Knowledge management Books

Book SynopsisUnternehmensmodellierung dient dazu, die wichtigsten Komponenten von Organisationen sowie deren Relationen zueinander abzubilden. Sie wird bei einer Vielzahl strategischer und operativer Aufgaben eingesetzt. In dem Buch erläutern die Autoren anhand der Methode „Kochbuch“ die Grundlagen und Einsatzwecke der Unternehmensmodellierung, insbesondere stellen sie die unterschiedlichen Perspektiven auf ein Unternehmen und die Analysetechniken dar. Die Konzepte und Methoden können durch genaue Vorgehensbeschreibungen unmittelbar angewendet werden.Table of ContentsEinführung.- Grundlagen der Unternehmensmodellierung.- Fallstudie.- Grundlegende Analysetechniken.- Teilmodelle der EKM-Methode.- Werkzeuge der Unternehmensmodellierung.- Die EKM-Methode in der Praxis.- Analyse von Unternehmensmodellen.- Ausblick.- Anhang.

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Book SynopsisDieses Buch führt in grundlegende Modelle und Methoden für die Planung, Steuerung und Überwachung von Unternehmensprozessen ein. Im Mittelpunkt der Diskussion steht die Analyse der Abläufe mit dem Ziel der Optimierung. Besondere Aufmerksamkeit wird analytischen und wissensbasierten Verfahren gewidmet. Zu diesem Zweck werden sowohl verschiedene Modelle entworfen als auch entsprechende Methoden zur Problemlösung vorgestellt. Dabei werden die Entwurfs- und die Realisierungsebene von Prozessen unterschieden und einer eingehenden Betrachtung unterzogen. Den Rahmen der Ausführungen bilden die Aufgaben des dispositiven ProzessmanagementsTable of ContentsVorwort.- 1. Grundlagen betriebswirtschaftlicher Prozesse.- 2. Planung von Unternehmensprozessen.- 3. Ablauforientiertes Prozessmanagement.- 4. Analytische Verfahren.- 5. Wissensbasierte Verfahren.- Literaturverzeichnis.

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Book SynopsisTable of ContentsImpact of the Covid-19 Pandemic on Supply Chain Management.- How Does Additive Manufacturing Affect the Spare Parts Supply Chain? – a Literature Review.- Design of a framework model for the implementation and application of a supply chain event management system.- Vom Logistiksystem über Supply Chains zu Business Ökosystemen: neue Herausforderungen für das Logistikmanagement.- Modellbasierter Entwurf eines Produktionssystems im Flugzeugbau.- Agile methods for complexity management: A literature overview.- Datenqualitätsherausforderungen in der Fahrzeuglogistik.- Methoden und Werkzeuge für die synergetische Konzeption und Bewertung von Industrie 4.0-Lösungen.- Data-Analytics-Projekte in der Beschaffung erfolgreich umsetzen.- Digitale Logistikplattformen – Erste Ansätze zur Marktsegmentierung im Lichte traditioneller und neuer Anbieter.- Produktentwicklung im Kontext von Industrie 4.0 in der Automobilindustrie – Eine bibliometrische Analyse.- Der digitale Logistikplaner - softwaregestützt Projekte meistern.- Circular Supply Management: Beitrag der Beschaffung zu wirksamer Nachhaltigkeit in Lieferketten.- Langsam, aber sicher: Mithilfe von digitalen Technologien auf dem Weg zur Beschaffung 4.0.- Facilitating knowledge sharing and cooperation in public procurement by professional social networks - learnings from the public administration and procurement network.- Optimierung der Losgröße mittels spektraler Präferenzen.- Bid-Preis gesteuerte Auftragsannahme in der Make-to-Order-Produktion unter Berücksichtigung von Kundenwertigkeiten.- An MIP-based heuristic decomposition approach for distributed energy resource scheduling.- Datenbasierte Infrastrukturoptimierung bidirektionaler Wasserstraßen mit Engstellen: Eine Fallstudie für den Nord-Ostsee-Kanal.- Optimierungsmodelle und Forschungsfragen in der Elektrizitätswirtschaft.- Simulation in der Computer-Chip-Produktion – Möglichkeiten und Grenzen.- Wie innovative Logistik hilft die Automatisierung und Digitalisierung der Halbleiterindustrie zukunftssicher und nachhaltig zu gestalten.- Printmedienzustellung bei Zeitlohn unter Verwendung von kantenorientierter Tourenplanung.- Aktuelle Bestandsaufnahme einer kundenindividuellen und nachhaltigen Lebensmittellogistik anhand einer Webscan-basierten Analyse.- Vehicle Routing and the VDI directive 2700/Part 4 on Axle Weight Constraints.- Individualization of public passenger transport: relevant planning problems and their synchronization.- Humanitäre Informationslogistik: Ein generisches Anlaufkonzept für eine Informationssystemlandschaft im pandemie-bedingten Katastrophenfall.- Betriebswirtschaftliche Leistungsmessung in der globalen humanitären Logistik.- Stand von Forschung und Lehre im Themenfeld der humanitären Logistik an deutschen Hochschulen.- Operative Hochwasserbekämpfung in einer akuten Gefahrenlage am Beispiel Dresden.

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Book SynopsisInformationsgesellschaft, Information als Wettbewerbsfaktor, Informationsflut: Diese Stichworte verdeutlichen die unternehmerische und gesellschaftliche Bedeutung von Informationen. Doch nicht nur Information allein, sondern auch die Systeme, die Informationen verarbeiten, speichern und übertragen sowie die Technologien, auf denen sie beruhen, verdienen Aufmerksamkeit. Informationsmanagement hat die Aufgabe, den im Hinblick auf das Unternehmensziel bestmöglichen Einsatz der Ressource Information zu gewährleisten. Es zählt zu den wesentlichen Bestandteilen heutiger Unternehmensführung. Das Lehrbuch vermittelt in 13 Einheiten die Grundlagen des Informationsmanagements. Dabei werden neben den Managementaufgaben der Informationswirtschaft, der Systeme und der Technologien auch ausgewählte Führungsaufgaben des Informationsmanagementsbehandelt. Jede Lehreinheit beginnt mit einem Überblick über die behandelten Themen und schließt mit einer Zusammenfassung sowie Aufgaben zur Wiederholung ab. So richtet sich dieses Buch insbesondere an Bachelorstudenten in den Fächern Wirtschaftsinformatik, BWL und Informatik. Table of ContentsVorwörter.- Einleitung.- 1. Grundlagen des Informationsmanagement.- 2. Management der Informationswirtschaft.- 3. Management der Informationssysteme.- 4. Management der Informations- und Kommunikationstechnik.- 5. Ausgewählte Führungsaufgaben des Informationsmanagements.- Verzeichnisse.

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Book SynopsisThis book provides an understanding of governance and its relevance to information security. It gives readers a clear, step-by-step approach to developing a sound security strategy aligned with their business objectives in order to ensure a predictable level of functionality and assurance.Table of ContentsINTRODUCTION. CHAPTER 1: GOVERNANCE OVERVIEW. 1.1 What Is It? 1.2 Back to Basics. 1.3 Origins of Governance. 1.4 Governance Definition. 1.5 Information Security Governance. 1.6 Six Outcomes of Effective Security Governance. 1.7 Defining Information, Data, Knowledge. 1.8 Value of Information. CHAPTER 2: WHY GOVERNANCE? 2.1 Benefits of Good Governance. 2.1.1 Aligning Security with Business Objectives. 2.1.2 Providing the structure and framework to optimize allocations of limited resources. 2.1.3 Providing assurance that critical decisions are not based on faulty information. 2.1.4 Ensuring accountability for safeguarding critical assets. 2.1.5 Increasing trust of customers and stakeholders. 2.1.6 Increasing the company’s worth. 2.1.7 Reducing liability for information inaccuracy or lack of due care in protection. 2.1.8 Increasing predictability and reducing uncertainty of business operations. 2.2 A Management Problem. CHAPTER 3: LEGAL AND REGULATORY REQUIREMENTS. 3.1 Security Governance and Regulation. CHAPTER 4: ROLES & RESPONSIBILITIES. 4.1 The Board of Directors. 4.2 Executive Management. 4.3 Security Steering Committee. 4.4 The CISCO. CHAPTER: STRATEGIC METRICS. 5.1 Governance Objectives. 5.1.1 Strategic Direction. 5.1.2 Ensuring Objectives are Achieved. 5.1.3. Risks Managed Appropriately. 5.1.4 Verifying Resources are Used Responsibly. CHAPTER 6: INFORMATION SECURITY OUTCOMES. 6.1 Defining Outcomes. 6.1.1 Strategic alignment. 6.1.2 Risk Management. 6.1.3 Business process assurance / convergence. 6.1.4 Value delivery. 6.1.5 Resource management. 6.1.6 Performance measurement. CHAPTER 7: SECURITY GOVERNANCE OBJECTIVES. 7.1 Security Architecture. 7.1.1 Managing Complexity. 7.1.2 Providing a Framework & Road Map. 7.1.3 Simplicity & Clarity through Layering & Modularisation. 7.1.4 Business Focus beyond the Technical Domain. 7.1.5 Objectives of Information Security Architectures. 7.1.6 SABSA Framework for Security Service Management. 7.1.7 SABSA Development Process. 7.1.8 SABSA Lifecycle. 7.1.9 SABSA Attributes. 7.2 COBIT. 7.3 Capability Maturity Model. 7.4 ISO/IEC 27001/ 27002. 7.4.1 ISO 27001. 7.4.2 ISO 27002. 7.5 Other Approaches. 7.5.1 National Cybersecurity Task Force. CHAPTER 8: RISK MANAGEMENT OBJECTIVES. Risk Management Responsibilities. Managing Risk Appropriately. 8.1 Determining Risk Management Objectives. 8.1.1 Recovery Time Objectives. CHAPTER 9: CURRENT STATE. 9.1 Current State of Security. 9.2 Current State of Risk Management. 9.3 Gap Analysis - Unmitigated Risk. 9.3.1 SABSA. 9.3.2 CMM. CHAPTER 10: DEVELOPING A SECURITY STRATEGY. 10.1 Failures of Strategy. 10.2 Attributes of A Good Security Strategy. 10.3 Strategy Resources. 10.3.1 Utilizing Architecture for Strategy Development. 10.3.2 Using Cobit for Strategy Development. 10.3.3 Using CMM for Strategy Development. 10.4 STRATEGY CONSTRAINTS. 10.4.1 Contextual constraints. 10.4.2 Operational constraints. CHAPTER 11: SAMPLE STRATEGY DEVELOPMENT. 11.1 The Process. CHAPTER 12: IMPLEMENTING STRATEGY. Action Plan Intermediate Goals. Action Plan Metrics. Re-engineering. Inadequate Performance. 12.1 Elements Of Strategy. 12.1.1 Policy Development. Attributes of Good Policies. Sample Policy Development. Other Policies. 12.1.2 Standards. Attributes of Good Standards. Sample Standards. Classifications. Standard Statement. CHAPTER 13: SECURITY PROGRAM DEVELOPMENT METRICS. 13.1 Information Security Program Development Metrics. 13.2 Program Development Operational Metrics. CHAPTER 14: INFORMATION SECURITY MANAGEMENT METRICS. 14.1 Management Metrics. 14.2 Security Management Decision Support Metrics. 14.4 CISO Decisions. 14.2.1 Strategic alignment. 14.2.2 Risk Management. 14.2.3 Metrics for Risk Management. 14.2.4 Assurance Process Integration. 14.2.5 Value Delivery. 14.2.6 Resource Management. 14.2.7 Performance Measurement. 14.7 Information Security Operational Metrics. 14.3.1 IT and Information Security Management. 14.3.2 Compliance Metrics. CHAPTER 15: INCIDENT MANAGEMENT AND RESPONSE METRICS. 15.1 Incident Management Decision Support Metrics. Conclusion. Appendix A. SABSA Business Attributes & Metrics. Appendix B. Cultural Worldviews. Heirarchists. Egalitarians. Individualists. Fatalists.

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Book SynopsisFrom cell phones to Web portals, advances in information and communications technology have thrust society into an information age that is far-reaching, fast-moving, increasingly complex, and yet essential to modern life. Now, renowned scholar and author David Luenberger has produced Information Science, a text that distills and explains the most important concepts and insights at the core of this ongoing revolution. The book represents the material used in a widely acclaimed course offered at Stanford University. Drawing concepts from each of the constituent subfields that collectively comprise information science, Luenberger builds his book around the five E''s of information: Entropy, Economics, Encryption, Extraction, and Emission. Each area directly impacts modern information products, services, and technology--everything from word processors to digital cash, database systems to decision making, marketing strategy to spread spectrum communication.Trade ReviewWinner of the 2006 Award for Best Professional/Scholarly Book in Computer & Information Science, Association of American Publishers "This is a fascinating and enjoyable book to read. It is clear throughout the book that David Luenberger is an experienced teacher who has put careful thought into his writing. He wrote and uses this book for a course in the Dept. of Engineering--Economic Systems and Operations Research at Stanford University. The students range from sophomores to graduate students, and the book is very readable for students at all of these levels."--Susan Kelly, The UMAP JournalTable of ContentsPreface xiii Chapter 1: INTRODUCTION 1 1.1 Themes of Analysis 2 1.2 Information Lessons 4 Part I: ENTROPY: The Foundation of Information Chapter 2: INFORMATION DEFINITION 9 2.1 A Measure of Information 10 2.2 The Definition of Entropy 12 2.3 Information Sources 14 2.4 Source Combinations 15 2.5 Bits as a Measure 16 2.6 About Claude E. Shannon 17 2.7 Exercises 18 2.8 Bibliography 19 Chapter 3: CODES 21 3.1 The Coding Problem 21 3.2 Average Code Length and Entropy 27 3.3 Shannon's First Theorem 30 3.4 Exercises 33 3.5 Bibliography 34 Chapter 4: COMPRESSION 35 4.1 Huffman Coding 35 4.2 Intersymbol Dependency 40 4.3 Lempel-Ziv Coding 44 4.4 Other Forms of Compression 48 4.5 Exercises 52 4.6 Bibliography 53 Chapter 5: CHANNELS 55 5.1 Discrete Channel 56 5.2 Conditional and Joint Entropies 57 5.3 Flipping a Channel 60 5.4 Mutual Information 62 5.5 Capacity* 65 5.6 Shannon's Second Theorem* 66 5.7 Exercises 68 5.8 Bibliography 69 Chapter 6: ERROR-CORRECTING CODES 70 6.1 Simple Code Concepts 71 6.2 Hamming Distance 73 6.3 Hamming Codes 75 6.4 Linear Codes 77 6.5 Low-Density Parity Check Codes 78 6.6 Interleaving 79 6.7 Convolutional Codes 80 6.8 Turbo Codes 82 6.9 Applications 83 6.10 Exercises 85 6.11 Bibliography 86 Summary of Part I 89 Part II: ECONOMICS: Strategies for Value Chapter 7: MARKETS 93 7.1 Demand 94 7.2 Producers 97 7.3 Social Surplus 99 7.4 Competition 100 7.5 Optimality of Marginal Cost Pricing 101 7.6 Linear Demand Curves 102 7.7 Copyright and Monopoly 103 7.8 Other Pricing Methods 107 7.9 Oligopoly 108 7.10 Exercises 111 7.11 Bibliography 113 Chapter 8: PRICING SCHEMES 114 8.1 Discrimination 114 8.2 Versions 116 8.3 Bundling 119 8.4 Sharing 124 8.5 Exercises 127 8.6 Bibliography 128 Chapter 9: VALUE 130 9.1 Conditional Information 131 9.2 Informativity and Generalized Entropy* 133 9.3 Decisions 135 9.4 The Structure of Value 135 9.5 Utility Functions* 139 9.6 Informativity and Decision Making* 140 9.7 Exercises 141 9.8 Bibliography 142 Chapter 10: INTERACTION 143 10.1 Common Knowledge 144 10.2 Agree to Disagree? 146 10.3 Information and Decisions 149 10.4 A Formal Analysis* 150 10.5 Metcalfe's Law 153 10.6 Network Economics* 155 10.7 Exercises 159 10.8 Bibliography 160 Summary of Part II 161 Part III: ENCRYPTION: Security through Mathematics Chapter 11: CIPHERS 165 11.1 Definitions 166 11.2 Example Ciphers 166 11.3 Frequency Analysis 169 11.4 Cryptograms 169 11.5 The Vigenere Cipher 171 11.6 The Playfair Cipher 174 11.7 Homophonic Codes 175 11.8 Jefferson's Wheel Cipher 176 11.9 The Enigma Machine 177 11.10 The One-Time Pad 181 11.11 Exercises 183 11.12 Bibliography 184 Chapter 12: CRYPTOGRAPHY THEORY 186 12.1 Perfect Security 186 12.2 Entropy Relations 188 12.3 Use of a One-Time Pad* 193 12.4 The DES and AES Systems 196 12.5 Exercises 197 12.6 Bibliography 198 Chapter 13: PUBLIC KEY CRYPTOGRAPHY 200 13.1 A Basic Dilemma 200 13.2 One-Way Functions 201 13.3 Discrete Logarithms 202 13.4 Diffie-Hellman Key Exchange 203 13.5 Modular Mathematics 205 13.6 Alternative Puzzle Solution 208 13.7 RSA 209 13.8 Square and Multiply* 211 13.9 Finding Primes* 213 13.10 Performance* 214 13.11 The Future 215 Appendix: The Extended Euclidean Algorithm 216 13.12 Exercises 217 13.13 Bibliography 218 Chapter 14: SECURITY PROTOCOLS 220 14.1 Digital Signatures 220 14.2 Blinded Signatures 223 14.3 Digital Cash 225 14.4 Identification 226 14.5 Zero-Knowledge Proofs 228 14.6 Smart Cards 231 14.7 Exercises 234 14.8 Bibliography 235 Summary of Part III 237 Part IV: EXTRACTION: Information from Data Chapter 15: DATA STRUCTURES 241 15.1 Lists 241 15.2 Trees 244 15.3 Traversal of Trees 247 15.4 Binary Search Trees (BST) 248 15.5 Partially Ordered Trees 252 15.6 Tries* 254 15.7 Basic Sorting Algorithms 255 15.8 Quicksort 257 15.9 Heapsort 260 15.10 Merges 261 15.11 Exercises 262 15.12 Bibliography 263 Chapter 16: DATABASE SYSTEMS 264 16.1 Relational Structure 264 16.2 Keys 267 16.3 Operations 267 16.4 Functional Dependencies 271 16.5 Normalization 271 16.6 Joins and Products* 277 16.7 Database Languages 279 16.8 Exercises 281 16.9 Bibliography 282 Chapter 17: INFORMATION RETRIEVAL 284 17.1 Inverted Files 285 17.2 Strategies for Indexing 287 17.3 Inverted File Compression* 291 17.4 Queries 293 17.5 Ranking Methods 294 17.6 Network Rankings 296 17.7 Exercises 299 17.8 Bibliography 299 Chapter 18: DATA MINING 301 18.1 Overview of Techniques 301 18.2 Market Basket Analysis 303 18.3 Least-Squares Approximation 306 18.4 Classification Trees 310 18.5 Bayesian Methods 314 18.6 Support Vector Machines 319 18.7 Other Methods 323 18.8 Exercises 325 18.9 Bibliography 327 Summary of Part IV 327 Part V: EMISSION: The Mastery of Frequency Chapter 19: FREQUENCY CONCEPTS 331 19.1 The Telegraph 334 19.2 When Dots Became Dashes 335 19.3 Fourier Series 338 19.4 The Fourier Transform 339 19.5 Thomas Edison and the Telegraph 342 19.6 Bell and the Telephone 342 19.7 Lessons in Frequency 345 19.8 Exercises 347 19.9 Bibliography 349 Chapter 20: RADIO WAVES 350 20.1 Why Frequencies? 350 20.2 Resonance 354 20.3 The Birth of Radio 354 20.4 Marconi's Radio 355 20.5 The Spark Bandwidth 357 20.6 The Problems 359 20.7 Continuous Wave Generation 360 20.8 The Triode Vacuum Tube 361 20.9 Modulation Mathematics 363 20.10 Heterodyne Principle 365 20.11 Frequency Modulation 367 20.12 Exercises 369 20.13 Bibliography 372 Chapter 21: SAMPLING AND CAPACITY 373 21.1 Entropy 373 21.2 Capacity of the Gaussian Channel 376 21.3 Sampling Theorem 378 21.4 Generalized Sampling Theorem* 380 21.5 Thermal Noise 383 21.6 Capacity of a Band-Limited Channel 384 21.7 Spread Spectrum 385 21.8 Spreading Technique 387 21.9 Multiple Access Systems 388 21.10 Exercises 391 21.11 Bibliography 392 Chapter 22: NETWORKS 393 22.1 Poisson Processes 394 22.2 Frames 395 22.3 The ALOHA System 396 22.4 Carrier Sensing 398 22.5 Routing Algorithms 399 22.6 The Bellman-Ford Algorithm 400 22.7 Distance Vector Routing 401 22.8 Dijkstra's Algorithm 402 22.9 Other Issues 404 22.10 Exercises 405 22.11 Bibliography 406 Summary of Part V 407 Index 409

