How?controls influence organizational information processing: insights from a computational modeling investigation

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• 作者：Chris P. Long ; Sim B. Sitkin…
• 关键词：Organizational control ; Information processing ; Computational modeling
• 刊名：Computational & Mathematical Organization Theory
• 出版年：2015
• 出版时间：December 2015
• 年：2015
• 卷：21
• 期：4
• 页码：406-436
• 全文大小：589 KB
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• 作者单位：Chris P. Long (1)
  Sim B. Sitkin (2)
  Laura B. Cardinal (3)
  Richard M. Burton (2)
  
  1. McDonough School of Business, Georgetown University, Washington, DC, 20007, USA
  2. Fuqua School of Business, Duke University, Durham, NC, 27708, USA
  3. C. T. Bauer College of Business, University of Houston, Houston, TX, 77204, USA
  
• 刊物类别：Business and Economics
• 刊物主题：Economics
  Management
  Operation Research and Decision Theory
  Artificial Intelligence and Robotics
  Sociology
  Methodology of the Social Sciences
  
• 出版者：Springer Netherlands
• ISSN：1572-9346

文摘

In this study, we use a series of computational models to investigate an information processing perspective on organizational control use. We evaluate and compare the information processing capabilities of various formal and informal control configurations under different information uncertainty conditions. We find that a wide range of formal controls can be used to direct subordinates performing interdependent tasks while a more narrow range of informal controls are most effective for directing subordinates who perform complex tasks. Results of this study provide a basis for formalizing an information processing perspective on organizational control implementation that differs but is complementary to the current emphasis on agency in organizational control research. Keywords Organizational control Information processing Computational modeling