IT and information systems management Books

Book SynopsisAbout our authors Joseph S. Valacich is an Eller professor of management information systems in the Eller College of Management at the University of Arizona. He has had visiting faculty appointments at Buskerud College (Norway), City University of Hong Kong, Norwegian University of Life Sciences, Riga Technical University (Latvia), and Helsinki School of Economics and Business. He received a PhD from the University of Arizona (MIS), and an MBA and a BS degree in computer science from the University of Montana. His teaching interests include systems analysis and design, collaborative computing, project management, and management of information systems. Dr. Valacich co-chaired the national task forces to design IS 2010: The Model Curriculum and Guidelines for Undergraduate Degree Programs in Information Systems. He also served on the Executive Committee, funded by the National Science Foundation, to define the IS Program Accreditation Standards and on Table of ContentsPART 1: FOUNDATIONS FOR SYSTEMS DEVELOPMENT The Systems Development Environment The Origins of Software Managing the Information Systems Project Appendix: Object-Oriented Analysis and Design: Project Management PART 2: PLANNING Identifying and Selecting Systems Development Projects Initiating and Planning Systems Development Projects PART 3: ANALYSIS Determining System Requirements Structuring System Process Requirements Appendix 7A: Object-Oriented Analysis and Design: Use Cases Appendix 7B: Object-Oriented Analysis and Design: Activity Diagrams Appendix 7C: Business Process Modeling Structuring System Data Requirements Appendix: Object-Oriented Analysis and Design: Object Modeling—Class Diagrams PART 4: DESIGN Designing Databases Designing Forms and Reports Designing Interfaces and Dialogues Designing Distributed and Internet Systems PART 5: IMPLEMENTATION AND MAINTENANCE System Implementation Maintaining Information Systems

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Book SynopsisWhether you are building your career as a manager by taking professional qualifications or you simply want to hone your management skills this Instant Manager title, backed by the authority of the CMI, the leading UK professional body, is exactly what you need! Including a fascinating interview with Digby, Lord Jones, formerly Chief Executive of the CBI, the UK Skills Envoy and Minister of State for Trade & Investment, this is an inexpensive, concise but above all authoritative guide to getting results. Based on ten key questions, each chapter ends with a summary and action checklist to crystallise what you have learnt. The portable format allows you to carry the book wherever you go and to fit learning and development into your busy work life.Instant Manager: Working with People provides a readable and practical introduction to the subject, including: Developing working relationships with colleagues;, recruiting & selecting people; dealing with problems; bTable of Contents : Foreword : CHAPTER 01 INTRODUCTION : CHAPTER 02 HOW DO WE COMMUNICATE? : CHAPTER 03 HOW DO WE RECRUIT AND SELECT PEOPLE? : CHAPTER 04 WHY PLAN? : CHAPTER 05 HOW CAN YOU SUPPORT YOUR TEAM? : CHAPTER 06 WHAT LEARNING OPPORTUNITIES ARE AVAILABLE? : CHAPTER 07 HOW CAN WE SOLVE PROBLEMS SUCCESSFULLY? : CHAPTER 08 WHAT ABOUT MEETINGS? : CHAPTER 09 HOW CAN WE HELP PEOPLE TO DEVELOP? : CHAPTER 10 WHAT ARE THE BEST WAYS TO SOLVE DISPUTES? : CHAPTER 11 HOW CAN WE COLLABORATE EFFECTIVELY? : CHAPTER 12 THE COMPANION INTERVIEW:SIR DIGBY JONES ON [DETAIL TO FOLLOW] : CONCLUSION : NATIONAL OCCUPATIONAL STANDARDS : FURTHER INFORMATION AND READING

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Book SynopsisTaking a unique approach to systems analysis and design, this insightful book provides learners with a critical personal framework for considering and developing knowledge and practice of systems analysis and design. Each chapter begins by highlighting what can be learned on its completion and ends with a critical skills development section containing activities, tasks and discussion questions. Chapters cover:* systems analysis and design in concept and action* structured data modelling* making systems analysis and design inclusive.Although the discussion and examples in this text are drawn primarily from business information systems, the lessons apply to both government and healthcare information systems and to systems development in general.Critical Systems Analysis and Design makes a complex area of study accessible and relevant and as such is an indispensable textbook for both advanced students and professionals concerned with the innovatTrade ReviewPatel’s clear but critical treatment of traditional methodologies is thought-provoking and effective…providing a powerful framework for reflective examination of many cherished preconceptions and beliefs. - Dr Jon Dron, University of BrightonTable of ContentsPart 1: Foundations for Critical Learning and Teaching 1. The PAC Cycle 2. Critical Knowledge and Practice Framework Part 2: IS, Projects and Application Domains 3: Systems Analysis and Design in Concept and Action 4. System Project Management 5. System Analyst Part 3. System Analysis 6. Requirements: The system to be (or not) 7. Structured Data Modelling 8. Structured Process Modelling 9. Object Modelling Part 4: System Design 10. Interface, Input and Output Design 11. System Design Part 5: Criticality, Paradigms and IS Development 12. Social Action 13. Critical Reflection 14. Ways of Thinking and Acting Part 6: The Future of IS Development 15. Making Systems Analysis and Design Inclusive

