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A Structural and Evolutionary Approach to Change Management

Author

Listed:
  • Thierry Rakotobe-Joel

    (Ramapo College of New Jersey)

  • Ian P. McCarthy

    (Simon Fraser University)

  • David Tranfield

    (Cranfield University)

Abstract

Organizational change management is concerned with realizing strategies using models, methods and prescriptions that seek to guide the three key elements of strategic management process: strategic analysis (what is our current configuration?), strategic choice (what is our desired configuration?) and strategic implementation (how to realize the desired configuration?). To address these strategic management issues, this paper presents an evolutionary and structural approach that uses a classification technique (cladistics) and a method from algebraic topology (q-analysis) to identify and understand different organizational configurations, along with the relationships and connectivity (change route) between a current and desired configuration. A simple example data set is used to introduce and describe the cladistic and q-analysis methods. This is followed by an application of the technique to a data set from the automotive assembly industry.

Suggested Citation

  • Thierry Rakotobe-Joel & Ian P. McCarthy & David Tranfield, 2002. "A Structural and Evolutionary Approach to Change Management," Computational and Mathematical Organization Theory, Springer, vol. 8(4), pages 337-364, December.
    • Handle: RePEc:spr:comaot:v:8:y:2002:i:4:d:10.1023_a:1025420718857
    DOI: 10.1023/A:1025420718857
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    References listed on IDEAS

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    1. Dave Ulrich & Bill McKelvey, 1990. "General Organizational Classification: An Empirical Test Using the United States and Japanese Electronics Industries," Organization Science, INFORMS, vol. 1(1), pages 99-118, February.
    2. Thomas Jacobson & Wenjie Yan, 1998. "Q-Analysis Techniques for Studying Communication Content," Quality & Quantity: International Journal of Methodology, Springer, vol. 32(1), pages 93-108, February.
    3. Christine Oliver, 1997. "The Influence of Institutional and Task Environment Relationships on Organizational Performance: The Canadian Construction Industry," Journal of Management Studies, Wiley Blackwell, vol. 34(1), pages 99-124, January.
    4. Bill McKelvey, 1978. "Organizational Systematics: Taxonomic Lessons from Biology," Management Science, INFORMS, vol. 24(13), pages 1428-1440, September.
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    Cited by:

    1. 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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