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Simulating Innovation : Computer-Based Tools for Rethinking Innovation by Nigel Gilbert and Christopher Watts (2014, Hardcover)
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About this product
Product Identifiers
PublisherElgar Publishing, Incorporated, Edward
ISBN-101849801606
ISBN-139781849801607
eBay Product ID (ePID)202517320
Product Key Features
Number of Pages304 Pages
LanguageEnglish
Publication NameSimulating Innovation : Computer-Based Tools for Rethinking Innovation
Publication Year2014
SubjectOrganizational Behavior, Computer Simulation, General, Research
TypeTextbook
AuthorNigel Gilbert, Christopher Watts
Subject AreaComputers, Technology & Engineering, Business & Economics
FormatHardcover
Dimensions
Item Height0.9 in
Item Weight21.2 Oz
Item Length9.4 in
Item Width6.4 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2013-949790
Dewey Edition23
ReviewsThis book brings together computer models and simulation approaches that allow the investigation of a wide range of innovation related issues, and hence will be of interest for academics and researchers from a variety of innovation related disciplines. -- - Mercedes Bleda, Journal of Artificial Societies and Social Simulation, 'This book brings together computer models and simulation approaches that allow the investigation of a wide range of innovation related issues, and hence will be of interest for academics and researchers from a variety of innovation related disciplines.'
IllustratedYes
Dewey Decimal003.3
Table Of ContentContents: Preface 1. Why Simulate Innovation? 2. The Variability and Variety of Diffusion Models 3. Diffusion and Path Dependence in a Social Network 4. Explore and Exploit 5. Science Models 6. Adopting and Adapting: Innovation Diffusion in Complex Contexts 7. Technological Evolution and Innovation Networks 8. Conclusions Bibliography
SynopsisChristopher Watts and Nigel Gilbert explore the generation, diffusion and impact of innovations, which can now be studied using computer simulations. Agent-based simulation models can be used to explain the innovation that emerges from interactions among complex, adaptive, diverse networks of firms, people, technologies, practices and resources. This book provides a critical review of recent advances in agent-based modelling and other forms of the simulation of innovation. Elements explored include: diffusion of innovations, social networks, organisational learning, science models, adopting and adapting, and technological evolution and innovation networks. Many of the models featured in the book can be downloaded from the book's accompanying website. Bringing together simulation models from several innovation-related fields, this book will prove a fascinating read for academics and researchers in a wide range of disciplines, including: innovation studies, evolutionary economics, complexity science, organisation studies, social networks, and science and technology studies. Scholars and researchers in the areas of computer science, operational research and management science will also be interested in the uses of simulation models to improve the understanding of organisation., Christopher Watts and Nigel Gilbert explore the generation, diffusion and impact of innovations, which can now be studied using computer simulations., This book brings together computer models and simulation approaches that allow the investigation of a wide range of innovation related issues, and hence will be of interest for academics and researchers from a variety of innovation related disciplines. ' - Mercedes Bleda, Journal of Artificial Societies and Social Simulation Christopher Watts and Nigel Gilbert explore the generation, diffusion and impact of innovations, which can now be studied using computer simulations. Agent-based simulation models can be used to explain the innovation that emerges from interactions among complex, adaptive, diverse networks of firms, people, technologies, practices and resources. This book provides a critical review of recent advances in agent-based modeling and other forms of the simulation of innovation. Elements explored include: diffusion of innovations, social networks, organizational learning, science models, adopting and adapting, and technological evolution and innovation networks. Many of the models featured in the book can be downloaded from the book's accompanying website. Bringing together simulation models from several innovation-related fields, this book will prove a fascinating read for academics and researchers in a wide range of disciplines, including: innovation studies, evolutionary economics, complexity science, organization studies, social networks, and science and technology studies. Scholars and researchers in the areas of computer science, operational research and management science will also be interested in the uses of simulation models to improve the understanding of organization.
LC Classification NumberQA76.9.C65W38 2014
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