IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v219y2025ics0040162525002859.html
   My bibliography  Save this article

Navigating human-technology dynamics: Exploring innovation resistance to smartphone apps in amusement parks

Author

Listed:
  • Canestrino, Rossella
  • Bonfanti, Angelo
  • Magliocca, Pierpaolo
  • Caputo, Francesco

Abstract

This paper offers a novel exploration of the factors influencing users' rejection of smartphone apps, focusing on the context of amusement parks. This study introduces a unique and broader framework grounded in the Innovation Resistance Theory (IRT), which includes hedonism and utilitarianism, for understanding technology resistance. Notably, this research highlights the distinct leisure dynamics impacting technology adoption in amusement parks, unlike previous studies focusing on acceptance in sectors like banking and healthcare. A mixed-method sequential design was employed to achieve the research aim: qualitative data from online focus groups informed the conceptual model, which was tested by quantitatively analyzing 362 survey responses. Partial Least Squares Structural Equation Modeling (PLS-SEM) was run to assess the model's reliability, validity, and structural relationships. The results confirmed the positive relationship between value, amenability, information, and functional risk barriers, along with perceived utilitarianism and app rejection, while perceived hedonism is negatively associated with rejection. Differently, complexity, usage, and physical risk barriers do not significantly affect the rejection of smartphone apps in amusement parks. These findings help to understand human-technology interactions in the leisure context, suggesting effective interventions that park managers can undertake to enhance the visitors' experience and the users' digital service adoption.

Suggested Citation

  • Canestrino, Rossella & Bonfanti, Angelo & Magliocca, Pierpaolo & Caputo, Francesco, 2025. "Navigating human-technology dynamics: Exploring innovation resistance to smartphone apps in amusement parks," Technological Forecasting and Social Change, Elsevier, vol. 219(C).
  • Handle: RePEc:eee:tefoso:v:219:y:2025:i:c:s0040162525002859
    DOI: 10.1016/j.techfore.2025.124254
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162525002859
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2025.124254?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:eee:tefoso:v:219:y:2025:i:c:s0040162525002859. 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.