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Book SynopsisIn The Patron's Payoff, Jonathan Nelson and Richard Zeckhauser apply the innovative methods of information economics to the study of art. Their findings, written in highly accessible prose, are surprising and important. Building on three economic concepts--signaling, signposting, and stretching--the book develops the first systematic methodology foTrade ReviewOne of Choice's Outstanding Academic Titles for 2009 "[E]nlightening."--Times Literary Supplement "But the basic point of this book--that a careful study of economic and related social needs can help us further understand the genesis of many works of visual culture--is undeniable, and the editors' and authors' cogent presentation of the possibilities inherent in their approach is masterful. Recognizing the motivations of elites expands our understanding of the roles that visual works could play during the period we now identify as the Italian Renaissance. As a reviewer I congratulate Nelson and Zeckhauser, while continuing to lament art history's inability--in the Renaissance at least--to gain access to a broader understanding of the diverse society and complex and subtle culture that supported the production of these works."--David G. Wilkins, CAA Reviews "In The Patron's Payoff, art historian Jonathan K. Nelson and economist Richard J. Zeckhauser have harnessed their separate disciplines into a new analytical key for understanding the linked motivations of patron and artist or architect in conspicuous commissions... No less than the American financier who donates a museum wing on condition it bears his name, or the merchandiser who endows a university institute named for him, the results of Renaissance patronage had to be, first of all, highly visible."--Judith Harris, California Literary Review "Nelson and Zeckhauser offer historians of art and culture a powerful method for appraising the driving force behind works of art commissioned in the Renaissance... The Patron's Payoff offers and innovative and potent tool for probing how works of art functioned in Renaissance social life."--Michelle O'Malley, Renaissance Quarterly "The book's interdisciplinary approach provides a blueprint for others who might test these concepts with patrons and periods necessarily omitted from this study. Common language and readable prose illuminate the theory and animate the relationships between works of art, patrons, artists, and audience. This book will be useful to art historians, cultural historians, economists, and others interested in the significance of the production and consumption of elite culture."--D.N. Dow, Choice "These are all well-written, interesting, well-researched essays, varying in chronological range and in geographical focus."--Bernadine Barnes, EH.net "[T]his volume is a model of how cross-disciplinary interaction can enrich the understanding of practitioners in two participating disciplines."--Neil De Marchi, Journal of Economic Literature "The Patron's Payoff is impressive not only for its innovative interdisciplinary approach and the compilation of an extensive source material ... the reading [is] very entertaining, and clearly shows that even high-profile science can be attractive and intelligible."--Mila Horky, Sehepunkte "[This] book [is] an innovative examination of art, economics, and communication that should be required reading for all who admire Italy's grand masterpieces as well as those who have made the study of Renaissance art and architecture a profession."--Fredrika Jacobs, European Legacy "One hopes that information economists will gain as much as art historians can from this book."--Sally Hickson, Renaissance and ReformationTable of ContentsIllustrations ix Foreword xiii Preface xvii Introduction 1 Part I: THE COMMISSIONING GAME 15 Chapter One: Main Players: Patrons, Artists, and Audiences 17 Chapter Two: Analytic Framework: Benefits, Costs, and Constraints 37 Chapter Three: Theories of Distinction: Magnificence and Signaling 67 Chapter Four: Selecting and Magnifying Information: Signposting and Stretching 85 Part II: THE PATRON'S PAYOFF 111 Chapter Five: Private Chapels in Florence: A Paradise for Signalers by Jonathan K. Nelson and Richard J. Zeckhauser 113 Chapter Six: Commissioning Familial Remembrance in Fourteenth-Century Florence: Signaling Alberti Patronage at the Church of Santa Croce by Thomas J. Loughman 133 Chapter Seven: Signs of Success: Leone Leoni's Signposting in Sixteenth-Century Milan by Kelley Helmstutler Di Dio 149 Chapter Eight: Mantegna's Madonna della Vittoria and the Rewriting of Gonzaga History by Molly Bourne 166 Chapter Nine: Image Is Everything: Visual Art as Self-Advertising (Europe and America) by Larry Silver 185 Contributors 225 Index 227

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Book SynopsisTrade Review"In this highly original volume, Jason Davis revisits the classic problem that individual and organizational goals typically diverge. He does so in the context of modern digital media that dramatically facilitate individuals' creation of network ties. When such networking is at cross-purposes to organizational well-being – as often happens when weak ties proliferate – managers badly need the ingenious advice that Davis offers."—Mark Granovetter, Joan Butler Ford Professor, Stanford University; author of Society and Economy: Framework and Principles"Rarely does a book come along that so completely rewrites what we thought we knew. Digital Relationships is just such a book. It's a 'must-read' for academics and executives who want to understand why social networks are so challenging. By probing the deepening chasm between individual and organizational interests, Digital Relationships will re-shape your conception of how social networks work. And more often, don't."—Kathleen Eisenhardt, S. W. Ascherman Professor, Stanford University; co-author of Simple Rules: How to Thrive in a Complex WorldTable of Contents1. Networks are the Problem: Confronting the Social Capital Consensus 2. Too Many Ties: Divergent Interests with the Falling Costs of Digital Networking 3. Ties Too Weak: Insufficient Firm-Specific Social Investments to Mobilize Diversity 4. Entrenched Brokers and Ossified Bridges: Monopolies of Information and Control 5. Scale Too Free: Negative Externalities of Inequality in Social Capital 6. Persistence: Managerial Intervention Transience and the Reemergence of Agency Problems 7. Agentic Function of the Executive: Strategic Social Capital and the Work-From-Home Experiment 8. Network Governance:ReinterpretingOrganizational Design and Boundaries 9. Network Agency over the Life Cycle: Entrepreneurship and Innovation Ecosystems 10. A Research Agenda: More Cases, More Models, More Experiments

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Book SynopsisThis pathbreaking book goes some way to fill this gap in the literature and as such, will prove invaluable to academics, R&D managers, regional policy makers and students with an interest in international business, business economics, regional studies and organization studies.Trade ReviewThis wonderful volume brings together contributions mainly from the innovation literature, whose findings are in a sense quite familiar, but which in this collection are juxtaposed in such a way as to highlight their common institutional underpinnings. This is very much due to the efforts of the editor, whose insightful introduction and editorial vision brings out several interesting and emerging themes from this collection of papers. I think this volume breaks new ground in highlighting the embeddedness of MNE subsidiaries in multiple contexts, and it will be of considerable interest to scholars engaged with institutional analysis. However, I also believe that researchers interested in regional embeddedness, the geography of innovation, and knowledge management will find new angles to their work in this collected volume. --- Sarianna M. Lundan, University of Bremen, GermanyTable of ContentsContents: 1. Introduction: The Debate on Corporate Embeddedness Martin Heidenreich PART I: CHALLENGES AND VARIETIES OF CORPORATE EMBEDDEDNESS 2. Regional Embeddedness of Multinational Companies and their Limits: A Typology Martin Heidenreich and Jannika Mattes 3. The Multi-home-based Corporation: Solving an Insider–Outsider Dilemma Örjan Sölvell 4. MNCs between the Local and the Global: Knowledge Bases, Proximity and Distributed Knowledge Networks Bjørn T. Asheim, Bernd Ebersberger and Sverre J. Herstad 5. MNCs, Clusters and Varieties of Innovative Impulse Philip Cooke PART II: KNOWLEDGE INFRASTRUCTURES AS EMBEDDING DEVICES 6. Simulating the Role of MNCs for Knowledge and Capital Dynamics in Networks of Innovation Petra Ahrweiler, Michel Schilperoord, Nigel Gilbert and Andreas Pyka 7. Technological Capabilities and the Regional Embeddedness of Multinational Enterprises. A Case Study of Germany and the UK Simona Iammarino, Jan-Philipp Kramer, Elisabetta Marinelli and Javier Revilla Diez 8. The Organizational Decomposition of Innovation and Territorial Knowledge Dynamics: Insights from the German Software Industry Simone Strambach and Benjamin Klement 9. The Impact of Regional Institutional Characteristics on the Location of MNCs – a European Perspective Knut Koschatzky and Elisabeth Baier PART III: THE SOCIAL AND POLITICAL CONSTRUCTION OF CORPORATE EMBEDDEDNESS 10. Modes of Regional Embeddedness: Companies in Seven European Regions Compared Dieter Rehfeld 11. The Pôles de Compétitivité: Regional Innovation Clusters with a French Touch Christoph Barmeyer and Katharina Krüth 12. Multinational Companies and the Production of Collective Goods in Central and Eastern Europe Bob Hancké 13. The Role of Multinational Corporations in the National Innovation Systems of the EU New Member States Rajneesh Narula and José Guimón 14. Conclusion: Corporate Embeddedness as a Strategic and Dynamic Process of Skilled Actors Jannika Mattes and Martin Heidenreich Index

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Book SynopsisWith in-depth analysis, this book will appeal to academics and students of STS (Science, Technology and Society), history of science and technology, business history, innovation studies, law, science and technology policy as well as business studies.Trade ReviewArapostathis and Dutfield's rich and well-edited collection offers a cogent challenge to patent-centred views of innovation. Their seventeen authors persuasively show that patenting is just one of a repertoire of tools successfully used to protect innovative work in a broad variety of context-dependent ways. It is essential reading for anyone wanting to learn about past contingencies in the transformation of techno-scientific creativity into wealth.- Graeme Gooday, University of Leeds, UKEssential reading, not just for IP historians and lawyers, but for anyone concerned at the insidious corporate take-over of modern life. It explodes the fallacy that patent systems exist to safeguard inventors' interests: the 20th Century saw inventors become salaried corporate employees, universities adopt a model of academic entrepreneurship, and IPRs create their own, increasingly global, logic. Yet, from Left and Right now arise fundamental ethical questions: isn't intellectual property just legal chicanery; shouldn't knowledge be a universal, public good? --- Christine MacLeod, University of Bristol, UKTable of ContentsContents: Introduction Stathis Arapostathis and Graham Dutfield PART I: INNOVATION CULTURES AND KNOWLEDGE MANAGEMENT 1. ‘Claim the Earth’: Protecting Edison’s Inventions at Home and Abroad Paul Israel 2. Managing Invention: Setting the Boundaries of Ownership Andrea R. Maestrejuan 3. The Photographic Paper that Made Leo Baekeland’s Reputation: Entrepreneurial Incentives for not Patenting Joris Mercelis 4. Software Piracy: Not necessarily Evil – or its Role in Software Development in Greece Theodore Lekkas PART II: INDIVIDUALS, INSTITUTIONS AND THE MANAGEMENT OF INTANGIBLE ASSETS 5. Collective Invention and Patent Law Individualism, 1877–2012 – or, the Curious Persistence of Inventor’s Moral Right Graham Dutfield 6. Something in the Air: The Post Office and Early Wireless, 1882–1899 Elizabeth Bruton 7. Contested Inventors: British Patent Disputes and the Culture of Invention in the Late Nineteenth Century Stathis Arapostathis 8. From Colour TV War to Non-Aggression Pact: Patents as Actants of Techno-political Diplomacy in a European Standardization Process Andreas Fickers PART III: KNOWLEDGE MANAGEMENT AND THE INDUSTRY-STATE-ACADEMIA NEXUS 9. Commerce and Academe: American Universities as Hosts of Entrepreneurial Science, 1880–1920 Susan W. Morris 10. Managing Knowledge in ‘Systematised Plant Breeding’: Mendelism and British Agricultural Science, 1900–1930 Berris Charnley 11. Patenting the Atom: The Controversial Management of State Secrecy and Intellectual Property Rights in Atomic Research Simone Turchetti PART IV: TECHNO-SCIENCES AND GLOBAL IP REGIMES: FROM HISTORY TO PRESENT CONCERNS 12. The International Patent System and the Ethics of Global Justice Henk van den Belt and Michiel Korthals 13. Intellectual Property Rights in the Plant Sciences and Development Goals in Agriculture: An Historical Perspective Niels Louwaars, Bram de Jonge and Peter Munyi 14. Business TRIPS: American Corporations and Patents Head to the Global South, 1950–2010 Eda Kranakis Index

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Book SynopsisCollecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets.Trade Review"I first taught a Ph.D. level course in business applications of data mining 10 years ago. I regularly search the web, looking for business-oriented data mining books, and this is the first one I have found that is suitable for an MS in business analytics. I plan to use it. Anyone who teaches such a class and is inclined toward R should consider this text." (Journal of the American Statistical Association, 1 January 2014)Table of ContentsPreface ix Acknowledgments xi 1. Introduction 1 Reference 6 2. Processing the Information and Getting to Know Your Data 7 2.1 Example 1: 2006 Birth Data 7 2.2 Example 2: Alumni Donations 17 2.3 Example 3: Orange Juice 31 References 39 3. Standard Linear Regression 40 3.1 Estimation in R 43 3.2 Example 1: Fuel Efficiency of Automobiles 43 3.3 Example 2: Toyota Used-Car Prices 47 Appendix 3.A The Effects of Model Overfitting on the Average Mean Square Error of the Regression Prediction 53 References 54 4. Local Polynomial Regression: a Nonparametric Regression Approach 55 4.1 Model Selection 56 4.2 Application to Density Estimation and the Smoothing of Histograms 58 4.3 Extension to the Multiple Regression Model 58 4.4 Examples and Software 58 References 65 5. Importance of Parsimony in Statistical Modeling 67 5.1 How Do We Guard Against False Discovery 67 References 70 6. Penalty-Based Variable Selection in Regression Models with Many Parameters (LASSO) 71 6.1 Example 1: Prostate Cancer 74 6.2 Example 2: Orange Juice 78 References 82 7. Logistic Regression 83 7.1 Building a Linear Model for Binary Response Data 83 7.2 Interpretation of the Regression Coefficients in a Logistic Regression Model 85 7.3 Statistical Inference 85 7.4 Classification of New Cases 86 7.5 Estimation in R 87 7.6 Example 1: Death Penalty Data 87 7.7 Example 2: Delayed Airplanes 92 7.8 Example 3: Loan Acceptance 100 7.9 Example 4: German Credit Data 103 References 107 8. Binary Classification, Probabilities, and Evaluating Classification Performance 108 8.1 Binary Classification 108 8.2 Using Probabilities to Make Decisions 108 8.3 Sensitivity and Specificity 109 8.4 Example: German Credit Data 109 9. Classification Using a Nearest Neighbor Analysis 115 9.1 The k-Nearest Neighbor Algorithm 116 9.2 Example 1: Forensic Glass 117 9.3 Example 2: German Credit Data 122 Reference 125 10. The Na¨ýve Bayesian Analysis: a Model for Predicting a Categorical Response from Mostly Categorical Predictor Variables 126 10.1 Example: Delayed Airplanes 127 Reference 131 11. Multinomial Logistic Regression 132 11.1 Computer Software 134 11.2 Example 1: Forensic Glass 134 11.3 Example 2: Forensic Glass Revisited 141 Appendix 11.A Specification of a Simple Triplet Matrix 147 References 149 12. More on Classification and a Discussion on Discriminant Analysis 150 12.1 Fisher’s Linear Discriminant Function 153 12.2 Example 1: German Credit Data 154 12.3 Example 2: Fisher Iris Data 156 12.4 Example 3: Forensic Glass Data 157 12.5 Example 4: MBA Admission Data 159 Reference 160 13. Decision Trees 161 13.1 Example 1: Prostate Cancer 167 13.2 Example 2: Motorcycle Acceleration 179 13.3 Example 3: Fisher Iris Data Revisited 182 14. Further Discussion on Regression and Classification Trees, Computer Software, and Other Useful Classification Methods 185 14.1 R Packages for Tree Construction 185 14.2 Chi-Square Automatic Interaction Detection (CHAID) 186 14.3 Ensemble Methods: Bagging, Boosting, and Random Forests 188 14.4 Support Vector Machines (SVM) 192 14.5 Neural Networks 192 14.6 The R Package Rattle: A Useful Graphical User Interface for Data Mining 193 References 195 15. Clustering 196 15.1 k-Means Clustering 196 15.2 Another Way to Look at Clustering: Applying the Expectation-Maximization (EM) Algorithm to Mixtures of Normal Distributions 204 15.3 Hierarchical Clustering Procedures 212 References 219 16. Market Basket Analysis: Association Rules and Lift 220 16.1 Example 1: Online Radio 222 16.2 Example 2: Predicting Income 227 References 234 17. Dimension Reduction: Factor Models and Principal Components 235 17.1 Example 1: European Protein Consumption 238 17.2 Example 2: Monthly US Unemployment Rates 243 18. Reducing the Dimension in Regressions with Multicollinear Inputs: Principal Components Regression and Partial Least Squares 247 18.1 Three Examples 249 References 257 19. Text as Data: Text Mining and Sentiment Analysis 258 19.1 Inverse Multinomial Logistic Regression 259 19.2 Example 1: Restaurant Reviews 261 19.3 Example 2: Political Sentiment 266 Appendix 19.A Relationship Between the Gentzkow Shapiro Estimate of “Slant” and Partial Least Squares 268 References 271 20. Network Data 272 20.1 Example 1: Marriage and Power in Fifteenth Century Florence 274 20.2 Example 2: Connections in a Friendship Network 278 References 292 Appendix A: Exercises 293 Exercise 1 294 Exercise 2 294 Exercise 3 296 Exercise 4 298 Exercise 5 299 Exercise 6 300 Exercise 7 301 Appendix B: References 338 Index 341

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Book SynopsisThe classic guide to instructional design, fully updated for the new ways we learn Rapid Instructional Design is the industry standard guide to creating effective instructional materials, providing no-nonsense practicality rather than theory-driven text. Beginning with a look at what instructional design really means, readers are guided step-by-step through the ADDIE model to explore techniques for analysis, design, development, intervention, and evaluation. This new third edition has been updated to cover new applications, technologies, and concepts, and includes many new templates, real-life examples, and additional instructor materials. Instruction delivery has expanded rapidly in the nine years since the second edition''s publication, and this update covers all the major advances in the field. The major instructional models are expanded to apply to e-learning, MOOCs, mobile learning, and social network-based learning. Informal learning and communities of practice Table of ContentsTool List vii Preface for the Third Edition xiii Introduction xv Purpose xv Audiences xvi Special Elements xvii Organization of the Book xix Chapter 1 What Is This Instructional Design Stuff Anyway? 1 Why Instructional Design? 2 What Is Instructional Design? 3 A Few Definitions 5 Advantages of Instructional Design 9 Disadvantages of Instructional Design 13 Chapter 2 Before You Do Anything: Pre-Instructional Design Activities 17 Organizational Needs 18 Performance Assessment 23 Assessing Training Needs 33 Choosing Needs to Address 39 The Needs Assessment Report 42 Quick and Dirty Cost/Benefit Analysis 47 Training Needs Analysis 54 Chapter 3 Do You Know What You Need to Do? Analysis 63 Data-Collection Methods 64 Why Analyze? 73 Types of Analysis 73 Computer-Aided Analysis 102 Chapter 4 How to Do It: Design 107 Make the Right Decision Now 107 Delivery Decision 108 Objectives 128 Design Documents 143 Course Descriptions 161 Gathering Content 162 Adding Structure: The Instructional Plan 168 Trainee Evaluation (Test Questions and Tests) 178 Hints for Designing in Various Formats 196 Chapter 5 Doing It Right: Development 203 End Products of Development 203 The Facilitator Guide as an End Product 205 Scripts and Storyboards 231 Participant Packages and Other Print Materials 235 Other Media 239 Hints for Developing Material 247 Chapter 6 Getting It Where It Does the Most Good: Implementation 263 Beta Tests and Pilots 263 Reviews Revisited 279 Common Implementation Issues 282 Other Instructor-Led Classroom Implementation Needs 287 Hints for Implementation 299 Field Trips 306 Chapter 7 Did It Do Any Good? Evaluation 311 Why Evaluation? 311 The Key to Good Evaluation 312 Types of Evaluation 315 Evaluation of Self-Instruction Programs 334 Revisions: What to Do with What You’ve Learned 338 Hints for Evaluating 344 Chapter 8 Doing It Faster: More Rapid Design Shortcuts 353 Software for Instructional Design 354 Analysis Software 355 Test Development Software 355 Miscellaneous Software 356 Rapid Prototyping 356 Learning Objects/Granular Training 357 Public Courses 358 Off-The-Shelf Programs 358 Technology Vendors 358 Performance Support–Based “Training” 359 Problem-Based Learning (PBL) 361 Training Management Systems/Learning Management Systems (LMS)/Learning Content Management Systems (LCMS) 361 Digital Cameras 362 What Does an ID Do? 362 Miscellaneous 364 Chapter 9 Asynchronous e-Learning Design 367 Definitions 367 Creating and Implementing an e-Learning System 369 Determining a Comprehensive e-Learning Strategy 371 Designing and Developing Good Programs 373 Learning Management Systems and Learning Content Management Systems 374 Preparing the Organization Globally for e-Learning 378 Self-Direction and e-Learning 380 Planning for a Smooth, Successful Implementation 384 Creating an Effective Monitoring and Evaluation Plan 385 Asynchronous e-Learning Design and Development 387 Analysis 387 Material Development 390 Learner Evaluation 397 Learner Interfaces 398 Beta Tests and Pilots 399 Software 400 Repurposing 401 Evaluating Asynchronous e-Learning Programs 403 Summary 403 Chapter 10 Synchronous e-Learning Design 409 Advantages 409 Disadvantages and Misconceptions 410 Design Considerations for Synchronous e-Learning 413 Mini-Interactions 414 Repurposing and Redesigning Synchronous e-Learning Programs 415 Other Synchronous Activities 416 More Detailed Facilitator Guides 419 Learner Guide 422 General Technology Considerations 423 Media 425 Designing Continuing Interactions 430 Audience Analysis 432 Implementation 434 Online Learning: A Special Type of e-Learning 446 What the Learners Say 451 Chapter 11 New Design Applications 453 Flipped Classrooms 453 Mobile Learning 457 Virtual Learning Environments 461 Social Network–Based Learning 463 Massive Open Online Courses (MOOCs) 466 Communities of Practice 468 Informal Learning 469 The Cloud 471 Glossary 475 Suggested Readings 499 Other Resources 511 About the Author 517 Index 519