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Book SynopsisBelonging to the realm of intelligent technologies, it is increasingly accepted that artificial intelligence (AI) has evolved from being merely a development standpoint in computer science. Indeed, recent reports and academic publications show that we are clearly on the path toward pervasive AI in both business and society. Organizations must adopt AI to maintain a competitive advantage and explore opportunities for unprecedented innovation. This book focuses on understanding the wide range of opportunities as well as the spectrum of challenges AI brings in different business contexts and society at large. The book highlights novel and high-quality research in data science and business analytics and examines the current and future impact of AI in business and society. The authors bridge the gap between business and technical perspectives and demonstrate the potential (and actual) impact on society. Embracing applied, qualitative, and quantitative research as well as field expTable of ContentsIntroductionDavide La Torre, Francesco Paolo Appio, Hatem Masri, Francesca Lazzeri, and Francesco SchiavonePART 1: Artificial intelligence: technological advancements and methodologies1. Artificial and machine learning: Definitions and applicationsCinzia Colapinto, Riadh Ksantini, Davide La Torre, Hatem Masri, and Marco Repetto2. Adopting machine learning and AI for data-drive decisionsFrancesca Lazzeri3. Neural networks and deep learningChiara Galimberti and Marco Repetto PART 2: Artificial intelligence in business: opportunities and challenges4. Artificial Intelligence in Human Resource Management: Objectives and ImplicationsAizhan Tursunbayeva, Alessia Berni, and Luigi Moschera 5. Methodology for evaluating the appropriateness of a business process for robotic process automationLars Berghuis, Abhishta Abhishta, Wouter van Heeswijk, and Aizhan Tursunbayeva6. Startups and Artificial Intelligence: Insights from ItalyFabio Greco and Irene Di Bernardo7. Integrating AI to blockchain and cryptocurrency: A case studyMohamed Bechir ChenguelPART 3: The societal impact of artificial intelligence8. AI human capital, jobs and skillsLea Samek and Mariagrazia Squicciarini9. AI for Sustainability: A Dangerous Fantasy or an Unfulfilled PotentialLuis I. Prádanos and Daniela Inclezan10. AI-based technologies in the phygital care journeyMarialuisa Marzullo, Irene Di Bernardo, Tiziana Russo Spena, and Cristina Mele11. AI technologies and hospital blood delivery in peripheral regions: Insights from Zipline internationalValentina Cucino and Giulio Ferrigno12. Improving Healthcare by designing AI-human-centered systemsFrancesco Schiavone, Gaetano Cafiero, and Michela De RosaIndex

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Book Synopsis How to transfer your organization’s most important knowledge—before it walks out the doorWhen highly skilled subject matter experts, engineers, and managers leave their organizations, they take with them years of hard-earned, experience-based knowledge—much of it undocumented and irreplaceable. Organizations can thereby lose a good part of their competitive advantage. The tsunami of “boomer” retirements has created the most visible, urgent need to transfer such knowledge to the next generation. But there is also an ongoing torrent of acquisitions, layoffs, and successions—not to mention commonplace promotions and transfers—all of which involve the loss of essential expertise.Dorothy Leonard and Walter Swap first addressed this acute loss of knowledge in their groundbreaking book Deep Smarts (2005). Since then, managers have repeatedly asked them for practical, proven techniques that will help transfer those deep smTrade Review"In today's workplace, knowledge is power--but only if you can capture, preserve, share, and use it. That's where Critical Knowledge Transfer: Tools for Managing Your Company's Deep Smarts comes in. This book is highly useful for anyone concerned with the loss of organizational knowledge and the costs associated with it." -- TD magazine (Association for Talent Development) ADVANCE PRAISE for Critical Knowledge Transfer: Teresa Roche, Vice President and Chief Learning Officer, Agilent Technologies-- "An outstanding and comprehensive field guide for anyone who really cares about talent in his or her organization. Leonard, Swap, and Barton outline the foundations of knowledge transfer and provide practical applications to help you reflect thoughtfully and act effectively on critical knowledge transfer issues. A pragmatic and compelling book." T.J. Elliott, Vice President and Chief Learning Officer, ETS-- "When those in our organizations with 'deep smarts' leave, taking their knowledge with them, what do we do? The techniques in this book, with their insightful specificity and proven practicality, will benefit the leader who wishes to solve this critical dilemma." Richard Gross, Vice President, Learning and Development, Cargill, Inc.-- "Critical Knowledge Transfer provides a thought-provoking, comprehensive, and practical guide for transferring critical, experience-based knowledge. I highly recommend it for business and HR leaders alike." Steve Phillips, Chief Information Officer, Avnet, Inc.-- "With the speed of business today, companies can't afford to lose the deep, experience-based knowledge of departing employees and leaders. Critical Knowledge Transfer provides profound insight into this challenge, along with concrete tools, techniques, and examples that businesses can apply immediately to prevent this hard-won knowledge from walking out the door forever."

