Knowledge management Books

Book SynopsisElgar Research Agendas outline the future of research in a given area. Leading scholars are given the space to explore their subject in provocative ways, and map out the potential directions of travel. They are relevant but also visionary.Leveraging the knowledge gained from knowledge management and from the growing fields of Analytics and Artificial Intelligence (AI), this Research Agenda highlights the research gaps, issues, applications, challenges and opportunities related to Knowledge Management (KM).Exploring synergies between KM and emerging technologies, leading international scholars and practitioners examine KM from a multidisciplinary perspective, demonstrating the ways in which knowledge sharing worldwide can be enhanced in order to better society and improve organisational performance. Chapters investigate KM as it applies to business, library and information science, enterprise-wide strategies, innovation, privacy and data, measurement, Analytics, and AI, before summarising the lessons learned and best practices for future research.A Research Agenda for Knowledge Management and Analytics will be a key resource for students, academics and practitioners working in the fields of KM and Analytics, helping the academics of the future to build on existing successes and identify ways to further develop the field.Trade Review'Knowledge management and analytics originate from different viewpoints. One focuses on people and organizations knowing (or not knowing); the other on people and organizations doing (or hoping to do). As there is little point in knowing without doing, let alone doing without knowing, the potential for synergy is tremendous. This book identifies the variety of directions in which analytics might be integrated into knowledge management to give an even more powerful approach for coping with the challenges of uncertain times.' -- -- John S. Edwards, Aston University, UK and Founding Editor in Chief, Knowledge Management Research and Practice JournalTable of ContentsContents: Foreword by Jim Lee xv Preface xvii Introduction to A Research Agenda for Knowledge Management and Analytics xix 1 Knowledge management: library and information science writ large 1 Qiping Zhang and Michael E. D. Koenig 2 Knowledge management placement in organizations 19 Ramin Assa 3 Knowledge management: enterprise-wide strategies 31 Joanna Paliszkiewicz 4 Knowledge management from a technology perspective 43 Vincent Ribiere, Cheng Gong and Kaiyu Yang 5 Knowledge management and artificial intelligence analytics: a bibliometric study of research trends 67 Francisco J. Cantu-Ortiz 6 Knowledge management and measurement 89 Anthony J. Rhem 7 Knowledge management and innovation: issues, gaps, applications and opportunities 107 Vida Skudienė 8 Serendipitous encounters to support innovations via knowledge visualizations 121 Simon Li and Eric Tsui 9 Decisions, advice and explanation: an overview and research agenda 149 Jan Vanthienen 10 KM, analytics, and AI: a winning combination to survive the post-truth world 171 Kimiz Dalkir 11 Privacy and data: some research venues 191 Kenneth Carling and Johan Håkansson 12 Lessons learned and best practices in KM: a personal perspective 205 Douglas Weidner Index 225

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Book SynopsisWritten by a plethora of expert contributors from a range of institutions, the Handbook of Technology Transfer provides an engaging deep-dive review of technology transfer as a complex and dynamic process, applying different mechanisms characterising activities in a variety of countries.The Handbook takes a fresh look at how technology transfer comprises at least four dimensions: the underlying mechanism of transferring knowledge; the role of individuals that trigger the transfer; the role of institutions where the transfer takes place, and lastly the role of governments and politics. Split into four distinct parts, this insightful Handbook fully examines each of these dimensions and the roles that each of them play in technology transfer, highlighting university institutions in Europe and North America in particular. Forward-thinking, it also delves into future innovation implementation in emerging economies where resources are limited, and the challenges faced as a result.This enlightening Handbook will be an excellent resource for scholars of business management, economics and information technology. It will also be of great interest to policy-makers of innovation and entrepreneurship given its in-depth look at technology transfer and innovation.Trade Review‘This Handbook edited by David Audretsch, Erik Lehmann, and Albert Link is an important contribution to the canon on university technology transfer. Written by well-known academics, each of the chapters examines either vital issues in technology transfer or national technology transfer recipes. It will be essential reading for scholars, policy-makers, and practitioners interested in the current state of thinking about technology transfer.’ -- Martin Kenney, University of California, Davis, US‘This timely and important Handbook should be on the bookshelf of any scholar interested in the managerial or public policy implications of technology transfer. Its global scope and blending of new developments in both theory and practice are especially attractive. The editors have assembled a distinguished, interdisciplinary group of scholars, which is entirely appropriate, given the nature of the topic. Technology transfer spans a number of fields within the social sciences, business administration, and engineering, including management, economics, geography, sociology, and public policy studies. Each of these fields is represented in this cross-cutting volume. A “must-read” for anyone interested in this topic.’ -- Donald Siegel, Arizona State University, US‘This Handbook edited by David Audretsch, Erik Lehmann, and Albert Link is an important contribution to the canon on university technology transfer. Written by well-known academics, each of the chapters examines either vital issues in technology transfer or national technology transfer recipes. It will be essential reading for scholars, policy-makers, and practitioners interested in the current state of thinking about technology transfer.’ -- Martin Kenney, University of California, Davis, USTable of ContentsContents: Introduction to the Handbook of Technology Transfer 1 David B. Audretsch, Erik E. Lehmann and Albert N. Link PART I KNOWLEDGE TRANSFER 1 The limited transferability of knowledge 11 Cristiano Antonelli 2 The impact of knowledge transfer on innovation: exploring the cross-fertilization of basic and applied research 25 Dennis P. Leyden and Matthias Menter 3 The role of public finance in knowledge transfer and innovation 39 David B. Audretsch and Maksim Belitski PART II INDIVIDUALS 4 Principal investigators and knowledge management: a micro-foundational conceptual framework 57 James A. Cunningham, Manlio Del Giudice, Melita Nicotra, Conor O’Kane and Marco Romano 5 Factors facilitating the inventing academics’ transition from nascent entrepreneurs to business owners 75 Joao Ricardo Faria, Rajeev K. Goel and Devrim Göktepe-Hultén 6 The role of work-family initiatives in fostering technology transfer: research opportunities on family and non-family SMEs 103 Katerina Vasilevska Mara Brumana and Tommaso Minola PART III INSTITUTIONS 7 University-industry collaboration: drivers and barriers 124 Thomas Lauvås and Einar Rasmussen 8 Contextualizing technology transfer: a review of university-industry transfer in the construction industry 138 Laís Bandeira Barros, Mirjam Knockaert and Laura Lecluyse 9 The role of Universities of Applied Sciences in technology transfer: the case of Germany 159 Alexander Starnecker and Katharine Wirsching 10 The role of university in a time of crisis: learn from the past to shape the future 175 Henry Etzkowitz, Chunyan Zhou and Rosa Caiazza PART IV COUNTRIES 11 Academic entrepreneurship in Italy 197 Alice Civera, Michele Meoli and Silvio Vismara 12 Academic entrepreneurship: the performance and impacts of academic spin-offs in Norway 216 Marius Tuft Mathisen and Einar Rasmussen 13 Universities’ ownership of intellectual property: focus on Canada 237 Shiri M. Breznitz, Samaa Kazerouni and Qiantao Zhang 14 Technology transfer and frugal social innovations: looking inside an emerging economy 250 Claudia Yañez-Valdés and Maribel Guerrero Index

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Book SynopsisThis vital new Handbook brings together cutting-edge contributions from experts in Information Systems (IS) to explore how qualitative research can be undertaken in the IS discipline.The Handbook critically surveys contemporary trends in qualitative IS studies and offers detailed examples of how IS research methods can be taught. The leading group of contributors provide future-oriented analyses of key research methodologies, covering important topics such as the nature of theory and philosophy in qualitative IS research and new developments in the field. Engaging in an exploratory analysis of where opportunities for qualitative IS research might be heading, the Handbook concludes by identifying a need to consolidate existing research methodologies and develop new ones. The Handbook of Qualitative Research Methods for Information Systems will be beneficial for students studying areas such as information systems, qualitative research methods, research method innovation and knowledge management.Trade Review‘This book will raise editors’ and reviewers’ expectations for the execution of research using qualitative methods, it will broaden the application of qualitative methods in information systems research, and it will ease the teaching of the qualitative approach to our beloved grad students. It’s a jewelry box, full of gems.’ -- Cynthia Beath, University of Texas at Austin, US‘This book collects the most recent advances in qualitative research in information systems field and should form a very valuable reference for anyone planning to undertake a qualitative study within the field. Robert Davison has gathered an impressive group of writers that provide a wide array of views and approaches for performing qualitative studies. The future-oriented chapters should be of particular interest for both seasoned researchers and new doctoral students entering the field. I warmly recommend this book for everyone who plans to do qualitative research within information systems.’ -- Matti Rossi, Aalto University School of Business, Finland‘This Handbook, with chapters written by the most influential qualitative Information Systems scholars, provides a much-needed overview of qualitative research methods in the field of Information Systems. Some of the methods outlined and discussed in the book are well-established and widely practiced, others are methodological advances suitable for researching emerging digital phenomena. The book provides guidance on how to practice and how to teach qualitative research methods. Importantly, it explores their ontological and epistemological underpinnings and cultivates theory development capabilities. This Handbook is an excellent resource for practicing researchers, and it should be recommended reading in PhD programmes.’ -- Chrisanthi Avgerou, London School of Economics, UK‘This book is a treasure. Davison and his contributors have provided insights into qualitative research methods and the latest trends. They have written the definitive primer on how to conduct qualitative research. This is a book, not only to be read, but also to be subjected to deep reflection and application.’ -- Shan Pan, University of New South Wales, AustraliaTable of ContentsContents: 1 Introduction to the Handbook of Qualitative Research Methods for Information Systems 1 Robert M. Davison PART I HOW TO DO QUALITATIVE IS RESEARCH 2 Teaching qualitative research methods 10 Robert M. Davison, Barney Tan, Louie H.M. Wong and Evelyn Ng 3 Analyzing genres of discourse in IS research: an approach to interrogating validity claims in IS scientific argumentation 30 Ojelanki Ngwenyama 4 Exploring IS phenomena through metaphors: insights from a study on Facebook 59 Stephen Jackson and Niki Panteli 5 Knowledge acquisition for quality engagement 77 Robert M. Davison and Louie H.M. Wong 6 Understanding the digital experience: phenomenological IS research 88 Antonio Díaz Andrade, Angsana A. Techatassanasoontorn and Harminder Singh 7 Ethnographic evidence for practice 104 Richard L. Baskerville 8 How do researchers get close to the technology under investigation? Insights, benefits and challenges 124 Stan Karanasios, Mira Slavova and Aljona Zorina PART II METHODOLOGICAL ADVANCES IN QUALITATIVE IS RESEARCH 9 Case study followed by action research: enhancing researcher and practitioner outcomes 149 Julien Malaurent, Robert M. Davison, and Louie H.M. Wong 10 Critical IS research 163 Amber Young 11 Methodological practices for enacting “strong” sociomateriality in qualitative IS research 182 Marko Niemimaa, Ulrike Schultze, and Gijs van den Heuvel 12 The nuts and bolts of qualitative comparative analysis 197 Federico Iannacci 13 Some principles for conducting phronetic IS research 222 Ojelanki Ngwenyama and Stefan Klein 14 Decolonial critical hermeneutics 240 Hameed Chughtai PART III THEORETICAL ASPECTS OF QUALITATIVE IS RESEARCH 15 The shape of theory: an alternative take on theorizing based on the nature of qualitative data 258 Evelyn Ng and Barney Tan 16 Dancing between theory and data: abductive reasoning 274 Antonio Díaz Andrade 17 Developing indigenous theory with qualitative IS research 288 Xiao Xiao and Barney Tan 18 Grounded theory in the era of datafication: a data journey perspective 306 Hamid Pousti, Henry Linger and Caitlin Doogan PART IV FUTURE DIRECTIONS FOR QUALITATIVE IS RESEARCH 19 Process oriented research: opening new horizons for IS research 325 Dubravka Cecez-Kecmanovic 20 Beyond the snapshot: reconceptualising human agency and context in qualitative IS research 340 Matthew Jones and Yingqin Zheng 21 Analysis chaining: conceptual and empirical framing of digital traces 360 Aron Lindberg 22 Current trends and future opportunities in qualitative IS research 376 Robert M. Davison Index 383

