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Computational Analysis of Firms' Organization and Strategic Behaviour
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Computational Analysis of Firms' Organization and Strategic Behaviour

Book Details

Format Hardback or Cased Book
ISBN-10 041547602X
ISBN-13 9780415476027
Publisher Taylor & Francis Ltd
Imprint Routledge
Country of Manufacture GB
Country of Publication GB
Publication Date Jun 23rd, 2010
Print length 348 Pages
Weight 596 grams
Dimensions 23.80 x 16.20 x 2.30 cms
Ksh 29,700.00
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Management and organization theories have, in the years, developed rich methodological paraphernalia to test hypotheses. This book addresses possible applications of computer simulation to theory building in management and organizational theory.

This book addresses possible applications of computer simulation to theory building in management and organizational theory. The key hypothesis is that modelling and computer simulation provide an environment to develop, test and articulate theoretical propositions. In general, computer simulation provides an experimental environment where researchers are able to play with symbolic representations of phenomena by modifying the model’s structure and activating or deactivating model’s parameters. This environment allows to both generating hypotheses to ex post explain observed phenomena or to ex ante generate distributions of unrealized events thereby envisioning areas for further empirical investigations.

Under a methodological perspective, the volume investigates logics and techniques to design a research strategy grounded on computer simulation. In particular, the articles in the book concentrate on two different techniques, and philosophies, to set up a simulation study: System Dynamics, which is grounded on differential equations and feedback theory, and agent-based modeling. The book describes how computer simulation helps to look into research issues typical to strategic management and organizational theory. In this respect, such themes as firms’ diversification strategies, competitive strategy, rivalry and the impact of role dynamics on organizational performances are explored through the lenses of computer simulation models.


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