IDEAS home Printed from https://ideas.repec.org/a/taf/tjisxx/v16y2007i6p712-724.html
   My bibliography  Save this article

An exploratory study of radio frequency identification (RFID) adoption in the healthcare industry

Author

Listed:
  • Cheon-Pyo Lee
  • Jung P Shim

Abstract

This study examines the radio frequency identification (RFID) adoption decision process and proposes a model predicting the likelihood of adopting RFID within organizations in the healthcare industry. A considerable number of studies have been conducted regarding organizational information technology (IT) adoption, but the nature of the organizational IT adoption process is still not well understood. Especially, although there are a number of variables and categories that have been found empirically to be related to adoption behavior, there is little in the way of evidence to suggest the origin or motivation behind the adoption. Thus, this study investigates the underlying motivations and driving forces behind the adoption of RFID using the theory of technology-push and need-pull. In this study, an organizational RFID adoption model is proposed and empirically tested by a survey using a sample of 126 senior executives in U.S. hospitals. The model posits that three categories of factors, technology push, need pull, and presence of champions, determine the likelihood of adopting RFID within organizations. This study also found that the relationships between those three categories and the likelihood of adopting RFID are strengthened or weakened by organizational readiness.

Suggested Citation

  • Cheon-Pyo Lee & Jung P Shim, 2007. "An exploratory study of radio frequency identification (RFID) adoption in the healthcare industry," European Journal of Information Systems, Taylor & Francis Journals, vol. 16(6), pages 712-724, December.
  • Handle: RePEc:taf:tjisxx:v:16:y:2007:i:6:p:712-724
    DOI: 10.1057/palgrave.ejis.3000716
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1057/palgrave.ejis.3000716
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/palgrave.ejis.3000716?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. Hashimy, Loha & Geetika, Jain & Grifell-Tatje, Emili, 2023. "Determinants of Blockchain Adoption as Decentralized Business Model by Spanish Firms: – An Innovation Theory Perspective," MPRA Paper 119903, University Library of Munich, Germany.
    2. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Kumar, Ajay & Gupta, Shivam & Sengupta, Pooja, 2023. "Rethinking of firm innovation capability: Examining the moderating role of leadership ability on a new business model," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    3. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Gupta, Shivam & Sivarajah, Uthayasankar & Bag, Surajit, 2023. "Assessing the impact of big data analytics on decision-making processes, forecasting, and performance of a firm," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    4. Gupta, Shivam & Modgil, Sachin & Choi, Tsan-Ming & Kumar, Ajay & Antony, Jiju, 2023. "Influences of artificial intelligence and blockchain technology on financial resilience of supply chains," International Journal of Production Economics, Elsevier, vol. 261(C).
    5. Vijendra Kumar & Hazi Md. Azamathulla & Kul Vaibhav Sharma & Darshan J. Mehta & Kiran Tota Maharaj, 2023. "The State of the Art in Deep Learning Applications, Challenges, and Future Prospects: A Comprehensive Review of Flood Forecasting and Management," Sustainability, MDPI, vol. 15(13), pages 1-33, July.
    6. Sheshadri Chatterjee & Ranjan Chaudhuri & Demetris Vrontis, 2023. "Role of fake news and misinformation in supply chain disruption: impact of technology competency as moderator," Annals of Operations Research, Springer, vol. 327(2), pages 659-682, August.
    7. Maya Vachkova & Arsalan Ghouri & Haidy Ashour & Normalisa Binti Md Isa & Gregory Barnes, 2023. "Big data and predictive analytics and Malaysian micro-, small and medium businesses," SN Business & Economics, Springer, vol. 3(8), pages 1-28, August.
    8. Chaudhuri, Ranjan & Chatterjee, Sheshadri & Mariani, Marcello M. & Wamba, Samuel Fosso, 2024. "Assessing the influence of emerging technologies on organizational data driven culture and innovation capabilities: A sustainability performance perspective," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    9. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Vrontis, Demetris & Dana, Léo-Paul & Kabbara, Diala, 2024. "Developing resilience of MNEs: From global value chain (GVC) capability and performance perspectives," Journal of Business Research, Elsevier, vol. 172(C).
    10. Tugba Karaboga & Cemal Zehir & Ekrem Tatoglu & H. Aykut Karaboga & Abderaouf Bouguerra, 2023. "Big data analytics management capability and firm performance: the mediating role of data-driven culture," Review of Managerial Science, Springer, vol. 17(8), pages 2655-2684, November.

    More about this item

    Statistics

    Access and download statistics

    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:taf:tjisxx:v:16:y:2007:i:6:p:712-724. 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 Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tjis .

    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.