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Book SynopsisThis Handbook offers an insightful journey through the landscape of research methods used to study the phenomenon of creativity, addressing the maturation of creativity research and its methodological approaches. Offering a methodological panorama for the global community of creativity researchers, contributors provide markers and viewpoints to better orient scholars and encourage reflection on how one might produce exceptional research on the burgeoning field of creativity. Chapters provide insights into a variety of methodological approaches, contemplating their benefits, limitations, scope of validity and ethical implications. As a contrast, sharp and to the point vignettes, similar to parables, are included to make the reader think. Allowing space for both established methods and new approaches, this Handbook is crucial reading for researchers interested in creativity at all levels looking to adopt innovative methodological approaches and broaden their research horizons. Contributors include: S. Acar, J. Baer, D.M. Boje, I. Bouty, H. Cairns-Lee, G. Cattani, R. Chia, L. Chiapello, A. Cropley, D. Cropley, J. Dul, S. Ferriani, G. Formilan, V. Glaveanu, M.-L. Gomez, M. Hanchett Hanson, P. Hibbert, R. Kark, J.C. Kaufman, A.K. Kofinas, C. Mainemelis, R. Reiter-Palmon, R. Robinson, N. Rosenkranz, M. Runco, M. Sinclair, P. Sowden, U. Ogurlu, M. Tempelaar, K. UnsworthTrade Review'A comprehensive, insightful and informative guide to the elusive concept of creativity and how to research it. A must for all organizational researchers.' --Catherine Cassell, University of Birmingham, UKTable of ContentsContents: Introduction Viktor Dörfler and Marc Stierand 1. Evolution of a Research Program on Creativity Robert J. Sternberg 2. Subjectivity in the Creativity Research Mark A. Runco 3. It's All About Context: Research Methods of the Multi-Context Framework of Creative Leadership Ronit Kark, Olga Epitropaki and Charalampos Mainemelis 4. A Bourdieusian perspective on studying creativity Marie-Léadre Gomez and Isabelle Bouty 5. Reflections on the Ontological Mythologies of Creativity Alexander Kofinas and Sandar Win 6. Role of Intuition in Creativity Research – Open Agenda Marta Sinclair and Fabrizio Maimone 7. Abductive Reasoning, Creativity and the Logic of Intuition Eugene Sadler-Smith and Tim Wray 8. A process-philosophical approach to researching creativity-in-practice Robert Chia 9. Creativity between the lines: creative problem-solving in multi-level survey research Nicole Rosenkranz and Michiel Tempelaar 10. A pragmatic inquiry into creativity theories Laureline Chiapello 11. The Consensual Assessment Technique John Baer 12. The Story of Storytelling: How Walter Benjamin might approach a creative research method? David M. Boje 13. Ethnography of creativity: looking through a Practice lens Christian Grahle and Paul Hibbert 14. The Importance of Case Studies and the Evolving Systems Approach Michael Hanchett Hanson and Vlad Petre Glăveanu 15. Metaphor – Key to Enhancing Meta-Creativity and Researcher Reflexivity Heather Cairns-Lee 16. Rich picture: a systems technique for studying creativity José-Rodrigo Córdoba-Pachón 17. Creative Confidence Beliefs: A Closer Look Ronald A. Beghetto and Maciej Karwowski 18. Meta-analytic research on creativity: Challenges and Solutions Selcuk Acar, Uzeyir Ogurlu and Mark A. Runco 19. On a scale from 1-5… Creativity Survey Scales Kerrie Unsworth and Mark Robinson 20. Creativity as a Driver of Innovation: Measuring the Impact of Human Capital in Organisations David H. Cropley and Arthur J. Cropley 21. Creativity Equals Creativity – Or Does It? How Creativity is Measured Influences Our Understanding of Creativity Roni Reiter-Palmon and Madison Schoenbeck 22. Leading Creative Efforts: Historiometric and Experimental Methods Michael D. Mumford and Cory Higgs 23. Verbal protocol analysis as a tool to understand the creative process Paul T. Sowden, Andrew Pringle and Matthew Peacock 24. A Methodological Essay on the Application of Social Sequence Analysis to the Study of Creative Trajectories Giovanni Formilan, Simone Ferriani and Gino Cattani 25. Necessary Condition Analysis in Creativity Research Jan Dul, Maciej Karwowski and James Kaufman Index

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Book SynopsisElgar Research Agendas outline the future of research in a given area. Leading scholars are given the space to explore their subject in provocative ways, and map out the potential directions of travel. They are relevant but also visionary.Leveraging the knowledge gained from knowledge management and from the growing fields of Analytics and Artificial Intelligence (AI), this Research Agenda highlights the research gaps, issues, applications, challenges and opportunities related to Knowledge Management (KM).Exploring synergies between KM and emerging technologies, leading international scholars and practitioners examine KM from a multidisciplinary perspective, demonstrating the ways in which knowledge sharing worldwide can be enhanced in order to better society and improve organisational performance. Chapters investigate KM as it applies to business, library and information science, enterprise-wide strategies, innovation, privacy and data, measurement, Analytics, and AI, before summarising the lessons learned and best practices for future research.A Research Agenda for Knowledge Management and Analytics will be a key resource for students, academics and practitioners working in the fields of KM and Analytics, helping the academics of the future to build on existing successes and identify ways to further develop the field.Trade Review'Knowledge management and analytics originate from different viewpoints. One focuses on people and organizations knowing (or not knowing); the other on people and organizations doing (or hoping to do). As there is little point in knowing without doing, let alone doing without knowing, the potential for synergy is tremendous. This book identifies the variety of directions in which analytics might be integrated into knowledge management to give an even more powerful approach for coping with the challenges of uncertain times.' -- -- John S. Edwards, Aston University, UK and Founding Editor in Chief, Knowledge Management Research and Practice JournalTable of ContentsContents: Foreword by Jim Lee xv Preface xvii Introduction to A Research Agenda for Knowledge Management and Analytics xix 1 Knowledge management: library and information science writ large 1 Qiping Zhang and Michael E. D. Koenig 2 Knowledge management placement in organizations 19 Ramin Assa 3 Knowledge management: enterprise-wide strategies 31 Joanna Paliszkiewicz 4 Knowledge management from a technology perspective 43 Vincent Ribiere, Cheng Gong and Kaiyu Yang 5 Knowledge management and artificial intelligence analytics: a bibliometric study of research trends 67 Francisco J. Cantu-Ortiz 6 Knowledge management and measurement 89 Anthony J. Rhem 7 Knowledge management and innovation: issues, gaps, applications and opportunities 107 Vida Skudienė 8 Serendipitous encounters to support innovations via knowledge visualizations 121 Simon Li and Eric Tsui 9 Decisions, advice and explanation: an overview and research agenda 149 Jan Vanthienen 10 KM, analytics, and AI: a winning combination to survive the post-truth world 171 Kimiz Dalkir 11 Privacy and data: some research venues 191 Kenneth Carling and Johan Håkansson 12 Lessons learned and best practices in KM: a personal perspective 205 Douglas Weidner Index 225

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Book SynopsisThe regulation and flow of information continues to have a critical impact upon how people live their lives and the way society functions. In recent times, disinformation and privacy violation have become the ‘information pollution’ of the 21st century.This book explores ways and means of protecting the ‘information environment’ by drawing upon four theories of contemporary environmentalism: welfare economics, the commons, ecology, and public choice theory. Welfare economics highlights the need to focus on costs (as well as benefits) when evaluating regulatory structures. The commons encourages queries about the validity of propertisation. Ecology speaks to the importance of diversity and resilience. And public choice theory hazards against the regulatory effect of concentrated interests. The lessons from each inspire the proposed information environmental governance framework.By neatly capturing the metaphorical relationship between the physical environment and the information environment, Robert Cunningham explores progressive regulatory pathways for the digital age. This book will be a thought-provoking read for scholars and students with an interest in intellectual property or the regulation of information.Trade Review‘This thoughtful and deeply analytical text examines in detail what the author, Robert Cunningham, describes as ‘the nexus between the physical environment and the information environment’ and explores the ways in which ‘environmental analytical frameworks’ might also apply to the information environment. . . IP theorists in particular, as well as environmental lawyers and academics will appreciate the insights revealed and the often new and original avenues of thought which Cunningham opens up to scrutiny as a result of his careful research. Certainly this book deserves a place in the well read practitioner’s professional library.’ -- Phillip Taylor MBE and Elizabeth Taylor, The Barrister Magazine‘Professor Cunningham’s first title is an articulate analogy between the physical and informational environments, which provides a thorough application of ecological and environmentalist discourse to the information environment.’ -- Catherine Pocock, Queen Mary Journal of Intellectual PropertyTable of ContentsContents: 1. Information Environmentalism 2. Information Paradox and Public Goods 3. Externalities and Monopolies 4. Information Commons 5. Tragedy of (Ignoring) the Information Semicommons 6. The Social Ecology of Information Environmental Governance 7. Should the Information Commons have Standing? 8. Rational Truths, Reasonable Arguments and Rhetorical Imagination 9. Public Choice Theory and Social Production 10. Constitutional Economics and the Separation of (Economic) Power 11. Control, Alt, Delete: Towards an Information Environmental Governance Framework 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.Contributions address the limitations faced by SMEs in their access to data and demonstrate that the key to overcoming this issue is to be aware of these limitations, to work within them, and to use them to think creatively about how to overcome obstacles in new ways. They discuss Artificial Intelligence, revenue blueprinting, GDPR compliance, and other key topics related to the relationships between SMEs and data. Offering ideas to inspire big data-driven success by SMEs making smaller investments, the book argues that there must be a place for “ordinary” data-driven journeys that are available to firms of any size.Stimulating further thought and action, Big Data in Small Business will be of great interest to academics, researchers, and practitioners in areas such as strategic management, organizational and innovation studies, marketing, and sales. The ideas and information in this book will help fill knowledge gaps related to important aspects of capabilities, functions, and transformations of big data that drive business growth.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 SynopsisAutonomous systems are on the frontiers of Artificial Intelligence (AI) research, and they are slowly finding their business applications. Driven mostly by Reinforcement Learning (RL) methods (one of the most difficult, but also the most promising modern AI algorithms), autonomous systems help create self-learning and self-optimising systems, ranging from simple game-playing agents to robots able to efficiently act in completely new environments. Based on in-depth study of more than 100 projects, Andrzej Wodecki explores RL as a key component of modern digital technologies, its real-life applications to activities in a value chain and the ways in which it impacts different industries. Artificial Intelligence in Management will help project leaders, decision makers and investors evaluate new autonomous projects and will serve as an inspiring guide for future research.Trade Review‘This publication is a very useful guide for organization administrators who hope to optimize operation management with proper applications of AI. For readers who have already known AI and management science, and is trying to integrate AI into management for new strategies and modes, or who want to extend their knowledge of AI in management, this book must be an ideally enlightening resource and will serve as an inspiring guide for future studies.’ -- Ren Yuan, International Journal of Knowledge-Based OrganizationsTable of ContentsContents: Introduction: From Intelligent Machines To Self-Driven Organizations 1. Artificial Intelligence And Machine Learning Landscape 2. The Impact Of Autonomous Systems On Technologies, Processes And Industry Sectors 3. Autonomous Systems In Value Generation 4. Prospects For The Future Conclusions Index

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Book SynopsisThe Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship focuses on theories, policies, practices, and politics of technology innovation and entrepreneurship based on Artificial Intelligence (AI). It examines when, where, how, and why AI triggers, catalyzes, and accelerates the development, exploration, exploitation, and invention feeding into entrepreneurial actions that result in innovation success.Individual chapters explore the factors that shape and drive innovation and entrepreneurship, including modalities (such as the Internet of Things (IoT)), challenges (such as privacy and safety concerns), and opportunities (such as augmenting the efficacy frontier of technological solutions enabled by AI).This Handbook provides comprehensive coverage of AI, technology, and innovation and entrepreneurship for academics, policy makers, practitioners, and students.Trade Review‘The Handbook is an extremely valuable resource for academics, policymakers, practitioners, and researchers interested in Science, Technology, Innovation, Entrepreneurship, Artificial Intelligence, Digital Transformation, and their impact on Industry, Labor, Democracy, and Education. It can also supplement graduate courses in Emerging Technologies, IS/IT Strategies, New Technologies, Innovation, and Entrepreneurship, New Ventures Financing, and Entrepreneurship.’ -- Leigh Wang, International Journal of Data ScienceTable of ContentsContents: Preface xx Introduction to the Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship 1 Elias G. Carayannis and Evangelos Grigoroudis PART I AI FOR BUSINESS 1 Scientific mapping of artificial intelligence as an emerging field of knowledge 8 Iván Manuel De la Vega Hernández, Angel Serrano Urdaneta and Oscar Schiappa-Pietra 2 An Odyssey of ideas about A.I., innovation and entrepreneur(ship) 29 Phillip Harvard 3 The future of business: artificial intelligence, machine learning and deep learning 46 Christos Lemonakis and Constantin Zopounidis 4 Conversations with French innovative entrepreneurs about A.I. 55 Phillip Harvard PART II DIGITAL TRANSFORMATION 5 Digital transformation and digital maturity models: a blueprint strategic decision-making framework 77 Dimitrios Mitroulis and Fotis Kitsios 6 AI and innovation design for new product and service development in digital ecosystems 88 Rossana Piccolo, Veronica Scuotto, Armando Papa, Marco Pironti and Manlio Del Giudice 7 Explainability and the fourth AI revolution 102 Loizos Michael 8 Energy management 4.0 121 Vangelis Marinakis, Haris Doukas and John Psarras PART III DIGITAL ENTREPRENEURSHIP 9 Digital innovation and entrepreneurship in open data ecosystems: stakeholder perspectives and challenges 136 Fotis Kitsios and Maria Kamariotou 10 Cognitive agility for improved understanding and self-governance: a human-centric AI enabler 152 Benjamin James Knox, Stefan Sütterlin and Ricardo Lugo 11 Artificial intelligence in the energy sector 173 Alina Cherepovitsyna 12 The cultural world of high-tech startups 188 Giovanni Baldassarri and Piero Formica PART IV DIGITAL BUSINESS MODELS AND INDUSTRY 4.0 13 The value creation of artificial intelligence: business models based on the Internet of Things (IoT) 206 Sakshi Aggarwal and Stavros Sindakis 14 Implications of blockchain technology in Industry 4.0 218 Georgios Spathoulas and Sokratis Katsikas 15 Artificial intelligence and emerging technologies: exploring opportunities through smart specialisation 237 Ruslan Rakhmatullin and Fatime Barbara Hegyi PART V CYBER SECURITY 16 Financial analysis and management of cyber risk 255 Efstratios Livanis, Michalis Doumpos and Constantin Zopounidis 17 The future of cyber risk management: AI and DLT for automated cyber risk modelling, decision making, and risk transfer 272 Pankaj Pandey and Sokratis Katsikas PART VI SMART CITIES 18 Transformation of smart city public services through AI and big data analytics: towards universal cross-sector solutions 292 Anastasia Panori, Christina Kakderi and Nicos Komninos 19 The notion of interoperability in smart cities: a system of systems approach 308 Pantelis Sotirelis, Theodora Valvi, Evangelos Grigoroudis and Elias G. Carayannis 20 Landing the scientific helicopter to explore in-depth some best practices in smart city innovation ecosystems 318 Luís Farinha, João M. Lopes and João J. Ferreira PART VII SOCIETY AND THE DIGITAL TRANSFORMATION 21 Evaluating citizen sensing applications: How simulation of human mobility can contribute to the search of missing children 333 Michalitsi-Psarrou Ariadni, Kanellou Eleni, Ntanos Christos and Askounis Dimitris 22 Career options and necessary technical skills in AI 350 Krassadaki Evangelia and Matsatsinis Nikolaos 23 The impact of AI on expert labour and professions: a neo-traitist analysis of project management 367 Ian Stewart and Kun Wang PART VIII AI AND DEMOCRACY 24 From Industry 4.0 to Democracy 5.0 383 David F.J. Campbell and Elias G. Carayannis 25 Democratizing AI: from theory to practice 402 Paul D. Clough and Jahna Otterbacher 26 Digital transformation of democracy and politics: sustainable development as a crucial dimension for conceptualization and measurement of democracy and quality of democracy 420 David F.J. Campbell and Elias G. Carayannis Index

