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Organizational Design, Inertia and the Dynamics of Competitive Response

Author

Listed:
  • Christopher Gresov

    (Fuqua School of Business, Duke University, Durham, North Carolina 27706)

  • Heather A. Haveman

    (Fuqua School of Business, Duke University, Durham, North Carolina 27706)

  • Terence A. Oliva

    (School of Business, Temple University, Philadelphia, Pennsylvania 19122)

Abstract

Organizational design research has largely ignored the effects of inertia on competitive response, despite the centrality of the concept in theories of organizational evolution. In evolutionary research, inertia is frequently invoked as an explanation for why organizations delay or completely fail to respond to changes in competitive pressure. Inertia is thus seen as a primary antecedent of strategic consequences such as impaired performance and organizational mortality. Such explanations, however, cannot be tested empirically without a satisfactory method for measuring levels of inertia. This paper draws on techniques from catastrophe theory to explore a means of assessing organizational inertia by modelling organizational response to competitive pressure. Specifically, this paper looks at competitive response in terms of the aggressiveness of an organization's strategy, and models this as a function of environmental pressure and the inhibiting or enabling effects of organizational design. This paper also reveals a method for measuring the level of inertia associated with organizational response to environmental pressure. The proposed methodology takes into account the rich, multidimensional nature of these constructs and accounts for effects that delay response in the face of radical change in competitive pressure. The method also captures both incremental and radical shifts in competitive response intensity. Key benefits of the methodology include the ability to measure inertia and to assess the effects of different design elements on this measure. It thus provides a means by which researchers can enrich their understanding of the antecedents of inertia and test its effects on such outcomes as performance and survival. Data from a savings and loan association illustrate the application of this methodology.

Suggested Citation

  • Christopher Gresov & Heather A. Haveman & Terence A. Oliva, 1993. "Organizational Design, Inertia and the Dynamics of Competitive Response," Organization Science, INFORMS, vol. 4(2), pages 181-208, May.
  • Handle: RePEc:inm:ororsc:v:4:y:1993:i:2:p:181-208
    DOI: 10.1287/orsc.4.2.181
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    Citations

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    Cited by:

    1. Philip Anderson, 1999. "Perspective: Complexity Theory and Organization Science," Organization Science, INFORMS, vol. 10(3), pages 216-232, June.
    2. Oetzel, Jennifer M. & Bettis, Richard A. & Zenner, Marc, 2001. "Country risk measures: how risky are they?," Journal of World Business, Elsevier, vol. 36(2), pages 128-145, July.
    3. Marina Fiedler & Isabell Welpe & Arnold Picot, 2010. "Understanding Radical Change: An Examination of Management Departments in German-speaking Universities," management revue. Socio-economic Studies, Rainer Hampp Verlag, vol. 21(2), pages 111-134.
    4. Venkatesh Shankar, 2006. "Proactive and Reactive Product Line Strategies: Asymmetries Between Market Leaders and Followers," Management Science, INFORMS, vol. 52(2), pages 276-292, February.
    5. Mao, Chi-Kuo & Ding, Cherng G. & Lee, Hsiu-Yu, 2010. "Post-SARS tourist arrival recovery patterns: An analysis based on a catastrophe theory," Tourism Management, Elsevier, vol. 31(6), pages 855-861.
    6. Laharish Guntuka, 2022. "Inter-Firm ESG Rivalry: A Competitive Dynamics View," Sustainability, MDPI, vol. 14(20), pages 1-17, October.
    7. Sarangi, Subrat & Chakraborty, Abhishek & Triantis, Konstantinos P., 2021. "Multimarket competition effects on product line decisions – A multi-objective decision model in fast moving consumer goods industry," Journal of Business Research, Elsevier, vol. 133(C), pages 388-398.
    8. Dean, Thomas J. & Meyer, G. Dale, 1996. "Industry environments and new venture formations in U.S. manufacturing: A conceptual and empirical analysis of demand determinants," Journal of Business Venturing, Elsevier, vol. 11(2), pages 107-132, March.
    9. Bamford, Charles E. & Dean, Thomas J. & Douglas, Thomas J., 2004. "The temporal nature of growth determinants in new bank foundings: implications for new venture research design," Journal of Business Venturing, Elsevier, vol. 19(6), pages 899-919, November.
    10. Lange, Rense & McDade, Sean & Oliva, Terence A., 2001. "Technological choice and network externalities: a catastrophe model analysis of firm software adoption for competing operating systems," Structural Change and Economic Dynamics, Elsevier, vol. 12(1), pages 29-57, March.
    11. Zhou, Dan & Kautonen, Mika & Dai, Weiqi & Zhang, Hui, 2021. "Exploring how digitalization influences incumbents in financial services: The role of entrepreneurial orientation, firm assets, and organizational legitimacy," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    12. Donald E. Harter & Sandra A. Slaughter, 2003. "Quality Improvement and Infrastructure Activity Costs in Software Development: A Longitudinal Analysis," Management Science, INFORMS, vol. 49(6), pages 784-800, June.
    13. Sangcheol Song, 2014. "Entry mode irreversibility, host market uncertainty, and foreign subsidiary exits," Asia Pacific Journal of Management, Springer, vol. 31(2), pages 455-471, June.
    14. Tuomas Korhonen & Teemu Laine & Petri Suomala, 2013. "Understanding performance measurement dynamism: a case study," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 17(1), pages 35-58, February.
    15. Chen Ren & Sang-Joon Lee & Chenxi Hu, 2023. "Digitalization Improves Enterprise Performance: New Evidence by Text Analysis," SAGE Open, , vol. 13(2), pages 21582440231, May.

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