IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v183y2024ics0148296324003278.html
   My bibliography  Save this article

Prescriptive multi-group networks: Humanoid service robots’ value co-creation and co-destruction potentials in apparel stores

Author

Listed:
  • Song, Christina Soyoung

Abstract

Drawing upon a theoretical foundation within service-dominant logic, this study analyzed multi-group networks of humanoid service robots (HSRs) and investigated the differences in the structures and relations between groups that adopted and rejected HSRs. Moreover, it explored the most important and central predictors in each network among value co-creation and co-destruction potentials. A pretest and the main data collection (n = 474) were conducted with a video-based stimulus in an apparel store. The results revealed that the structure and the three edge-weights in the networks of the groups that adopted and rejected HSRs differed significantly. Essentially, complexity and co-creation enjoyment were central-predictors within the networks. This study offers a comprehensive understanding of value co-creation and co-destruction between customers and technology actors, leading them to adopt and reject HSRs. Furthermore, it provides a pioneering methodological contribution to prescriptive network analytics that makes the network approach more accessible to academics and practitioners.

Suggested Citation

  • Song, Christina Soyoung, 2024. "Prescriptive multi-group networks: Humanoid service robots’ value co-creation and co-destruction potentials in apparel stores," Journal of Business Research, Elsevier, vol. 183(C).
    • Handle: RePEc:eee:jbrese:v:183:y:2024:i:c:s0148296324003278
    DOI: 10.1016/j.jbusres.2024.114823
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296324003278
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jbusres.2024.114823?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:jbrese:v:183:y:2024:i:c:s0148296324003278. 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.elsevier.com/locate/jbusres .

    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.