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Book SynopsisThis timely Handbook on Digital Business Ecosystems provides a comprehensive overview of current research and industrial applications as well as suggestions for future developments. Multi-disciplinary in scope, the Handbook includes rigorously researched contributions from over 80 global expert authors from a variety of areas including administration and management, economics, computer science, industrial engineering, and media and communication.Chapters analyze the core areas of digital business ecosystems: strategies, platforms, entrepreneurship, business models, governance, data and technologies as well as sustainability and societal issues. The Handbook also explores a wealth of industry applications. It is the most comprehensive compendium on digital business ecosystems and a fascinating resource.Scholars, students and practitioners from all areas of business administration and management, economics, computer science, industrial engineering, and media and communication interested in digital transformation and digital business ecosystems will find this Handbook invaluable. It is also exemplary for practitioners in manufacturing and logistics, media industries, the health sector, and other service sectors who are seeking solutions to practical issues regarding digital business ecosystems.Trade Review‘The Handbook on Digital Business Ecosystems approaches the theory and practice from an interdisciplinary and system perspective. The Handbook presents a body of knowledge from international scholars and practitioners, sharing their research, experiences, and latest thinking related to Digital Business Ecosystem implementation. The authors capture the scope of the technological, business, economic, social, and political factors that influence the development of Digital Business Ecosystem and provides guidance researchers, practitioners, and those embarking on a career in advancing the diffusion of digital technologies in business systems.' -- Gerard H. Gaynor, 3M Director of Engineering (Retired), US‘The digital business ecosystem is a fundamentally new context for strategising, managing and organising, one that transcends traditional industry structures – and many established theories of management and organisation. This Handbook is an invaluable guide to this emerging landscape, not simply capturing developments but exploring their implications from a rich diversity of perspectives.’ -- Lucy Kueng, University of Oxford, UK‘Digital business ecosystems revolutionize the practice and theory of value creation in manufacturing, services and supply chains. This Handbook is a very timely and comprehensively designed source of an utmost importance. It comprises both conceptual and technological views. Being edited and written by the leading experts in the field, the Handbook is an invaluable source for both introductory and advanced reading.’ -- Dmitry Ivanov, Berlin School of Economics and Law, GermanyTable of ContentsContents: 1 Introduction to the Handbook on Digital Business Ecosystems: Strategies, Platforms, Technologies, Governance and Societal Challenges 1 Sabine Baumann PART I STRATEGIES AND PERSPECTIVES 2 Networks, platforms, and digital business ecosystems: mapping the development of a field 11 Sabine Baumann and Marcel Leerhoff 3 Strategies for bridging traditional and digital ecosystems 25 David R. King 4 Disentangling the importance of digital platforms and absorptive capacity in digital business ecosystems 40 Antonio Crupi, Nicola Del Sarto, Alberto Di Minin and Martin F. Kenney 5 Digital business ecosystems and dynamic capabilities 50 Päivi Maijanen 6 Dealing with strategic tensions in digital business ecosystems 63 Sabine Reisinger and Johannes M. Lehner 7 Organizations as ecosystems: the case of television production 80 Gillian Doyle PART II ENTREPRENEURSHIP 8 Navigating digital waters: entrepreneurial ambiguities and the triad of purpose in digital business modeling 94 Stephanie Birkner and Martina Weifenbach 9 The relevance of entrepreneurship ecosystems for start-up success: a venture capital perspective 109 Nina Schumacher 10 Value creation through start-up integration 126 Christian Horneber 11 Female entrepreneurs’ innovativeness in digital business ecosystems 143 Ngozichukwuka M. Eneh Ojo, Oluwasoye P. Mafimisebi, and Felix Arndt PART III VALUE CREATION AND BUSINESS MODELS 12 Design knowledge for digital business ecosystems: towards design principles for digital engagement platforms 161 Simon Michalke, Lisa Lohrenz, Dominik Siemon, Christoph Lattemann, and Susanne Robra-Bissantz 13 Digital platforms in the industrial sphere: value creation logics and platform types 177 Philipp Mosch and Robert Obermaier 14 Customer roles in digital business ecosystems: different forms of customer contribution in value creation 194 Karolina Bähr 15 Digital platforms and trading companies: the evolution of traditional business ecosystems into integrated digital business ecosystems 212 Reinhard Schütte and Tobias Wulfert 16 The digital consulting ecosystem business model 232 Volker Nissen PART IV GOVERNANCE AND MANAGEMENT 17 The role of location for non-focal firms in emerging digital business ecosystems: relevance of agglomeration factors in the German XR industry 250 Christian Zabel and Verena Telkmann 18 A digital business ecosystem maturity model for personal service firms 269 Ricardo Guerrero, Christoph Lattemann, Simon Michalke, and Dominik Siemon 19 Business ecosystems in digital journalism: cross-border collaborative investigations as a novel organizational form 292 Christopher Buschow and Maike Suhr 20 Improved decisions for digitalization projects in digital business ecosystems 307 Vinzenz Jeglinsky and Herwig Winkler 21 Meta-study of success-related factors of SaaS providers based on a cloud computing ecosystem perspective 327 Sebastian Floerecke and Franz Lehner PART V DATA AND TECHNOLOGIES 22 Data (r)evolution: the economics of algorithmic search and recommender services 349 Oliver Budzinski, Sophia Gaenssle, and Nadine Lindstädt-Dreusicke 23 Blockchain technology in the supply chain: learning from emerging ecosystems and industry consortia 367 Wafaa A.H. Ahmed and Bart L. MacCarthy 24 Blockchain-based supply chain architecture adapted to digital business ecosystems 387 Yu Cui and Prakash J. Singh 25 Blockchain ecosystems in the creative industries: big dreams for micro-payments 405 Ivana Kostovska 26 Artificial intelligence meets onto-epistemologies: distinctive sociomaterial perspectives for organizational research at the intersection of digital business ecosystems and robotics 424 W.G. Will Zhao and Yimin Yang PART VI SOCIETAL CHALLENGES AND SUSTAINABILITY 27 Having a platform to stand on: examining modern challenges faced by workers in platform-facilitated multi-sided markets 439 Traci M. Bricka and Amber N. Schroeder 28 Better data, better business, better lives: towards a symbiotic reporting framework for sustainable digital business ecosystems 457 Patrick Peter and Will Ritzrau 29 Conceptualizing smart-circular product-service ecosystems for the photovoltaic power industry 475 Verena Luisa Aufderheide, Laura Montag, and Marion Steven 30 The digital business ecosystem sustainability cube: an instrument enabling systematic collaboration decisions 492 Timo Klünder and Marion Steven 31 Big data analytics for developing sustainable capabilities of digital business ecosystems 510 Raissa Pershina PART VII INDUSTRY APPLICATIONS AND CASE STUDIES 32 Digital business ecosystems: a comparison of different industries 530 Franziska Götz, Christoph Buck, Michael Rosemann, and Reinhard Meckl 33 Doing digital news: a comparison of three business models from an ecosystems perspective 549 Cindy Price Schultz 34 Digital business ecosystems in the media: VR technology implementation models 564 Anna Jupowicz-Ginalska and Krzysztof Sokół 35 The digital innovation ecosystem of eSports: a structural perspective 582 Katharina Hölzle, Oliver Kullik, Robert Rose, and Matthias Teichert 36 Value co-creation in eSports from a service ecosystem perspective 596 Reinhard E. Kunz and Alexander Roth 37 Entrepreneurial responses to the coronavirus pandemic: digitization of the US restaurant business 614 Geoffrey M. Graybeal and Benjamin Lawrence 38 Driving automation: an evolving digital business ecosystem tale 629 Samina Husain and Ana Trigo 39 Case study of the customer acceptance of Personal Data Trust Bank in Japan: a questionnaire survey 646 Masaharu Tsujimoto and Soichiro Tanaka 40 Potentials of digital business ecosystems in the healthcare market 661 Franziska Götz, Caroline Reelitz, Christoph Buck, Torsten Eymann, and Reinhard Meckl 41 Digital twins in real estate: driving value throughout the building life cycle 679 Adrian Toschka 42 Developing big data analytics capability in a focal firm of a digital business ecosystem: the case of the Norwegian swine breeding industry 696 Victoria Konovalenko Slettli 43 Evolving internal digital business ecosystems for order fulfillment 713 Julia Feldt and Henning Kontny 44 Digital ecosystems in manufacturing: emerging models for Industry 4.0 726 Giovanna Culot Index

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Book SynopsisDigital transformation continues to accelerate change in all aspects of modern life. This book examines when, where, how, and why artificial intelligence and digital change can boost innovation and transform the economy, society and democracy. It provides a holistic approach to the promotion of the knowledge economy, knowledge society and knowledge democracy.The book is developed based on the Cyber-D4 nexus, which is a conceptual framework of Cyber-Defense, Cyber-Development, Cyber-Democracy, and Cyber-Diplomacy, and it adopts a Quadruple/Quintuple Innovation Helix (Q2IH) approach. This nexus ties new national and industrial cyber strategies, including business strategies for smart cities and the Internet of Things, with the local, national, regional, and global security and economic objectives.Academics, policy makers, practitioners, researchers and students in combined fields of science, technology, innovation and entrepreneurship, digital transformation, artificial intelligence and the future of industry will appreciate the lens through which the chapter authors explore both the minutiae and expansive influence of digital transformation.Table of ContentsContents: Introduction to The Elgar Companion to Digital Transformation, Artificial Intelligence and Innovation in the Economy, Society and Democracy 1 Elias G. Carayannis, Evangelos Grigoroudis, Sokratis Katsikas and David F.J. Campbell PART I CYBER-SECURITY 1 Categorizing cyber effects 7 Charles T. Harry and Nancy W. Gallagher 2 The challenge of advanced cyberwar and the place of cyberpeace 33 Elias G. Carayannis and John Draper 3 International sea, air and space politics 81 Alexandra Fabrykowska PART II INNOVATION AND CYBER-DEMOCRACY 4 Innovation as a driver of political preference formation in post-industrial society: origins and consequences 112 David M. Wineroither 5 Securing democracy in cyberspace 130 Andrew N. Liaropoulos 6 Microtargeting and big data: opportunities and threats for (cyber‑)democracy 145 Matthias Keppel PART III SOCIETY 5.0 7 Digital and green twins of Industry & Society 5.0: the role of universities 166 Elias G. Carayannis and Joanna Morawska 8 Increasing the research relevance for societal actors: the contribution of participatory research techniques to knowledge democracy 203 Magdalena Fellner 9 Crossing the black and white pattern of a chessboard with the colors of art: the digital turn and live reform movement 4.0 224 Ruth Mateus-Berr PART IV ECONOMY 5.0 AND QUINTUPLE INNOVATION HELIX 10 Aligning the Quintuple Helix model of innovation with Vietnam’s context: evidence from artificial intelligence innovation dialogues 252 Anh-Nguyet Luong 11 The bright future of ecosystem economies: explainable and reliable artificial intelligence via software–hardware interoperability 274 Georg Christoph Hanschitz 12 The academic firm within a Cyber-D4 environment 297 David F.J. Campbell and Elias G. Carayannis PART V ENTREPRENEURSHIP AND INNOVATION IN HIGHER EDUCATION 13 Technology transfer and innovation in higher education governance: comparing conceptual understandings displayed by University Performance Agreements over time 308 Magdalena Fellner, Attila Pausits and Florian Reisky 14 Innovation and student equity in higher education 326 Corinna Geppert and Franziska Lessky 15 Emergency and innovation: the impact of state-of-emergency on innovative educational practices during the Covid-19 pandemic 345 Attila Pausits, Stefan Oppl, Sandra Schön, Magdalena Fellner, David F.J. Campbell and Martin Dobiasch PART VI INSTITUTIONAL RESEARCH AND UNIVERSITY GOVERNANCE 16 Accelerating institutional research in China’s higher education institutions 373 Qin Zhuoli 17 Institutional research: past, present and future 381 Ana Parrón Cabañero 18 University governance in Austria, Finland and Scotland: possible implications from digitalization and Covid-19 394 Kajetan Stransky-Can Index

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Book SynopsisThe 21st century economy is fuelled by knowledge. Today, knowledge is more than an idea - it is an economic commodity. An organization's knowledge capital is a competitive and comparative advantage. Every organization must now invest in the knowledge assets of all its employees. Learning is the engine that creates and renews knowledge capital. Learning Organizations delves into why learning is an essential business operation; how modern learning is different from industrial-era training; how to discover learning sources and opportunities; how to design a learning environment and learning strategies that optimize the potential of every employee. This is essential reading for business managers, human resource professionals, and academic researchers studying knowledge economies, knowledge, and intellectual capital.Table of ContentsPart 1. Learing In The Knowledge Economy Chapter 1. Knowledge Capital and the Knowledge Economy Chapter 2. Learning Chapter 3. Learning Cultures Chapter 4. Designs for Learning Part 2. Learning environments Chapter 5. Learning at the Organization Level Chapter 6. Learning at the Team or Group Level Chapter 7. Learning at the Individual Level Part 3. Developing Learning Strategies Chapter 8. Designing and Developing an Organization-Wide Learning Strategy Chapter 9. Communicating and Socializing the Learning Strategy Chapter 10. Maintaining and Sustaining a Learning Strategy