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Book SynopsisIf you're an information security professional today, you are being forced to address growing cyber security threats and ever-evolving compliance requirements, while dealing with stagnant and decreasing budgets. The Frugal CISO: Using Innovation and Smart Approaches to Maximize Your Security Posture describes techniques you can immediately put to use to run an effective and efficient information-security management program in today's cost-cutting environment.The book outlines a strategy for managing the information security function in a manner that optimizes cost efficiency and results. This strategy is designed to work across a wide variety of business sectors and economic conditions and focuses on producing long-term results through investment in people and technology.The text illustrates real-world perspectives that reflect the day-to-day issues that you face in running an enterprise's security operations. Focused on managing information sTable of ContentsNew Normal. Information Security Maturity Life Cycle. Reducing Complexity. Frugal Hiring. Frugal Team Management. Managing External Parties Effectively. Security Awareness: Fluff or Strategic Investment? Information Security Policies and Procedures. Is This Necessary? Understand the Budgeting Cycle. Using the Goldilocks Principle. The Hybrid (Frugal) CISO. Frugality as a Continuing Strategy for Information Security Management.

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Book SynopsisSAP's integration technologies are now combinedbut what is SAP Integration Suite, and how do you use it to manage an integrated enterprise landscape? In this book, get the answers to these questions and more as you take a tour of the new suite. Then get step-by-step instructions for using key capabilities such as prepackaged integrations, open APIs, integration scenarios, the Integration Advisor, and more. Master the complete integration suite!In this book, you'll learn about:a. The Integration LandscapeDiscover SAP's new approach to integration. See how the SAP Integration Suite encompasses a series of integration technologies, including the architecture and complimentary intelligent technologies. b. Key Capabilities Learn about services like SAP API Business Hub for pre-packaged accelerators, the cloud integration service for application integration, the integration advisor for automated integration, and SAP Event Mesh for event-driven integration. c. Integration Scenarios Use inte

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Book SynopsisDr Nick Milton is a director and co-founder of Knoco Ltd, an international knowledge management consultancy. He previously worked at BP, coordinating the BP Knowledge Management Community of Practice, and was a member of the working group for the development of ISO 30401:2018. Patrick Lambe is a founding partner of Straits Knowledge, a global consulting and research firm specializing in knowledge, learning and innovation. He is a Visiting Professor in knowledge management at Bangkok University, President of the International Society for Knowledge Development Singapore chapter and an editorial board member of the Journal of Knowledge Management.Table of Contents Chapter - 00: Introduction; Section - ONE: Orientation to knowledge management implementation; Chapter - 01: What is knowledge management?; Chapter - 02: The stages of KM implementation; Chapter - 03: Barriers and pitfalls; Section - TWO: Preparation and resources; Chapter - 04: Knowledge management strategy; Chapter - 05: The role, skills and characteristics of the knowledge management leader; Chapter - 06: The KM team members; Chapter - 07: The role of senior management; Chapter - 08: Budget and timescale; Chapter - 09: Aims and objectives for the KM implementation programme; Chapter - 10: Finding partners to help you; Section - THREE: Assessment and planning; Chapter - 11: Conducting the knowledge resources audit; Chapter - 12: The knowledge management framework; Chapter - 13: The knowledge discussion elements of the KM framework; Chapter - 14: The knowledge capture and documentation elements of the KM framework; Chapter - 15: The knowledge synthesis elements of the KM framework; Chapter - 16: The knowledge-finding and re-use elements of the KM framework; Chapter - 17: Knowledge organization; Chapter - 18: Influencing the stakeholders; Chapter - 19: Culture, communications and change; Chapter - 20: Preparing the KM implementation plan; Section - FOUR: The implementation activity; Chapter - 21: Building the KM champion network; Chapter - 22: Trials and pilots; Chapter - 23: Roll-out, embedding and governance; Chapter - 24: Setting up the KM metrics and reporting system; Chapter - 25: Dealing with bumps in the road; Chapter - 26: Transition to the operational team; Section - FIVE: Deepening and extending your KM programme; Chapter - 27: Working with external frameworks and standards; Chapter - 28: Working externally; Chapter - 29: Knowledge management and digital transformation; Section - SIX: Case histories; Chapter - 30: Implementing KM at Mars; Chapter - 31: NASA – emergence, evolution and resilience of a KM programme; Chapter - 32: Using the ISO KM standard 30401:2018 to sense-check KM at Petroleum Development Oman; Chapter - 33: KM implementation in a global oil and gas company; Chapter - 34: KM implementation at Huawei; Chapter - 35: KM implementation at the Singapore Youth Olympics; Chapter - 36: Implementing and sustaining KM in the Public Works Department Malaysia; Chapter - 37: Summary; Chapter - 38: Glossary; Chapter - 39: Index

