IDEAS home Printed from https://ideas.repec.org/p/ebg/heccah/1375.html
   My bibliography  Save this paper

Organizational Adaptation

Author

Listed:
  • Sarta, Andrew

    (York University; Western University, Ivey Business School)

  • Durand, Rodolphe

    (HEC Paris)

  • Vergne, Jean-Philippe

    (University College London - School of Management)

Abstract

Organizational adaptation is equivocal. On the one hand, the concept is ubiquitous in management research and acts as the glue binding together the central issues of organizational change, performance, and survival. On the other hand, it lurks around in various guises (e.g., “fit,” “alignment,” “congruence,” and “strategic change”) studied from multiple theoretical streams (e.g., behavioral, resource-based, and institutional), and at different levels of analysis (e.g., organization- and industry-level). In a novel approach to reviewing 443 adaptation articles that leverages both computational and hand-coded analysis, we produce an interactive visual of the themes most studied by adaptation scholars. We inductively draw out a definition of adaptation as intentional decision-making undertaken by organizational members, leading to observable actions that aim to reduce the distance between an organization and its economic and institutional environments. We then review the literature across three main areas of inquiry and six theoretical perspectives that surfaced from our analysis and identify eleven difficulties that have hampered adaptation research in the past 50 years. Our review suggests ways to address these difficulties to enable future research to develop and cumulate.

Suggested Citation

  • Sarta, Andrew & Durand, Rodolphe & Vergne, Jean-Philippe, 2020. "Organizational Adaptation," HEC Research Papers Series 1375, HEC Paris.
  • Handle: RePEc:ebg:heccah:1375
    as

    Download full text from publisher

    File URL: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3589257
    File Function: Full text
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Oh, Ga-Eun (Grace) & Aliyev, Murod & Kafouros, Mario & Au, Alan Kai Ming, 2022. "The role of consumer characteristics in explaining product innovation performance: Evidence from emerging economies," Journal of Business Research, Elsevier, vol. 149(C), pages 713-727.

    More about this item

    Keywords

    adaptation; fit; congruence; topic modeling; evolution; strategic change; performance;
    All these keywords.

    JEL classification:

    • L20 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - General

    Statistics

    Access and download statistics

    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:ebg:heccah:1375. 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: Antoine Haldemann (email available below). General contact details of provider: https://edirc.repec.org/data/hecpafr.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.