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Book SynopsisAs organizations continue to discover the power of storytelling to shape, transform and transfer knowledge, the need for complex resources to harness that power and meet business goals increases. At the forefront of this challenge are knowledge management practitioners, change management leaders, and organizational development professionals who need information to obtain a practical advantage to implement sustainable storytelling initiatives. Knowledge Management and the Practice of Storytelling: The Competencies and Skills Needed for a Successful Implementation offers practical advice and guidance on the skills and competencies needed to meet those challenges. Discussing the competencies needed to use language and performance effectively to tell stories that will elicit tacit knowledge, this volume focuses on coaching strategies to help others develop storytelling skills, and provides background knowledge useful to champion and promote storytelling practices across organizational cultures and communities. Knowledge Management and the Practice of Storytelling will prove especially useful to practitioners who are charged with the development and leadership of storytelling initiatives but may lack a robust background on the practicalities of organizational storytelling. To meet those challenges, the book offers practical applications rooted in ethnographic research to find and select stories, conduct storytelling interviews, and analyse organizational communities and cultures to the meet the needs of target audiences. Most importantly, Knowledge Management and the Practice of Storytelling offers practical advice on assessment and evaluation strategies to measure the effectiveness and organizational impact of storytelling.Table of ContentsSection I. Conceptual Review Chapter 1. Understanding the concept of storytelling Chapter 2. The practice of storytelling as knowledge management Chapter 3. Literacy, competencies and skills Section II. Competencies and Skills Chapter 4. Rhetorical competencies and skills Chapter 5. Performative competencies and skills Chapter 6. Ethnographic competencies and skills Section III. Assessment and Evaluation Chapter 7. Assessing storytelling competencies and skills Chapter 8. Evaluating the effectiveness of storytelling Section IV. Lessons and Takeaways Chapter 9. Lessons learned

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Book SynopsisIn order to achieve its full value, knowledge must flow and be continuously used. Knowledge use, reuse, and repurposing has been a challenge discussed in knowledge sciences literature for over three decades. Based on a review of research and conversations with business stakeholders, the authors investigate and offer solutions to two key challenges - preserving and curating knowledge. Knowledge Preservation and Curation focusses on business value and processes rather than traditional legal and financial requirements, and further, explores preservation and curation in known and unknown business futures. Real-world examples from cutting-edge private and public sector organizations are included, and give unique insight into the world of knowledge management.Table of ContentsKNOWLEDGE PRESERVATION – CURRENT AND FUTURE PERSPECTIVES Chapter 1. Fundamentals of Preservation Chapter 2. Thinking Strategically about Knowledge Preservation and Curation Chapter 3. Future-Proofing a Preservation and Curation Strategy Chapter 4. The Challenge of Channels to Preserving and Curating Knowledge Assets CURATING KNOWLEDGE FOR USE Chapter 5. Curating Knowledge Chapter 6. Expanding Preservation and Curation to Knowledge Assets Chapter 7. Architectures to Support Knowledge Preservation and Curation KNOWLEDGE PRESERVATION AND CURATION STRATEGIES, CAPABILITIES AND COMPETENCIES Chapter 8. Knowledge Preservation and Curation Strategies Chapter 9. Knowledge Preservation and Curation Capabilities and Methods Chapter 10. Knowledge Preservation and Curation Roles, Responsibilities and Competencies Appendix A. Pulling it All Together Appendix B. Futuring Methods to Support Strategic Thinking

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Book SynopsisImprovement is fundamental to the competitiveness of networks and requires the participating firms to collaborate in identifying and introducing changes. This book presents collaborative strategic improvement as a cycle of activities in which firms in a network can engage together. Drawing on actual cases, authors link this cycle with disciplined action learning as a means of building upon experience generated through collaborative action. They describe how a network can learn from experience and deploy that learning in the marketplace. This unique book brings together the domains of operations management, organizational learning and action learning. From an operations management perspective, the work extends the established concept of strategic improvement in operations to the network within which firms collaborate to improve and to compete. From an action learning perspective, it draws on the emerging literature on network learning, re-frames the established concept of action learning as a learning mechanism and extends action learning into the network setting. Here, it values the inter-organizational insights that emerge through collaboration. Finally, the study articulates a philosophy and a framework for action learning research, extending the reach of action learning beyond practice to knowledge generation. Directed to researchers engaged in active intervention in improvement initiatives in organizations, this insightful book will prove to be a must-have resource. Also, it will appeal strongly to practitioners, including managers and action learning facilitators.Contents: 1. Overture; Part I: The Domains; Introduction to Part I; 2. Collaborative Strategic Improvement; 3. Learning in and Between Organizations; 4. Action Learning in and Between Organizations; 5. Intermission - The State of Our Understanding; Part II: Learning in Action; Introduction to Part II; 6. Collaborative Strategic Improvement Action Learning Programme Design; 7. Effecting Collaborative Operational Strategic Improvement in a Non-Contractual Setting; 8. Effecting Collaborative Operational Strategic Improvement in the Contractual Setting of an Extended Manufacturing Enterprise; Part III: Consolidation; Introduction to Part III; 9. Realizing Strategic Improvement; 10. Guidelines for Realizing Sustainable Strategic Improvement; 11. Action Learning Research in Inter-organizational Settings; 12. Finale; Appendices; Appendix I: National Action Learning Programme (NALP): Background and Overview; Appendix II: CO-IMPROVE: Background and Overview; Appendix III: Introductory Workshop on Action LearningTrade Review’Coughlan and Coghlan has advanced the field of action learning to an even higher and more powerful level in this great book. The authors provide clear guidance on how to strategically and systemically improve an organization through network action learning. The book is filled with examples of how a disciplined approach to action learning that both learning and action focused, with cognitive, structural and procedural dimensions, can lead to successful learning organizations.’ -- Michael Marquardt, George Washington UniversityTable of ContentsContents: 1. Overture Part I: The Domains 2. Collaborative Strategic Improvement 3. Learning in and Between Organizations 4. Action Learning in and Between Organizations 5. Intermission: The State of Our Understanding Part II: Learning in Action 6. Collaborative Strategic Improvement Action Learning Programme Design 7. Effecting Collaborative Operational Strategic Improvement through Network Action Learning in a Non-Contractual Setting 8. Effecting Collaborative Strategic Improvement in the Contractual Setting of an Extended Manufacturing Enterprise Part III: Consolidation 9. Realizing Sustainable Strategic Improvement 10. Guidelines for Realizing Sustainable Strategic Improvement 11. Action Learning Research in Inter-organizational Settings 12. Finale References Appendices Index

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Book SynopsisThere has been a great deal of discussion on the knowledge economy, but much of this has been more a matter of rhetoric than serious analysis. This book is a pioneering effort to address this gap, using a range of methods and investigating knowledge-intensive service activities (KISA) in many different sectors. The expert contributors highlight the changes that are occurring in the labor force and the organization of work, as well as in the competences and combinations of knowledge demanded in contemporary occupations. They provide corporate managers and policymakers with much needed data and analysis regarding the implications of knowledge-intensive service systems and the skills required for innovation within these sectors. By exploring these systems in both traditional and services industries, the editors point to important areas of action for improving business practices and human capital development that are key for business and employment development. This unique book deploys rich empirical material that will help put KISA onto the map for researchers, policy makers, policy analysts and practitioners across many disciplines and professions including human resources, training and skills development, and procurement. Providing in-depth and theoretically informed studies, whilst drawing on cases from many sectors and countries, this compendium will prove essential for students of business management and human resource management.Contributors: J. Albors-Garrigos, M. Broch, J.L. Hervas-Oliver, P. Marquez Rodriguez, C. Martinez-Fernandez, L.E. Martinez-Solano, I. Miles, T. Potts, S. Sharpe, T. Weyman, H. Wiig AslesenTrade Review'. . . constructive reading by those interested in peeking into the black box of innovation.' --Andrew Scott Catey, Science and Public Policy Table of ContentsContents: 1. Knowledge Intensive Service Activities: Integrating Knowledge for Innovation Cristina Martinez-Fernandez and Ian Miles PART I: TRADITIONAL INDUSTRIES 2. Roles of KISA in Aquaculture in Norway Heidi Wiig Aslesen 3. The Role of KISA in Basic Agro-food Processes Innovation: The Case of Orange Packers in Eastern Spain José Albors-Garrigos 4. KISA Utilisation in Resource Intensive Industries: The Case of Mining in Australia Cristina Martinez-Fernandez 5. KISA Role in Traditional Manufacturing Industries: The Case of Ceramic Tiles in Spain José Albors-Garrigos, Jose Luis Hervas-Oliver and Patricia Marquez Rodriguez PART II: SERVICE INDUSTRIES 6. The Role of KISA in a Public Service: The Case of Entrepreneurial Home-based Care for Elderly in Norway Marianne Broch 7. KISA Role in Western High-technology Industries: The Case of Software in Australia and Ireland Laura E. Martinez-Solano and Cristina Martinez-Fernandez 8. The Use of KISA in the Public Sector Ian Miles 9. The New Green Deal and KISA: A Global and Australian Perspective Tavis Potts 10. Venture Capitalists as Knowledge Intensive Service Activity Providers Samantha Sharpe PART III: STRATEGIC POLICY IMPLICATIONS 11. Implications for Skills, Employment and Management Ian Miles and Cristina Martinez-Fernandez Index

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Book SynopsisIn an increasingly globalised world, place and provenance matter like never before. The law relating to Geographical Indications (GIs) regulates designations which signal this provenance. While Champagne, Prosciutto di Parma, Café de Colombia and Darjeeling are familiar designations, the relevant legal regimes have existed at the margins for over a century. In recent years, a critical mass of scholarship has emerged and this book celebrates its coming of age. Its objective is to facilitate an interdisciplinary conversation, by providing sure-footed guidance across contested terrain as well as enabling future avenues of enquiry to emerge.The distinctive feature of this volume is that it reflects a multi-disciplinary conversation between legal scholars, policy makers, legal practitioners, historians, geographers, sociologists, economists and anthropologists. Experienced contributors from across these domains have thematically explored: (1) the history and conceptual underpinnings of the GI as a legal category; (2) the effectiveness of international protection regimes; (3) the practical operation of domestic protection systems; and (4) long-unresolved as well as emerging critical issues. Specific topics include a detailed interrogation of the history and functions of terroir; the present state as well as future potential of international GI protection, including the Lisbon Agreement, 2015; conflicts between trade marks and GIs; the potential for GIs to contribute to rural or territorial development as well as sustain traditional or Indigenous knowledge; and the vexed question of generic use.This book is therefore intended for all those with an interest in GIs across a range of disciplinary backgrounds. Students, scholars, policy makers and practitioners will find this Handbook to be an invaluable resource.Contributors include: E. Barham, D. Barjolle, L. Bérard, D.S. Gangjee, D. Gervais, M. Geuze, B. Goebel, M. Groeschl, M. Handler, C. Heath, D. Marie-Vivien, J.M.C. Martín, P. Mukhopadhyay, D. Rangnekar, B. Sherman, A. Stanziani, S. Stern, A. Taubman, L. Wiseman, H. ZhengTrade Review‘This handbook is intended for all those readers with an interest in GIs across a range of disciplinary backgrounds. Students, academics, policy makers and practitioners we think will find the work to be an invaluable resource and we are all, as usual, most grateful to Edward Elgar Publishing for the high standard and services they continue to offer us. Thank you very much, Elgar, for these specialist library titles and to Dev Gangjee and his team for this contribution to the IP library.’ -- The Barrister MagazineTable of ContentsContents: 1. Introduction: Timeless Signs or Signs of the Times? Dev S. Gangjee PART I HISTORY AND CONCEPTS 2. French Collective Wine Branding in the Nineteenth-Twentieth Centuries Alessandro Stanziani 3. ‘Translating Terroir’ Revisited: The Global Challenge of French AOC Labeling Elizabeth Barham 4. Terroir and the Sense of Place Laurence Bérard PART II INTERNATIONAL PROTECTION 5. Geographical Indications under WIPO-Administered Treaties Matthijs Geuze 6. Geographical Indications under TRIPS Daniel Gervais 7. Rethinking GI Extension Michael Handler 8. International Protection of Geographical Indications: The WTO Multilateral Register Negotiations José Manuel Cortés Martín 9. Thinking Locally, Acting Globally: How Trade Negotiations over Geographical Indications Improvise ‘Fair Trade’ Rules Antony Taubman PART III DOMESTIC PROTECTION MODELS 10. A History of Australia’s Wine Geographical Indications Legislation Stephen Stern 11. A Comparative Analysis of GIs for Handicrafts: The Link to Origin in Culture as Well as Nature? Delphine Marie-Vivien 12. Geographical Indications Protection in China Haiyan Zheng PART IV CRITICAL ISSUES 13. Learning to Love my PET – The Long Road to Resolving Conflicts between Trade Marks and Geographical Indications Burkhart Goebel and Manuela Groeschl 14. The Budweiser Cases: Geographical Indications v. Trade Marks Christopher Heath 15. Geographical Indications and Protected Designations of Origin: Intellectual Property Tools for Rural Development Objectives Dominique Barjolle 16. Social Gains from the GI for Feni: Will Market Size or Concentration Dominate Outcomes? Dwijen Rangnekar and Pranab Mukhopadhyay 17. From Terroir to Pangkarra: Geographical indications of Origin and Indigenous Knowledge Brad Sherman and Leanne Wiseman 18. Genericide: The Death of a Geographical Indication? Dev S. Gangjee Index