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Book SynopsisShaofeng Liu is Professor of Operations Management and Decision Making at Plymouth Business School, University of Plymouth, UK. She teaches a Knowledge Management module every year to postgraduate students across several courses in the Faculty of Business. She is Senior Editor for Cogent Business & Management and Associate Editor for the International Journal of Decision Support System Technology and has published over 150 research papers in peer-reviewed books, journals and conference proceedings.Trade Review"The book offers a rich approach to Knowledge Management focusing on knowledge sharing and learning crossing boundaries. It also discusses how to implement KM for supporting business decision making in the context of supply chain wide and globalization. All readers from students to practitioners will find in the book precious resources integrating the latest state-of-the-art research results." * Professor Isabelle Linden, University of Namur, Belgium *""I have been teaching Knowledge Management for many years but it was difficult to find a single book that focuses entirely on KM I could recommend to my students. Instead, I have always relied on several books which may be financially challenging for students to buy all. However, this book focuses entirely on topics of Knowledge Management and so is like a 'one stop source' for my module. It covers all the key topics on my (and most typical) KM module learning outcomes. The writing style of the book is excellent. It is clear and easy to follow." * Dr Festus Oderanti, Senior Lecturer in Information Systems & Program Leader for MSc Project Management, Hertfordshire Business School, University of Hertfordshire, UK *"A must-read contemporary Knowledge Management book, suitable for all KM practitioners, researchers and students. It intertwines precisely knowledge management in the fields of business, organizations, human decision-making, knowledge networks, information systems and technology, decision support systems and big data analytics." * Professor Boris Delibasic, University of Belgrade, Serbia *"The book has many distinctive features, including an interdisciplinary approach by knitting together knowledge management and other neighbouring disciplines, treating knowledge management as a key ingredient to building business intelligence systems. I like the in-depth discussion of the impact of ICT technologies such as big-data analytics and Internet of Things on knowledge management. A book providing such an overall view of the discipline does a great service to all stakeholders in the field. I recommend it to all students, researchers and practitioners interested in knowledge management and business intelligence systems." * Professor Sean Eom, Southeast Missouri State University, USA *"This book is really awesome and gives a strong basis for Knowledge Management." * Professor Pascale Zarate, Editor-in-Chief for International Journal of Decision Support System Technology (IJDSST), University of Toulouse, France *"This textbook contains resourceful material on understanding knowledge management, knowledge classification, knowledge management processes and the application of knowledge management. The learning approach adopted has a fine blend of theoretical concepts and case studies. I will recommend this textbook to higher level of undergraduate and postgraduate students." * Femi Olan, Senior Lecturer in Business Information Management, Newcastle Business School, Northumbria University *Table of Contents Section - ONE: Knowledge management – Key concepts and models; Chapter - 01: Introduction to knowledge management; Chapter - 02: Tacit and explicit knowledge; Chapter - 03: Knowledge management process and lifecycle models; Section - TWO: Building knowledge competence in organizations; Chapter - 04: Organizational learning; Chapter - 05: The learning organization; Chapter - 06: Organizational culture for knowledge sharing and learning; Section - THREE: Crossing knowledge boundaries; Chapter - 07: Communities of practice; Chapter - 08: Knowledge boundaries and boundary-spanning mechanisms; Chapter - 09: Knowledge networks; Chapter - 10: ICT-enabled knowledge management - Internet of Things and big data analytics; Section - FOUR: Knowledge support for business decision making; Chapter - 11: The business decision context; Chapter - 12: Human decision-making processes and knowledge requirements; Chapter - 13: Knowledge-based decision support systems

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Book SynopsisThis book presents new evidence concerning the influential role of context and institutions on the relations between knowledge, innovation, clusters and learning.From a truly international perspective, the expert contributors capture the most interesting and relevant aspects of knowledge economy.Trade ReviewThis book's chapters provide a versatile collection of case studies that raise important and interesting questions. . . The book introduces novel perspectives and indicates new approaches to understanding the modern economy and the role of knowledge in the ever-changing market process. It is thought provoking and even enlightening, and provides an interesting basis for further research to support entrepreneurship and public policy. --Journal of Entrepreneurship and Public PolicyTable of ContentsContents: 1. Developments in the Analysis of the Knowledge Economy: Introductory Comments Knut Ingar Westeren PART I: THEORETICAL CONSIDERATIONS 2. The Changing Role of Knowledge in the Knowledge Economy: Concepts of Knowledge and Knowledge Management Hans Siggaard Jensen 3. Growth of the Knowledge-based Economy in a Two-person Non-cooperative Game Hanas A. Cader and John C. Leatherman PART II: INNOVATION 4. Innovation: From Schumpeter to the Knowledge Economy Knut Ingar Westeren 5. Star Scientists and Regional Knowledge Transfer Michaela Trippl and Gunther Maier 6. Firm Productivity in Innovative Urban Milieus Frank G. van Oort and Otto Raspe 7. Not Being There: Why Local Innovation is Not (Always) Related to Local Factors Richard Shearmur 8. Innovation and Creative Leadership in Local Government Jan Ole Vanebo and Alex Murdock PART III: LEARNING AND SKILLS 9. How to Improve the Region’s Ability to Learn: A Micro-level Model on Regional Actor's Knowledge and (Informal) Learning Processes Manfred Walser and Roland Scherer 10. Managing the New Knowledge Workers Kjell-Åge Gotvassli 11. What Drives Skill-biased Regional Employment Growth in West Germany? Alexander Cordes PART IV: CLUSTERS AND PRODUCTIVITY 12. Clusters and Cluster Development in the Knowledge Economy Andreas P. Cornett 13. International Virtual Industry Clusters and SMEs: Early Process Policy Recommendations Meir Russ and Jeannette K. Jones 14. The Knowledge, Learning and Innovation Process: A Poultry Cluster in the Western Region of the State of Parana, Brazil Jefferson Andronio Ramundo Staduto, Knut Ingar Westeren and Clarissa Pereira Junqueira Index