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Book SynopsisLeverage Big Data analytics methodologies to add value to geophysical and petrophysical exploration data Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models demonstrates a new approach to geophysics and petrophysics data analysis using the latest methods drawn from Big Data. Written by two geophysicists with a combined 30 years in the industry, this book shows you how to leverage continually maturing computational intelligence to gain deeper insight from specific exploration data. Case studies illustrate the value propositions of this alternative analytical workflow, and in-depth discussion addresses the many Big Data issues in geophysics and petrophysics. From data collection and context through real-world everyday applications, this book provides an essential resource for anyone involved in oil and gas exploration. Recent and continual advances in machine learning are driving a rapid increase in empirical modeling capabilities. ThisTable of ContentsForeword xv Preface xxi Acknowledgments xxiii Chapter 1 Introduction to Data-Driven Concepts 1 Introduction 2 Current Approaches 2 Is There a Crisis in Geophysical and Petrophysical Analysis? 3 Applying an Analytical Approach 4 What Are Analytics and Data Science? 5 Meanwhile, Back in the Oil Industry 8 How Do I Do Analytics and Data Science? 10 What Are the Constituent Parts of an Upstream Data Science Team? 13 A Data-Driven Study Timeline 15 What Is Data Engineering? 18 A Workflow for Getting Started 19 Is It Induction or Deduction? 30 References 32 Chapter 2 Data-Driven Analytical Methods Used in E&P 34 Introduction 35 Spatial Datasets 36 Temporal Datasets 37 Soft Computing Techniques 39 Data Mining Nomenclature 40 Decision Trees 43 Rules-Based Methods 44 Regression 45 Classification Tasks 45 Ensemble Methodology 48 Partial Least Squares 50 Traditional Neural Networks: The Details 51 Simple Neural Networks 54 Random Forests 59 Gradient Boosting 60 Gradient Descent 60 Factorized Machine Learning 62 Evolutionary Computing and Genetic Algorithms 62 Artificial Intelligence: Machine and Deep Learning 64 References 65 Chapter 3 Advanced Geophysical and Petrophysical Methodologies 68 Introduction 69 Advanced Geophysical Methodologies 69 How Many Clusters? 70 Case Study: North Sea Mature Reservoir Synopsis 72 Case Study: Working with Passive Seismic Data 74 Advanced Petrophysical Methodologies 78 Well Logging and Petrophysical Data Types 78 Data Collection and Data Quality 82 What Does Well Logging Data Tell Us? 84 Stratigraphic Information 86 Integration with Stratigraphic Data 87 Extracting Useful Information from Well Reports 89 Integration with Other Well Information 90 Integration with Other Technical Domains at the Well Level 90 Fundamental Insights 92 Feature Engineering in Well Logs 95 Toward Machine Learning 98 Use Cases 98 Concluding Remarks 99 References 99 Chapter 4 Continuous Monitoring 102 Introduction 103 Continuous Monitoring in the Reservoir 104 Machine Learning Techniques for Temporal Data 105 Spatiotemporal Perspectives 106 Time Series Analysis 107 Advanced Time Series Prediction 108 Production Gap Analysis 112 Digital Signal Processing Theory 117 Hydraulic Fracture Monitoring and Mapping 117 Completions Evaluation 118 Reservoir Monitoring: Real-Time Data Quality 119 Distributed Acoustic Sensing 122 Distributed Temperature Sensing 123 Case Study: Time Series to Optimize Hydraulic Fracture Strategy 129 Reservoir Characterization and Tukey Diagrams 131 References 138 Chapter 5 Seismic Reservoir Characterization 140 Introduction 141 Seismic Reservoir Characterization: Key Parameters 141 Principal Component Analysis 146 Self-Organizing Maps 146 Modular Artificial Neural Networks 147 Wavelet Analysis 148 Wavelet Scalograms 157 Spectral Decomposition 159 First Arrivals 160 Noise Suppression 161 References 171 Chapter 6 Seismic Attribute Analysis 174 Introduction 175 Types of Seismic Attributes 176 Seismic Attribute Workflows 180 SEMMA Process 181 Seismic Facies Classification 183 Seismic Facies Dataset 188 Seismic Facies Study: Preprocessing 189 Hierarchical Clustering 190 k-means Clustering 193 Self-Organizing Maps (SOMs) 194 Normal Mixtures 195 Latent Class Analysis 196 Principal Component Analysis (PCA) 198 Statistical Assessment 200 References 204 Chapter 7 Geostatistics: Integrating Seismic and Petrophysical Data 206 Introduction 207 Data Description 208 Interpretation 210 Estimation 210 The Covariance and the Variogram 211 Case Study: Spatially Predicted Model of Anisotropic Permeability 214 What Is Anisotropy? 214 Analysis with Surface Trend Removal 215 Kriging and Co-kriging 224 Geostatistical Inversion 229 Geophysical Attribute: Acoustic Impedance 230 Petrophysical Properties: Density and Lithology 230 Knowledge Synthesis: Bayesian Maximum Entropy (BME) 231 References 237 Chapter 8 Artificial Intelligence: Machine and Deep Learning 240 Introduction 241 Data Management 243 Machine Learning Methodologies 243 Supervised Learning 244 Unsupervised Learning 245 Semi-Supervised Learning 245 Deep Learning Techniques 247 Semi-Supervised Learning 249 Supervised Learning 250 Unsupervised Learning 250 Deep Neural Network Architectures 251 Deep Forward Neural Network 251 Convolutional Deep Neural Network 253 Recurrent Deep Neural Network 260 Stacked Denoising Autoencoder 262 Seismic Feature Identification Workflow 268 Efficient Pattern Recognition Approach 268 Methods and Technologies: Decomposing Images into Patches 270 Representing Patches with a Dictionary 271 Stacked Autoencoder 272 References 274 Chapter 9 Case Studies: Deep Learning in E&P 276 Introduction 277 Reservoir Characterization 277 Case Study: Seismic Profile Analysis 280 Supervised and Unsupervised Experiments 280 Unsupervised Results 282 Case Study: Estimated Ultimate Recovery 288 Deep Learning for Time Series Modeling 289 Scaling Issues with Large Datasets 292 Conclusions 292 Case Study: Deep Learning Applied to Well Data 293 Introduction 293 Restricted Boltzmann Machines 294 Mathematics 297 Case Study: Geophysical Feature Extraction: Deep Neural Networks 298 CDNN Layer Development 299 Case Study: Well Log Data-Driven Evaluation for Petrophysical Insights 302 Case Study: Functional Data Analysis in Reservoir Management 306 References 312 Glossary 314 About the Authors 320 Index 323

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Book SynopsisA comprehensive introduction to the theory and practice of contemporary data science analysis for railway track engineering Featuring a practical introduction to state-of-the-art data analysis for railway track engineering, Big Data and Differential Privacy: Analysis Strategies for Railway Track Engineering addresses common issues with the implementation of big data applications while exploring the limitations, advantages, and disadvantages of more conventional methods. In addition, the book provides a unifying approach to analyzing large volumes of data in railway track engineering using an array of proven methods and software technologies. Dr. Attoh-Okine considers some of today's most notable applications and implementations and highlights when a particular method or algorithm is most appropriate. Throughout, the book presents numerous real-world examples to illustrate the latest railway engineering big data applications of predictive analytics, such aTable of ContentsPreface xi Acknowledgments xiii 1 Introduction 1 1.1 General 1 1.2 Track Components 2 1.3 Characteristics of Railway Track Data 4 1.4 Railway Track Engineering Problems 6 1.5 Wheel–Rail Interface Data 11 1.6 Geometry Data 15 1.7 Track Geometry DegradationModels 20 1.8 Rail Defect Data 25 1.9 Inspection and Detection Systems 33 1.10 Rail Grinding 37 1.11 Traditional Data Analysis Techniques 40 1.12 Remarks 41 References 42 2 Data Analysis – Basic Overview 49 2.1 Introduction 49 2.2 Exploratory Data Analysis (EDA) 49 2.3 Symbolic Data Analysis 53 2.4 Imputation 54 2.5 Bayesian Methods and Big Data Analysis 56 2.6 Remarks 57 References 57 3 Machine Learning: A Basic Overview 59 3.1 Introduction 59 3.2 Supervised Learning 60 3.3 Unsupervised Learning 61 3.4 Semi-Supervised Learning 61 3.5 Reinforcement Learning 61 3.6 Data Integration 63 3.7 Data Science Ontology 63 3.8 Imbalanced Classification 69 3.9 Model Validation 70 3.10 Ensemble Methods 71 3.11 Big P and Small N (P â N) 74 3.12 Deep Learning 79 3.13 Data Stream Processing 95 3.14 Remarks 105 References 105 4 Basic Foundations of Big Data 113 4.1 Introduction 113 4.2 Query 116 4.3 Taxonomy of Big Data Analytics in Railway Track Engineering 123 4.4 Data Engineering 124 4.5 Remarks 130 References 130 5 Hilbert–Huang Transform, Profile, Signal, and Image Analysis 133 5.1 Hilbert–Huang Transform 133 5.2 Axle Box Acceleration 150 5.3 Analysis 151 5.4 Remarks 153 References 153 6 Tensors – Big Data in Multidimensional Settings 157 6.1 Introduction 157 6.2 Notations and Definitions 158 6.3 Tensor Decomposition Models 161 6.4 Application 164 6.5 Remarks 170 References 171 7 Copula Models 175 7.1 Introduction 175 7.2 Pair Copula: Vines 184 7.3 Computational Example 186 7.4 Remarks 192 References 193 8 Topological Data Analysis 197 8.1 Introduction 197 8.2 Basic Ideas 197 8.3 A Simple Railway Track Engineering Application 203 8.4 Remarks 204 References 204 9 Bayesian Analysis 207 9.1 Introduction 207 9.2 Markov Chain Monte Carlo (MCMC) 210 9.3 Approximate Bayesian Computation 210 9.4 Markov Chain Monte Carlo Application 216 9.5 ABC Application 219 9.6 Remarks 221 References 222 10 Basic Bayesian Nonparametrics 225 10.1 General 225 10.2 Dirichlet Family 226 10.3 Dirichlet Process 227 10.4 Finite Mixture Modeling 231 10.5 Bayesian Nonparametric Railway Track 232 10.6 Remarks 233 References 233 11 Basic Metaheuristics 235 11.1 Introduction 235 11.2 Remarks 237 References 239 12 Differential Privacy 241 12.1 General 241 12.2 Differential Privacy 242 12.3 Remarks 247 References 247 Index 249

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Book SynopsisLearn about the successesof Black entrepreneurs through a collection of unique case studies Successful Black Entrepreneursisan insightful collection ofHarvard Business Schoolcase studiesaboutBlack entrepreneurs succeeding in a variety of industries andthrough different routes, including start-ups, franchising, and acquisitions. The book also recognizes and celebrates Black entrepreneurial excellence, as it takes the reader through the stages of entrepreneurship, including ideation, raising capital, growing the company, and taking it public. In addition to identifying the positive aspects of Black entrepreneurship, the book also uses data, research, and anecdotes to highlight the challenges faced by Black entrepreneurs, including: An inability to access capital from traditional financial institutions like banks and private equity firmsThe requirement to practice racial concealment in the company ofWhite customers in order to achieve success Perfect for students, aspiring entrepreneurs, and established business leaders,Successful Black Entrepreneursprovidespracticalperspectivesfrom Black entrepreneurs about what it takes to succeed in business.Table of ContentsPreface vii Introduction xi Chapter 1 History of Black Entrepreneurship 1 Chapter 2 Importance of Black Entrepreneurs 37 Chapter 3 Black Start-Up Entrepreneurs 43 Chapter 4 Entrepreneurship Through Acquisitions 75 Chapter 5 Entrepreneurship Through Franchising 125 Chapter 6 Access to Capital for Black Entrepreneurs 157 Chapter 7 Black Turnaround Entrepreneurs 203 Chapter 8 Entrepreneurial Exits: Selling the Company 235 Chapter 9 Black Intrapreneurs 285 Epilogue 311 Appendix 313 Acknowledgments 317 About the Author 321 Index 323

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Book SynopsisHow to lead the digital transformation of governments Digital Government Excellence: Lessonsfrom Effective Digital Leadersdelivers a fascinating treatment of digital leadership as governments around the world start or restart the digital transformation of their work and service delivery. The author provides a playbook on how to achieve digital excellence via interviews with 20 remarkable digital government leaders from around the world. Each one offers insights on strategies for how to incorporate the best of digital into public services and practical tips on leading digital reforms and delivery teams. The book also: Explores how to begin the task of making all of government to go digital or go deeper and bolder in this direction, including the first steps and beyondHighlights leadership styles and practices for effective and lasting delivery of digital strategies and reformsProvides food for thought about whatit takes to be an impactful digital transformation leader in government and beyond The book is ideal for Chief Digital/Information/Technology Officers or digital agency leaders in public service. Digital Government Excellence is also an indispensable resource for any practitioner, policymaker or political leader in governments at any level, as well as any student or advisor of governments looking intohow to deliver digital transformation in the public sector.Table of ContentsPreface ix Acknowledgments xi List of Abbreviations xiii Introduction xv 1. Aisha Bin Bishr, Dubai, United Arab Emirates (UAE) 1 2. Alex Benay, Canada 15 3. Anna-Maija Karjalainen, Finland 31 4. Barry Lowry, Ireland 45 5. Bolor-Erdene Battsengel, Mongolia 59 6. Cheow Hoe Chan, Singapore 71 7. Daniel Abadie, Argentina 83 8. Diego Piacentini, Italy 97 9. Hillary Hartley, Ontario, Canada 109 10. Innocent Bagamba Muhizi, Rwanda 123 11. José Clastornik, Uruguay 135 12. Lars Frelle-Petersen, Denmark 147 13. Luis Felipe Monteiro, Brazil 159 14. Mike Bracken, United Kingdom 173 15. Pedro Silva Dias, Portugal 189 16. Randall Brugeaud, Australia 203 17. Shai-Lee Spiegelman, Israel 219 18. Taavi Kotka, Estonia 233 19. Tim Occleshaw, New Zealand 245 20. Yolanda Martínez, Mexico 261 Epilogue: How to Lead a Government to Digital Excellence 279 About the Author 287 Index 289

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Book SynopsisQuantitative Finance with R offers a winning strategy for devising expertly-crafted and workable trading models using the R open source programming language, providing readers with a step-by-step approach to understanding complex quantitative finance problems and building functional computer code.Trade Review"Through the lens of an expert practitioner, Harry provides a treatise on how to develop a robust quantitative trading strategy using 'R'. This is the first book written that has covered the ability of 'R' software to provide the infrastructure for an algorithmic trading system. Harry has written an instant classic that the professional and novice will find inherently useful. There is an inordinate amount of working 'R' code that the reader can deploy instantly or lever to develop more exotic functions and scripts. With this book, there is no need for expensive software development or a MATLAB license. Download the R software and you can begin building profitable strategies immediately. Harry has spawned an entire new generation of hedge fund managers with this seminal work." - Ed Zarek, Quantitative Options Trader, Chicago Volatility Group "This is a superb text for aspiring quantitative traders. Financial math and computing concepts are introduced and developed simultaneously. The text guides readers through a set of R programming exercises that culminate in several data-based trading strategies. The conversational writing style and practitioner perspective will resonate with many readers." - Steven Todd, Associate Dean for Faculty and Research, Former Finance Department Chairperson, and Associate Professor Finance, Quinlan School of Business, Loyola University Chicago "Quantitative Trading with R translates complicated topics into straightforward concepts. I'm using it as a reference and Belvedere has already incorporated some of the material into our classes." - Thomas Hutchinson, Managing Partner, Belvedere Trading, LLCTable of Contents1 An Overview 2 Tools of the Trade 3 Working with Data 4 Basic Statistics and Probability 5 Intermediate Statistics and Probability 6 Spreads, Betas and Risk 7 Backtesting with Quantstrat 8 High-Frequency Data 9 Options 10 Optimization

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Book SynopsisThe book will appeal to anyone trying to make sense of contemporary higher education.Trade ReviewAs a collection, Academic Capitalism in the Age of Globalization presents ways that universities have become more entrepreneurial, more interdisciplinary, more competitive, and more marketable as postsecondary institutions and labor markets have become progressively globalized. Canadian Journal of Higher Education oTable of ContentsForewordAcknowledgmentsPart I: Academic Capitalism Revisited Chapter 1. Academic Capitalism in Theory and Research Chapter 2. Retheorizing Academic Capitalism: Actors, Mechanisms, Fields, and Networks Chapter 3. University Revolutions and Academic Capitalism: A Historical Perspective Chapter 4. Exploring the Academic Capitalist Time Regime Chapter 5. Learning to Litigate: University Patents in the Knowledge Economy Chapter 6. Academic Capitalism and Practical Activity: Extending the Research ProgramChapter 7. Extending Academic Capitalism by Foregrounding Academic LaborPart II: Academic Capitalism and Globalization Chapter 8. The Global Enterprise of Higher Education Chapter 9. Transnationalization of Academic Capitalism through Global Production Networks Chapter 10. How to Explain Academic Capitalism: A Mechanism-Based Approach Chapter 11. Peripheral Knowledge-Driven Economies: What Does Academic Capitalism Have to Say? Chapter 12. Academic Capitalism in Greater China: Theme and Variations Chapter 13. Risky Business: Academic Capitalism, Globalization, and the Risk UniversityChapter 14. Developing a Conceptual Model to Study the International Student Market List of Contributors Index

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Book SynopsisOrganizational ethics involves the institutionalized principles, guidelines, and norms that influence how a company and its employees function in an ethical manner. Ultimately, these processes collectively influence a firm's 1) overall sense of business ethics, 2) management of employees, and 3) interactions with partners outside of the immediate work environment. Researcher and practitioners are interested in organizational ethics because the different approaches used to develop such a context generate many other positive business outcomes.While the connection between organizational ethics and employee/stakeholder well-being has been explored, moving forward with a number of new investigations should push the literature forward. This book seeks to explore these important topics and present a more comprehensive overview of organizational ethics and stakeholder well-being in the business environment. Such inquiry is important because the linkages between business ethics and stakeholders, if well-managed, have the capacity to benefit both companies and employees. In addition, the content of this book should serve to guide future investigations within this area of business ethics.