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Book SynopsisThis book showcases advanced empirical research that applies the concept of organizational routines to understanding organizations and how they change and evolve. The contributions gathered in the book cover qualitative, quantitative, and archival methods for empirical research applying the concept of organizational routines. Specific issues highlighted include the use of event-sequence methods in the analysis of organizational routines, the impact of standard operating procedures on recurrent behaviour patterns, and the stability, resilience, and change of organizational routines. The book thus provides an overview of different empirical methods applied to study organizational routines, and of their prerequisites, analytical power, and contribution.This comprehensive book will be of great interest to scholars and postgraduate students in the fields of organization theory, strategy, and organization behaviour. Researchers in organization, management and economic science, organizational change and evolutionary theories will also find this book invaluable.Trade Review'One of the major challenges facing organization studies has been for a long time to develop an operational content to the notion of "routines". This book offers important advances in this direction, both conceptually and through illuminating case studies.' -- Giovanni Dosi, Sant'Anna School of Advanced Studies, Pisa, ItalyTable of ContentsContents: 1. Advancing Empirical Research on Organizational Routines: Introduction Markus C. Becker and Nathalie Lazaric PART I: CONCEPTUAL FOUNDATIONS 2. Routines as Technologies and as Organizational Capabilities Richard R. Nelson 3. The Nature and Replication of Routines Geoffrey M. Hodgson PART II: METHODS FOR ANALYSING ORGANIZATIONAL ROUTINES 4. Using Workflow Data to Explore the Structure of an Organizational Routine Brian T. Pentland, Thorvald Haerem and Derek W. Hillison 5. The Contribution of Event-sequence Analysis to the Study of Organizational Routines Carlo Salvato 6. The Inheritance of Organizational Routines and the Emergence of a Firm Genealogy in the Fashion Design Industry Rik Wenting PART III: ORGANIZATIONAL ROUTINES AND STABILITY IN ORGANIZATIONS 7. Is it the ‘Same’? Observing the Regeneration of Organizational Character at Camp Poplar Grove Jeremy P. Birnholtz, Michael D. Cohen and Susannah V. Hoch 8. Uncovering Inertia: Ambiguity between Formal Rules and Routines of Interaction Martijn van der Steen PART IV: ORGANIZATIONAL ROUTINES AND ORGANIZATIONAL CHANGE AND INNOVATION 9. The Influence of Artefacts and Distributed Agencies on Routines’ Dynamics: From Representation to Performation Luciana D’Adderio 10. Innovation Routines: Exploring the Role of Procedures and Stable Behaviour Patterns in Innovation Markus C. Becker and Francesco Zirpoli 11. The Difficult Creation of Novel Routines: Persistence of Old Habits and Renewal of Knowledge Base in French SMEs Frédéric Huet and Nathalie Lazaric Index

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Book SynopsisAs an ever-increasing amount of innovation takes place within networks, companies are collaborating in developing and marketing new products, services and practices. This in turn requires knowledge to flow across company boundaries. This book demonstrates how companies encourage this knowledge to flow in networks that can involve dozens of partners. Substantiated by five in-depth case studies of innovative networks, the authors identify and analyse the solutions implemented by companies in order to meet the key knowledge management challenges they encounter. Theoretical and management implications of the study are then defined.Connecting the organization theory of networks with knowledge management theory, this book will be of great interest to academics and students in business administration, especially in the areas of organization, strategy, supply chains and knowledge management.Table of ContentsContents: Preface 1. Knowledge and Innovation in Networks: A Conceptual Framework Ard-Pieter de Man, Hans Berends, Irene Lammers, Erik van Raaij and Arjan van Weele 2. Networks as the Organization Form of the Knowledge Economy Ard-Pieter de Man 3. Organizing Knowledge Sharing in Networks: The Theory Elco van Burg, Hans Berends and Erik van Raaij 4. Meeting Moore’s Law: High Velocity Knowledge Development in the Supplier Network of ASML Irene Lammers, Pim Eling, Ard-Pieter de Man and Arjan van Weele 5. The Future Store Initiative: Shopping for Knowledge/Knowledge for Shopping Ard-Pieter de Man and Tim Graczewski 6. Pig-breeding as a Knowledge-intensive Sector Ard-Pieter de Man 7. Making Horticulture Networks Bloom Ard-Pieter de Man and Erik van Raaij 8. The Fibres that Hold an Innovation Network: An Analysis of Knowledge-sharing in the Glare Network Elco van Burg, Erik van Raaij and Hans Berends 9. Best Practices: Key Lessons from the Cases Irene Lammers, Hans Berends, Ard-Pieter de Man and Arjan van Weele 10. A Management Agenda Ard-Pieter de Man Index

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Book SynopsisCollaborating with Customers to Innovate explores the collaborative potential offered by customers in digital environments to enhance the effectiveness of new product development. The internet has created the problem of an increasing need for innovation in a context where information is transparent, competitors are just one click away, and product lifecycles are shrinking. However, as the book demonstrates, the internet also provides the solution - enabling new forms of value creation with customers and an efficient way to harness distributed competences. Specifically, the authors highlight the role that digital environments play in allowing firms to engage customers in product design and testing. They develop a major review of web-based tools for marketing interaction and then explore the opportunities for sustaining innovation through collaboration beyond the customer-firm relationship. The book enriches an important debate in management and in academia on the new product development process. It encompasses marketing approaches and is sharply focused on the opportunities that digital technologies have created for involving customers in collaborative innovation, and actionable recommendations for putting collaborative innovation to work. The book will appeal to academics as well as practitioners in marketing and new product development as well as MBA students on marketing and new product development courses.Trade Review‘Collaborating with Customers to Innovate is an excellent book for scholars. . . thanks to its robust framework and its precise links to the existing literature, I would recommend it as a required reading for all those (numerous) academics who want to get acquainted with this crucial subject.' -- Roberto Verganti, R&D Management'Customers have become a critical innovation partner for companies in many industries. At the same time, new information technologies have made such collaborative innovation with customers more feasible and cost-effective. Prandelli, Sawhney, and Verona's book resonates this important theme and contributes to our understanding of the associated management concepts and practices. Definitely a valuable book - for both academic researchers as well as practitioners!' -- Satish Nambisan, Rensselaer Polytechnic Institute, US'The profound research effort and the farsightedness of the theories elaborated make this book an essential guide to innovation through collaboration. As a matter of fact, many of the techniques described here are being leveraged by IBM today to improve the relationship with its customers.' -- Guido Gerlotti, Vice President, ibm.com Global Web Sales'Prandelli, Sawhney and Verona fuse real world illustrations of customer driven innovation with rigorous academic analysis. As a virtual knowledge broker in the automotive marketplace, Edmunds has experienced firsthand what Prandelli, Sawhney and Verona have so insightfully described. I applaud them for sharing these insights with managers the world over in such an actionable and perceptive manner.' -- Avi Steinlauf, President of Edmunds.comTable of ContentsContents: Introduction 1. An Increasing Need for Innovation 2. The Promise of Collaborative Innovation 3. Tools for Collaborative Innovation 4. Managing an Integrated Portfolio of Tools for Collaborative Innovation 5. From Collaborative to Distributed Innovation 6. Virtual Communities 7. Virtual Knowledge Brokers 8. Open-Source Systems 9. Conclusions References Index

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Book SynopsisInnovation Networks in Knowledge-based Firms explores corporate strategic management in an information and communication technology (ICT) environment, and illustrates the significance of new business models based on 'boundary innovation' management through broadband networks as fixed and mobile wireless infrastructures. The author bridges theory and practice and provides international scope; he seeks to make transparent the mechanisms behind the processes that generate product and service innovation in ICT industries, such as search and advertising (Yahoo, Google), music distribution (Apple iPod) and gaming (Sony Playstation, Nintendo DS). He develops new business models based on 'boundary innovation' management and explains the innovation networks formed via three types of knowledge innovator - platform, process, and content. These knowledge innovators play an important role in merging different technologies (including ICT) and business models to develop new business value chains and new industries that span various industrial fields.Highlighting new theoretical and managerial insights and implications in the realm of ICT, this book will be invaluable to academics, students and practitioners with an interest in business, management, ICT and high-tech industries.Table of ContentsContents: Preface Part I: Network Innovation in the Knowledge-based Society 1. Network Innovation for Knowledge-based Firms 2. Network Innovation through Real and Virtual Space: Theoretical Frameworks Part II: Platform Innovators 3. ICT Innovation through Co-creation and Co-evolution 4. Boundaries Innovation through ICT Development Part III: Process Innovators 5. Dynamic Collaboration through Broadband Innovation 6. ICT-based Integrative Competences through the Balance of Process, Practice and ICT Part VI: Content Innovators 7. Mobile Phone Business Innovation for Business Ecosystems through Co-creation and Co-evolution 8. Virtual Service through Collaboration between Innovative Customers and Platform Innovators Part V: Network Innovation through Co-creation and Co-evolution 9. Process View of the Knowledge-based Firm 10. Conclusion: The Network Innovation-based Firm in the Knowledge-based Society Bibliography Index

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Book SynopsisEconomics of Knowledge explores the theory and empirical facts needed for rational decisions on knowledge investments, creative processes and management of knowledge based industries and institutions. The accumulation of knowledge through higher education, scientific research and industrial R&D is a key factor in economic and social development. This timely and valuable book focuses on the micro- and macroeconomics of knowledge production, and on the analysis of technical constraints, possibilities of collaboration and incentives for scientists, academic teachers and students. The authors move on to analyze the advantages and disadvantages of centrally controlled and competitive university systems, before concluding with a set of decision-making rules for government, university administrations and industry.This book on a hotly contested subject will be widely sought after by those with an interest in economics, management, operations research, regional science and planning as well as consultants to knowledge based industries. R&D managers of industrial firms will learn a great deal from this book as will managers of universities and research institutes.Table of ContentsContents: Preface 1. The Study of Knowledge in Economics 2. Stock of Knowledge 3. Production of Knowledge 4. Scientific Interaction and Organization of Knowledge Production 5. Knowledge and Society 6. Household Knowledge Investments 7. Information and Knowledge in the Decision-Making of Firms 8. Expansion of Knowledge and Macroeconomic Growth References Index

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Book SynopsisThis informative book examines the process of nascent entrepreneurship from a learning perspective. It offers a multi-layered framework of nascent entrepreneurship through an inter-disciplinary approach and sound application of Bourdieu’s conceptual tools and also by generating practical insights for nascent entrepreneurs, enterprise educators and mentors.Supported by an empirical investigation of two case studies, the authors argue that it is not sufficient to study nascent entrepreneurship and concurrent process of entrepreneurial learning at just the individual (entrepreneur) or collective (team or organisational) level and examine the socio-behavioural aspects of learning; but that entrepreneurial learning should be understood by inter-relating personal (micro), relational (meso) and macro-contextual aspects of nascent entrepreneurship. The comprehensive coverage of entrepreneurship theory and research will be of significant value for scholars, researchers and students in the field.Trade Review’This work by Karatas-Özkan and Chell provide fresh insights on entrepreneurial learning and the entrepreneurship process. Employing a well informed social constructivist perspective, it combines theory with a richly grounded empirical analysis at three distinct but inter-related levels; the micro, the mesa, all set in the macro context of the enterprise culture. A strength of the work is the multiple levels of analysis which sheds new light on entrepreneurial learning as part of the entrepreneurial process. The result is a processual view that captures, conceptualises and explains the transitive process of becoming an entrepreneur.' -- Alistair R. Anderson, The Robert Gordon University, UK'In this book Karatas-Özkan and Chell show great clarity in dealing with a range of complex issues. They articulate these in a manner which makes them interesting and comprehensible and in a fashion which impressively interweaves theory, practice and method.' -- Sarah L. Jack, Lancaster University, UKTable of ContentsContents: 1. Introduction 2. Setting the Discursive Context: Enterprise Culture Debates in the UK 3. Academic Discourses on Entrepreneurship 4. Nascent Entrepreneurs: Characteristics of Nascent Entrepreneurs and Entrepreneurial Learning 5. Methodological Approach: Social Constructionist Paradigm and Bourdieu’s Relational Methodology 6. Research Design and Methods 7. Case Study I: KBrandArt – A Story of the Venturing Process 8. Case Study II: Setting up R-Games – Rosie’s Venturing Story 9. A Multi-layered Framework of Nascent Entrepreneurship from a Learning Perspective 10. Conclusions and Implications for Research, Policy and Practice References Index