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Book SynopsisThis comprehensive yet concise Handbook provides an overview of innovative approaches to, and new perspectives on, the study of creativity.Trade Review‘This scholarly and important volume has an impressive interdisciplinary and international scope. We hear from psychologists, sociologists, philosophers, legal scholars, and economists. These refreshing chapters broaden our understanding of human innovation, contributing to a developing sociocultural approach to the study of creativity. These chapters directly challenge the myth of solitary genius, by documenting the social and cultural systems within which new ideas emerge.’ -- Keith Sawyer, Washington University in St Louis, US‘This penetrating volume both summarizes compellingly what we know about creativity and examines critically loose concepts of creativity, cases where creativity does harm, and deceptive hype about creativity. This volume neither romanticizes creativity nor reduces it to the servant of economic and cultural development, offering instead a differentiated and penetrating examination of the nature of creativity and its diverse positive and sometimes negative roles.’ -- David Perkins, Harvard University Graduate School of Education, USTable of ContentsContents: Preface Introduction to the Chapters Janet Chan and Kerry Thomas PART I: RESEARCH ON CREATIVITY 1. Researching Creativity and Creativity Research Janet Chan 2. Sources and Conditions of Scientific Creativity Søren Harnow Klausen 3. Presences and Absences: A Critical Analysis of Recent Research About Creativity in Visual Arts Education Enid Zimmerman PART II: WAYS OF CONCEPTUALIZING AND ASSESSING CREATIVITY 4. What is a Creative Idea? Little-c versus Big-C Creativity Dean Keith Simonton 5. Creativity as a System in Action Philip McIntyre 6. Marxism and Creativity Jim McGuigan 7. Creativity as Designer Capitalism: Deleuze|Guattarian Interventions jan jagodzinski 8. Playing to the Gallery: Myth, Method and Complexity in the Creative Process Chris Bilton 9. Attributing Creativity in Science and Engineering: The Discourses of Discovery, Invention and Breakthrough David Philip Miller 10. For a Critical Creativity: The Radical Imagination of Cornelius Castoriadis Christian De Cock, Alf Rehn and David Berry 11. Creativity in Schools: Delusions, Realities and Challenges John Steers 12. The Lived Experience of a Contemporary Creative Identification Stephanie Taylor 13. Understanding Malevolent Creativity David H. Cropley, James C. Kaufman and Arthur J. Cropley 14. Rating the Creativity of Products David H. Cropley and James C. Kaufman 15. Issues in Conceptions of Creativity and Creativity Assessment in Music Education Pamela Burnard and Anne Power 16. From ‘National Creativity’ to Social Recognition and Success in the Visual Arts: A Sociological Perspective on Rankings of the ‘Top 100 Artists in the World’ Alain Quemin PART III: THE CREATIVE PROCESS 17. Creative Thinking: Processes, Strategies and Knowledge Michael D. Mumford, Vincent Giorgini, Carter Gibson and Jensen Mecca 18. Time and the Composition: Creativity in Modern and Contemporary Works of Art Terry Smith 19. Experimental Research in the Digital Media Arts Tim Barker 20. The Chances of Chance – Challenging Creativity by Chance and Collaboration Karlheinz Essl 21. The Role of Inhibition and Perception in Artistic Creativity: A Cognitive Explanation Emery Schubert PART IV: PRACTICES OF CREATIVITY 22. The Ontology of Creative Performance and the Aesthetics of Design Neil C.M. Brown 23. How to Start an Art Centre Vivien Johnson 24. The ‘Illusio’ of the Creative Life: Case Studies of Emerging Artists Kerry Thomas 25. Making a Living from Creativity: Careers, Employment and Work in the Creative Industries Doris Ruth Eikhof 26. Authorship and Collaborative Creativity in New Media Art Roanna Gonsalves and Janet Chan 27. Dochaku: Artistic Evolution at the Confluence of Cultures Toshiko Oiyama 28. Re-creating Performance Art: The Rise of Re-enactment Edward Scheer PART V: CONDITIONS FOR CREATIVITY 29. Creative Encounters and Collaborative Agency in Science, Technology and Innovation Reijo Miettinen 30. What’s Stopping Us? Barriers to Creativity and Innovation in Schooling Across Europe Shakuntala Banaji, Sue Cranmer and Carlo Perrotta 31. Copyright as an Incentive System for Creativity? The Case of Contemporary Visual Arts Nobuko Kawashima PART VI: LEADING/MANAGING CREATIVITY 32. European Cultural Policies and the ‘Creative Industries’ Turn Pierre-Michel Menger 33. How to Get the Most Creativity and Innovation Out of Groups and Teams Paul B. Paulus and Runa Korde 34. Creativity in R&D Sven Hemlin, Lisa Olsson and Leif Denti 35. Leading Science: The Role of Research Leaders in Scientific Creativity Janet Chan Index

