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Towards a theoretical model for adaptive entrepreneurial organisations using genetic algorithms

Author: Muzyka, Daniel F. ; De Koning, AliceINSEAD Area: Entrepreneurship and Family Enterprise Series: Working Paper ; 96/85/ENT Publisher: Fontainebleau : INSEAD, 1996.Language: EnglishDescription: 23 p.Type of document: INSEAD Working Paper Online Access: Click here Abstract: This paper proposes the use of genetic algorithm modelling techniques to develop a rigorous theory for adaptive entrepreneurial organisations. In particular, we focus on the need for more rigorous theory of adaptation to sort out the comprehensive action lists that have been generated by years of field research by many people. After describing how a basic genetic algorithm model works, and what assumptions drive the model, we develop a series of propositions which specifically link the GA models to earlier findings on entrepreneurial organisations. The paper is a beginning in the process of building a theoretical model
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This paper proposes the use of genetic algorithm modelling techniques to develop a rigorous theory for adaptive entrepreneurial organisations. In particular, we focus on the need for more rigorous theory of adaptation to sort out the comprehensive action lists that have been generated by years of field research by many people. After describing how a basic genetic algorithm model works, and what assumptions drive the model, we develop a series of propositions which specifically link the GA models to earlier findings on entrepreneurial organisations. The paper is a beginning in the process of building a theoretical model

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