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Book SynopsisOrganizational ethics involves the institutionalized principles, guidelines, and norms that influence how a company and its employees function in an ethical manner. Ultimately, these processes collectively influence a firm's 1) overall sense of business ethics, 2) management of employees, and 3) interactions with partners outside of the immediate work environment. Researcher and practitioners are interested in organizational ethics because the different approaches used to develop such a context generate many other positive business outcomes.While the connection between organizational ethics and employee/stakeholder well-being has been explored, moving forward with a number of new investigations should push the literature forward. This book seeks to explore these important topics and present a more comprehensive overview of organizational ethics and stakeholder well-being in the business environment. Such inquiry is important because the linkages between business ethics and stakeholders, if well-managed, have the capacity to benefit both companies and employees. In addition, the content of this book should serve to guide future investigations within this area of business ethics.

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Book SynopsisIs the invention of accounting so useful that, as Charlie Munger once said, “you have to know accounting. It's the language of practical business life. It was a very useful thing to deliver to civilization. I've heard it came to civilization through Venice which of course was once the great commercial power in the Mediterranean”? (WOO 2013)This positive view on accounting can be contrasted with an opposing view by Paul Browne that “the recent [accounting] scandals have brought a new level of attention to the accounting profession as gatekeepers and custodians of social interest.” (DUM 2013)Contrary to these opposing views (and other ones as will be discussed in the book), accounting (in relation to addition and subtraction) are neither possible (or impossible) nor desirable (or undesirable) to the extent that the respective ideologues (on different sides) would like us to believe.Of course, this reexamination of different opposing views on accounting does not mean that the study of addition and subtraction is useless, or that those fields (related to accounting)—like bookkeeping, auditing, forensics, info management, finance, philosophy of accounting, accounting ethics, lean accounting, mental accounting, environmental audit, creative accounting, carbon accounting, social accounting, and so on—are unimportant. (WK 2013) In fact, neither of these extreme views is plausible.Rather, this book offers an alternative (better) way to understand the future of accounting in regard to the dialectic relationship between addition and subtraction—while learning from different approaches in the literature but without favoring any one of them (nor integrating them, since they are not necessarily compatible with each other). More specifically, this book offers a new theory (that is, the double-sided theory of accounting) to go beyond the existing approaches in a novel way and is organized in four chapters.This seminal project will fundamentally change the way that we think about accounting in relation to addition and subtraction from the combined perspectives of the mind, nature, society, and culture, with enormous implications for the human future and what I originally called its “post-human” fate.

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Book SynopsisIs the invention of accounting so useful that, as Charlie Munger once said, “you have to know accounting. It's the language of practical business life. It was a very useful thing to deliver to civilization. I've heard it came to civilization through Venice which of course was once the great commercial power in the Mediterranean”? (WOO 2013)This positive view on accounting can be contrasted with an opposing view by Paul Browne that “the recent [accounting] scandals have brought a new level of attention to the accounting profession as gatekeepers and custodians of social interest.” (DUM 2013)Contrary to these opposing views (and other ones as will be discussed in the book), accounting (in relation to addition and subtraction) are neither possible (or impossible) nor desirable (or undesirable) to the extent that the respective ideologues (on different sides) would like us to believe.Of course, this reexamination of different opposing views on accounting does not mean that the study of addition and subtraction is useless, or that those fields (related to accounting)—like bookkeeping, auditing, forensics, info management, finance, philosophy of accounting, accounting ethics, lean accounting, mental accounting, environmental audit, creative accounting, carbon accounting, social accounting, and so on—are unimportant. (WK 2013) In fact, neither of these extreme views is plausible.Rather, this book offers an alternative (better) way to understand the future of accounting in regard to the dialectic relationship between addition and subtraction—while learning from different approaches in the literature but without favoring any one of them (nor integrating them, since they are not necessarily compatible with each other). More specifically, this book offers a new theory (that is, the double-sided theory of accounting) to go beyond the existing approaches in a novel way and is organized in four chapters.This seminal project will fundamentally change the way that we think about accounting in relation to addition and subtraction from the combined perspectives of the mind, nature, society, and culture, with enormous implications for the human future and what I originally called its “post-human” fate.

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Book SynopsisData Analytics and Data-based Decision-making are hot topics now. Big Data has entered the common parlance. Many kinds of data are generated by business, social media, machines, and more. Organizations have a choice: they can be buried under the avalanche of data, or they can do something with it to increase competitive advantage. A new field of Data Science is born, and Data Scientist has been called the sexiest job of the decade. Students across a variety of academic departments, including business, computer science, statistics, and engineering are attracted to the idea of discovering new insights and ideas from data. This is a proposal for a short and lucid book on this whole area. It is designed to provide a student with the intuition behind this evolving area, along with a solid toolset of the major data mining techniques and platforms, all within a single semester- or quarter-long course.

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Book SynopsisThis book addresses project management in the context of information systems. It deals with general project management principles, with focus on the special characteristics of information systems. It is based on an earlier text , but shortened to focus on essential project management elements. This chapter has presented various statistics indicating endemic problems in completing information system projects on time, within budget, at designed functionality. While successful completion of an information systems project is a challenge, there are some things that can be done to improve the probability of project success. This book reviews a number of project management tools. These include developing organizational ability to work on projects, discussed in Chapters 2 and 3. Sponsor expectations can be based upon better information if a good job of project selection is conducted, discussed in Chapter 4. Better systems analysis and design (Chapter 5) and project estimation (covered in Chapter 6) can assure that the proper skills are acquired to develop the project. Project management tools (Chapter 7) can assist project managers in coordinating the project effort, as can project management software such as Microsoft Project. Chapter 8 will return to the importance of critical success factors in the context of project implementation. Chapter 9 will discuss project control and termination.

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Book SynopsisThe data-driven, global business environment requires increasingly sophisticated decision support, analytics and business intelligence. Also, changing technologies including mobile devices and cloud computing have created new opportunities for computerized decision support and an increasing need for technology support of business decision making. Contemporary managers must know much more about information technology solutions and especially computerized decision support, data science and analytics. This book is targeted to busy managers and MBA students who want to grasp the basics of computerized decision support. Some of the topics covered include: What is a decision support system? What is “big data” and how is it useful? What is business intelligence? How can predictive analytics support decision making? What is the impact of decision support on decision making? And how can managers identify opportunities for innovative analytics and decision support? Overall the book addresses 70 major questions relevant to decision support.

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Book SynopsisDigital disruption is accelerating. Implementing a successful digital transformation strategy requires that senior managers make trade-off decisions to reinvent a business. Equally important all decision makers must learn to ask the right questions, use data and computer support in decision making, and increase their knowledge and skills. Creating a data-centric culture and rewarding data-based decision making leads to successful digital transformation. Join the digital journey.This book is targeted at managers, especially middle-level managers who are trying to come to grips with using data-based decision making in a transforming organization. The authors explore a number of broad questions including: How can managers become data-based decision makers? How can digital transformation become part of an organizational strategy? What new skills do managers need to implement digital transformation? How will we know an organization has been successfully transformed?

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Book SynopsisDigital disruption and transformation of industries and organizations has created a need for more agile attitudes, behaviors, and culture. Becoming more agile is important for individuals, teams, and organizations for three major reasons: 1) the requirements for faster, more responsive execution requires a reduction in bureaucratic processes, 2) changing technology environments reward more customer-focused processes, and 3) rapid internal collaboration and communication that is coordinated using technology is both possible and a requirement.One way to explain Agile is with a ""dance"" metaphor. Traditional processes are often a slow bureaucratic dance, like a classic waltz. Slow dancing is an important skill to know, but most of us would not want to do that dance all of the time. Today individuals, teams and organizations should perform and practice a wide variety of dances in appropriate contexts to be successful. Agile processes have various rhythms, rituals, and styles. We all need to learn new dances and we need to dance faster much of the time. Also, we need to be able to change dances in an elegant and seamless way. Despite the heightened interest, many people misunderstand or fail to understand becoming agile and applying agile methods and principles. For what types of projects should we use an Agile process? When is a structured development life cycle approach more appropriate? Some agile project approaches are appropriate for many types of projects and a mix of agile approaches coupled with some traditional approaches can make organizations more agile. Some managers and organizations strive for a contingent or a hybrid approach - a mix of agile and more traditional processes. This book is aimed at students, IT practitioners, and managers who seek answers to these questions and want to better understand agile.

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Book SynopsisEnterprise Systems have been used for many years to integrate technology with the management of an organization but rapid technological disruptions are now creating new challenges and opportunities that require urgent consideration. This book reappraises the implementation and management of Enterprise Systems in the digital age and investigates the vital link between business processes, information technology and the Internet for an organization’s competitive advantage and success.This book primarily focuses on the implementation, operation, management and integration of Enterprise Systems with fastemerging disruptive technologies such as blockchains, big data, cryptocurrencies, artificial intelligence, cloud computing, data mining and data analytics. These disruptive technologies are now becoming mainstream and the book proposes several innovations that organizations need to adopt to remain competitive within this rapidly changing landscape. In addition, it examines Enterprise Systems, their components, architecture, and applications and enlightens readers on the benefits and shortcomings of implementing them. This book contains primary research on organizations, case studies, and benchmarks ERP implementation against international best practice.

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Book SynopsisEnterprise Systems have been used for many years to integrate technology with the management of an organization but rapid technological disruptions are now creating new challenges and opportunities that require urgent consideration. This book reappraises the implementation and management of Enterprise Systems in the digital age and investigates the vital link between business processes, information technology and the Internet for an organization’s competitive advantage and success.This book primarily focuses on the implementation, operation, management and integration of Enterprise Systems with fastemerging disruptive technologies such as blockchains, big data, cryptocurrencies, artificial intelligence, cloud computing, data mining and data analytics. These disruptive technologies are now becoming mainstream and the book proposes several innovations that organizations need to adopt to remain competitive within this rapidly changing landscape. In addition, it examines Enterprise Systems, their components, architecture, and applications and enlightens readers on the benefits and shortcomings of implementing them. This book contains primary research on organizations, case studies, and benchmarks ERP implementation against international best practice.

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Book SynopsisOpen innovation is about firms' external relations with other firms and organizations. It is a topic which has attracted an immense amount of attention, but which has also been heavily criticized due to the diversity of the ideas and fuzziness of its key concepts. To date, the bulk of the literature on open innovation draws on case study material to illustrate the operation of firms in an anecdotal way. By contrast, this book examines open innovation practices by using large-scale data sets and stresses their impact on firm performance. The authors examine four key issues: differences between firms in open innovation practices, public funding to enhance external relations, R&D outsourcing of firms, and the role of human resources in R&D and innovation. The conceptual and measurement issues attached to open innovation explored in this timely book will prove essential to academics. Practitioners from large firms who are closely engaged in the practical organization of open innovation will benefit from the authors insights on outsourcing R&D and the need for the right kinds of human resources.Trade ReviewResearch and open innovation has been developed exponentially in the last five years, but strong empirical evidence on several research questions is still lacking. The authors offer via detailed large scale empirical research, interesting answers on how to manage open innovation and how to shape policy conditions that lead to more open innovation. --- Wim Vanhaverbeke, University of Hasselt, BelgiumTable of ContentsContents: Foreword Introduction Part I: Firms React Differently when Managing Open Innovation 1. Open Innovation and the Relation between Innovative Activities and Firm Performance 2. Firm-level Effects of Incoming Knowledge Spillovers, Research Collaboration and Strategic Appropriability 3. A Comparative Analysis of Open Innovation and the Relation between Research Intensity and Product Innovativeness Part II: Open Innovation and Public Funding Practices 4. Public Intervention and Innovative Networking: Firm-level Evidence on the Opening-up of the Innovation Process 5. Public Funding for Innovation and Research Cooperation 6. The Impact of Public Funding for Research on Private–Public Research Cooperation Part III: A Closer Look at Open Innovation: R&D Outsourcing 7. The Impact of Internal R&D, Strategic Appropriability and Cooperation on R&D Outsourcing 8. Managing R&D Outsourcing and the Impact on Firms’ R&D Employment Part IV: The Role of Human Resources in Open Innovation Practices 9. The Impact of Occupation and Education of R&D Personnel on Knowledge Exchange 10. Research Experts’ Role in Knowledge Development and Exchange in Formal Research Cooperation General Conclusions References Index

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Book SynopsisThis timely Handbook establishes the 'contextualization' of the learning organization idea as a research field.In contrast to much of the previous literature, which has approached the learning organization as a panacea that every organization could and should adopt, this major new Handbook puts the learning organization into context. It examines the relevance of the learning organization idea to organizations in various specific contexts, employing examples from a wide variety of cultures including China and Islamic nations, and from industries as diverse as the police force, care services for the elderly and family firms.Scholars and students with an interest in organizational learning will find this important Handbook enriching. Human resource practitioners will also find plenty of invaluable information in this resource.Contributors: C. Abrahamson Löfström, A. Ahmad, M. Babur, Y. Baruch, N. Birdthistle, D.A. Blackman, C. Blantern, P. Bogolyubov, T. Boydell, H.T.M. Bui, J. Burgoyne, X. Cong, D.J. Delgado-Hernández, M. Drobnjak, M. Easterby-Smith, Z. Fan, C. Filstad, T.N. Garavan, P. Gottschalk, J.F.L. Hong, S.-w. Hsu, D. Jamali, B. Li, Z. Li, M. Lin, C. Lloyd, D. McDowall, A. Örtenblad, C. Peng, Y. Sidani, R.S. Snell, C. Stothard, S. Talbot, M. Torokoff-Engelbrecht, K.E. Watkins, D. Weir, J. ZhouTrade ReviewÖrtenblad offers a contingency framework differentiating the idea of the learning organization as portrayed in research and practice to shed light on context as key to the idea's relevance. The contingency framework anchors chapter authors' interrogation into adaptation of enduring, underlying principles by divergent context - in industry, sector, national culture, religious orientation, and philosophical underpinnings. Readers will value analysis and synthesis of what is known from research as well as informed probing of what could be learned through the lens of provocative viewpoints. Scholars will appreciate Örtenblad's assessment of extant research and arguments made for ''researcher-assisted adaptation'' to balance rigid prescriptions with informed guidance in navigating contextual differences when deciding to enact the learning organization. --Victoria J. Marsick, Columbia UniversityThe handbook is a very well researched and excellent tool for anyone interested in the concept of learning, and particularly in the global organizational context. I highly recommend this book to managers of companies both large and small wanting to compete in the global landscape by highlighting the important learning that occurs in their organizations. --Vanessa Ratten, Thunderbird International Business ReviewTable of ContentsContents: Preface Anders Örtenblad PART I: INTRODUCTION AND BACKGROUND 1. Introduction: Putting the Learning Organization into Context: An Emerging Research Field Anders Örtenblad 2. What do we Mean by ‘Learning Organization’? Anders Örtenblad 3. Putting the Learning Organization into Context: Contributions from Previous Works Anders Örtenblad, Ziyun Fan, Chenghao Peng, Boying Li, Ziyan Li, Xiaoying Cong and Jie Zhou 4. Contextualizing the Learning Organization: Approaches to Research Design Anders Örtenblad 5. Obstacles to the Learning Organization David Weir and Anders Örtenblad PART II: THE LEARNING ORGANIZATION IN CONTEXT Section A. Culture and Religion 6. National Culture and the Learning Organization: An Integrative Framework Pavel Bogolyubov and Mark Easterby-Smith 7. Developing Learning Organizations in China Jacky F.L. Hong, Robin Stanley Snell and Mian Lin 8. Learning Organization Practices in Mexico: An Empirical Study David Joaquín Delgado-Hernández and Made Torokoff-Engelbrecht 9. Islamic Perspective of the Learning Organization Aini Ahmad Section B. Industries and Sectors 10. Learning, Trust and Change within the Australian Army: The Development of the Army Learning Organization Questionnaire (ALOQ) Maya Drobnjak, Christina Stothard, Steven Talbot, Karen E. Watkins and Denise McDowall 11. The Police Force: To be or not to be a Learning Organization? Cathrine Filstad and Petter Gottschalk 12. The Learning Organization in Elderly Care – Can it Fit? Carina Abrahamson Löfström 13. Family Firms as Learning Organizations Naomi Birdthistle and Thomas N. Garavan 14. Universities as Learning Organizations: Internationalization and Innovation Hong T.M. Bui and Yehuda Baruch Section C. Mixed Contexts 15. Public Sector Organizations as Learning Organizations: Insights from the Education System in Pakistan Muhammad Babur 16. The Learning Organization: Opportunities and Challenges for Small and Medium-sized Enterprises in Developing Countries Dima Jamali, Yusuf Sidani and Charissa Lloyd PART III: REFLECTIONS ON THE LEARNING ORGANIZATION 17. The Universality of Learning Company Principles: A Critical Realist Approach John Burgoyne 18. Who is the Learning Organization For? A Stakeholder Contingency Approach to Contextualizing Managerial Panaceas Anders Örtenblad 19. ‘The Learning Organization’ – Drop the Dead Metaphor! Performing Organizing and Learning in Networks (So to Speak) Chris Blantern, Tom Boydell and John Burgoyne 20. Alternative Learning Organization Shih-wei Hsu 21. Contextualising the Learning Organization: How will it Help us Learn in the Future? Deborah Ann Blackman 22. Towards a Contingency Model: Recommendations for Further Research Anders Örtenblad Index

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Book SynopsisHow Entrepreneurs Do What They Do presents 13 case studies of knowledge intensive entrepreneurship. The book focuses on 'doing', in essence, what happens when entrepreneurs are engaging practically in venture creation processes.Case studies can be used as a key element in learning and understanding what really occurs, as well as for illustrating theoretical points. This insightful book provides a series of in-depth case studies of knowledge intensive entrepreneurship from different industries to elucidate relevant phenomena and topics. They focus upon the venture creation process, involving close interactions between the individual, the company, and the external eco-system and environment. The cases primarily provide a managerial perspective on the process, from the sources of ideas, through opportunities and strategies, to outcomes and interactions with external networks.This enriching book will be relevant to academics and practitioners, as well as advanced students. The suggestions for further reflections can be used as inspiration for class discussions, Master thesis projects, academic research projects or stimulating successful entrepreneurship.Contributors: A.-S. Axelsson, R. Bekkers, L. Bordoli, J. Brink, O. Broberg, M.M. Godinho, J. Laage-Hellman, A.H. Lassen, D. Ljungberg, R. Mamede, M. McKelvey, C.R. Østergaard, E. Park, A. Rosa, G. Sjöblom, D. Slepniov, S. Szücs, B. Timmermans, B.V. Waehrens, O. Zaring, Y. ZhuTrade ReviewGiven the opportunity to teach a graduate course in entrepreneurship, I would give this book and its companion volume serious consideration in order to provide students with a well-articulated theoretical framework and a multitude of carefully described examples to illustrate and test the ideas of KIE theory. --Michael Beyerlein, Science and Public PolicyTable of ContentsContents: Preface 1. Introduction Maureen McKelvey and Astrid Heidemann Lassen PART I: TRANSVERSAL TECHNOLOGIES, ENGINEERING AND SOFTWARE 2. How Tensions between Exploration and Exploitation Drive the Development Process of KIE: The Case of Sensor Inc. Astrid Heidemann Lassen 3. Collaborative Strategies: How and Why Academic Spin-offs Interact with Engineering University Centers Maureen McKelvey, Daniel Ljungberg, Olof Zaring, Jens Laage-Hellman and Stefan Szücs 4. Interaction as a Strategy in Knowledge Intensive Entrepreneurship: The Case of an ERP Software Company Olof Zaring 5. Managing International Expansion in a KIE Venture: Going Global in Alpha Composites Dmitrij Slepniov and Brian Vejrum Waehrens 6. The Nexus between Technology, Organizational and Market Development: The Case of NanoSpace Inc. Astrid Heidemann Lassen PART II: LIFESTYLE TECHNOLOGIES 7. Knowledge Intensive Entrepreneurship from Firm Exit in a High-tech Cluster: The Case of the Wireless Communications Cluster in Aalborg, Denmark Christian Richter Østergaard and Eunkyung Park 8. Entrepreneurial Exploitation of Creative Destruction and the Ambiguity of Knowledge in the Emerging Field of Digital Advertising Oskar Broberg, Ann-Sofie Axelsson and Gustav Sjöblom 9. Knowledge Reallocation and Challenges for KIE: The Case of the European Roller Coaster Industry Bram Timmermans, Rudi Bekkers and Luca Bordoli PART III: HUMAN HEALTH CARE AND FOOD 10. How Cross-fertilization of High-tech and Low-tech Sectors Creates Innovative Opportunities: The Case of the Wearable Electrocardiogram Alexandra Rosa, Ricardo Mamede and Manuel Mira Godinho 11. Building Collaborative Network Relationships: The Case of a Corporate Spin-off in the Medical Technology Industry Jens Laage-Hellman 12. Collaborative Research in Innovative Food: An Example of Renewing a Traditional Low-tech Industry Maureen McKelvey, Daniel Ljungberg and Jens Laage-Hellman 13. Financing and Privatizing a Visionary Research Endeavour in Proteonomics: The Case of ProSci in Australia Johan Brink and Maureen McKelvey 14. Business Models in Big Data in China: Designing New Opportunities through Sequencing and Bioinformatics Yanmei Zhu and Maureen McKelvey 15. Further Developing the Ideas Maureen McKelvey and Astrid Heidemann Lassen Index

