IDEAS home Printed from https://ideas.repec.org/a/inm/ororsc/v36y2025i1p186-212.html
   My bibliography  Save this article

Location-Specificity and Relocation Incentive Programs for Remote Workers

Author

Listed:
  • Thomaz Teodorovicz

    (Copenhagen Business School, Department of Strategy and Innovation, DK-2000 Frederiksberg (Copenhagen), Denmark)

  • Prithwiraj (Raj) Choudhury

    (Harvard Business School, Boston, Massachusetts 02163)

  • Evan Starr

    (Robert H. Smith School of Business, University of Maryland, College Park, Maryland 20740)

Abstract

The precipitous growth of remote work has given rise to a new phenomenon: the emergence of relocation incentive programs that localities use to compete for the physical presence of remote workers. Remote workers with high general human capital may create value for their new destinations and reverse net talent outflow from smaller cities in middle America and globally. However, localities seeking to attract, retain, and create value from remote workers face significant challenges because such workers may have a low attachment to their new destination. Analogizing these challenges to the problem of creating and capturing value from workers with general human capital, we argue that localities can benefit from using relocation incentive program by leveraging location-specific attributes that create value for the individual and the locality. We examined these ideas in the context of Tulsa Remote, a program that provides relocation incentives and a bundle of services to increase engagement and embeddedness in Tulsa, Oklahoma. We found that Tulsa Remote increased community engagement, real income, and entrepreneurship of remote workers, benefiting both the community and the individual. Tulsa Remote increased the worker’s willingness to stay, and local community engagement is a key driver of this relationship. This work thus suggests that location specificity enables localities to both create and capture value from remote workers.

Suggested Citation

  • Thomaz Teodorovicz & Prithwiraj (Raj) Choudhury & Evan Starr, 2025. "Location-Specificity and Relocation Incentive Programs for Remote Workers," Organization Science, INFORMS, vol. 36(1), pages 186-212, January.
  • Handle: RePEc:inm:ororsc:v:36:y:2025:i:1:p:186-212
    DOI: 10.1287/orsc.2023.17712
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/orsc.2023.17712
    Download Restriction: no

    File URL: https://libkey.io/10.1287/orsc.2023.17712?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:ororsc:v:36:y:2025:i:1:p:186-212. 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.