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Book SynopsisOne of the major challenges for modern organizations is the management of individual and collective knowledge, which is at the root of specific practices designed to optimize knowledge acquisition, maintenance and application. There are, however, still a disproportionately low number of studies focused on the structure and nature of knowledge. This book tackles the subject of daily knowledge: the knowledge related to everyday tasks. How does this knowledge present itself in the mind? How do we acquire and preserve it? To answer these questions, the authors explore a number of techniques which help to keep track of information produced in collaborative activity and extract knowledge by aggregating these traces.Table of ContentsPreface xiNada MATTA 1 Chapter 1 Daily Knowledge 1Nada Matta 1.1. Knowledge 1 1.2. Daily knowledge 5 1.3. Individual versus collaborative knowledge 7 1.3.1. Difference in the nature of captured knowledge 7 1.3.2. Difference in the dimension to be considered 8 1.3.3. Difference in capturing of knowledge 9 1.4. Challenge to manage daily knowledge 10 1.5. Conclusions 15 1.6. Bibliography 16 Chapter 2 Traceability 21Nada MATTA and Fatima BERRICHE 2.1. Traces 21 2.2. Profiling approaches 23 2.2.1. Experience-based reasoning 25 2.2.2. Example: profiling in crisis management 26 2.3. Traceability of information 28 2.4. Traceability of knowledge 30 2.5. Conclusions 32 2.6. Bibliography 33 Chapter 3 Traceability and Structuring of Decision-making 35Nada MATTA and Guillaume DUCELLIER 3.1. Decision-making 35 3.2. Cooperative decision-making 37 3.2.1. Design rationale 38 3.2.2. Representation of the dynamics of problem-solving 41 3.3. Conflict management 45 3.3.1. Prevention methods 45 3.3.2. Argumentation methods 46 3.3.3. Negotiation methods 47 3.4. Conflict types 47 3.5. Traceability of design rationale 49 3.5.1. Memory meetings 49 3.5.2. Project memory building 55 3.6. Integrating traceability in PLM tools 57 3.6.1. Windchill and project management 59 3.6.2. The organizations of elements in Windchill 62 3.6.3. Project memory within Windchill 64 3.7. Conclusion 67 3.8. Bibliography 68 Chapter 4 Classifications and Aggregation of Traces 73Xinghang DAI, Nada MATTA and Guillaume DUCELLIER 4.1. Classification 73 4.1.1. Heuristic classification 74 4.1.2. Knowledge discovery 76 4.1.3. Hierarchical classification 78 4.2. Cooperative knowledge aggregation 80 4.2.1. Cooperative knowledge ontology 81 4.2.2. Graphs representing relations between concepts in project memory 84 4.3. CKD classification algorithms 87 4.4. Conclusions 90 4.5. Bibliography 91 Chapter 5 Exapmple of Traceability and Classifications of Decision-making 95Xinghang DAI, Nada MATTA, Guillaume DUCELLIER, Tatiana REYES 5.1. Example of software design projects 95 5.1.1. Problem-solving knowledge 96 5.1.2. Management knowledge 100 5.1.3. Example analysis 105 5.2. Example of PLM system design 106 5.2.1. Problem-solving knowledge 107 5.2.2. Management knowledge 111 5.2.3. Example analysis 114 5.3. Example of ecodesign projects 115 5.3.1. Problem-solving knowledge 116 5.3.2. Management knowledge 119 5.3.3. Example analysis 120 5.4. Conclusion 120 5.5. Bibliography 122 Chapter 6 Communication, CMC and Email: A Brief Survey 123Hassan ATIFI 6.1. Introduction 123 6.2. What is communication? 124 6.2.1. Traditional view of communication 124 6.2.2. Interactional view of communication 125 6.3. The pragmatics of interactions 128 6.3.1. Ethnography of communication 129 6.3.2. Interaction analysis 130 6.4. Pragmatics and speech acts 131 6.4.1. J.L. Austin 131 6.4.2. J.R. Searle 132 6.5. Computer-mediated communication 133 6.5.1. CMC, interaction and emotion 134 6.5.2. CMC, culture and multilingualism 137 6.6. CMC, e-mail and knowledge management 140 6.6.1. CMC and e-mail 140 6.6.2. CMC and knowledge management 142 6.7. Conclusions 143 6.8. Bibliography 144 Chapter 7 Traceability of Communications in Software Design 153François RAUSCHER, Hassan ATIFI and Nada MATTA 7.1. Introduction 153 7.2. Problem-solving 154 7.3. Software development process 155 7.4. Related works on e-mail analysis 155 7.5. Project knowledge extraction from e-mails 156 7.5.1. Classification of e-mails 157 7.5.2. Message analysis 158 7.6. Example 160 7.6.1. Example description 160 7.6.2. E-mail analysis 162 7.6.3. Message content analysis 167 7.7. Context-aware algorithm 169 7.8. Conclusion 172 7.9. Bibliography 174 Chapter 8 Traceability of Actions in Crisis Management 179Mohamed SEDIRI, Nada MATTA and Sophie LORIETTE 8.1. Introduction 179 8.2. Crisis management 180 8.2.1. Explorations of the state of the art in crisis management help to identify three management styles 182 8.3. Decision-making in crisis situations 184 8.4. Decision-making support using experience feedback 187 8.4.1. Experience feedback: collection and modeling 188 8.5. Clever crisis management system (CCS) framework 193 8.5.1. CCS: a system of state/event 195 8.5.2. Situation organization in a database 197 8.5.3. Interaction between the system and actor 199 8.5.4. Implementation structure of situation base 201 8.5.5. The choice of the maps system 202 8.6. Traceability of the experience feedback 204 8.7. Human–machine interface of CCS 205 8.8. Example 208 8.9. Conclusion 210 8.10. Bibliography 211 Chapter 9 Traceability in Problem-solving Processes 215Elisabeth KUNTZ, Eric REUBREZ, Laurent GENESTE, Juan Camilo ROMERO, Valentina LLAMAS and Aymeric DE VALROGER 9.1. Introduction 215 9.2. Problem-solving processes 216 9.2.1. Problem context description 217 9.2.2. Analysis 217 9.2.3. Proposal and evaluation of action plans 218 9.3. Traceability and reuse 219 9.4. ProWhy 224 9.4.1. ProWhy: problem-solving process support 225 9.4.2. ProWhy: reuse of past experiences 230 9.5. Conclusion 231 9.6. Bibliography 231 Conclusion 235Nada MATTA List of Authors 241 Index 243

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Book SynopsisThis book explores the relationships between knowledge management (KM) processes and innovation management. The geographical extension of markets and intensification of competition have led firms to experiment with novel approaches to innovation. New organizational forms emerged in which firms collaborate with various stakeholders to create, absorb, integrate and protect knowledge. This book explores how knowledge management processes evolve with firms' implementation of interactive, collaborative and open innovation models and it identifies the various knowledge types and processes involved throughout the different phases of the innovation process. The authors provide operational typologies for understanding innovative firms' capabilities and knowledge management practices and also discuss the main properties of four models of interactive innovation, namely open innovation, user-centric innovation, community-based innovation and crowdsourcing.Table of ContentsGeneral Introduction vii Chapter 1. Innovation Processes, Innovation Capabilities and Knowledge Management 1 1.1. Does knowledge management improve the performance of innovating enterprises? 2 1.1.1. Does empirical research confirm the existence of a connection between knowledge management and the performance of innovative enterprises? 2 1.1.2. Beyond the enterprise: knowledge management, innovative territories and innovation projects 4 1.2. Innovation capability and knowledge management 7 1.2.1. The decomposition of innovation: invention and commercialization 8 1.2.2. Innovation activities and aptitudes 11 1.2.3. Dynamic capability and knowledge processes 15 1.2.4. Innovation capability as dynamic capability rooted in the management of knowledge 17 Chapter 2. Knowledge Typology and Knowledge Processes at the Service of Innovation 21 2.1. Knowledge generation 24 2.1.1. Knowledge creation: a process of combination/recombination of background knowledge 25 2.1.2. Absorption and integration of knowledge 31 2.2. Knowledge application 35 2.2.1. Codification and personalization: two complementary strategies of knowledge alignment 36 2.2.2. The role of architectural knowledge in the process of knowledge alignment 39 2.3. Knowledge valorization 42 2.3.1. Patents: protection and knowledge management instruments 44 2.3.2. Cooperation agreements: instruments of anticipation of knowledge management strategies 48 Chapter 3. Managing Knowledge to Innovate: Open and Distributed Innovation Models 53 3.1. Open innovation 54 3.1.1. The concept of open innovation 55 3.1.2. The two facets of open innovation 56 3.1.3. Open innovation modalities 57 3.1.4. The importance of intellectual protection 58 3.1.5. Advantages and drawbacks of open innovation 59 3.1.6. Implementation of open innovation 61 3.2. User innovation 61 3.2.1. The concept of user innovation 63 3.2.2. Lead users activities 65 3.2.3. Competencies of user-innovators 66 3.2.4. Implementation of user innovation 68 3.3. Innovating with communities 72 3.3.1. Social interactions and knowledge production within communities 74 3.3.2. Communities in the firm: between governance and spontaneity 75 3.3.3. Innovating with external communities: the role of the middleground 77 3.4. Crowdsourcing 79 3.4.1. A typology of crowdsourcing 79 3.4.2. The relevance of crowdsourcing for innovation 82 3.4.3. Crowdsourcing platforms 83 3.4.4. Crowdsourcing and other open innovation models 85 General Conclusion 87 Bibliography 91 Index 111

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Book SynopsisInformation and communication technologies have increased their share of services in contemporary economic exchanges. We are witnessing a transformation of modern economies characterized by a predominant role of information and knowledge in the production of wealth. In order to make this intangible resource bear fruit, organizations are looking for ways, methods, procedures, processes and technical solutions to efficiently manage knowledge Within a framework of research into synergies and resource interdependence, organizations also rely on strategic alliances (joint venture), mergers or other legal forms of association that have an impact on knowledge management. This book explores the range of knowledge management techniques.Table of ContentsIntroduction ix Part 1 A Systemic Approach to the Organization Based on Knowledge Management and its Tools 1 Chapter 1 Theoretical Anchoring of Knowledge 3 1.1 Individual knowledge and skills 4 1.2 From individual learning to organizational learning 9 1.3 Knowledge management 16 1.4 Knowledge management systems 23 1.5 Communities, teams and knowledge management 26 1.6 Knowledge management and cultures 31 Chapter 2 The Design of the Learning Organization 37 2.1 From the systemic approach to the organizational design 37 2.2 Proposal of an organizational design for knowledge management: "learning organization design" 44 Part 2 Emergence of a New Design: that of the Learning Organization 61 Chapter 3 Real-World Access Methodology 63 3.1 Methodological choices 64 3.2 The field of research 67 3.3 Data collection 85 3.4 Processing of the collected data 92 Chapter 4 Case Study 99 4.1 Design of the learning organization SCCC (before the merger) 99 4.2 Design of the learning organization SCCC (period of merger with N) 108 4.3 Design of the learning organization NSN (post-merger) 114 4.4 Overview of the three phases 122 Chapter 5 Emergence of a New Organizational Design 127 5.1 Emergence of a design of the learning organization 127 5.2 Emergence of a new organizational design in view of the impact of culture 130 5.3 Emergence of a new organizational design when faced with knowledge boundaries 131 Conclusion 139 Bibliography 147 Index 171

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Book SynopsisIn recent years, university?industry?government interactions have come to the forefront as a method of promoting economic growth in increasingly knowledge-based societies.This ground-breaking new volume evaluates the capacity of the triple helix model to represent the recent evolution of local and national systems of innovation. It analyses both the success of the triple helix as a descriptive and empirical model within internationally competitive technology regions as well as its potential as a prescriptive hypothesis for regional or national systems that wish to expand their innovation processes and industrial development. In addition, it examines the legal, economic, administrative, political and cognitive dimensions employed to configure and study, in practical terms, the series of phenomena contained in the triple helix category. This book will have widespread appeal amongst students and scholars of economics, sociology and business administration who specialise in entrepreneurship and innovation. Policy-makers involved in innovation, industrial development and education as well as private firms and institutional agencies will also find the volume of interest.Trade Review‘. . . this book offers a comprehensive and in-depth exploration of the capitalization of knowledge and the triple helix model. . . this book will undeniably be of interest to widespread audiences of students and scholars with backgrounds in higher education, entrepreneurship and innovation. Policy makers, business managers, and researchers involved in innovation, industrial development and education will also find in this book an indispensable guidepost and comprehensive and authoritative insights into crucial issues of a knowledge-based economy.’ -- Soo Jeung Lee and Thanh Ha Ngo, Higher Education‘. . . this book adds welcome breadth, but especially depth, to the triple helix idea.’ -- Paul Temple, London Review of Education‘This book is an authoritative confirmation of the critical role that knowledge plays in economic transformation. It is an indispensable roadmap for new research programmes and a guidepost for policy makers around the world.’ -- Calestous Juma, Harvard Kennedy School, US‘How to use - and capitalize - knowledge for the benefit of society has become even more urgent in the present financial and economic crisis. This book embraces the tensions inherent in the complex governance of research and innovation. It argues for strategies appropriate to the behaviour of complex adaptive systems in an evolutionary mode, thereby highlighting in a timely manner the necessary fit between organizational forms and the epistemological structure of knowledge in the overall context of a fertile investment climate.’ -- Helga Nowotny, European Research Council, WWTF Vienna Science and Technology Fund, AustriaTable of ContentsContents: Introduction: Anti-cyclic Triple Helix Riccardo Viale and Henry Etzkowitz PART I: HOW TO CAPITALIZE KNOWLEDGE 1. Knowledge-driven Capitalization of Knowledge Riccardo Viale 2. ‘Only Connect’: Academic–Business Research Collaborations and the Formation of Ecologies of Innovation Paul A. David and J. Stanley Metcalfe 3. Venture Capitalism as a Mechanism for Knowledge Governance Cristiano Antonelli and Morris Teubal 4. How Much Should Society Fuel the Greed of Innovators? On the Relations between Appropriability, Opportunities and Rates of Innovation Giovanni Dosi, Luigi Marengo and Corrado Pasquali 5. Global Bioregions: Knowledge Domains, Capabilities and Innovation System Networks Philip Cooke 6. Proprietary versus Public Domain Licensing of Software and Research Products Alfonso Gambardella and Bronwyn H. Hall PART II: TRIPLE HELIX IN THE KNOWLEDGE ECONOMY 7. A Company of their Own: Entrepreneurial Scientists and the Capitalization of Knowledge Henry Etzkowitz 8. Multi-level Perspectives: A Comparative Analysis of National R&D Policies Caroline Lanciano-Morandat and Eric Verdier 9. The Role of Boundary Organizations in Maintaining Separation in the Triple Helix Sally Davenport and Shirley Leitch 10. The Knowledge Economy: Fritz Machlup’s Construction of a Synthetic Concept Benoît Godin 11. Measuring the Knowledge Base of an Economy in Terms of Triple-Helix Relations Loet Leydesdorff, Wilfred Dolfsma and Gerben Van der Panne 12. Knowledge Networks: Integration Mechanisms and Performance Assessment Matilde Luna and José Luis Velasco Index