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Book SynopsisThis original and exciting work differs from existing books on entrepreneurship by focusing specifically on the relationship between knowledge and entrepreneurship.The book uniquely combines an academic review of theoretical and empirical contributions with an analysis of the practical implications for engaging in and learning about venture creation. The authors concentrate on specific types of firms reliant upon advanced knowledge and show how a systemic perspective of entrepreneurship is required, involving design thinking, in order to capture the relationships between individual, venture and eco-system.Managing Knowledge Intensive Entrepreneurship will be insightful for academics and practitioners, as well as advanced students on entrepreneurship courses.Contents: Preface 1. Introduction 2. The KIE Creation Model 3. Accessing Resources and Ideas 4. Managing and Developing the Knowledge Intensive Entrepreneurship Venture 5. Evaluating Performance and Outputs 6. Design Thinking as a Tool for Entrepreneurship 7. Societal Impacts of Knowledge Intensive Entrepreneurship and the Role of Public Policy Appendix References IndexTable of ContentsContents: Preface 1. Introduction 2. The KIE Creation Model 3. Accessing Resources and Ideas 4. Managing and Developing the Knowledge Intensive Entrepreneurship Venture 5. Evaluating Performance and Outputs 6. Design Thinking as a Tool for Entrepreneurship 7. Societal Impacts of Knowledge Intensive Entrepreneurship and the Role of Public Policy Appendix References Index

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Book SynopsisIncreasingly, researchers and policymakers alike recognize that innovations are generated by complex and dynamic national ecosystems that include government, industry, universities and schools. Because these systems differ by country and are strongly influenced by culture, effective policy and research strategies require a systems approach, in which policy consensus is built on a clear understanding of how each nation's innovation ecosystem functions.This book outlines a unique methodology for constructing visual maps of national innovation ecosystems. The authors provide completed maps for six countries (Israel, Poland, Germany, France, Spain and Singapore), and two regions (Greater Toronto and ZhiangJiang Technology Park in Shanghai), along with detailed breakdowns of the policy implications emerging from each. These in-depth examples and a clear methodological approach offer a comprehensive guide for constructing visual portrayals of innovation systems and demonstrate why this is a vital exercise.Scholars and students of innovation and management will find this book an invaluable resource, as will innovation policymakers across the world.Contents: 1. Towards national innovation system 2. Method for mapping innovation ecosystems 3. The Israeli national innovation ecosystem 4. The Polish national innovation ecosystem 5. The German national innovation ecosystem 6. The French national innovation ecosystem 7. The Spanish national innovation ecosystem 8. The health industry innovation ecosystem in the of Ontario, Canada 9. The innovation ecosystem in Shanghai, China 10. The Singaporian national innovation ecosystem 11. Conclusion: A Comparison of national & regional innovation ecosystems Epilog: Systems mindset as foundations for policy References IndexTrade Review'Frenkel and Maital provide a ground-breaking deeply-delving study of innovation systems, offering guidance for decision-making practitioners that links theory with case-based learning opportunities.' --Michael Radnor, Chairman and co-founder, Global Advanced Technology Innovation Consortium (GATIC)'A must read for national policy makers, this book highlights the role of innovation in overall economic wellbeing and the importance of a system-based approach to designing national innovation policies' --Brendan Cahill, Partner, BearingPoint'Every national innovation ecosystem is based on the country's history, culture, people and environment. This book is essential reading for policy-makers in any region or nation, especially for nations such as China, in the process of developing an innovation-based economy.' --Gu Peihua, Provost, Shantou University, ChinaTable of ContentsContents: 1. Towards national innovation system 2. Method for mapping innovation ecosystems 3. The Israeli national innovation ecosystem 4. The Polish national innovation ecosystem 5. The German national innovation ecosystem 6. The French national innovation ecosystem 7. The Spanish national innovation ecosystem 8. The health industry innovation ecosystem in the of Ontario, Canada 9. The innovation ecosystem in Shanghai, China 10. The Singaporian national innovation ecosystem 11. Conclusion: A Comparison of national & regional innovation ecosystems Epilog: Systems mindset as foundations for policy References Index

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Book SynopsisThis Companion provides a comprehensive, state-of-the-art overview and critical evaluation of existing conceptualizations and new developments in innovation research. Arguing that innovation research requires inter- and trans-disciplinary explanations and methodological pluralism at various levels, it draws on multiple perspectives of innovation, knowledge and creativity from economics, geography, history, management, political science and sociology. The Companion provides the definitive guide to the field and introduces new approaches, perspectives and developments.The Companion systematically analyzes the challenges, problems and gaps in innovation research. Leading scholars reflect upon and critically assess the fundamental topics of the field, including: innovation as a concept innovation and institutions innovation and creativity innovation, networking and communities innovation in permanent spatial settings innovation in temporary and virtual settings innovation, entrepreneurship and market making innovation governance and management. Innovation researchers and students in economics, economic geography, industrial sociology, innovation studies, international business, management and political science will find the Companion to be an essential resource. It will also appeal to practitioners in innovation and policy makers in economic development, public policy and innovation policy.Contributors include: H. Bathelt, N. Bradford, T. Burger-Helmchen, M. Callon, U. Cantner, P. Cohendet, D.H. Cropley, L. D'Adderio, P. Desrochers, U. Dewald, G. Dosi, D. Dougherty, J.Y. Douglas, J.R. Faulconbridge, M.P. Feldman, M. Ferrary, D. Foray, N. Geilinger, E. Giuliani, J. Glückler, B. Godin, F. Golfetto, G. Grabher, M. Granovetter, S. Haefliger, I. Hamdan-Livramento, A.B. Hargadon, A. Hatchuel, S. Henn, J.-A. Heraud, A.J. Herod, C. Hussler, O. Ibert, A. Lagendijk, P. Le Masson, S. Leppälä, D. Leslie, S. Lhuillery, P. Li, N. Lowe, B.-Å. Lundvall, E.J. Maelecki, L. Marengo, S. McGrath-Champ, J. Merkel, S. Ogawa, F. Pachidou, G. Parmentier, J. Penin, G. Pickren, A.C. Pratt, J. Raffo, A. Rainnie, A. Rallet, N.M. Rantisi, D. Rinallo, J. Roberts, R.G. Shearmur, L. Simon, B. Sinclair-Desgagné, B. Spigel, J. Szurmak, A. Torre, B. Truffer, A. Van Assche, W. Vanhaverbeke, S. Vannuccini, C. Vellera, E. Vernette, G. von Krogh, B. Weil, D.A. WolfeTrade Review'This very wide-ranging selection of chapters reflects a much broader outlook than most other Innovation research collections. It is not wedded to any school or discipline, yet it draws on relevant ideas from virtually all of them. It is an ideal companion for a reader interested in the various new perspectives on innovation that have emerged recently and how these are connected to established themes, or the reader interested in developing a more interdisciplinary appreciation of the subject area.' --John Cantwell, Rutgers University, US'This is an innovative book on innovation. It innovates through the organisation of the subject achieved by the four editors. It digs into innovation as a concept, as institutions, as creativity, channeled through temporary and permanent organisations, shaping markets and dialoguing with entrepreneurship, and as embedded in places and networks. The contributions are not just hagiographies. All have critical thinking, questioning categories and data and findings. These are reasons why this book will become the essential reference in the field.' --Michael Storper, The London School of Economics, UKTable of ContentsContents: Preface 1. Innovation and Knowledge Creation: Challenges to the Field Harald Bathelt, Patrick Cohendet, Sebastian Henn and Laurent Simon PART I. INNOVATION AS A CONCEPT 2. A Conceptual History of Innovation Benoit Godin 3. Concepts and Models of Innovation Patrick Cohendet and Laurent Simon 4. Science and Innovation Jean-Alain Héraud 5. Reverse Innovation Thierry Burger-Helmchem and Caroline Hussler 6. Broadening the Concept of Open Innovation Wim Vanhaverbeke 7. Measurement of Innovation Stephane Lhuillery, Julio Raffo and Intan Hamdan-Livramento PART II. INNOVATION AND INSTITUTIONS 8. Institutional Context and Innovation Johannes Glückler and Harald Bathelt 9. Innovation in Practice Deborah Dougherty 10. Domesticating Innovation – Designing Revolutions Yellowlees Douglas and Andrew Hargadon 11. Innovation and Lock-in Uwe Cantner and Simone Vannuccini 12. Patents and Open Innovation Julien Pénin PART III. INNOVATION AND CREATIVITY 13. Managing Knowledge, Creativity, and Innovation Patrick Cohendet, Guy Parmentier and Laurent Simon 14. Urban Diversity and Innovation Pierre Desrochers, Samuli Leppala and Joanna Szurmak 15. Innovation and the Cultural Economy Andy C. Pratt 16. Innovation and Cultural Industries Deborah Leslie and Norma M. Rantisi 17. Services and Innovation Johannes Glückler 18. Design Theories, Creativity and Innovation Pascal Le Masson, Armand Hatchuel and Benoit Weil 19. The Dark Side of Creativity David H. Cropley PART IV. INNOVATION, NETWORKING AND COMMUNITIES 20. Social Networks and Innovation Michel Ferrary and Mark Granovetter 21. Community, Creativity and Innovation Joanne Roberts 22. Industrial Clusters in Global Networks Elisa Giuliani 23. The User Innovation Phenomenon Cyrielle Vellera, Eric Vernette and Susumu Ogawa 24. Horizontal Learning Pengfei Li 25. Innovation versus Technological Achievement Dominique Foray PART V. INNOVATION IN PERMANENT SPATIAL SETTINGS 26. Geography of Innovation, Proximity and Beyond Alain Rallet and André Torre 27. Urban Bias in Innovation Studies Richard Shearmur 28. National and Regional Innovation Systems Harald Bathelt and Sebastian Henn 29. National Innovation Systems and Globalization Bengt-Åke Lundvall 30. Innovation, Regional Development and Relationality Arnoud Lagendijk PART VI. INNOVATION IN TEMPORARY AND VIRTUAL SETTINGS 31. Trade Fairs and Innovation Harald Bathelt 32. Innovation through Trade Show Concertation Francesca Golfetto and Diego Rinallo 33. Knowledge Collaboration in Hybrid Virtual Communities Gernot Grabher and Oliver Ibert 34. Performativity and the Innovation-Replication Dilemma Luciana D’Adderio 35. Coworking and Innovation Janet Merkel PART VII. INNOVATION, ENTREPRENEURSHIP AND MARKET MAKING 36. Markets, Marketization and Innovation Michel Callon 37. Market Formation and Innovation Systems Ulrich Dewald and Bernard Truffer 38. Innovation and Entrepreneurship Edward J. Malecki and Ben Spigel 39. Transnational Entrepreneurs and Global Knowledge Transfer Sebastian Henn and Harald Bathelt 40. Institutional Entrepreneurship and Innovation in Alzheimer's Disease Treatment Nina Geilinger, Stefan Haefliger, Georg von Krogh, and Fotini Pachidou PART VIII. GOVERNANCE AND MANAGEMENT OF INNOVATION 41. Relational Geographies of Knowledge and Innovation James R. Faulconbridge 42. Innovation, Governance and Place Maryann Feldman and Nichola Lowe 43. The Dynamics of Organizational Structures and Performances Giovanni Dosi and Luigi Marengo 44. Learning through Governance Neil Bradford and David A. Wolfe 45. Global Value Chains and Innovation Ari Van Assche 46. Innovation, Development and Global Destruction Networks Andrew Herod, Graham Pickren, Al Rainnie and Susan McGrath-Champ 47. Innovation and the Global Eco-Industry Bernard Sinclair-Desgagné Index

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Book SynopsisHuman beings create knowledge as a result of interaction with others. This book is devoted to the idea that collective knowledge management can be strategically promoted through these interactions in order to enhance a firm's competitiveness.Haruo H. Horaguchi explores a new perspective of knowledge management as an eco-system, a theory that explains why Japanese multinational enterprises lead the way for innovation in the 21st century. While the concept of personal knowledge through tacit knowing describes how knowledge is understood as input for individuals, the concept of collective knowledge management contributes to the creation of intellectual resources for firms. This book provides a critical assessment of the classic theories of innovation and an intensive empirical study on industrial agglomeration and collective intelligence. It then goes on to offer a new theory of management.This book will appeal to academics and students of business and management, business administration, sociology and organizational behavior. It will also be of great interest to managers and business-owners looking at new methods of promoting knowledge in the workforce.Contents: Preface 1. Knowledge and Capabilities in Business Management: The Risks of Tacit Knowledge 2. Collective Strategy and Collective Knowledge 3. Shared Knowledge 4. Symbiotic Knowledge 5. Local Knowledge 6. Common Knowledge 7. Collective Knowledge and Collective Strategy in the Intelligent Society: Extension for the International Business Strategy IndexTable of ContentsContents: Preface 1. Knowledge and Capabilities in Business Management: The Risks of Tacit Knowledge 2. Collective Strategy and Collective Knowledge 3. Shared Knowledge 4. Symbiotic Knowledge 5. Local Knowledge 6. Common Knowledge 7. Collective Knowledge and Collective Strategy in the Intelligent Society: Extension for the International Business Strategy Index

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Book SynopsisHow does one implement highly creative ideas in the workplace? Though creativity fuels modern businesses and organizations, capitalizing on creativity is still a relatively unchartered territory. The crux of this issue is explored as contributors present and analyze remedies for capitalizing on highly creative ideas.Editors Miha Skerlavaj, Matej Cerne, Anders Dysvik and Arne Carlsen have gathered a large network of contributors across four continents to craft this relevant, evidence-based and holistic text. Multiple levels, methods, approaches and perspectives are all considered while focusing on a single research question. Chapters feature a combination of research-based materials, stories and short cases to show what can be done to implement highly creative ideas in the workplace.This extremely relevant subject will be of interest to a large number of organizations worldwide that are looking to tap into the potential of highly creative and possibly useful ideas to build their competitive advantage. Specifically, management consultants in Human Resource Management, innovation, creativity, coaching, and/or leadership will find this book useful. It can also be used in Innovation Management MSc and MBA courses, executive education courses, as well as for PhD researchers and innovation management scholars.Contributors: D. Aleksic, B. Balboni, S. Batistic, T. Bednall, S. Bogilovic, G. Bortoluzzi, B. Brogger, R. Buch, A. Carlsen, M. Cerne, A. Dysvik, N. Escriba-Carda, A. Giudici, S. Harrison, T. Hernaus, T. Hoholm, J. Hudovernik, P. Hull Kristensen, A. Hvidsten, M. Jaklic, R. Kase, J. Krapez Trost, B. Kuvaas, A. La Rocca, V.C. Lin, M. Lotz, B.E. Mork, A.S. Nabergoj, C.G.L. Nerstad, P. Parycek, A. Pustovrh, I. Rauth, K. Sanders, R. Schoellhammer, J. Schossböck, H. Shipton, M. Skerlavaj, J. Sumanth, A. Tracogna, L. Valikangas, S.I. Wong, I. ZupicTrade Review'Capitalizing on creativity requires a nuanced understanding of the people, the processes, and the ideas that drive innovation. This book provides a multi-dimensional view of what we know about creativity at work that allows the reader to not only delve deeply into a single aspect but allows readers to examine this topic from different perspectives and levels. The individual chapters provide state-of-the-art insights, but the framework of this text produces a resource which is truly greater than a sum of its parts. A timely integration of contemporary thinking about how to capitalize on creativity at work.' --Jim Berry, UCL School of Management, UK'In their book, Capitalizing on Creativity at Work, Miha Skerlavaj, Matej Cerne, Anders Dysvik and Arne Carlsen have produced an exhaustive and engaging text that will be essential reading for all researchers interested and fascinated by creativity as a core and essential process at all levels of organising, from the individual to organisational levels and beyond. Taking us on a journey through approaches to creativity at work, they provide us with a process perspective and an integrated framework that is both novel and useful. This is an important contribution to the field and one that will have an enduring impact not only to research and theory, but also on practice and especially, innovation policy.' --Tyrone Pitsis, Leeds University Business School, UKTable of ContentsContents: 1. Capitalizing on creativity: on enablers and barriers Matej Černe, Arne Carlsen, Miha Škerlavaj and Anders Dysvik PART I WHAT CAN WE DO ABOUT IT AS INDIVIDUAL EMPLOYEES? 2. Job design at the crossroads: from ‘creative’ jobs to ‘innovative’ jobs Tomislav Hernaus 3. The flow of creativity for idea implementation Darija Aleksić, Miha Škerlavaj and Anders Dysvik 4. Idea implementation and cultural intelligence Sabina Bogilović, Miha Škerlavaj and Sut I Wong Humborstad PART II WHAT CAN WE DO ABOUT IT AS TEAMS? 5. This idea rocks! Idea championing in teams Matej Černe, Robert Kaše and Miha Škerlavaj 6. Should our heart rule our head? Team innovation through intuition and rationality Jana Krapež Trošt and Miha Škerlavaj 7. Fueling, curating, connecting and fascinating: why and how creativity provokes curiosity Spencer Harrison 8. Social-contextual forces and innovative work: a motivational climate perspective Christina G.L. Nerstad PART III WHAT CAN WE DO ABOUT IT AS LEADERS? 9. Supportive supervision: a crucial factor for unlocking the potential of highly creative ideas perspective Matej Černe, Miha Škerlavaj and Anders Dysvik 10. Economic and social leader–member exchange, and creativity at work Robert Buch and Bård Kuvaas 11. Everything in moderation: authentic leadership, leader–member exchange and idea implementation Matej Černe, John Sumanth and Miha Škerlavaj PART IV WHAT CAN WE DO ABOUT IT AS ORGANIZATIONS? 12. Creativity that works: implementing discovery Arne Carlsen and Liisa Välikangas 13. Designing and implementing innovative business models Ivan Župič and Alessandro Giudici 14. Idea implementation as a relational phenomenon: a social network perspective Saša Batistič and Robert Kaše 15. Proactive employee behaviors and idea implementation: three automotive industry cases Janez Hudovernik, Miha Škerlavaj and Matej Černe 16. Design thinking workshops: a way to facilitate sensemaking and idea development across organizational levels Ingo Rauth and Anja Svetina Nabergoj 17. Business model evolution and the growth of innovative new ventures: evidence from the Italian system Andrea Tracogna, Bernardo Balboni and Guido Bortoluzzi 18. Beyond creativity: implementing innovative ideas through human resource management Helen Shipton, Karin Sanders, Tim Bednall, Veronica (Cai-Hui) Lin and Naiara Escribá-Carda 19. Organizing for co-creation and multi-polar learning communities Maja Lotz and Peer Hull Kristensen 20. Making innovations work locally: the role of creativity Antonella La Rocca, Adeline Hvidsten and Thomas Hoholm 21. From breakthroughs in knowledge to integration in medical practices Bjørn Erik Mørk and Thomas Hoholm PART V WHAT CAN WE DO ABOUT IT AS INNOVATION POLICY-MAKERS? 22. Adjusting national innovation policies to support open and networked innovation systems Marko Jaklič and Aleš Pustovrh 23. Government ideation systems Peter Parycek, Ralph Schoellhammer and Judith Schossböck 24. Creation of a social media social venture Benedicte Brøgger PART VI WHAT DOES IT ALL MEAN? 25. Succeeding with capitalizing on creativity: an integrative framework Miha Škerlavaj, Anders Dysvik, Matej Černe and Arne Carlsen Index

