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  • © 2019

Collaborative Innovation Networks

Latest Insights from Social Innovation, Education, and Emerging Technologies Research

  • Combines social metric tools, social network analysis and collective innovation with the most recent happiness research
  • Pioneers the research on the use and emergence of collaborative innovation networks in education and healthcare
  • Uses case studies to demonstrate the effectiveness of these networks in improving creativity, health and happiness

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Table of contents (13 chapters)

  1. Front Matter

    Pages i-x
  2. Innovation Applications

    1. Front Matter

      Pages 73-73
    2. The Bezos-Gate: Exploring the Online Content of the Washington Post

      • Katharina Weitz, Florian Johren, Lukas Seifert, Sha Li, Jiexin Zhou, Oliver Posegga et al.
      Pages 75-90
    3. Identifying Tribes on Twitter Through Shared Context

      • Peter A. Gloor, Andrea Fronzetti Colladon, Joao Marcos de Oliveira, Paola Rovelli, Manuel Galbier, Manfred Vogel
      Pages 91-111
  3. Creativity

    1. Front Matter

      Pages 163-163
    2. Measuring Human-Animal Interaction with Smartwatches: An Initial Experiment

      • Katharina Stolz, Teresa Heyder, Peter A. Gloor, Oliver Posegga
      Pages 165-182
    3. Show Me Your Moves: Analyzing Body Signals to Predict Creativity of Knowledge Workers

      • Marius Stein, Peter A. Gloor, Daniel Oster
      Pages 183-200

About this book

Collaborative innovation networks are cyberteams of motivated individuals, and are self-organizing emergent social systems with the potential to promote health, happiness and individual growth in real-world work settings.

This book describes how to identify and nurture collaborative innovation networks in order to shape the future working environment and pave the way for health and happiness, and how to develop future technologies to promote economic development, social innovation and entrepreneurship. The expert contributions and case studies presented also offer insights into how large corporations can creatively generate solutions to real-world problems by means of self-organizing mechanisms, while simultaneously promoting the well-being of individual workers. The book also discusses how such networks can benefit startups, offering new self-organizing forms of leadership in which all stakeholders are encouraged to collaborate in the development of new products.



Editors and Affiliations

  • Jilin University, Changchun, China

    Yang Song

  • College of Professional Studies, Northeastern University, Boston, USA

    Francesca Grippa

  • MIT Center for Collective Intelligence, Massachusetts Institute of Technology, Cambridge, USA

    Peter A. Gloor

  • Department of Management and Economics, University of Beira Interior, Covilhã, Portugal

    João Leitão

About the editors

Yang Song is an Associate Professor at the Economics School of Jilin University in China. She holds a PhD in Entrepreneurship and Social Networks from the University of Amsterdam and is an expert and the Director of the International Collaboration and Exchange Office of China Future Industry 100 (supervised by the Ministry of Industry and Information Technology of China). She has collaborated closely with the University of Amsterdam, Ben-Gurion University of the Negev and the University of Bremen and has published several papers on entrepreneurship and collaborative innovation networks in leading journals, including the International Journal of Entrepreneurship and Small Business, Journal of Science and Technology Policy Management, and the International Journal of Organisational Design and Engineering.

Francesca Grippa is a Full Teaching Professor and Faculty Director at Northeastern University. She holds a PhD in e-Business Management from the University of Salento, Italy, and was a Visiting Scholar at the MIT Center for Digital Business. Her research interests include collaborative innovation networks, entrepreneurship and change management. Dr Grippa is member of a research project at the MIT Center for Collective Intelligence that focuses on the application of dynamic network analysis to investigate the diffusion of innovation.

Peter A. Gloor is a Research Scientist at the Center for Collective Intelligence at MIT, where he leads a project exploring collaborative innovation networks. He holds a Ph.D in Computer Science from the University of Zurich and was a Postdoc at the MIT Lab for Computer Science. He is also the founder and Chief Creative Officer of the software company galaxyadvisors, and an Honorary Professor at the University of Cologne and Jilin University, Changchun, China. He was previously a partner at Deloitte and PwC, and a manager at UBS. His most recent books are Sociometrics and Human Relationships and Swarm Leadership and the Collective Mind.

João Leitão is an Associate Professor at the University of Beira Interior (UBI), Portugal, and holds a postdoctoral qualification in Technological Change and Entrepreneurship. He is also an Associate Researcher at the CEG-IST, University of Lisbon (Portugal) and External Research Fellow at Instituto Multidisciplinar de Empresa, Universidad de Salamanca, Spain. He is the author or co-author of several scientific books on benchmarking, clusters, cooperation networks, entrepreneurship, entrepreneurship education, innovation, competitiveness and quality of life. He is also the co-editor of the Springer book series Studies on Entrepreneurship, Structural Change and Industrial Dynamics.


Bibliographic Information

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access