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Book SynopsisThis important book considers the ways in which small and medium-sized enterprises (SMEs) can thrive in the age of big data. To address this central issue from multiple viewpoints, the editors introduce a collection of experiences, insights, and guidelines from a variety of expert researchers, each of whom provides a piece to solve this puzzle.Trade Review‘This is a very timely book. SMEs with limited resources have to understand the power of big data and ensure that they are not left behind by the large platforms. This book is insightful and rigorous. It features multiple perspectives and guidelines provided by a group of excellent experts. It’s a very valuable guide for practitioners and a great teaching resource for faculty and students.’ -- Markus Reihlen, Former Vice President, Professor of Strategic Management, and Principle Investigator of the Digital Entrepreneurship Project, Leuphana University of Lüneburg, Germany‘Creating actual digital innovation roadmaps for SMEs based on big data beyond the hype of the words is of great value. I welcome this contribution to increasing competitiveness for SMEs through data, digital competencies, and innovative solutions that increase companies’ insight into customers' needs and challenges.’ -- Per B. Brockhoff, Professor, Head of Department, M.Sc., Ph.D., R, Technical University of Denmark'I have often seen how data is given too little attention when companies undertake digitalization efforts. That is a shame, since access to high quality data is like having a superpower, and this superpower is accessible to any business that is willing to do the work. Good to see a book that focuses on the opportunities for small and medium-sized businesses!' -- Pernille Erenbjerg, Board Member at Genmab, Nordea, Nordic Entertainment Group and Millicom, Denmark'The importance of big data competence cannot be overstated, and should not be out of the reach of smaller firms. Small and medium-sized enterprises should be able to increase their success by building big data capabilities and creating data-driven growth. This book shows how smaller firms have developed big data competence and digitization capability, implemented artificial intelligence techniques, and identified customer growth potential through customer insight analysis. The authors provide realistic guidance for implementation using real-life successful examples. In sum, this book provides a roadmap to small and medium-size enterprises that wish to facilitate their adoption of big data capabilities and become fully digitally enabled.' -- C. Anthony Di Benedetto, Fox School of Business, Temple University, US'I congratulate the authors for focusing on how small and medium-sized businesses can make the most of big data based small investments and fast experimentation for quick wins. Agility is key, and this excellent book exactly shows how SMEs can move fast - to win fast - in the data space.' -- Wolfgang Ulaga, Senior Affiliate Professor of Marketing at INSEAD & Director of the Marketing & Sales Excellence Initiative (MSEI), France'Through my active involvement in SMEs, I see the struggles and the successes of SMEs' data utilization journeys. I very much hope that this book will inspire many executives on how to successfully engage in data-driven business development.' -- Jan Damsgaard, Professor of Digitalization, Copenhagen Business School and Board member at SME Denmark & National Digital Expert Advisor, DenmarkTable of ContentsContents: Introduction 1 Carsten Lund Pedersen, Adam Lindgreen, Thomas Ritter and Torsten Ringberg PART I FOUNDATIONS: GETTING THE BASICS RIGHT 1 Building small business utopia: how artificial intelligence and Big Data can increase small business success 11 Karen G. Mills and Annie V. Dang 2 GDPR compliant processing of big data in small business 27 Jan Trzaskowski 3 Big Data and SMEs 40 Vania Sena and Sena Ozdemir PART II CAPABILITIES: GETTING DIGITIZATION RIGHT 4 Value-creation for Industry 4.0 and SMEs’ data-driven growth: strategies and resource alignment 64 Bieke Struyf, Wouter Van Bockhaven and Paul Matthyssens 5 Analyzing and developing digitization capabilities for data-driven projects in SMEs 104 Carsten Lund Pedersen and Thomas Ritter 6 How a glass-processing SME developed its big data competence 117 Joel Mero, Heikki Karjaluoto and Tanja Tammisalo 7 Big data in and for small business: data excellence in SMEs through engagement in university partnerships 129 Shirley Y. Coleman PART III FUNCTIONS: GETTING ALL BUSINESS AREAS INTO BIG DATA MODE 8 Capitalizing on human capital analytics in small and medium-sized enterprises 146 Frederikke Amalie La Cour Nygaard and Dana Minbaeva 9 How experimental data can optimize e-learning 164 Camilla Nellemann and Torben Pedersen 10 How do big data impact business market relationships? 174 Poul Houman Andersen 11 Revenue blueprinting: identifying growth potential using customer data and customer insights 193 Henrik Andersen and Thomas Ritter PART IV TRANSFORMATIONS: GETTING THERE THE RIGHT WAY 12 Transforming small and medium-sized enterprises (SMEs) to digitally enabled landscapes 211 Bård Tronvoll, Christian Kowalkowski and David Sörhammar 13 Facilitating big data transformation in Danish SMEs: insights for managers 228 Pernille Rydén and Helle Rootzén Index