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Book SynopsisEngaging and innovative, User Generated Law offers a new perspective on the study of intellectual property law. Shifting research away from the study of statutory law, contributions from leading scholars explore why and how self-regulation of intellectual property rights in a knowledge society emerges and develops. Analyzing examples of self-regulation in the intellectual property law-based industries such as collective management of copyrights and patent rights, open source licenses, domain name law and enforcement of intellectual property rights, this book evaluates to what extent user generated law is an accurate model for explaining and understanding this process. It also considers its interaction with the framework conditions of the statutory law upon which it is built and the subsequent redefinition of legal positions for affected parties.With its original stance on understanding and construing intellectual property law, User Generated Law will appeal to students and scholars studying in this area as well as in legal governance and legal theory. Its evaluative approach also lends itself to policy makers and practitioners.Contributors include: O. Kokoulina, B. Lundqvist, M.J. Madison, T. Minssen, C.S. Petersen, T. Riis, O.-A. Rognstad, J. Schovsbo, S.F. Schwemer, H. Udsen, E. van ZimmerenTrade ReviewUser Generated Law contains fascinating insights into how models of self-regulation in the IP sector have developed, and how they operate within the State enacted framework. The authors take a number of case studies within different IP fields including collective management and extended collective licenses, cross-border online licensing, patent pools and clearinghouses, and domain names to examine what forces are at play that encourage the emergence of 'autonomy spaces', spaces that the authors argue are present where public policy considerations play only a small role in the overall framework. It is in these spaces that the self-regulatory models can thrive. This book contains thought-provoking contributions that should cause the reader to review our IP framework and to re-think how user-generated law might operate to the benefit of the stakeholders.' --Charlotte Waelde, University of Exeter, UK'As the classic science fiction film Tron notes, we need to fight for the users. This collection does just that in its exploration of user generated law. In particular, it examines the rise of the commons open source licensing, patent clearinghouses, patent pools, the private regulation of internet domain names, and cross border licensing. The collection is particularly significant given the significant evolution of user generated law in our knowledge ecology.' --Matthew Rimmer, Queensland University of Technology, AustraliaTable of ContentsContents: Preface 1. User Generated Law. Re-constructing Intellectual Property Law in a Knowledge Society Thomas Riis 2. Information Abundance and Knowledge Commons Michael J. Madison 3. Collective Agreements for the Clearance of Copyrights – The Case of Collective Management and Extended Collective Licenses Thomas Riis, Ole-Andreas Rognstad and Jens Schovsbo 4. Emerging Models for Cross-border Online Licensing Sebastian Felix Schwemer 5. Open Source Licenses Henrik Udsen 6. IP Coordination Models: Revealing some of the “Magic” behind Patent Pools and Clearinghouses? Esther van Zimmeren 7. More competition-law-FRANDly IPR policies: A Solution to SSOs’ Problems of Self-governance? Olga Kokoulina and Timo Minssen 8. “The Rise of Standardization and the Limits of Self-Governance”: Unilateral Conduct under International Standards from an EU Competition Law Perspective Björn Lundqvist 9. The Private Legal Governance of Domain Names Jens Schovsbo 10. Private Enforcement of IP Law by Internet Service Providers: Notice and Action Procedures Clement Salung Petersen and Thomas Riis Index

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Book SynopsisThe Handbook of Universities and Regional Development offers a comprehensive and up-to-date insight into how academic institutions impact and enhance their surroundings. It also sheds light on universities as regional development actors from a historical perspective, both by introducing institutional changes and highlighting the interrelatedness of society, business and academia. Chapters provide comprehensive investigations into knowledge transfer mechanisms to explore the diverse ways in which ideas and intellectual property can flow between universities and businesses. Detailed comparative case studies from across the globe expose the highly contextual nature of interactions between academic institutions and their regions. Regional studies scholars will find this Handbook offers a thorough analysis of the topic, as well as a range of key interpretations on the relationships between universities and regional development. Providing important policy recommendations aimed at creating improved relations between academic institutions and their environment, this thought-provoking Handbook is key reading for regional policy makers as well as university managers and administrators. Contributors include: S. Bagchi-Sen, P. Benneworth, M. Breul, Y. Cai, F. Eckardt, L. Edmunds, K. Erdós, H. Etzkowitz, M.P. Feldman, Z. Gál, H. Goldstein, R. Huggins, A. Inzelt, A. Johnston, H. Lawton Smith, A. Lyytinen, J. Manoel Carvalho de Mello, C. Martínez, P. McCann, L. Melo, E.I. Nwakpuda, R. Ortega-Argilés, P. Ptácek, V. Radinger-Peer, E. Rasmussen, T. Renault, J. Revilla Diez, S. Sedlacek, S. Slaughter, N.M. Sorber, R. Sternberg, V. Sterzi, B.J. Taylor, J. van den Broek, A. Varga, A. Vorderwülbecke, J. Wrana, P. Yang, S.R. YatesTrade Review‘The Handbook is a quality addition to the already deep literature on the topic of universities and regional development. Again, the focus is on the technology transfer and commercialization linkages and not broader areas of regional engagement that universities may possess. The Handbook could be a useful reference in a graduate seminar or a valuable addition to one's personal library.’ -- Frank J Calzonetti, Regional Science Policy & Practice'The Handbook of Universities and Regional Development provides a comprehensive and excellent overview of theoretical and empirical research on the role of universities as regional development actors. Its collection of studies provides a useful foundation for graduate students interested in the field, and offers stimulating reading for regional policymakers. Scholars interested in these topics should find this edited collection a source of inspiration for their own research.' -- Pablo D’Este, Regional Studies'This Handbook, on the role and different missions of universities in regional development, is long overdue. The renowned competence of the two editors - Attila Varga and Katalin Erdós - allow them to aptly select a number of outstanding contributions, providing a wide-ranging and critical overview of the cutting-edge theoretical and empirical research on universities as major players in regional economic development across a variety of geographies. An excellent and essential compendium for both graduate students and researchers interested in the field.' -- Simona Iammarino, London School of Economics, UK'By studying universities as actors in regional development and as sources of knowledge spillovers, the book provides an interesting picture of the contribution of such institutions to regional development. Universities are back on the scene as active players of the modern knowledge economy.' --Roberta Capello, Politecnico di Milano and Past President of RSAI, ItalyTable of ContentsContents: 1. Introduction 1 Katalin Erdős and Attila Varga PART I UNIVERSITIES AS ACTORS IN REGIONAL DEVELOPMENT 2. A history of the American land-grant universities and regional development 11 Nathan M. Sorber 3. The second academic revolution : antecedents and consequences of academic entrepreneurship 29 Henry Etzkowitz 4. Universities and their economic and social contribution to regional development 44 Philip McCann and Raquel Ortega-Argilés 5. The transformative role of universities in regional innovation systems : lessons from university engagement in cross-border regions 54 Jos van den Broek, Franziska Eckardt and Paul Benneworth 6. Connections between universities and industry in the United States : trusteeship before and after the great recession 73 Sheila Slaughter and Barrett J. Taylor 7. Philanthropic support of higher education : major gifts from high net worth individuals 90 Emily I. Nwakpuda and Maryann P. Feldman PART II UNIVERSITY KNOWLEDGE TRANSFER MECHANISMS 8. University patenting and the quest for technology transfer policy models in Europe 111 Catalina Martínez and Valerio Sterzi 9. The regional impacts of university spin-offs : in what ways do spin-offs contribute to the region? 151 Einar Rasmussen 10. The under-researched role of alumni spin-off entrepreneurs in upgrading a university’s entrepreneurial support structure: essential ingredient or just a decorative accessory? 166 Arne Vorderwülbecke and Rolf Sternberg 11. Scientists as businessmen – can they, should they? 192 Katalin Erdős 12. Networks, innovation systems and the geography of university–industry linkages : the case of knowledge-intensive business services 210 Andrew Johnston and Robert Huggins PART III REGIONAL CASE STUDIES FROM THREE CONTINENTS 13. Universities, the bioscience sector and local economic development in Oxfordshire : challenges and opportunities 230 Helen Lawton Smith, Sharmistha Bagchi-Sen and Laurel Edmunds 14. The pathways and challenges of university engagement: comparative case studies 251 Harvey Goldstein, Verena Radinger-Peer and Sabine Sedlacek 15. The role of mid-range universities in knowledge transfer and regional development : the case of five central European regions 279 Zoltán Gál and Pavel Ptáček 16. Progress of academic knowledge-based entrepreneurship in three minor post- Soviet economies 301 Annamária Inzelt 17. The role of non-research universities in regional innovation systems in China 329 Yuzhuo Cai, Po Yang and Anu Lyytinen 18. Changing higher education systems through corporate social responsibility? ─ A study on multinational enterprises’ efforts to establish proto-institutions at Vietnamese universities 348 Jöran Wrana, Moritz Breul and Javier Revilla Diez 19. Universities and innovation habitats in Brazil : cases of the Pontifical Catholic University of Rio de Janeiro and the Federal University of Rio de Janeiro 370 Thiago Renault, Sérgio R. Yates, Leonardo Melo and José Manoel Carvalho de Mello Index 393

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Book SynopsisThis outstanding volume by Zoltán J. Ács, a leading expert on entrepreneurship and innovation, provides the perfect introduction to current thinking about entrepreneurship in the global economy. The topics are critical for people contemplating entrepreneurship and development; from knowledge diffusion to philanthropy, regional growth and the role of entrepreneurs in economic growth.'- Saul Estrin , London School of Economics and Political Science, UKThis book presents some of Zoltán J. Ács' most important contributions since the turn of the new millennium, with a particular intellectual focus on knowledge spillover entrepreneurship. It studies the evolution of global entrepreneurship and pays attention to the role of institutions and the incentives they create for economic agents who become either productive or unproductive entrepreneurs.For productive entrepreneurs, those that create wealth for themselves and for society, the author offers a knowledge spillover theory of entrepreneurship as a new way to help understand the entrepreneurial ecosystem. For those that create wealth only for themselves the author develops a theory of destructive entrepreneurship that undermines the entrepreneurial ecosystem. The book also presents an explanation of the role of philanthropy in reconstituting wealth to complete the circuits of capital in the theory of capitalist development. Finally, the author examines several public policy issues including immigration and technology transfer.This volume will be required reading for students and scholars of entrepreneurship, economics and public policy.Trade Review‘This book brings together much-admired pieces of literature to help us to understand the dynamics of global entrepreneurship, situating them within the formal institutions and systems of incentives in the countries and regions where they begin and shows how they are later expanded to larger markets. This book will also help the emerging economies to strategize their public policies for entrepreneurship development. This book is recommended to scholars and practitioners engaged in entrepreneurship research, or studying the entrepreneurial behaviors of global enterprises.’ -- Science & Public Policy‘This outstanding volume by Zoltán J. Ács, a leading expert on entrepreneurship and innovation, provides the perfect introduction to current thinking about entrepreneurship in the global economy. The topics are critical for people contemplating entrepreneurship and development; from knowledge diffusion to philanthropy, regional growth and the role of entrepreneurs in economic growth.’ -- Saul Estrin, London School of Economics and Political Science, UK‘This book brings together much-admired pieces of literature to help us to understand the dynamics of global entrepreneurship, situating them within the formal institutions and systems of incentives in the countries and regions where they begin and shows how they are later expanded to larger markets. This book will also help the emerging economies to strategize their public policies for entrepreneurship development.’ -- Science and Public PolicyTable of ContentsContents: Introduction Zoltán J. Ács PART I INCENTIVES AND THE MANY FACES OF ENTREPRENEURSHIP 1. Sameeksha Desai, Zoltan J. Acs and Utz Weitzel (2012), ‘A Model of Destructive Entrepreneurship: Insight for Conflict and Postconflict Recovery’, Journal of Conflict Resolution, 57 (1), February, 20–40 2. Utz Weitzel, Diemo Urbig, Sameeksha Desai, Mark Sanders and Zoltan Acs (2010), ‘The Good, the Bad, and the Talented: Entrepreneurial Talent and Selfish Behavior’, Journal of Economic Behavior and Organization, 76 (1), October, 64–81 3. Zoltan J. Acs, Mary C. Boardman and Connie L. McNeely (2013), ‘The Social Value of Productive Entrepreneurship’, Small Business Economics, 40 (3), April, 785–96 4. Zoltán J. Ács, László Szerb and Scott Jackson (2013), ‘Entrepreneurship in Africa through the Eyes of GEDI’, Entrepreneurship and Innovation, 14 (4), November, 219–34 PART II THE KNOWLEDGE SPILLOVER THEORY OF ENTREPRENEURSHIP 5. Bo Carlsson, Zoltan J. Acs, David B. Audretsch and Pontus Braunerhjelm (2009), ‘Knowledge Creation, Entrepreneurship, and Economic Growth: A Historical Review’, Industrial and Corporate Change, 18 (6), December, 1193-229 6. Pontus Braunerhjelm, Zoltan J. Acs, David B. Audretsch and Bo Carlsson (2010), ‘The Missing Link: Knowledge Diffusion and Entrepreneurship in Endogenous Growth’, Small Business Economics, 34 (2), February, 105–25 7. Zoltan J. Acs, Pontus Braunerhjelm, David B. Audretsch and Bo Carlsson (2009), ‘The Knowledge Spillover Theory of Entrepreneurship’, Small Business Economics, 32 (1), January, 15–30 8. Lawrence A. Plummer and Zoltan J. Acs (2014), ‘Localized Competition in the Knowledge Spillover Theory of Entrepreneurship’, Journal of Business Venturing, 29 (1), January, 151–36 9. Haifeng Qian and Zoltan J. Acs (2013), ‘An Absorptive Capacity Theory of Knowledge Spillover Entrepreneurship’, Small Business Economics, 40 (2), February, 185–97 10. Zoltan J. Acs and Mark W.J.L. Sanders (2013), ‘Knowledge Spillover Entrepreneurship in an Endogenous Growth Model’, Small Business Economics, 41 (4), December, 775–95 11. Zoltan J. Acs and Mark Sanders (2012), ‘Patents, Knowledge Spillover and Entrepreneurship’, Small Business Economics, 39 (4), November, 801–17 PART III CITIES, KNOWLEDGE AND ENTREPRENEURSHIP 12. Zoltan Acs, Niels Bosma and Rolf Sternberg (2010), ‘Entrepreneurship in World Cities’, in Maria Minniti (ed.), The Dynamics of Entrepreneurship: Evidence from the Global Entrepreneurship Monitor Data, Chapter 6, Oxford, UK and New York, NY: Oxford University Press, 125–51 13. Zoltan J. Acs and Siri Terjesen (2013), ‘Born Local: Toward a Theory of New Venture’s Choice of Internationalization’, Small Business Economics, 41 (3), October, 521–35 14. Haifeng Qian, Zoltan J. Acs and Roger R. Stough (2012), ‘Regional Systems of Entrepreneurship: The Nexus of Human Capital, Knowledge, and New Firm Formation’, Journal of Economic Geography, 13 (4), July, 559–87 15. Zoltán J. Ács, László Szerb, Raquel Ortega-Argilés, Ruta Aidis and Alicia Coduras (2014) ‘The Regional Application of the Global Entrepreneurship and Development Index (GEDI): The Case of Spain’, Regional Studies, 1–19 16. Zoltan J. Acs and Pamela Mueller (2008), ‘Employment Effects of Business Dynamics: Mice, Gazelles and Elephants’, Small Business Economics, 30 (1), January, 85–100 17. Zoltan Acs, Lawrence A. Plummer and Ryan Sutter (2009), ‘Penetrating the Knowledge Filter in Rustbelt Economies’, Annals of Regional Science, 43 (4), December, 989–1029 18. Zoltan J. Acs , Catherine Armington and Ting Zhang (2007), ‘The Determinants of New-Firm Survival Across Regional Economies: The Role of Human Capital Stock and Knowledge Spillover’, Annals of Regional Science, 86 (3), August, 367–91 PART IV COUNTRIES, INSTITUTIONS AND ENTREPRENEURSHIP 19. Philip McCann and Zoltan J. Acs (2011), ‘Globalization: Countries, Cities and Multinationals’, Regional Studies, 45 (1), January, 17–32 20. Pekka Stenholm, Zoltan J. Acs and Robert Wuebker, (2013), ‘Exploring Country Level Institutional Arrangements on the Rate and Type of Entrepreneurial Activity’, Journal of Business Venturing, 28 (1), January, 176–93 21. Erkko Autio and Zoltan Acs (2010), ‘Intellectual Property Protection and the Formation of Entrepreneurial Growth Aspiration’, Strategic Entrepreneurship Journal, 4 (3), September, 234–51 22. Sonia Ketkar and Zoltan J. Acs (2013), ‘Where Angels Fear to Tread: Internationalization of Emerging Country SMEs’, Journal of International Entrepreneurship, 11 (3), September, 201–19 23. Soogwan Doh and Zoltan J. Acs (2010) ‘Innovation and Social Capital: A Cross-Country Investigation’, Industry and Innovation, 17 (3), June, 241–62 24. Zoltan J. Acs, Sameeksha Desai and Leora F. Klapper (2008) ‘What does “Entrepreneurship” Data Really Show?’, Small Business Economics, 31 (3), October, 265–81 PART V CAPITALISM, PHILANTHROPY AND DEMOCRACY 25. Zoltan J. Acs (2013), ‘“Entrepreneurial Capitalism” in Capitalist Development: Towards a Synthesis of Capitalist Development and the “Economy as a Whole”’, in Zoltan J. Acs, David B. Audretsch and Robert J. Strom (eds), Entrepreneurship, Growth, and Public Policy, Chapter 14, Cambridge, UK and New York, NY: Cambridge University Press, 319–37 26. Philip Auerswald and Zoltan J. Acs (2009), ‘Defining Prosperity’, American Interest, IV (5), May/June, 1–9 27. Zoltan J. Acs (2014) ‘The Great Seasaw of Civilization’, Philanthropy Impact Magazine, 5, Spring, 15–18 PART VI INSTITUTIONS, INCENTIVES AND PUBLIC POLICY 28. Zoltán J. Ács, Erkko Autio and László Szerb (2014), ‘National Systems of Entrepreneurship: Measurement Issues and Policy Implications’, Research Policy, 43 (3), April, 476–94 29. Zoltan J. Acs (2009), ‘High-Impact Firms: Gazelles Revisited’, in Michael Fritsch (ed.), Handbook of Research on Entrepreneurship and Regional Development, Chapter 6, Cheltenham, UK and Northampton, MA: Edward Elgar Publishing, 133–74 30. Zoltan J. Acs, Colm O’Gorman and Siri Terjesen (2007), ‘Could the Irish Miracle be Repeated in Hungary?’, Small Business Economics, 28 (2–3), March, 123–42 31. David M. Hart and Zoltan J. Acs (2011), ‘High-Tech Immigrant Entrepreneurs in the United States’, Economic Development Quarterly, 25 (2), May, 116–29 32. David J. Miller and Zoltan J. Acs (2014) ‘Technology Commercialization on Campus: Twentieth Century Frameworks and Twenty-First Century Blind Spots’, Annals of Regional Science, 50 (2), April, 407–23 Index

