IDEAS home Printed from https://ideas.repec.org/a/eee/eurman/v42y2024i3p414-424.html
   My bibliography  Save this article

Supply chain integration and novelty-centered business model design: An organizational learning perspective

Author

Listed:
  • Feng, Taiwen
  • Yang, Shan
  • Sheng, Hongyan

Abstract

Although novelty-centered business model design (NBMD) has attracted much attention, how it is affected by supply chain integration (SCI) is still inconclusive. Based on organizational learning theory, this study investigates how three dimensions of SCI (i.e., information integration, operational integration, and relational integration) affect NBMD via inter-organizational learning and the moderating role of big data analytics skills. We test hypotheses by utilizing survey data from 277 Chinese manufacturing firms. Our results indicate that both information integration and operational integration have positive impacts on NBMD. In addition, inter-organizational learning partially mediates the impacts of information integration and operational integration on NBMD. Our research also reveals that big data analytics skills strengthen the positive impact of relational integration on inter-organizational learning. This study provides theoretical and managerial insights for NBMD.

Suggested Citation

  • Feng, Taiwen & Yang, Shan & Sheng, Hongyan, 2024. "Supply chain integration and novelty-centered business model design: An organizational learning perspective," European Management Journal, Elsevier, vol. 42(3), pages 414-424.
  • Handle: RePEc:eee:eurman:v:42:y:2024:i:3:p:414-424
    DOI: 10.1016/j.emj.2022.12.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0263237322001669
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.emj.2022.12.002?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:eurman:v:42:y:2024:i:3:p:414-424. 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/wps/find/journaldescription.cws_home/115/description#description .

    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.