IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v192y2023ics0040162523002639.html
   My bibliography  Save this article

Behavioral drivers of blockchain assimilation in supply chains – A social network theory perspective

Author

Listed:
  • Patil, Kiran
  • Ojha, Divesh
  • Struckell, Elisabeth M.
  • Patel, Pankaj C.

Abstract

This study investigates decision drivers for assimilating blockchain technology in supply chains. The benefits of blockchain accrue when there is collaborative acceptance of supply chain members. We ground our hypotheses in tenets of social network theory to propose that supply chain learning, supply chain collaboration, and network prominence will influence blockchain assimilation by organizations. Based on a cross-sectional group of blockchain users (150 supply chain professionals familiar with blockchain), the study is the first to develop an understanding of behavioral drivers of blockchain assimilation at the organizational level and complements earlier studies focused on the intention to adopt the technology and identification of blockchain benefits. In addition to contributing to a nascent body of literature on the blockchain, we provide psychometrically validated scales for blockchain assimilation and network prominence constructs. The findings have implications for blockchain adoption in supply chain literature.

Suggested Citation

  • Patil, Kiran & Ojha, Divesh & Struckell, Elisabeth M. & Patel, Pankaj C., 2023. "Behavioral drivers of blockchain assimilation in supply chains – A social network theory perspective," Technological Forecasting and Social Change, Elsevier, vol. 192(C).
    • Handle: RePEc:eee:tefoso:v:192:y:2023:i:c:s0040162523002639
    DOI: 10.1016/j.techfore.2023.122578
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162523002639
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2023.122578?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.

    Citations

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


    Cited by:

    1. Cimino, Antonio & Coniglio, Ilda Maria & Corvello, Vincenzo & Longo, Francesco & Sagawa, Juliana Keiko & Solina, Vittorio, 2024. "Exploring small farmers behavioral intention to adopt digital platforms for sustainable and successful agricultural ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
    2. Hiran, Kamal Kant & Dadhich, Manish, 2024. "Predicting the core determinants of cloud-edge computing adoption (CECA) for sustainable development in the higher education institutions of Africa: A high order SEM-ANN analytical approach," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    3. Simon Wong & John Kun Woon Yeung & Yui-Yip Lau & Tomoya Kawasaki & Raymond Kwong, 2024. "A Critical Literature Review on Blockchain Technology Adoption in Supply Chains," Sustainability, MDPI, vol. 16(12), pages 1-40, June.

    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:192:y:2023:i:c:s0040162523002639. 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.