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Book SynopsisThis timely Handbook establishes the 'contextualization' of the learning organization idea as a research field.In contrast to much of the previous literature, which has approached the learning organization as a panacea that every organization could and should adopt, this major new Handbook puts the learning organization into context. It examines the relevance of the learning organization idea to organizations in various specific contexts, employing examples from a wide variety of cultures including China and Islamic nations, and from industries as diverse as the police force, care services for the elderly and family firms.Scholars and students with an interest in organizational learning will find this important Handbook enriching. Human resource practitioners will also find plenty of invaluable information in this resource.Contributors: C. Abrahamson Löfström, A. Ahmad, M. Babur, Y. Baruch, N. Birdthistle, D.A. Blackman, C. Blantern, P. Bogolyubov, T. Boydell, H.T.M. Bui, J. Burgoyne, X. Cong, D.J. Delgado-Hernández, M. Drobnjak, M. Easterby-Smith, Z. Fan, C. Filstad, T.N. Garavan, P. Gottschalk, J.F.L. Hong, S.-w. Hsu, D. Jamali, B. Li, Z. Li, M. Lin, C. Lloyd, D. McDowall, A. Örtenblad, C. Peng, Y. Sidani, R.S. Snell, C. Stothard, S. Talbot, M. Torokoff-Engelbrecht, K.E. Watkins, D. Weir, J. ZhouTrade ReviewÖrtenblad offers a contingency framework differentiating the idea of the learning organization as portrayed in research and practice to shed light on context as key to the idea's relevance. The contingency framework anchors chapter authors' interrogation into adaptation of enduring, underlying principles by divergent context - in industry, sector, national culture, religious orientation, and philosophical underpinnings. Readers will value analysis and synthesis of what is known from research as well as informed probing of what could be learned through the lens of provocative viewpoints. Scholars will appreciate Örtenblad's assessment of extant research and arguments made for ''researcher-assisted adaptation'' to balance rigid prescriptions with informed guidance in navigating contextual differences when deciding to enact the learning organization. --Victoria J. Marsick, Columbia UniversityThe handbook is a very well researched and excellent tool for anyone interested in the concept of learning, and particularly in the global organizational context. I highly recommend this book to managers of companies both large and small wanting to compete in the global landscape by highlighting the important learning that occurs in their organizations. --Vanessa Ratten, Thunderbird International Business ReviewTable of ContentsContents: Preface Anders Örtenblad PART I: INTRODUCTION AND BACKGROUND 1. Introduction: Putting the Learning Organization into Context: An Emerging Research Field Anders Örtenblad 2. What do we Mean by ‘Learning Organization’? Anders Örtenblad 3. Putting the Learning Organization into Context: Contributions from Previous Works Anders Örtenblad, Ziyun Fan, Chenghao Peng, Boying Li, Ziyan Li, Xiaoying Cong and Jie Zhou 4. Contextualizing the Learning Organization: Approaches to Research Design Anders Örtenblad 5. Obstacles to the Learning Organization David Weir and Anders Örtenblad PART II: THE LEARNING ORGANIZATION IN CONTEXT Section A. Culture and Religion 6. National Culture and the Learning Organization: An Integrative Framework Pavel Bogolyubov and Mark Easterby-Smith 7. Developing Learning Organizations in China Jacky F.L. Hong, Robin Stanley Snell and Mian Lin 8. Learning Organization Practices in Mexico: An Empirical Study David Joaquín Delgado-Hernández and Made Torokoff-Engelbrecht 9. Islamic Perspective of the Learning Organization Aini Ahmad Section B. Industries and Sectors 10. Learning, Trust and Change within the Australian Army: The Development of the Army Learning Organization Questionnaire (ALOQ) Maya Drobnjak, Christina Stothard, Steven Talbot, Karen E. Watkins and Denise McDowall 11. The Police Force: To be or not to be a Learning Organization? Cathrine Filstad and Petter Gottschalk 12. The Learning Organization in Elderly Care – Can it Fit? Carina Abrahamson Löfström 13. Family Firms as Learning Organizations Naomi Birdthistle and Thomas N. Garavan 14. Universities as Learning Organizations: Internationalization and Innovation Hong T.M. Bui and Yehuda Baruch Section C. Mixed Contexts 15. Public Sector Organizations as Learning Organizations: Insights from the Education System in Pakistan Muhammad Babur 16. The Learning Organization: Opportunities and Challenges for Small and Medium-sized Enterprises in Developing Countries Dima Jamali, Yusuf Sidani and Charissa Lloyd PART III: REFLECTIONS ON THE LEARNING ORGANIZATION 17. The Universality of Learning Company Principles: A Critical Realist Approach John Burgoyne 18. Who is the Learning Organization For? A Stakeholder Contingency Approach to Contextualizing Managerial Panaceas Anders Örtenblad 19. ‘The Learning Organization’ – Drop the Dead Metaphor! Performing Organizing and Learning in Networks (So to Speak) Chris Blantern, Tom Boydell and John Burgoyne 20. Alternative Learning Organization Shih-wei Hsu 21. Contextualising the Learning Organization: How will it Help us Learn in the Future? Deborah Ann Blackman 22. Towards a Contingency Model: Recommendations for Further Research Anders Örtenblad Index

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Book SynopsisThis essential Research Handbook examines the state-of-the-art methodologies being applied to the expanding field of intellectual capital (IC) research. It offers an overview of the contemporary issues and methods in the field, providing insight and inspiration for emerging and established academics in their own research.Featuring contributions from a variety of renowned international scholars in the area, the Research Handbook is divided into four parts, outlining the four main methodological routes taken by current IC research. First, chapters discuss content analysis and offer future perspectives for advancing such studies. The book then examines fruitful avenues for IC visualization studies, before critiquing and furthering IC value added and IC efficiency measurement studies. Finally, it analyses and offers novel approaches for studying and intervening with IC and value creation.This Research Handbook will be a vital resource for scholars and students of business and management entering the field of intellectual capital, whether they are established academics with a renewed interest in the subject or just starting their research careers.Trade Review‘This is an invaluable resource for both new and seasoned scholars interested in the field of intellectual capital (IC). The impressive range of topics arranged under the four themes – content analysis, visual methodologies, Value Added Intellectual Capital (VAIC) and novel approaches – does not only highlight some of the critical issues in measuring IC but also offer some fresh approach that can be adopted when researching IC.’ -- Roszaini Haniffa, Heriot-Watt University, UKTable of ContentsContents: Foreword by Leif Edvinsson xi Introduction: welcome to the world of intellectual capital 1 John Dumay, Christian Nielsen and Morten Lund PART I CONTENT ANALYSIS 1 Investigating intellectual capital disclosure through content analysis: reflections and suggestions for future research 6 Laura Bini and Francesco Giunta 2 Has content analysis on intellectual capital reporting reached an impasse? 30 Viktoria Goebel 3 Validity in content analysis-based intellectual capital disclosure research: a critical review 49 Subhash Abhayawansa, Zihan Liu and James Guthrie 4 Intellectual capital research: European versus North American approaches 71 Henri Hussinki, Tatiana Garanina and John Dumay 5 Exploring the impact of intellectual capital narratives on corporate accountability 87 Alessandro Lai, Giulia Leoni and Riccardo Stacchezzini 6 Deductive versus inductive content analysis: a methodological research note to disclosures studies in intellectual capital research 109 Gunnar Rimmel and Michela Cordazzo 7 Assessing the value relevance of intellectual capital disclosure: are price-level models effective? 125 Lorenzo Simoni and Francesco Giunta PART II VISUAL METHODOLOGIES 8 Research methodologies for intellectual capital visual representations 154 Jan Michalak 9 Building causal maps in the intellectual capital domain: a methodological perspective 176 Marco Giuliani 10 Intellectual capital and pictorial disclosures analysis: an MIA (missing in action) interpretative paradigm 195 Paul Davis, Mary Low, Jackie Allen and Umesh Sharma PART III VALUE ADDED INTELLECTUAL COEFFICIENT (VAIC) 11 Knowledge-based organizations: an accounting point of view 220 Gianpaolo Iazzolino and Domenico Laise 12 Re-examination of the value added intellectual coefficient (VAICTM): a test of value relevance 236 Oren Mooneeapen, Subhash Abhayawansa and Dinesh Ramdhony 13 Measuring intellectual capital efficiency: going beyond the VAIC model 255 Muhammad Nadeem and Rashid Zaman PART IV NOVEL APPROACHES 14 An introduction to network analysis in intellectual capital research 274 Rosa Lombardi and Federico Schimperna 15 The usefulness of exercises for identifying critical IC in organizations 290 Susanne Durst 16 Interventionist research into value creation mechanisms 304 Christian Nielsen and Morten Lund 17 Combining the measurement and management approaches: the fuzzy logic methodology 329 Stefania Veltri 18 Operationalising the resource-based view of the firm 353 Göran Roos Index 386

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Book SynopsisKey elements of the North American Free Trade Agreement (NAFTA) deal with temporary labor mobility. Ideally, NAFTA status provisions should make the temporary movement of professionals easier across the border of all NAFTA countries. However, in the case of emerging sectors such as high technology and the creative industries, it is arguably not the case. Within the context of recent literature on cross-border trade, city regions, economic clusters, international labor mobility, and post-September 11 security measures, this book probes the dynamics of transitory immigration of 'knowledge-workers' between the North American west coast city regions of Vancouver, Seattle, and the greater San Francisco Bay and Silicon Valley area, namely, Cascadia. With particular attention given to the experiences and strategies of the high tech firms that must move highly skilled workers across the Canada-US border, this book draws from 80 in-depth interviews with Canadian and US immigration officials, immigration attorneys and executives and professional staff of new technology firms and Fortune 500 companies. It develops and presents new models towards the development of an innovation cross border region, and recommends new policy approaches. Ultimately, it explores whether or not the Canada-US border is an impediment to the development of cross-border high-tech clusters. This comprehensive book will serve as a critical resource for academics in geography; political science; international relations; global studies; economics; international business and law. It will also strongly appeal to practitioners such as professional immigration lawyers, corporate firms, and governmental policy makers alike.Trade Review'Knowledge Borders is required reading for anyone engaged in the pervasive and mobile world of highly skilled workers in advanced technologies. Through a perceptive analysis of the intersection of the Canada-US border, with the technology economy in the Seattle-Vancouver corridor and Silicon Valley, this study evaluates the efficacy of the NAFTA in facilitating professional cross-border movement in the North American west coast region. Kathrine Richardson draws from deep understanding of how borders work, informed comparison with other cross-border trade regions, and extensive interviews to assess how firms, immigration officials and immigration attorneys interpret NAFTA provisions and tailor a regional skilled labor mobility regime.' --Victor Konrad, Carleton University, CanadaTable of ContentsContents: PART I GENERAL INTRODUCTION AND OVERVIEW 1. Introduction 2. Borders and the Movement of the Highly Skilled 3. The Cascadia region in its Wider Context Part II THE EMPIRICAL WORK 4. The Firms 5. The Immigration Officials 6. The Immigration Attorneys Part III THE CONCLUSION 7. Conclusion Index

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Book SynopsisKnowledge management is a strategic issue for companies, and international standards such as ISO recently integrate it into its requirements. However, it is still an ill-defined concept, and methodologies to implement it are not very well known. This book is the result of over twenty years of research in different labs and application in a wide range of public or private companies around the world. It gives a global and coherent view both from the theoretical and practical point of views.Table of ContentsPreface ix Part 1 Theoretical Elements 1 Chapter 1 A Knowledge Value Chain 3 1.1 Introduction 3 1.2 Different KVCs 4 1.3 The DIKW model 8 1.4 KVC and management 13 1.5 Transformation processes in the KVC 15 1.6 Practical application 19 1.7 Conclusion 22 Chapter 2 The Knowledge Capital of a Company 23 2.1 Introduction 23 2.1.1 The accumulation of knowledge 23 2.1.2 The company as knowledge producer 24 2.2 Modeling a company as a knowledge producer 25 2.2.1 Systemic modeling 25 2.2.2 The “black box” model 26 2.2.3 The “division of labor” model 27 2.2.4 The informational model 27 2.2.5 The knowledge capital model 28 2.2.6 The knowledge capital and knowledge actors model 31 2.2.7 Integration of customer knowledge and external knowledge into the AIK model 33 2.3 The operators of the AIK model 35 2.3.1 The Wenger operator 35 2.3.2 The Nonaka operators 35 2.3.3 Integration of the Nonaka theory into the AIK model 37 2.4 Tacit/explicit knowledge and knowledge communities 39 2.5 Mapping as a modeling tool to steer the AIK system 41 2.6 Practical application 43 2.7 Conclusion 45 Chapter 3 The Structure of Knowledge 47 3.1 Introduction 47 3.2 The semiotic triangle of knowledge 48 3.3 The systemic triangle of knowledge 52 3.4 The knowledge macroscope 54 3.4.1 Knowledge and information 55 3.4.2 Knowledge and meaning 56 3.4.3 Knowledge and context 57 3.5 Practical application 59 3.6 Conclusion 64 Chapter 4 Shannon’s Theory of Knowledge 65 4.1 Introduction 65 4.2 Some definitions and notations 66 4.2.1 The basic unit of knowledge 66 4.2.2 Measuring knowledge 68 4.2.3 Quantity of knowledge in a corpus 69 4.3 Measurement of the quantity of information in a corpus 70 4.4 Measurement of the quantity of meaning in a corpus 75 4.4.1 Definitions and notations 75 4.4.2 Quantitative characterization of semantic graphs: Gurevich entropy 76 4.5 Measurement of usage context in a corpus 83 4.5.1 Introduction 83 4.5.2 Social networks 84 4.5.3 Hierarchical small-world networks 86 4.5.4 Scale-free networks 89 4.5.5 Quantitative characterization of the usage graph of a corpus 90 4.6 Practical application 91 4.7 Conclusion 93 Part 2 Practical Elements 97 Chapter 5 A New Approach to KM 99 5.1 Introduction 99 5.2 Two examples of KM standardization 100 5.2.1 KM and international standardization 100 5.2.2 KM in the nuclear domain 101 5.3 The French Knowledge Management Club 103 5.4 Conclusion 105 Chapter 6 A Framework for Knowledge-based KM 107 6.1 Introduction 107 6.2 The Daisy Model 108 6.3 Building a KM process framework 110 6.4 Conclusion 113 Chapter 7 KM: From Strategy to Implementation 115 7.1 Introduction 115 7.2 Framing a KM project 116 7.2.1 The objectives 116 7.2.2 Responsibilities and roles 117 7.2.3 Resources 119 7.2.4 Internal communication 119 7.2.5 Connections between KM and other company issues 119 7.2.6 Other subjects of interest to consider 121 7.3 Implementing the KM project 121 7.4 Monitoring the KM system 124 7.5 Conclusion 125 Chapter 8 Analyzing Knowledge Capital and Elaborating a KM Plan 127 8.1 Introduction 127 8.2 Tools for analyzing knowledge capital 128 8.2.1 Maps 128 8.2.2 The knowledge criticality analysis grid 129 8.3 The knowledge capital analysis process 132 8.3.1 Step 1: analyzing critical capacities 132 8.3.2 Step 2: analyzing critical knowledge 134 8.3.3 Step 3: strategic alignment 137 8.3.4 Step 4: elaborating a KM plan 139 8.4 Conclusion 142 Chapter 9 Implementing the KM Plan 143 9.1 Introduction 143 9.2 Knowledge organization 144 9.2.1 Tangible resources (explicit knowledge) 144 9.2.2 Intangible resources (tacit knowledge) 145 9.2.3 New knowledge resource additions 146 9.3 Knowledge codification 147 9.3.1 Lessons learned 148 9.3.2 Knowledge-based documents 149 9.3.3 Knowledge books 159 9.4 Knowledge sharing 179 9.4.1 Knowledge communities or communities of practice 179 9.4.2 Knowledge transfer 184 9.5 Knowledge search 193 9.5.1 Knowledge search and information retrieval 194 9.5.2 The knowledge search process 196 9.5.3 The challenge of KM in knowledge search 198 9.6 Knowledge creation 200 9.6.1 Knowledge creation and innovation 200 9.6.2 Knowledge-based innovation 202 9.6.3 Evaluating the maturity of the innovation process 207 9.7 Conclusion 209 Bibliography 211 Index 219

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Book SynopsisThoroughly grounded in an extensive body of international research and analysis, this book investigates the concepts surrounding a firm’s knowledge capital. These concepts play an integral part in the evolution of economic and managerial thinking, particularly in relation to the themes of firm, knowledge and innovation. The author advocates a greater socialization of the production of knowledge capital that stands in contradiction to the strong appropriation strategies that are predominant today. This book presents a historical analysis of the facts with a strong basis in the recent literature in economics and innovation management as well as in case studies of CAC 40 companies that have been conducted over the course of the past few years. Table of ContentsAcknowledgements vii Foreword ix Introduction xiii Chapter 1 The Firm, Knowledge and Capital: Toward the Definition of Knowledge Capital 1 1.1 Innovation: definition, organization and measurement 1 1.1.1 “From vice to virtue”: the evolution of the definition for innovation 1 1.1.2 Typology of innovation: the contemporary definition 7 1.1.3 How are innovation activities organized? The innovation models 15 1.1.4 Measuring innovation 21 1.2 Knowledge capital: definition and roles 28 1.2.1 From scientific and technical knowledge to knowledge capital 28 1.2.2 The productive use of knowledge capital 35 1.3 The theoretical origins of knowledge capital 41 1.3.1 Contemporary theories of the firm and of innovation 41 1.3.2 The contribution of pioneer economists in the definition of knowledge capital 52 Chapter 2 The Building of the Knowledge Capital 61 2.1 The first forms of knowledge capital and the formation of national innovation systems 61 2.1.1 The science–technology relationship: from opposition to integration 61 2.1.2 The role of the State in the appropriation of scientific and technical information and knowledge 64 2.2 Multi-partner innovation and formation of knowledge capital 87 2.2.1 Network firm and multi-partner innovation 87 2.2.2 The formation of knowledge capital and multi-partner relations: open innovation 91 2.2.3 Public research in the service of knowledge capital 112 Chapter 3 The Knowledge Capital in Global Networks 123 3.1 The constitution of knowledge capital within global networks 123 3.1.1 From multinational to global production 125 3.1.2 Globalization of R&D and the broadening of the firm’s boundaries: the importance of networks 129 3.1.3 Opportunities and limits of the R&D globalization 140 3.2 Intellectual property rights (IPR) and knowledge capital 142 3.2.1 The new roles of intellectual property rights: between incentives, coordination and offensive use 145 3.2.2 The expansion of intellectual property 159 Conclusion 173 Postface 177 Bibliography 181 Index 211

