IDEAS home Printed from https://ideas.repec.org/a/inm/orstsc/v9y2024i1p38-57.html
   My bibliography  Save this article

Market Segment, Organizational Form, and Information Technology Fit

Author

Listed:
  • Victor Manuel Bennett

    (Eccles School of Business, University of Utah, Salt Lake City, Utah 84098)

  • Ines Black

    (Fuqua School of Business, Duke University, Durham, North Carolina 27708)

  • Todd Hall

    (School of Business, University of Kansas, Lawrence, Kansas 66045)

Abstract

Several literatures in strategy propose models of the displacement of incumbent firms by newer firms that adopt newer technologies. Although that pattern likely plays out often, it is also often the case that incumbents adopt new technologies less intensively than entrants and yet, are not displaced; the new and old firms coexist. We propose one explanation built on the fundamental notion in strategy of the importance of fit between activity system components. We combine three existing models from strategy in a way that allows us to generate novel predictions. When corroborated, these predictions suggest that the patterns we observe are likely the result of issues of multidimensional fit and cannot be explained by a simpler model. One model predicts that market segment choice is a function of the order of entry. A second suggests that organizational form must fit with market segment choice, and a third suggests that information technology adoption returns depend on organizational form. Jointly, these models produce a chain of logic explaining why early entrants might be less likely to adopt information technology. The combined model also yields a novel prediction about when we expect this pattern to emerge. Specifically, in settings without a sufficiently large scope for product customization or the possibility of variation in organizational form, we predict that the relationship between entry order and technology adoption is attenuated. We find patterns consistent with our predictions using rich employer-employee linked administrative data from Portugal.

Suggested Citation

  • Victor Manuel Bennett & Ines Black & Todd Hall, 2024. "Market Segment, Organizational Form, and Information Technology Fit," Strategy Science, INFORMS, vol. 9(1), pages 38-57, March.
  • Handle: RePEc:inm:orstsc:v:9:y:2024:i:1:p:38-57
    DOI: 10.1287/stsc.2022.0071
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/stsc.2022.0071
    Download Restriction: no

    File URL: https://libkey.io/10.1287/stsc.2022.0071?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:orstsc:v:9:y:2024:i:1:p:38-57. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.