IDEAS home Printed from https://ideas.repec.org/a/wsi/ijitmx/v17y2020i07ns0219877020500492.html
   My bibliography  Save this article

Integrating Privacy Concerns Into the Unified Theory of Acceptance and Use of Technology to Explain the Adoption of Fitness Trackers

Author

Listed:
  • Riccardo Reith

    (University of Bayreuth, Germany)

  • Christoph Buck

    (#x2020;Queensland University of Technology, Australia)

  • Torsten Eymann

    (University of Bayreuth, Germany)

  • Bettina Lis

    (University of Bayreuth, Germany)

Abstract

Connected fitness tracking devices enable various stakeholders to analyze sensitive personal information. Our investigation underlines the vital role of privacy concerns for the intention to use fitness trackers and support the integration into the nomological structure of UTAUT. The results show strong influences of privacy concerns, subjective norm and performance expectancy on the intention to use fitness tracking devices. While performance expectancy is not the strongest predictor anymore, effort expectancy does not show a significant influence on the intention to use fitness tracking devices. The proposed research model enhances the privacy calculus theory and provides essential theoretical and practical implications.

Suggested Citation

  • Riccardo Reith & Christoph Buck & Torsten Eymann & Bettina Lis, 2020. "Integrating Privacy Concerns Into the Unified Theory of Acceptance and Use of Technology to Explain the Adoption of Fitness Trackers," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 17(07), pages 1-28, November.
  • Handle: RePEc:wsi:ijitmx:v:17:y:2020:i:07:n:s0219877020500492
    DOI: 10.1142/S0219877020500492
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219877020500492
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S0219877020500492?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. Chenming Peng & Hong Zhao & Sha Zhang, 2021. "Determinants and Cross-National Moderators of Wearable Health Tracker Adoption: A Meta-Analysis," Sustainability, MDPI, vol. 13(23), pages 1-16, December.

    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:wsi:ijitmx:v:17:y:2020:i:07:n:s0219877020500492. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijitm/ijitm.shtml .

    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.