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An experimental approach to intelligent organizational design

 

作者: JamesR. Marsden,   DavidE. Pingry,   Ming‐ChianKen Wang,  

 

期刊: Journal of Organizational Computing  (Taylor Available online 1992)
卷期: Volume 2, issue 2  

页码: 225-242

 

ISSN:1054-1721

 

年代: 1992

 

DOI:10.1080/10919399209540183

 

出版商: Taylor & Francis Group

 

关键词: mental models;semantic network representation;organizational productivity

 

数据来源: Taylor

 

摘要:

Organizations in competitive markets have no guarantee of continued existence. The intelligent firm in such a setting is the firm that can adapt its structure, the one that has the knowledge necessary to change when change is optimal, andto make enough profit to survive.We argue that the intelligent firm must understand the relationships among its structure, its production inputs (including information technology), and its productivity. When market and technological conditions dictate that a change in structure is optimal, the intelligent firm, the successful firm,willchange. We argue that carefully structured and controlled laboratory experiments provide an excellent source for obtaining the knowledge necessary for organizations to adapt strategically. We illustrate how such experiments can be used in determining the relationships between organizational forms and information system constructs, and in analyzing what mixes yield maximum performance in decision‐theoretic and game‐theoretic settings.

 

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