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Adaptation as a Morphing Process: A Methodology for the Design and Evaluation of Adaptive Organizational Structures

Author

Listed:
  • Didier M. Perdu

    (George Mason University)

  • Alexander H. Levis

    (George Mason University)

Abstract

Changes in objectives, in resources, or in the environment may necessitate the adaptation of an organization from one form to another. However, in many cases, the organizations need to continue functioning while adaptation takes place, i.e., it is not possible to stop the organizational activity in order to reorganize, and then start again. In this case, adaptation can be expressed as a morphing process in which the organization transitions from one form with its attendant task allocation to a different one through a series of incremental steps that preserve overall functionality and performance. Coordination between organization members during adaptation is critical. A computational model for this type of organizational adaptation at the operational level is presented. The model is implemented using the Colored Petri Net formulation of discrete event dynamical systems. A design methodology that utilizes this model is outlined and a simple example is used to illustrate the approach.

Suggested Citation

  • Didier M. Perdu & Alexander H. Levis, 1998. "Adaptation as a Morphing Process: A Methodology for the Design and Evaluation of Adaptive Organizational Structures," Computational and Mathematical Organization Theory, Springer, vol. 4(1), pages 5-41, March.
    • Handle: RePEc:spr:comaot:v:4:y:1998:i:1:d:10.1023_a:1009628813441
    DOI: 10.1023/A:1009628813441
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    Citations

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    Cited by:

    1. Alexander H. Levis & W.S. Vaughan, 1999. "Model driven experimentation," Systems Engineering, John Wiley & Sons, vol. 2(2), pages 62-68.
    2. Momčilo Kujačić & Nebojša J. Bojović, 2003. "Organizational Design of Post Corporation Structure Using Fuzzy Multicriteria Decision Making," Computational and Mathematical Organization Theory, Springer, vol. 9(1), pages 5-18, May.
    3. Cansu Kandemir & Holly A. H. Handley, 2019. "Work process improvement through simulation optimization of task assignment and mental workload," Computational and Mathematical Organization Theory, Springer, vol. 25(4), pages 389-427, December.
    4. Brian W. Kulik & Timothy Baker, 2008. "Putting the organization back into computational organization theory: a complex Perrowian model of organizational action," Computational and Mathematical Organization Theory, Springer, vol. 14(2), pages 84-119, June.

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