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In den WarenkorbZustand: New. Focuses on the topic of innovation, analysing it in complex social systems while making innovation understandable and tractable using tools such as computational network analysis and agent-based simulation. Editor(s): Ahrweiler, Petra (University of Bielefeld, Germany). Series: Routledge Studies in Global Competition. Num Pages: 352 pages, 60 black & white illustrations, 22 black & white tables, 60 black & white line drawings. BIC Classification: GTF. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 164 x 241 x 24. Weight in Grams: 658. . 2010. 1st Edition. hardcover. . . . .
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In den WarenkorbZustand: New. Focuses on the topic of innovation, analysing it in complex social systems while making innovation understandable and tractable using tools such as computational network analysis and agent-based simulation. Editor(s): Ahrweiler, Petra (University of Bielefeld, Germany). Series: Routledge Studies in Global Competition. Num Pages: 352 pages, 60 black & white illustrations, 22 black & white tables, 60 black & white line drawings. BIC Classification: GTF. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 164 x 241 x 24. Weight in Grams: 658. . 2010. 1st Edition. hardcover. . . . . Books ship from the US and Ireland.
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Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.