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Book SynopsisThis comprehensive and engaging Research Handbook provides a full examination of the modes and mechanisms of international knowledge transfer. Furthermore, it also provides in-depth insights into international knowledge transfer related challenges faced by multinational enterprises (MNEs).Trade Review‘This book addresses the all important topic of international knowledge transfer, which is especially salient in the era of globalization and digital platforms. Novel technologies are giving new impetus to knowledge transfer. The volume addresses contemporary firms in the knowledge economy, and offers a truly global perspective from a cadre of recognized scholars from around the world.’ -- Gary Knight, Willamette University, US‘Now more than ever, success in the global economy requires in depth understanding of cross-border knowledge transfer, including the skills and competencies that make a successful transfer possible. This Handbook is an invaluable guide for the scholars and practitioners who stand in the frontline of this challenge.’ -- Oded Shenkar, The Ohio State University, US‘Khan, Nair and Lew manage to bring together a captivating set of contributions on knowledge transfer in the international business context. The Research Handbook is nicely organised around strategic dimensions, societal and human resource dimensions and finishes off with chapters on subsidiary knowledge creation and development. This book offers a systematic and contemporary account of the state of art knowledge on knowledge transfer.’ -- Rudolf R. Sinkovics, The University of Auckland, New Zealand and LUT University, Finland‘Cross border knowledge transfer is becoming vital for firms to develop competitive advantage. This Research Handbook on Knowledge Transfer and International Business provides a comprehensive account of cross-border knowledge transfer modes and mechanisms and the role of multinational enterprises in the transfer of knowledge. This book is an essential reading for researchers in knowledge transfer and competitive advantage.’ -- Pervez Ghauri, University of Birmingham, UKTable of ContentsContents: List of contributors vii Introduction to Research Handbook on Knowledge Transfer and International Business xiii PART I STRATEGIC PERSPECTIVE OF KNOWLEDGE TRANSFER 1. Intra-firm trade, embeddedness and international knowledge transfer in the multinational enterprise 2 Nigel Driffield, James H. Love and Stefano Menghinello 2. Knowledge transfer and absorptive capacity in the context of a small multinational enterprise: a systematic study of the nexus of relationships 26 Jan-Tore Øian, Olli Kuivalainen and Heini Vanninen 3. Reverse knowledge transfer in multinational companies: evidence from Swiss manufacturing industry 48 Lamia Ben Hamida 4. Intellectual property institutions and innovation of emerging multinational companies 62 Jie Wu PART II SOCIETAL AND HUMAN RESOURCE PERSPECTIVE OF KNOWLEDGE TRANSFER 5. Social media as a knowledge transfer tool for intellectual capital accumulation during the international growth of small firms 84 Matti Saari, Minnie Kontkanen, Ahmad Arslan and Pia Hurmelinna-Laukkanen 6. Knowledge exchange within multi-stakeholder initiatives: tackling the Sustainable Development Goals 108 Jerra Veeger and Michelle Westermann-Behaylo 7. Global talent mobility and knowledge diffusion: the role of staffing agencies in the growth of East Asian high-tech multinational corporations 136 Mayumi Tabata PART III SUBSIDIARY KNOWLEDGE CREATION AND DEVELOPMENT 8. Technological overlap and cultural distance in MNCs’ location choice of technological clusters in China 159 Shuna Shu Ham Ho and Chang Hoon Oh 9. Building ambidextrous capabilities in foreign subsidiaries: evidence from Korean multinationals 177 Jae Eun Lee, Byung Il Park and Yong Kyu Lew 10. Utilization of subsidiary knowledge in multinational enterprises: revisiting the SECI model 195 Jong Min Lee 11. Absorptive capacity, value creation and new service development in multinational enterprises: the role of knowledge flows between customers, subsidiaries and headquarters 210 Tiina Leposky, Ahmad Arslan, Ismail Gölgeci and Deborah Callaghan Index 226

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Book SynopsisCapitalise on big data to add value to your small business Written by bestselling author and big data expert Bernard Marr, Big Data For Small Business For Dummies helps you understand what big data actually is and how you can analyse and use it to improve your business.Table of ContentsIntroduction 1 Part I: Getting Started with Big Data Basics 5 Chapter 1: Introducing Big Data for Small Businesses 7 Chapter 2: Digging into the Essence of Big Data 23 Chapter 3: Identifying Big Data Uses in Small Businesses 39 Part II: Unpacking Big Data 53 Chapter 4: Unpacking the Many Types of Data 55 Chapter 5: Discovering New Forms of Data 69 Chapter 6: Understanding the Technology Changes that Underpin Big Data 87 Part III: A Brave New World for Small Business 101 Chapter 7: Focusing on the Value of Insights 103 Chapter 8: Developing and Accessing Big Data Competencies 115 Chapter 9: Building a Big Data Infrastructure 131 Part IV: Show Time! Making Big Data Work for Small Business 149 Chapter 10: Creating a Big Data Strategy 151 Chapter 11: Applying Data in Your Business: Decision Making 163 Chapter 12: Applying Data in Your Business: Operations 185 Chapter 13: Creating a Big Data Culture in Your Business 199 Part V: The Part of Tens 211 Chapter 14: Ten Biggest Big Data Mistakes to Avoid 213 Chapter 15: Ten Free Big Data Sources 219 Chapter 16: Ten Key Big Data Collection Tools 225 Index 231

