Conclusion

  • Zhiang Lin
  • Kathleen M. Carley
Part of the Information and Organization Design Series book series (INOD, volume 3)

Abstract

In this book, we have systematically examined organizational performance (in terms of decision choices) under various factors discussed in the organizational literature with focus on the information processing aspect of the organization from an open system’s perspective. The results from analyses of a comprehensive formal framework and multiple organizational cases show that (1) time pressure affects organizational performance, and it severely degrades organization’s ability to proceed normal decisions as the level of time pressure increases. Further, experientially trained organizations are more sensitive to time pressure than operationally trained organizations. (2) Organizations are often under stress, but they can usually survive with a right design if only under external stress. However, when faced with internal stress, organizational performance is degraded, and the more the number of internal murphies the worse the performance. Further, operationally trained organizations on average are more susceptible to internal stress than experientially trained organizations .(3) Quality of information is most vital to organizational performance. Thus organizations whose decision making is based on information processing, should eliminate such murphies first. For organizations that base their decisions mainly on historical information, it is also very important to retain experienced and well-trained agents to maintain high performance.

Keywords

Internal Stress Time Pressure Organizational Performance Organizational Design Formal Framework 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2003

Authors and Affiliations

  • Zhiang Lin
    • 1
  • Kathleen M. Carley
    • 2
  1. 1.School of ManagementUniversity of Texas at DallasRichardsonUSA
  2. 2.School of Computer ScienceCarnegie Mellon UniversityPittsburghUSA

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