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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