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Book SynopsisOur world overwhelms us with more and more data everyday. Yet we need to face many challenges in order to deal with its complexity – notably to discern the essential from the accessory, to exploit quality and not quantity, to explore the depth of our knowledge and to produce from it, in a reasoned way, effective ideas to be put into action. A synthesis of a triple experience in industry, pedagogy and academia, Knowledge and Ideation presents numerous concepts, such as the dematerialized knowledge object, inventive intellectual heritage, inventive potential, and knowledge-based ideation. This book develops and describes applications in the form of case studies while proposing prospects.Table of ContentsForeword xiii Preface xvii Part 1 Inventive Knowledge and Inventive Intellectual Corpus 1 Chapter 1 Nature of Inventive Knowledge 3 1.1 Knowledge levels 3 1.1.1 Knowledge in everyday life 4 1.1.2 Scientific knowledge 4 1.1.3 Knowledge in the Japanese intellectual tradition 4 1.1.4 Knowledge according to cognitive science 5 1.2 The limits of knowledge 6 1.3 Value chain and knowledge evolution chain 7 1.3.1 The knowledge value chain inspired by Porter 7 1.3.2 The DIKW knowledge evolution chain 16 1.4 Inventive knowledge concepts 21 1.4.1 Current and fruitful ideas 21 1.4.2 Depth of inventive knowledge 22 1.5 Cognitive and social dimensions of the knowledge actor 22 1.5.1 From erudite (scholar) to expert 23 1.5.2 From expert to inventor 23 1.6 Conclusion 24 Chapter 2 Representation and Analysis of Inventive Knowledge 25 2.1 The concept of dematerialized knowledge object 25 2.1.1 Founding principle 25 2.1.2 Illustration by electromagnetic wave detection object 26 2.1.3 Application to the description included in patents 27 2.2 Cartography or mapping 28 2.2.1 Introduction 28 2.2.2 Information mapping 28 2.2.3 Knowledge mapping 29 2.3 The map 30 2.3.1 Introduction to the map 30 2.3.2 Types of maps 31 2.4 Cognitive mapping 32 2.5 The cognitive map 32 2.6 A reasoned procedure for analyzing inventive knowledge 35 2.6.1 Introduction 35 2.6.2 Work on a knowledge structure 36 2.6.3 Example of an invention file 37 2.7 Conclusion 40 Chapter 3 Knowledge: Bridge between Innovation, Invention and Intellectual Property 41 3.1 Innovation 41 3.1.1 Multidimensional aspect of innovation 41 3.1.2 Innovation procedures and processes 42 3.2 Invention and the ability to invent 44 3.2.1 Concept of inventiveness 44 3.2.2 Concept of creativity 44 3.2.3 Combining creativity and inventiveness 46 3.3 Intellectual property rights 46 3.3.1 General information on intellectual property rights and copyright 46 3.3.2 The patent 47 3.3.3 Summary 48 3.4 Analysis of the links between invention, innovation and inventive intellectual corpus 48 3.4.1 Links between industrial property rights and innovation 48 3.4.2 Links between industrial property rights and invention 49 3.4.3 Links between invention and intellectual property rights 51 3.4.4 Links between innovation and intellectual property rights 51 3.4.5 Links between invention and innovation 51 3.4.6 Links between innovation and invention 51 3.4.7 Reciprocal links of the inventive activity and the inventive intellectual corpus 51 3.5 The nature of the bridges between knowledge domains 53 3.5.1 The perspective of economists 54 3.5.2 The knowledge management perspective on innovation 54 3.5.3 The perspective of KBI (Knowledge-Based Innovation) 55 3.6 Conclusion 55 Chapter 4 Knowledge Capital and Inventive Intellectual Corpus 57 4.1 Knowledge capital and intellectual corpus 57 4.1.1 Knowledge capital 57 4.1.2 Intellectual corpus 57 4.2 Inventive intellectual corpus 64 4.2.1 Dematerialized nature of the inventive intellectual corpus 64 4.2.2 Epistemic diagram of the inventive intellectual corpus 64 4.2.3 Inventive intellectual corpus versus intangible capital 65 4.2.4 Inventive intellectual corpus and creation of inventive knowledge 65 4.2.5 Traces in the inventive intellectual corpus 68 4.3 Projection of the inventive intellectual corpus on the inventive knowledge map ® 69 4.4 Conclusion 71 Part 2 Knowledge-Based Innovation 75 Chapter 5 Innovation Dynamics and Innovation as a Mode of Innovative Problem Solving 77 5.1 Innovation dynamics 77 5.2 Using knowledge to find innovative solutions 79 5.2.1 Relationship between knowledge management and innovation within the general framework 79 5.2.2 Relationship between knowledge management and innovation within the context of research and development activities 83 5.2.3 Known knowledge management methods instrumenting innovation 83 5.3 Overview of some common methods and techniques 84 5.4 Innovation and knowledge evolution by the principle of divergence-convergence 85 5.5 Innovation and knowledge evolution by the principle of analogy 86 5.6 Innovation and knowledge evolution by the principle of expansion 87 5.7 Generalization: global problem-solving process 88 5.8 Conclusion 89 Chapter 6 Innovation in Ideation Mode 91 6.1 The concept of ideation 91 6.2 Knowledge-based innovation (KBI) field 91 6.2.1 Relationship between knowledge management and innovation 92 6.2.2 Management by the strategic capabilities portfolio 92 6.2.3 Knowledge-based innovation as a process 92 6.2.4 Two key hypotheses 93 6.2.5 Systemic evolution 94 6.2.6 Path dependency 96 6.3 Principle of emergence 97 6.3.1 Need for a new principle for creativity 97 6.3.2 Principle of emergence 98 6.4 Theoretical model of knowledge evolution (the “chaotically” inspired model of knowledge evolution by emergence) 100 6.4.1 Step 1: knowledge, a complex system 100 6.4.2 Step 2: knowledge creation, an evolution of the knowledge system 101 6.4.3 Step 3: description of knowledge evolution by another complex system 102 6.4.4 Step 4: generalization of the evolution process to any complex system evolving over time 102 6.5 Theoretical model of inventive knowledge creation (step 5) 105 6.6 Instantiation of the “chaotically” inspired model of knowledge evolution by the ICAROS ® method (step 6) 107 6.7 The purpose of ideation for innovation 110 6.8 Conclusion 110 Chapter 7 Implementation of the ICAROS ® Method: Case Study 113 7.1 Introduction to the case study 113 7.2 Funnel model 113 7.3 Presentation of the experiment context 114 7.3.1 Concept of Knowledge and Technology Areas Portfolio 115 7.3.2 Adaptation of the Knowledge and Technology Areas Portfolio concept to the company under observation: the Knowledge and Technology Areas Portfolio 117 7.4 Preliminary step: constitution of cognitive stimulus 118 7.4.1 Structuring of the intellectual corpus by knowledge domain 118 7.4.2 Development of cognitive stimulus 124 7.5 Course 130 7.5.1 Individual stimulation session 131 7.5.2 Seminar 137 7.5.3 Dissemination 147 7.6 Conclusion in the form of lessons learned 147 Part 3 Inventive Activity and Visibility of Inventive Potential 151 Chapter 8 The Inventive Potential of a Company 153 8.1 Reminder on inventive activity 153 8.2 Notion of inventive potential 154 8.3 Annual innovation and invention activity file 154 8.4 Concept of making the inventive potential visible 156 8.5 Inventive data knowledge base 158 8.6 Introduction to the activation of inventive knowledge extracted from inventive intellectual corpus 158 8.7 Conclusion 160 Chapter 9 Managerial Applications 161 9.1 Reasoned contribution to technical strategic decision-making support 161 9.2 Strategic surveillance 162 9.2.1 Introduction 162 9.2.2 The place of strategic surveillance in overall performance steering 162 9.2.3 Knowledge management and environment surveillance 165 9.2.4 Interaction between knowledge capital and its environment 166 9.2.5 Knowledge-based strategic surveillance 168 9.3 Information system on patent portfolio management 172 9.3.1 Introduction 173 9.3.2 The patent file considered as a knowledge object 173 9.3.3 Description of the patent information system 174 9.3.4 Descriptive sheet of a patent file 177 9.3.5 Presentation support for the inventor’s working file 178 9.3.6 Applications 178 9.4 Valorization of inventive activity associated with intangible assets 183 9.4.1 Limits of automated analysis of technical information contained in a patent portfolio 184 9.4.2 Limits to the quality of the drafting of patent files 186 9.4.3 Identification of the knowledge generated by the inventive activity involved in the patent 187 9.5 Publication policy 187 9.6 Determination of the inventive activity for the research tax credit 188 9.6.1 Industrial research and development 188 9.6.2 Characteristics of the research tax credit in France 189 9.6.3 Application of inventive knowledge engineering methods 191 9.7 Reasoned contribution to innovation management 195 9.8 The knowledge worker 196 9.8.1 Knowledge worker definitions 196 9.8.2 Characteristics of the knowledge worker 196 9.8.3 The knowledge worker in their relationship with the law 197 9.8.4 Knowledge Manager 199 9.9 A new profession: the inventive activity expert 202 9.10 The cognitive scientist and inventive activity expert pair 203 9.11 Need for a change in culture 203 9.11.1 Compatibility of conventional companies with the development of creativity 203 9.11.2 New knowledge-based organization 204 9.12 Conclusion 204 Part 4 Perspectives 207 Chapter 10 Knowledge Assessment Based on Knowledge 209 10.1 Introduction 209 10.2 Fundamental principles of knowledge management 212 10.2.1 The virtuous circle of knowledge management 212 10.2.2 Notion of critical knowledge 213 10.2.3 Reminder: ascent along the knowledge evolution chain 214 10.3 Reminder on the social mechanism for stimulating creativity and reflexivity 215 10.3.1 Reminder on the model of “chaotic” evolution 215 10.3.2 Instantiation of the creativity process: the ICAROS ® method 215 10.4 Transposition to the knowledge assessment field 216 10.4.1 Application of the fundamental principles of knowledge management 216 10.4.2 Application of the social mechanism of stimulation 217 10.5 Case study (2019–2020 academic year) 218 10.5.1 Context 218 10.5.2 Objectives of the action research 219 10.5.3 Preparation of the framework 219 10.5.4 Precautions taken with regard to students 221 10.5.5 Example of exercise subject terms 221 10.5.6 Analysis of the score database 224 10.5.7 Benefits of the analysis in the institution 231 10.5.8 Lessons learned and perspectives 231 10.6 Conclusion 232 Chapter 11 Towards an IKM ® : Inventive Knowledge Management 235 11.1 Introduction to the second level of the ICAROS ® method 235 11.1.1 Reminder on the first level of the ICAROS ® method 235 11.1.2 The second level of the ICAROS ® method 236 11.1.3 Notions of creativity 238 11.1.4 Contribution of creativity and inventiveness to ideation 246 11.2 Knowledge-based ideation 248 11.2.1 Introduction to the Idea according to Plato 248 11.2.2 Knowledge-based ideation and supervenience 249 11.2.3 Gestalt theory 252 11.2.4 Synthesis of knowledge-based ideation 258 11.3 Inventive profile engineering 259 11.4 Perspectives from the academic point of view 261 11.4.1 Inventive knowledge creation process as a study object in itself 261 11.4.2 Theoretical approach to knowledge by the physical sciences 261 11.4.3 Extension of the exploration to non-creativity 262 11.4.4 Reminder on the path hypothesis 262 11.5 Conclusion 263 Glossary 265 References 281 Index 295

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Book SynopsisSystems and Uses of Digital Sciences for Knowledge Organization is a large-scale scientific work that brings together researchers and R&D professionals to discuss ideas and actions in the organization of knowledge. The main objective of this book is to define collaborative strategies, use advanced technologies in multiple research fields and outline applications of knowledge organization and its cultural, education, economic and industrial potential.The organization of knowledge and advanced technologies (OCTA) asks the following questions: How can we strengthen alliances between multi-disciplinary and trans-disciplinary studies? How can we broaden our skills surrounding common objects of study? How can we innovate the solutions found and propose sustainable development to society confidently? This book is a result of intensive and collaborative work between highly respected scientific authors. The nine chapters that have been selected for this book have been peer-reviewed by the OCTA program committee, both as written submissions and when presented during the OCTA multi-conference on organization.Table of ContentsIntroduction xiSahbi SIDHOM and Amira KADDOUR Chapter 1 Multi-Agent System and Ontology to Manage Ideas and Represent Knowledge: Creativity Challenge 1Pedro Chávez BARRIOS, Davy MONTICOLO and Sahbi SIDHOM 1.1 Introduction 1 1.2 Multi-agent system (MAS) and ontology 3 1.2.1 MAS and ontology 3 1.2.2 MAS methodologies 5 1.2.3 Methodologies to design ontologies 6 1.3 MAS and ontology: our approach proposal 7 1.3.1 MAS methodology GAIA 7 1.3.2 Applying the ontology, Uschold’s ontology 8 1.4 Results 9 1.4.1 Multi-agent system results 9 1.4.2 Ontology results 13 1.5 Conclusion 16 1.6 Appendices 16 1.7 References 22 Chapter 2 Comparative Study of Educational Process Construction Supported by an Intelligent Tutoring System 27Walid BAYOUNES, Inès BAYOUDH S ADI and Hénda BEN GHÉZALA 2.1 Introduction 27 2.2 New view of educational process 28 2.2.1 Psycho-pedagogical level 30 2.2.2 Didactic level 30 2.2.3 Situational level 30 2.2.4 Online level 30 2.3 Definition framework 30 2.3.1 Didactic domain world 31 2.3.2 Instructional design world 32 2.3.3 Learning environment world 33 2.3.4 Learning situation world 34 2.4 Comparative study 34 2.4.1 Study scope 34 2.4.2 Description of systems 35 2.4.3 Specification of approaches 36 2.4.4 Study results and discussion 50 2.5 Conclusion and future works 51 2.6 References 52 Chapter 3 Multi-Criteria Decision-Making Recommender System Based on Users’ Reviews 55Mariem BRIKI, Sabrine BEN ABDRABBAH and Nahla BEN AMOR 3.1 Introduction 55 3.2 Multi-criteria decision-making 56 3.3 Basics of recommendation systems and related work 58 3.3.1 Recommender systems 58 3.3.2 Text mining-based recommendation systems 59 3.3.3 Multi-criteria recommender systems 60 3.4 New multi-criteria text-based recommendation system 62 3.4.1 Primary criterion-based recommendation system 62 3.4.2 Multi-criteria text mining-based recommendation system 66 3.5 Experimental study 67 3.5.1 Dataset and metrics 67 3.5.2 Evaluation metrics 68 3.5.3 Experimental protocol 69 3.5.4 Experimental results 70 3.6 Conclusion 71 3.7 References 72 Chapter 4 Spammer Detection Relying on Reviewer Behavior Features Under Uncertainty 75Malika BEN KHALIFA, Zied ELOUEDI and Eric LEFÈVRE 4.1 Introduction 75 4.2 Background 78 4.2.1 The belief function theory 78 4.2.2 Evidential K-nearest neighbors 80 4.3 Spammer detection relying on the reviewers’ behavioral features 81 4.3.1 Step 1: Features extraction 82 4.3.2 Step 2: Initialization and learning phase 87 4.3.3 Step 3: Distinguishing between innocent and spammer reviewers 88 4.4 Experimental study 89 4.4.1 Evaluation protocol 90 4.4.2 Results and discussion 91 4.5 Conclusion and future work 92 4.6 References 92 Chapter 5 Social Networking Application, Connections Between Visual Communication Systems and Personal Information on the Web 97Marilou KORDAHI 5.1 Introduction 97 5.2 Related published works 100 5.3 Pattern for the SignaComm, first approach 101 5.3.1 SignaComm’s context 102 5.3.2 SignaComm’s pattern 103 5.4 From text phrases to signagrams for the protection of personal data 107 5.4.1 Automatic translation 107 5.4.2 Dictionary of signagrams 109 5.5 SignaComm’s first technical test 110 5.5.1 Interface pattern 110 5.5.2 User profile pattern 111 5.5.3 Machine translation pattern 111 5.5.4 Activity pattern 113 5.6 Discussion and conclusion 113 5.7 Acknowledgment 114 5.8 References 114 Chapter 6 A New Approach of Texts and Writing Normalization for Arabic Knowledge Organization 119Hammou FADILI 6.1 Introduction 119 6.2 Motivation 120 6.3 Using a machine learning model 120 6.4 Technological elements integration 124 6.5 Corpus and dataset 126 6.6 Experiences and evaluations 127 6.6.1 Results 129 6.7 Conclusion 130 6.8 References 131 Chapter 7 Ebola Epidemic in the Congo 2018–2019: How Does Twitter Permit the Monitoring of Rumors? 137Marc TANTI 7.1 Introduction 137 7.2 Materials and methods 139 7.3 Results 143 7.3.1 Regarding the general public, the citizens 143 7.3.2 Regarding the experts 145 7.3.3 Regarding the media 146 7.3.4 Regarding the politicians 148 7.4 Conclusion 149 7.5 Acknowledgment 150 7.6 References 150 Chapter 8 From Human and Social Indexing to Automatic Indexing in the Era of Big Data and Open Data 153Nabil KHEMIRI and Sahbi SIDHOM 8.1 Introduction 153 8.2 Indexing definition 154 8.3 Manual indexing 155 8.4 Automatic indexing 156 8.4.1 Statistical indexing methods 156 8.4.2 Linguistic indexing methods 157 8.4.3 Semantic indexing 158 8.4.4 Social indexing 159 8.5 Indexing methods for Big Data and Open Data 159 8.6 Conclusion 161 8.7 References 161 Chapter 9 Strategies for the Sustainable Use of Digital Technology by the AWI in the Management of Knowledge and Cultural Communication on the “Arab World” 165Asma ABBASSI 9.1 Introduction 165 9.2 The Arab World Institute and the construction of knowledge around the “Arab World” in the West 166 9.3 The AWI’s digital communication strategies 168 9.4 The images built by the AWI and the question of feedback 176 9.5 The role of digital tools in sustainability and durability in the management of knowledge and communication at the AWI 178 9.6 Conclusion 180 9.7 References 181 List of Authors 185 Index 187

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Book SynopsisKnowledge Management as a popular management movement is about 25 years old and unsurprisingly it has inspired many theories, practices and methods. So much so, that it is sometimes difficult to define what it stands for. The Handbook of Research on Knowledge Management is an interesting and innovative volume that has appealing features to add to the discussion. It is consistently interesting, has a very wide diversity of contributing scholars and practitioners and has several useful and informative chapters on actual knowledge practices and situations. It also offers historical reflections as well as its own contingency theory of how to best go about working with knowledge. All in all this Handbook is a fine and original contribution to the literature.'- Laurence Prusak, founder and Executive Director of the Institute for Knowledge ManagementThis innovative Handbook widens our understanding of knowledge management, a field that has risen to prominence in recent decades. It collects contemporary insights from more than 30 contributors into the rich tapestry of knowledge management practices across a broad landscape of cultures and socio-political contexts. The contributors offer authoritative analyses to inform practical applications of knowledge management, along with provoking reinterpretations of its developmental potential to guide future innovation and research in this field.The starting point for discussion centers around establishing a common definition for knowledge management, a concept that has remained nebulous since its inception. Expert contributions examine the relevance of this common definition within various contexts, such as Buddhist organizations, law firms, the army and indigenous organizations. The contributors explore how knowledge management could be effectively applied in these very diverse contexts. Some contributors analyze the universality of Ikujiro Nonaka s concept of knowledge management. Other contributors suggest alternative definitions of knowledge management. While previous literature has primarily focused on how knowledge management is practiced currently, this Handbook sets out alternative visions and conceptualizations of knowledge management in diverse settings and is, thus, focused on how knowledge management ideally should be practiced in various contexts.This Handbook of Research on Knowledge Management will appeal as a point of reference for academics and students of business and management, business administration, sociology and organizational behavior. Practitioners, managers and business-owners alike will also find this an invaluable resource.Contributors: C. Abrahamson Löfström, A. Ahmad, E. Antonacopoulou, D.A. Blackman, O. Chang, D. Coldwell, D.J. Delgado-Hernández, J.S. Edwards, C. Filstad, A. Fried, T. Garavan, M. Glisby, P. Gottschalk, S. Harris, N. Holden, J. Hong, S.-W. Hsu, C. Mak, R. McDermott, D. McDowall, A. Mitra, K. Moon, E. Murphy, P.S. Myers, G. Neumann, P. Ngulube, F. O'Brien, A. Örtenblad, X. Ruan, A. Rynne, S.D Sarre, R. Snell, C. Stilwell, S. Talbot, E. Tandi Lwoga, E. Tomé, J. Van BeverenTrade Review‘I heartily recommend that those for whom the KM area is meaningful come at this volume hammer and tongs, challenge it, and make it groan. It merits that degree of respect.’ -- Management Learning‘The Handbook of Research on Knowledge Management Adaptation and Context is a good book for knowledge management researchers.’ -- Murray E Jennex, International Journal of Knowledge Management‘This knowledge management Handbook is an excellent addition to the knowledge management literature. As the Handbook is very international in its approach, it will be an excellent resource for international policy analysts wanting to know more about knowledge management and scholars and practitioners wanting to update and further extend their understanding of knowledge management in the international context.’ -- Vanessa Ratten, Thunderbird International Business Review‘Knowledge Management as a popular management movement is about 25 years old and unsurprisingly it has inspired many theories, practices and methods. So much so, that it is sometimes difficult to define what it stands for. The Handbook of Research on Knowledge Management is an interesting and innovative volume that has appealing features to add to the discussion. It is consistently interesting, has a very wide diversity of contributing scholars and practitioners and has several useful and informative chapters on actual knowledge practices and situations. It also offers historical reflections as well as its own contingency theory of how to best go about working with knowledge. All in all this Handbook is a fine and original contribution to the literature.’ -- Laurence Prusak, founder and Executive Director of the Institute for Knowledge ManagementTable of ContentsContents: Foreword John Van Beveren and Richard McDermott Preface Anders Örtenblad PART I: INTRODUCTION AND BACKGROUND 1. Introduction: Towards the Contextualization of Knowledge Management as a Research Field Anders Örtenblad 2. Previous Research on Knowledge Management in Various Contexts Anders Örtenblad 3. A Normative Model of Knowledge Management Effectiveness Paul S. Myers PART II: KNOWLEDGE MANAGEMENT IN CONTEXT Section A: Industries and Sectors 4. Knowledge Management in Law Firms Cathrine Filstad and Petter Gottschalk 5. Knowledge Management in the Police Force Cathrine Filstad and Petter Gottschalk 6. The Australian Army’s KM Strategy: A Reflexive Organisational Approach to Knowledge Capture and Sharing Denise McDowall, Anita Rynne and Steven Talbot 7. Knowledge Management in Elderly Care Carina Abrahamson Löfström 8. Cross-cultural Knowledge Management in Collaborative Aacademic Research David Coldwell and Andrea Fried 9. Knowledge Management in Energy Sector Organizations John S. Edwards 10. Knowledge Management in Logistics Industry Organizations Eduardo Tomé and Gaby Neumann 11. Knowledge Management in Small and Medium-sized Enterprises: Navigating Informality and Resource Constraints Thomas Garavan, Fergal O’Brien and Eamonn Murphy 12. Knowledge Management, Context and Public Policy: Developing an Analysis Framework Deborah A. Blackman, Katie Moon, Stephen Harris and Stephen D. Sarre Section B: Religion and National Culture 13. Islamic Perspective of Knowledge Management Aini Ahmad 14. Buddhist Perspective on Knowledge Management Otto Chang 15. Knowledge Management Case Studies in Mexico David Joaquin Delgado-Hernández 16. Knowledge Management in China’s Organizations Amit Mitra and Ximing Ruan 17. Knowledge Management and Indigenous Organizations with Special Reference to Tanzania and South Africa Edda Tandi Lwoga, Christine Stilwell and Patrick Ngulube Section C: The Universality of SECI 18. Contextualizing Nonaka’s Ttheory of Knowledge in China: When Samurai Meets Bruce Lee Jacky Hong, Robin Snell and Carry Mak 19. The Nonaka-Takeuchi Model of Knowledge Conversion: A Discussion of Many Contexts of Japanese History and Culture Nigel Holden and Martin Glisby PART III: REFLECTIONS ON KNOWLEDGE MANAGEMENT 20. On the Complexity of Knowledge Management given the Tacitness of Kknowledge in Organisations Thomas Garavan, Fergal O’Brien and Eamonn Murphy 21. Tensions and Extensions in Knowledge Integration and Dis-integration: Rethinking the Man-agement of Knowledge in Organisations Elena P. Antonacopoulou 22. Alternative Knowledge Management Shih-wei Hsu 23. Conclusions, A Contingency Mmodel of Knowledge Management and Recommendations for Further Research Anders Örtenblad Index

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