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The Persistence of Lenient Market Categories

Author

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  • Elizabeth G. Pontikes

    (Booth School of Business, The University of Chicago, Chicago, Illinois 60637)

  • William P. Barnett

    (Graduate School of Business, Stanford University, Stanford, California 94305)

Abstract

Research across disciplines presumes that market categories will have strong boundaries. Categories without well-defined boundaries typically are not useful and so are expected to fade away. We suggest many contexts contain lenient market categories , or less-constraining market categories, that persist and become important. We argue that this fact can be explained by looking at market categories from the producer perspective. Lenient market categories have more flexibility and allow for a wider range of fit. As a result, we expect to see high rates of entry into lenient categories. At the same time, lenient market categories have drawbacks: they do not clearly convey what an organization does and do not identify specific sets of potential consumers. This means organizations are more likely to exit. When entry rates are higher than exit rates, lenient market categories will endure over time. We also predict that organizations exiting lenient categories will enter other lenient categories, further fueling the persistence of such categories. Finally, this trend is exaggerated when influential external agents favor leniency. We find support for these ideas in a longitudinal analysis of organizational entry into and exit from market categories in the software industry.

Suggested Citation

  • Elizabeth G. Pontikes & William P. Barnett, 2015. "The Persistence of Lenient Market Categories," Organization Science, INFORMS, vol. 26(5), pages 1415-1431, October.
  • Handle: RePEc:inm:ororsc:v:26:y:2015:i:5:p:1415-1431
    DOI: 10.1287/orsc.2015.0973
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    3. Paolo Aversa & Annelore Huyghe & Giulia Bonadio, 2021. "First Impressions Stick: Market Entry Strategies and Category Priming in the Digital Domain," Journal of Management Studies, Wiley Blackwell, vol. 58(7), pages 1721-1760, November.
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    9. Jürgen Lerner & Alessandro Lomi, 2018. "Knowledge categorization affects popularity and quality of Wikipedia articles," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-22, January.
    10. Martina Montauti & Filippo Carlo Wezel, 2016. "Charting the Territory: Recombination as a Source of Uncertainty for Potential Entrants," Organization Science, INFORMS, vol. 27(4), pages 954-971, August.
    11. Lo, Jade Y. & Nag, Rajiv & Xu, Lei & Agung, Shanti D., 2020. "Organizational innovation efforts in multiple emerging market categories: Exploring the interplay of opportunity, ambiguity, and socio-cognitive contexts," Research Policy, Elsevier, vol. 49(3).
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