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Book SynopsisWith this selection of previously published articles, Professor Acs provides a guided tour to the leading ideas in knowledge spillover theory. The volume not only includes some of the foundational writings on the use of knowledge in business and industry, but also brings us right up to date with some seminal articles illustrating the latest thinking on entrepreneurship, the knowledge spillover theory and the knowledge filter.Professor Acs has written a new, authoritative introduction, which provides a comprehensive overview and informative discussion of the subject.Trade Review‘The Knowledge Spillover Theory of Entrepreneurship stands as a welcome contribution to entrepreneurship and management literature.’ -- James Cunningham, Journal of EntrepreneurshipTable of ContentsContents: Acknowledgements Introduction The Search for Intra-temporal Knowledge Spillovers Zoltan J. Acs PART I KNOWLEDGE 1. F.A. Hayek (1945), ‘The Use of Knowledge in Society’ 2. Joseph A. Schumpeter (1947), ‘The Creative Response in Economic History’ 3. Kenneth J. Arrow (1962), ‘Economic Welfare and the Allocation of Resources for Invention’ 4. William J. Baumol (1968), ‘Entrepreneurship in Economic Theory’ 5. Harvey Leibenstein (1968), ‘Entrepreneurship and Development’ PART II KNOWLEDGE AND THE FIRM 6. Robert E. Lucas, Jr. (1978), ‘On the Size and Distribution of Business Firms’ 7. Zvi Griliches (1979), ‘Issues in Assessing the Contribution of Research and Development to Productivity Growth’ 8. Boyan Jovanovic (1982), ‘Selection and the Evolution of Industry’ 9. Ariél Pakes and Shmuel Nitzan (1983), ‘Optimum Contracts for Research Personnel, Research Employment, and the Establishment of “Rival” Enterprises’ 10. Zoltan J. Acs and David B. Audretsch (1988), ‘Innovation in Large and Small Firms: An Empirical Analysis’ 11. David S. Evans and Boyan Jovanovic (1989), ‘An Estimated Model of Entrepreneurial Choice under Liquidity Constraints’ PART III ENDOGENOUS TECHNICAL CHANGE 12. Paul M. Romer (1990), ‘Endogenous Technological Change’ 13. Paul S. Segerstrom, T.C.A. Anant and Elias Dinopoulos (1990), ‘A Schumpeterian Model of the Product Life Cycle’ 14. Philippe Aghion and Peter Howitt (1992), ‘A Model of Growth through Creative Destruction’ PART IV INTRA-TEMPORAL KNOWLEDGE SPILLOVERS 15. Adam B. Jaffe (1989), ‘Real Effects of Academic Research’ 16. Adam B. Jaffe, Manuel Trajtenberg and Rebecca Henderson (1993), ‘Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations’ 17. Zoltan J. Acs, David B. Audretsch and Maryann P. Feldman (1994), ‘R&D Spillovers and Recipient Firm Size’ 18. Luc Anselin, Attila Varga and Zoltan Acs (1997), ‘Local Geographic Spillovers between University Research and High Technology Innovation’ 19. Peter Thompson and Melanie Fox-Kean (2005), ‘Patent Citations and the Geography of Knowledge Spillovers: A Reassessment’ PART V KNOWLEDGE SPILLOVERS AND NEW FIRM FORMATION 20. James J. Anton and Dennis A. Yao (1994), ‘Expropriation and Inventions: Appropriable Rents in the Absence of Property Rights’ 21. Lynne G. Zucker, Michael R. Darby and Marilynn B. Brewer (1998), ‘Intellectual Human Capital and the Birth of U.S. Biotechnology Enterprises’ 22. David B. Audretsch (1995), ‘New Firms’ 23. Scott Shane (2001), ‘Technological Opportunities and New Firm Creation’ 24. Boyan Jovanovic (2001), ‘New Technology and The Small Firm’ 25. Zoltan J. Acs and Attila Varga (2002), ‘Geography, Endogenous Growth, and Innovation’ 26. Claudio Michelacci (2003), ‘Low Returns in R&D Due to the Lack of Entrepreneurial Skills’ PART VI THEORETICAL EXTENSIONS AND EVIDENCE 27. Bo Carlsson, Zoltan J. Acs, David B. Audretsch and Pontus Braunerhjelm (2009), ‘Knowledge Creation, Entrepreneurship, and Economic Growth: A Historical Review’ 28. Zoltan J. Acs, Pontus Braunerhjelm, David B. Audretsch and Bo Carlsson (2009), ‘The Knowledge Spillover Theory of Entrepreneurship’ 29. Zoltan Acs, Lawrence A. Plummer and Ryan Sutter (2009), ‘Penetrating the Knowledge Filter in “Rust Belt” Economies’ 30. David B. Audretsch and Erik E. Lehmann (2005), ‘Does the Knowledge Spillover Theory of Entrepreneurship Hold for Regions?’ 31. Zoltan J. Acs and Attila Varga (2005), ‘Entrepreneurship, Agglomeration and Technological Change’ PART VII THE ENTREPRENEUR 32. Edward P. Lazear (2005), ‘Entrepreneurship’ 33. Jarle Møen (2005), ‘Is Mobility of Technical Personnel a Source of R&D Spillovers?’ 34. Thomas Hellmann (2007), ‘When Do Employees Become Entrepreneurs?’ 35. Hans K. Hvide (2009), ‘The Quality of Entrepreneurs’ Name Index

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Book SynopsisThis book explores the distinct nature of innovation in medium technology industrial sectors - which are the key to European international competitiveness - and examines the recent changes of networks within regional clusters. The authors present best-practice management and regional strategies, and develop an original and coherent theoretical framework for the analysis of innovation processes called 'Territorial Knowledge Management'. They concentrate on the territorial dimension and the cognitive economics approach, and go beyond the traditional focus on R&D in high-tech sectors. The pivotal role of intermediate institutions in the governance of modern co-ordinated market economies is also highlighted. Working towards defining new guidelines for creating networks of competence centers and removing barriers to the enlargement of knowledge and innovation networks in Europe, this book will prove an enlightening read for those with an interest in postgraduate level management and innovation studies. Management and policy-making practitioners at both the regional and European level will also find much to interest them.Trade Review'This work is a new, valuable reference and tool for scholars, students, practitioners and policymakers interested in knowledge, innovation, regional growth and competitiveness.' -- Pier Paolo Patrucco, Italian Journal of Regional Science'This book is remarkable for several reasons. It provides highly relevant empirical analysis into a fundamental but under-researched area, namely medium technology industries. It proposes a new theoretical approach which builds on cognitive economics to explain how innovation in these industries is generated by interactive learning. It develops important policy implications based on the concept of governance. In doing so, the authors of this book are able to successfully blend together micro to macro levels of analysis as well as regional and industrial economics with public policy. The book should be carefully read by economists and social scientists, policy makers and businessmen interested in innovation at the regional level.' -- Luigi Orsenigo, University of Brescia and Bocconi University, ItalyTable of ContentsContents: 1. Introduction 2. The Role and Characteristics of Medium-tech Sectors 3. Innovation Patterns and Best Practices in Medium-technology Networks 4. The Analysis of Regional Knowledge Networks 5. The Approach of Knowledge Networks in Innovation Policy with Staszek Walukiewicz Bibliography Index

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Book SynopsisGlobal Knowledge Work is an up-to-date account of theoretical approaches and empirical research in the multi-disciplinary topic of global knowledge workers from a relational and diversity perspective.This informative volume includes contributions from international scholars and practitioners who have been working with the concept of global knowledge workers from a number of different perspectives, including personal and academic life trajectories. They reveal that the relational framework of the three dimensions of analysis (macro-meso-micro) is relevant for analyzing the phenomenon of global knowledge workers, as expertise and specialized knowledge and its innovative application, together with the attraction and retention of talent remain key topics in the current socioeconomic conditions.With a wealth of original research, this book will strongly appeal to researchers, practitioners, academics and managers in the fields of diversity, organizational studies, knowledge management and human resources.Contributors include: J. Adelstein, B. Al-Jenaibi, K. Chalkiti, P.H. Christensen, G. Gaio Santos, P. Harrigan, L. Harris, W. Harvey, P.V. Ilavarasan, O. Kyriakidou, B. Lange, J. Leah, C.M. Malish, P. Manolopoulos, K.-P. Nikolopoulos, M. Psoinos, K. Sakellariou, J. Schröder, L. WarrenTable of ContentsContents: Introduction PART I: SOCIO-ECONOMIC CONTEXT OF KNOWLEDGE WORK 1. What Makes a Knowledge Society? Privileging Discourses Jennifer Adelstein 2. Global Knowledge Workers: An Eye on the Senior Executives of the Middle East by Stanton Chase International Panos Manolopoulos and Konstantina Sakellariou PART II: MOBILITY, MIGRATION, AND DIVERSITY MANAGEMENT OF KNOWLEDGE WORKERS 3. Immigration and Emigration Decisions Among Highly Skilled British Expatriates in Vancouver William S. Harvey 4. Transnationality in Small-scale Cities? Integration of, and Cooperation between, Creative and Knowledge-intensive Workers in the Stagnating Socio-economic Landscape of Leipzig (East Germany) Bastian Lange and Juliane Schröder 5. Entrepreneurship, Culture and Mobility of Knowledge Workers in European ICT SMEs: A Theoretical Framework Kanellos-Panagiotis Nikolopoulos 6. The Important Role of Refugee and Migrant Community Organizations in Bringing Out Highly Educated Refugees’ Potential as Knowledge Workers Maria Psoinos 7. Social Exclusion in Information Capitalism: A Study of Online Recruitment Advertisements in the Indian Software Industry C.M. Malish and P. Vigneswara Ilavarasan PART III: RELATIONALITY, SOCIAL NETWORKS AND KNOWLEDGE WORK 8. How the Emergent Properties of Social Networks Support Knowledge Sharing in Dynamic Labour Environments: Lessons from the Hospitality Sector in Australia’s Northern Territory Kalotina Chalkiti 9. Relationality in Global Knowledge Work Teams Olivia Kyriakidou 10. Women in Public Relations and Profit Organizations in the UAE: How Gender Influences Practice Badreya Al-Jenaibi PART IV: KNOWLEDGE WORKERS, TECHNOLOGY AND SKILLS DEVELOPMENT 11. The Role of Technology-enhanced Learning in the Development of Global Knowledge Workers Lisa Harris, Paul Harrigan and Jean Leah 12. Digital Skills for Digital Disruption and Value Creation Lorraine Warren PART V: MOTIVATIONS AND FORMS OF CAPITAL IN THE CONTEXT OF KNOWLEDGE WORK 13. Autonomy as a Stressor in Knowledge Work Peter Holdt Christensen 14. Multiple Understandings of Time: Academics’ Experiences of the Work–Family Relationship Gina Gaio Santos Index

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Book SynopsisThis critical ethnographic study of knowledge workers and knowledge-intensive organization workplaces focuses on the issues of timing and schedules, the perception of formality and trust and distrust in software development as well as motivation and occupational identity among software engineers. The book is a cross-cultural, comparative study of American and European high-tech workplaces that addresses the issues currently of interest to both Academia and to practice and provides a rare international comparison of organizations from both sides of the Atlantic. Its conclusions shed new light on the problems typical for software projects. The book specifically focuses on, and gives voice to, the perspectives of knowledge workers rather than managers and will thus be useful to not only scholars and human resource managers from software companies, but also to high-tech professionals. Scholars and professionals in organization studies, management, HRM, innovation and knowledge management will find this book engaging and enlightening.Trade ReviewThe knowledge worker is a welcome addition to the ethnographic investigation of high-tech work. The author's thoughtful comparative approach, contrasting the oft-studied American knowledge workers with their less familiar Polish counterparts, offers a refreshing take on the post industrial workplace and demonstrates once again the profound changes that high-tech work has made in the nature of work, the worker and the workplace, far beyond Silicon Valley. - Gideon Kunda, Tel Aviv University, Israel The body of research addressing knowledge-intensive and creative work is massive and is quickly growing, but Dariusz Jemielniak manages to bring some new issues and perspectives to the table in his carefully designed study of the Polish and American computer programming community, making concepts such as time, trust, and motivation constitutive elements of contemporary knowledge work. Being able to bring together ethnographic research and organization theory and social science more broadly, The New Knowledge Workers is a significant contribution to the understanding of contemporary working life in the so-called ''knowledge society''. - Alexander Styhre, University of Gothenburg, Sweden Jemielniak's book combines detailed comparative ethnographic observations with organizational analysis to highlight how little we actually know about the operations of knowledge-intensive organizations. Arguing that ancient commonplaces about a ''greener'', more egalitarian, post-Taylorist future rely on ignoring real-time observations of real people in context, Jemielniak's portrait of the knowledge society of the 21st century shows it to be more like the Fordist society of the 20th century than the utopia so many futurists choose to imagine. His book tells us it is time to begin observing again if we wish to ''know'' rather than ''believe'' what the future holds for us. --- Davydd J. Greenwood, Cornell University, USTable of ContentsContents: 1. Outline of the Research Project 2. Work 3. Knowledge-intensive Organizations 4. Knowledge Workers 5. Research Methods and the Organizations Studied 6. Modern Bureaucracies 7. High Time in High-tech 8. Trust in Knowledge Work 9. Pleasure, Motivation and Identity in Knowledge Work Summary References Index

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Book SynopsisCollaborating with Customers to Innovate explores the collaborative potential offered by customers in digital environments to enhance the effectiveness of new product development. The internet has created the problem of an increasing need for innovation in a context where information is transparent, competitors are just one click away, and product lifecycles are shrinking. However, as the book demonstrates, the internet also provides the solution - enabling new forms of value creation with customers and an efficient way to harness distributed competences. Specifically, the authors highlight the role that digital environments play in allowing firms to engage customers in product design and testing. They develop a major review of web-based tools for marketing interaction and then explore the opportunities for sustaining innovation through collaboration beyond the customer-firm relationship. The book enriches an important debate in management and in academia on the new product development process. It encompasses marketing approaches and is sharply focused on the opportunities that digital technologies have created for involving customers in collaborative innovation, and actionable recommendations for putting collaborative innovation to work. The book will appeal to academics as well as practitioners in marketing and new product development as well as MBA students on marketing and new product development courses.Trade Review‘Collaborating with Customers to Innovate is an excellent book for scholars. . . thanks to its robust framework and its precise links to the existing literature, I would recommend it as a required reading for all those (numerous) academics who want to get acquainted with this crucial subject.' -- Roberto Verganti, R&D Management'Customers have become a critical innovation partner for companies in many industries. At the same time, new information technologies have made such collaborative innovation with customers more feasible and cost-effective. Prandelli, Sawhney, and Verona's book resonates this important theme and contributes to our understanding of the associated management concepts and practices. Definitely a valuable book - for both academic researchers as well as practitioners!' -- Satish Nambisan, Rensselaer Polytechnic Institute, US'The profound research effort and the farsightedness of the theories elaborated make this book an essential guide to innovation through collaboration. As a matter of fact, many of the techniques described here are being leveraged by IBM today to improve the relationship with its customers.' -- Guido Gerlotti, Vice President, ibm.com Global Web Sales'Prandelli, Sawhney and Verona fuse real world illustrations of customer driven innovation with rigorous academic analysis. As a virtual knowledge broker in the automotive marketplace, Edmunds has experienced firsthand what Prandelli, Sawhney and Verona have so insightfully described. I applaud them for sharing these insights with managers the world over in such an actionable and perceptive manner.' -- Avi Steinlauf, President of Edmunds.comTable of ContentsContents: Introduction 1. An Increasing Need for Innovation 2. The Promise of Collaborative Innovation 3. Tools for Collaborative Innovation 4. Managing an Integrated Portfolio of Tools for Collaborative Innovation 5. From Collaborative to Distributed Innovation 6. Virtual Communities 7. Virtual Knowledge Brokers 8. Open-Source Systems 9. Conclusions References Index

