IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v208y2024ics0040162524004608.html
   My bibliography  Save this article

Investigating the impact of proactive crisis response orientation on adaptive performance: The roles of strategic learning and digitization

Author

Listed:
  • Feng, Wenna
  • Liu, Ruyue

Abstract

External adversities have induced substantial business disruptions and uncertainties, necessitating enterprises to proactively seek strategies for establishing enduring environmental resilience. This study amalgamates adaptation theory to formulate an analytical framework known as “response-learning-adaptation” (RLA), and aims to elucidate the adaptation process within an organization. Furthermore, it investigates the role of process digitization in enhancing organizational adaptability in response to contemporary demands. Through an analysis of data collected from a sample comprising 421 manufacturing firms, this study validates the favorable influence of the proactive crisis response orientation on organizational adaptive performance, as well as substantiates the presence of strategic knowledge creation and integration, facilitated by the sequential mediation of strategic knowledge implementation. Moreover, the study highlights the moderating effect of process digitization. This study employs adaptation theory to elucidate the specific strategic learning processes and highlights the critical role of internal and external factors in organizational adaptation. It addresses the existing gap in adaptation theory concerning the mechanisms of adaptive behavior, suggesting that adaptation is not merely an independent action but is also influenced by the collective behavior of organizations within the digital economy.

Suggested Citation

  • Feng, Wenna & Liu, Ruyue, 2024. "Investigating the impact of proactive crisis response orientation on adaptive performance: The roles of strategic learning and digitization," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
  • Handle: RePEc:eee:tefoso:v:208:y:2024:i:c:s0040162524004608
    DOI: 10.1016/j.techfore.2024.123662
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162524004608
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2024.123662?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:eee:tefoso:v:208:y:2024:i:c:s0040162524004608. 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: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    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.