Innovation is the creation of new, technologically feasible, commercially realisable products and processes and, if things go right, it emerges from the ongoing interaction of innovative organisations such as universities, research institutes, firms, government agencies and venture capitalists.
Innovation in Complex Social Systems uses a "hard science" approach to examine innovation in a new way. Its contributors come from a wide variety of backgrounds, including social and natural sciences, computer science, and mathematics. Using cutting-edge methodology, they deal with the complex aspects of socio-economic innovation processes. Its approach opens up a new paradigm for innovation research, making innovation understandable and tractable using tools such as computational network analysis and agent-based simulation.
This book of new work combines empirical analysis with a discussion of the tools and methods used to successfully investigate innovation from a range of international experts, and will be of interest to postgraduate students and scholars in economics, social science, innovation research and complexity science.
Part I: The Systemic Aspects Of Innovation (Theory) 1.Innovation Is Emergent 2.Innovation Is Evolutionary Part II: The Actors and Networks of Innovation (Empirical Research) 3.Innovation Is Regional 4.Innovation Is Small 5.Innovation Is Big 6.Innovation is Policy-Driven 7.Innovation Is Academic Part III: The Systemic Aspects Of Innovation (Modeling) 8.Innovation Is Computable
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