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Book SynopsisA step-by-step guide for business leaders who need to manage successful big data projects Leading in Analytics: The Critical Tasks for Executives to Master in the Age of Big Data takes you through the entire process of guiding an analytics initiative from inception to execution. You'll learn which aspects of the project to pay attention to, the right questions to ask, and how to keep the project team focused on its mission to produce relevant and valuable project. As an executive, you can't control every aspect of the process. But if you focus on high-impact factors that you can control, you can ensure an effective outcome. This book describes those factors and offers practical insight on how to get them right. Drawn from best-practice research in the field of analytics, the Manageable Tasks described in this book are specific to the goal of implementing big data tools at an enterprise level. A dream team of analytics and business experts have contributed their knowledge to show you how to choose the right business problem to address, put together the right team, gather the right data, select the right tools, and execute your strategic plan to produce an actionable result. Become an analytics-savvy executive with this valuable book. Ensure the success of analytics initiatives, maximize ROI, and draw value from big dataLearn to define success and failure in analytics and big data projectsSet your organization up for analytics success by identifying problems that have big data solutionsBring together the people, the tools, and the strategies that are right for the jobBy learning to pay attention to critical tasks in every analytics project, non-technical executives and strategic planners can guide their organizations to measurable results.Table of ContentsForeword by Dr. Tim Rahschulte xi Acknowledgments xv Introduction: The Last Analytics Mile 1 The Last Mile to Analytics Success 1 Expert Contributors 4 Task 0 Analytics Leadership 11 Knowledge Begins in Failure 12 From Failure to Success 17 The Seven Tasks for Analytics Success 22 Chapter Summary and Exercises 24 Task 1 The Problem 27 Solve the Right Problem 28 The DAD Framework for Analytics Action 28 Finding Valuable Problems to Solve 39 The Problem Statement 45 Checking for Project Viability 50 Prioritizing Viable Projects 52 Chapter Summary and Exercises 54 Task 2 The Team 61 Building a Winning Analytics Team 62 Building and Managing Your Team 73 Managing the Technical Team 81 Engaging Your Team 86 Chapter Summary and Exercises 89 Task 3 The Data 91 Amorphous Asset 92 Understanding Data’s Value 92 Identifying Valuable Data 97 Harnessing Data’s Value 101 A Few Vs to Enhance Value 107 Quality Data 114 Chapter Summary and Exercises 121 Task 4 The Tools 125 Analytics Mindset 126 Executives’ Role in Tools 127 Categories of Analytics 131 Predictive Analytics Tools 146 Prescriptive Analytics Tools 151 Tool Synergies 155 Limits of Analytics Tools 157 Chapter Summary and Exercises 158 Task 5 Execution 161 Execute = Action 162 Process 163 People 177 Problems 186 Chapter Summary and Exercises 189 Task 6 Analytics Maturity 191 Defining Analytics Maturity 192 Visualizing Analytics Maturity 194 Growing Analytics Maturity 210 Tools for Maturity 218 Chapter Summary and Exercises 225 Task 7 Responsible Analytics 227 Our Analytics Responsibility 228 Analytics Discernment 229 INFORMS Ethical Guidelines 232 Analytics for Good 241 Being Responsible for Our Analytics Future 248 Chapter Summary and Exercises 261 Conclusion: Crossing the Last Mile 265 We Must Cross It Together 265 Additional Learning Opportunities 268 Lasting Principles for Success 269 Afterword: Dr. Karl Kempf’s Legacy 271 Pioneering Analytics with Formula One Racing 271 Teaching Superman to Fly 273 Automating Aerospace Manufacturing 273 Making Better Decisions at Intel 273 Author’s Tribute 274 About the Author 275 Why Read Leading in Analytics 277 Author Index 279 Subject Index 283

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Book SynopsisEquip yourself with tools to approach digital transformation within your organization successfully. Today, over 80% of digital transformation engagements fail to reach their objectives (as reported through a survey by Couchbase). The challenge to overcome is that the pace of change in digital has left business users falling behind. Geared towards non-technical professionals, this book seeks to get executives on track to lead this innovation wave. Data as the prime lever in this innovation wave has accelerated the pace of change from earlier innovation waves by 25 years. Companies are finding it hard to adapt as their internal processes do not allow such rapid changes. Companies are stuck with outdated tools to manage DX projects. This leads to outsourcing the responsibility for DX to IT teams and outside system developers and causing great problems.Toolsets from data visualization, simulated prototyping, video editing and Whiteboarding will be introduced and simplified to show you caTable of Contents1. Introduction 2. Digital Transformation and Big Data3. Visual Style and Prototyping Tools 4. The Problem with DX Engagements Today 5. Introduction to data Mining and Algorithms6. Managing the Technology Deluge7. Introduction to No Code AI Toolsets8. Digital Ethics 9. Digital Transformation Future and Next Steps AppendicesReferences

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Book SynopsisKnowledge translation is a relatively new research topic originating in fields of health sciences and economic development. It is of great interest to knowledge management researchers and practitioners.

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Book SynopsisThe Fourth Industrial Revolution while creating many new opportunities, is inevitably going to lead to uncertainty around specific jobs. To understand which jobs will be uncertain as society moves towards the Fourth Industrial Revolution, Johannessen adopts three time-perspectives.

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Book Synopsis1. Towards a Digitally Enabled Knowledge Society.- 2. Knowledge in Organisations.- 3. Organisational Forms to Leverage Knowledge.- 4. Knowledge Work(ers) in the Digital Age.- 5. Strategies for Managing Knowledge.- 6. Context Specific Knowledge Management Strategies.- 7. Measuring and Safeguarding Intellectual Capital.- 8. How to Put Knowledge Management into Practice.

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