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Book SynopsisThis thoroughly revised second edition of the Handbook on the Knowledge Economy expands the range of issues presented in the first edition and reflects important new progress in research about knowledge economies. Readers with interests in managing knowledge- and innovation-intensive businesses and those who are seeking new insights about how knowledge economies work will find this book an invaluable reference tool. Chapters deal with issues such as open innovation, wellbeing, and digital work that managers and policy makers are increasingly asked to respond to. Contributors to the Handbook are globally recognized experts in their fields providing valuable guidance. This comprehensive and stimulating Handbook will prove an important resource for practitioners and academics in diverse areas of interest, including: knowledge management, innovation management, knowledge policy, social epistemology, and development studies. Contributors: J. Adelstein, M. Bennett, R. Bridgstock, S. Clegg, H.-J. Engelbrecht, R. Harwood, G. Hearn, T. Kastelle, N. Kay, R.A. Lanham, S. Macaulay, J.L. Mast, N. Maxell, S. Moger, J. Potts, D. Rooney, D. Simoes-Brown, J. Steen, N. Stehr, R. ten BosTrade Review’The second companion volume of the Handbook on the Knowledge Economy is a worthy companion to the highly successful original volume published in 2005, extending its theoretical depth and developing its coverage. Together the two volumes provide the single best work and reference point for knowledge economy studies. The second volume with fifteen original essays by renowned scholars in the field, provide insightful and robust analyses of the development potential of the knowledge economy in all its aspects, forms and manifestations.’ -- Michael A. Peters, University of IllinoisTable of ContentsContents: Preface 1. Knowledge is People Doing Things, Knowledge Economies are People Doing Things with Better Outcomes for More People David Rooney, Greg Hearn and Tim Kastelle PART I: CONCEPTS 2. Knowledge Economy Nico Stehr and Jason L. Mast 3. Negiotiating a Knowledge Economy: Juggling Knowledge, Truth and Power Jennifer Adelstein and Stewart Clegg 4. Knowledge-based Economies and Subjective Wellbeing Hans-Jürgen Engelbrecht 5. Knowledge, Learning and Pain René ten Bos 6. The Economics of Attention: Economic Doctrines, Social Structures, Political Systems Richard A. Lanham 7. What Does a Knowledge Economy Actually Look Like? Neil Kay 8. A Conceptual Model of Capability Learning for the Twenty-first-Century Knowledge Economy Ruth Bridgstock and Greg Hearn PART II: PRACTICES 9. Communities of Practice: Reflections on Lessons Learned at Rio Tinto and the Interdependent Relationship between Technologies and Communities Mark Bennett 10. Open Innovation: From Marginal to Mainstream Roland Harwood and David Simoes-Brown 11. How Universities Can Help Humanity Learn How to Resolve the Crises of Our Times – from Knowledge to Wisdom: The University College London Experience Nicholas Maxwell 12. Network Activation in the Knowledge Economies Susan Moger 13. Creative Industries and Innovation in a Knowledge Economy Jason Potts 14. Knowledge-based Business Models: A Digital Network Strategy Tim Kastelle 15. The Past, Present and Future of Social Network Analysis in the Study of Innovation John Steen and Sam MacAulay Index

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Book SynopsisCybersecurity could be defined as, beginning of the concept of trust and belief in cyber transactions. The era of computing began in the 20th century, with an enormous investment on computational research. Software programing languages were the foundational blocks of history of computing. Progressive research then led to networking, bringing about the formation of connectivity. Along with these creations, there was an accompanying factor of compromise on data privacy and hacking of data. This factor was the introduction to cyber security.This book is primarily created for the objective of knowledge sharing and knowledge-enabling on the conceptual ideologies of the cybersecurity. This book is aimed at students, early-career researchers, and also advanced researchers and professionals. The case studies described in the book create renewed knowledge on the innovations built on the applied theories of cybersecurity. These case studies focus on the financial markets and space technologies.

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Book SynopsisIn today’s high-pressured world, digital transformation is everywhere on the agendas of corporate boards and has risen to the top of CEOs’ strategic plans. Artificial intelligence, blockchain, 3D printing, the Internet of Things, and drones are some of the emerging technologies that are already transforming our world. In this fast changing domain— predicted by few and now reality for all how can companies transform today’s challenges into tomorrow’s opportunities?This book is targeted to help a broad audience such as students, professionals, business, and technology managers to transform an old-world brick and mortar organization to a new-world digital leader. The author addresses various questions including: what essential components does digital transformation include, and how does it impact the enterprise? How does convergence of emerging technologies benefit your organization? How can you start transformation and technology planning projects?

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Book SynopsisThe business world has been hearing about Artificial Intelligence (AI) and blockchain. AI was the superstar topic of conversations at the World Economic Forum in Davos, Switzerland this past January 2019. Here, Nick Brestoff, a former attorney who now holds eight (8) patents for business applications that use AI and the breakthrough form of AI -- “deep learning,” provides his readers with a “no math” explanation of deep learning that’s followed by numerous applications in a wide variety of contexts. In this book, he opens the door to his journey of understanding and innovation, all in an effort to empower his readers to come up with business-relevant innovations of their own.

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Book SynopsisThe force-multiplying power of business-technology alignment is acknowledged among the biggest contributors to enterprise success in the digital age. Even so, it is a missed opportunity in most organizations, or at best, restricted to a unidimensional coalition. Successful digital enterprises define alignment between business and technology along multiple dimensions. They invest in this alignment at the level of their culture, strategy, structure, process, intellect (innovation), function, and tactics. A systematic understanding and embracement of these seven dimensions of Business Technology Alignment is at the core of a successful digital enterprise. Using familiar workplace paradigms and relatable examples, this book builds on each dimension of business-technology alignment towards strengthening the foundation on which a successful digital enterprise stands, using tricks and tips not found in textbooks and classrooms. If you are, or aspire to be, in an organization that relies on a convergence of business and technology to achieve success, this book is meant for you. It builds upon fundamental ideas in a manner designed to strike a chord in everyone—from interns to entrepreneurs.

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Book SynopsisHighly Effective Marketing Analytics infuses analytics into marketing to help improve marketing performance and raise analytics IQ for companies that have not yet had much success with marketing analytics.The book reveals why marketing analytics has not yet kept the promise and clarifies confusions and misunderstanding surrounding marketing analytics. Highly Effective Marketing Analytics is a highly practical and pragmatic how-to book.The author illustrates step by step many innovative, practical, and cost-effective methodologies to solving the most challenging real-world problems facing marketers in today’s highly competitive omnichannel environment.

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Book SynopsisJobs, and nature of work as we know it, are changing rapidly. As companies become more ""digital,"" employees need to be empowered to become more innovative. Disruptive changes to work behaviors and business models will have a profound impact on the nature of work and worker.In many industries and countries, the most in-demand occupations, specialties, and skills did not exist 10 or even five years ago, and the pace of change is set to accelerate. This will have a tremendous impact on how the workforce of the future acquires and applies new skills, and how companies organize work to stay nimble and competitive.In this book, experts from industry and academia explore these trends and discuss how innovative companies are leveraging Artificial Intelligence and intelligent tools to make the workforce more inclusive, and enhance and augment human worker rather than replace it.

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Book SynopsisAre you struggling to understand blockchain and cryptocurrency? Do you need a clear explanation for your MBA studies or to make effective decisions in your business? This book unlocks the mysteries of blockchain, giving you: A clear non-technical guide to the language of blockchain, cryptocurrency and distributed ledgers. An insight into the development of cryptocurrencies, the technology which makes them work, and why this is exciting for enterprise. Real life examples of blockchain applications in supply chains, insurance, financial services, utilities, large scale capital projects, and government. Innovative ideas for economic growth emerging from gaming. An overview of future opportunities and perceived threats.

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Book SynopsisInformation technology (IT) risk and information security management are top of mind for corporate boards and senior business leaders. Continued intensity of cyber terrorism attacks, regulatory and compliance requirements, and customer privacy concerns are driving the need for a business-minded chief information security officer (CISO) to lead organizational efforts to protect critical infrastructure and sensitive data. A CISO must be able to both develop a practical program aligned with overall business goals and objectives and evangelize this plan with key stakeholders across the organization. The modern CISO cannot sit in a bunker somewhere in the IT operations center and expect to achieve buy in and support for the activities required to operate a program.This book describes the thought process and specific activities a leader should consider as they interview for the IT risk/information security leader role, what they should do within their first 90 days, and how to organize, evangelize, and operate the program once they are into the job. It provides practical, tested strategies for designing your program and guidance to help you be successful long term. It is chock full of examples, case studies, and diagrams right out of real corporate information security programs. The Business-Minded CISO is a handbook for success as you begin this important position within any company.

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Book SynopsisIn our time of great and uncertain change, business, government, and education must partner in many forms of technical and cultural convergence–for the benefit of both human welfare and economic recovery.This innovative book explores the new relationships connecting computer science, social science, and the humanities. One popular form of artificial social intelligence, recommender systems, can become a far more valuable tool for research on the arts, beginning with movies and computer games, then extending to all the other art forms.While artificial intelligence can be a powerful tool for description of physical reality, it must become both social and cultural if it is to be a valued tool of human expression. Many new developments offer opportunities and challenges for both industry and government policy. This book shows how artificial intelligence and related information technologies can converge successfully with the social sciences and humanities, so together they can achieve maximum benefits for people.

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Book SynopsisThe convergence of blockchain and Internet of things (IoT) powered by data and artificial intelligence (AI) is on the agenda of several big companies and some of them have already started using its implementations, initiatives, and solutions in various projects. In this book, the author calls the convergence of these three technologies: the blockchain of intelligent things.This book is targeted to help a broad audience, including anyone interested in and responsible for vision, projects, and implementations of blockchain, IoT, and AI in medium-sized companies and large enterprises. This would include business and technology managers, IT professionals, and last but not least, business or technology students, looking to broadening their knowledge and expertise. This book is number two in a series of four books.The first chapters of the book take you from the convergence of blockchain and IoT, via an overview of the most important blockchain of things projects such as IOTA, and the industries, which are heavily being disrupted, into the blockchain of intelligent things, which essentially adds the business value of data science and AI. Further topics you will find in this book include chapters such as required skills, jobs and future, industrial IoT (IIoT) platforms, and opportunities, challenges, and trends of the blockchain of intelligent things. Readers looking for a methodology to engage in blockchain, IoT, and/or AI projects, can find a comprehensive description in my previous book New World Technologies: 2020 and Beyond.

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Book SynopsisThis book provides a unique perspective into the mindset of psychology and cybersecurity. It presents a view of incorporating the latest research in cybersecurity and behavior. The newest cybersecurity challenge is not just understanding cybercriminals’ behavior, but our behavior as well, and to realize that some of behaviors could lead us in making bad cybersecurity decisions. By using models and literature rooted in psychology and comparing those to cybersecurity attacks, this book will help those who make crucial cybersecurity decisions to protect their organization, even better decisions. Dr. Brown also presents even a possible theory of cybersecurity. Key areas include: behaviorism; learning models; cybersecurity vulnerabilities; stereotypes; cybersecurity traits; conditioned response; social engineering; deep fakes

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Book SynopsisThis book is an introduction to computers covering relevant topics that include: computers and society, the Internet, social media, Microsoft Office 2019, and high-level programming. The main goals are to help students to define computers and information processing and describe the main concepts related to hardware, software, and their use. The author prepares students to identify how the Internet has changed people’s lives and develops critical thinking about the role of computers in society, recognize the impact of technology in the personal and professional base, to mention a few. Emphasis is placed on developing skills in Word processing, spreadsheets, presentations, and programming algorithms.

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Book SynopsisThis is a book for anyone intrigued by the complexities of digital leadership that require a capability to constantly balance the routines of everyday business with the ability to innovate. Finding the appropriate mix between the dichotomy stability—flexibility has been a delicate task that few, if any, corporations have properly managed to overcome. Why is that? This conundrum becomes acute as businesses embark on digital transformations, an often-painful venture highlighting the deficiencies of traditional management styles but also agile methodologies. They deliver results that are far below initial expectations, provide half-baked digital solutions where potential commercial gains are poorly captured and leveraged, and, far too often, not even identified. Mismatches between technologies, the man-machine (dis)connect, or organizational dysfunctionality are typically identified as root causes, but beneath them lurks a more scathing problem: an inadequate leadership. This inadequacy rests on a lack of holistic insights backed by well-rounded skills and sets of knowledge that are required to understand all aspects of a digital transformation, as well as its participants from employees to customers. Thus, what is needed is a modern take of the Renaissance Man.

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Book SynopsisThis open access book revisits common notions on how to select and recruit the right employees. It reveals that the secret of successful individuals and teams lies in a combination of talent and four important performance indicators, offering an innovative approach that companies can fruitfully adopt. Bas Kodden has studied key performance indicators among over 1,100 executives, senior staff and professionals, including 50 CEOs from leading Dutch companies. His findings put the present recruitment and selection procedures used by many prominent companies in a new light. Moreover, the book not only addresses theory; it also offers a practically applicable model for recruitment, selection and professional development. In closing, the book includes a variety of questionnaires and checklists for HR professionals and executives whose goal is to build sustainable and successful teams and organizations.

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Book SynopsisThis book focuses on knowledge management and learning organizations, showing how they realise entrepreneurship and innovation. Understanding knowledge management as the process of creating, sharing and managing an organization’s information and knowledge, and focusing learning organizations in their collaborations to promote continuous learning are two issues that are critical to the organizational success. As such, this book offers insights into the topic and the appropriate use of the tools and strategies that drive competitive organizations operating on an international or transnational scale.Table of ContentsFactors affecting knowledge management and learning: Exploring the role of diversity, inclusion and organizational citizenship behavior.- Knowledge codification.- Knowledge management: To share or not to share.- Knowledge transfer: An emerging element of a learning organisation in family businesses.- Corporate memory system: Key for experienced based management.- Knowledge management: Looking for success profiles.- The misconception between organizational learning and knowledge management.

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