IDEAS home Printed from https://ideas.repec.org/h/spr/lnichp/978-3-031-65782-5_14.html
   My bibliography  Save this book chapter

The Impact of Trust in AI Chatbots on Users’ Behavior in Online Health Communities

In: Leading and Managing in the Digital Era

Author

Listed:
  • Alain Osta

    (University of Nicosia)

  • Angelika Kokkinaki

    (University of Nicosia)

  • Charbel Chedrawi

    (University of Nicosia
    Saint Joseph University of Beirut)

Abstract

Current literature lacks sufficient evidence on adoption of AI conversational agents (chatbots) in the healthcare industry. This research paper aims to fill this gap by investigating the acceptance of chatbots in Online Health Communities (OHCs) through a defined research model. The study examines the influence of specific features on users’ intentions and actual usage of these communities. A quantitative methodology is employed, utilizing the proposed research model to analyse users’ behavior and intentions towards AI conversational agents/chatbots in OHCs. A total of 632 responses were received from 62 countries, of which 443 were complete. The findings highlight the interconnectedness between AI conversational agents/chatbots and OHCs, particularly their impact on users’ Behavioral Intention (BI). The Trust variable is found to significantly influence participants’ Behavioral Intention (BI) and Usage Behavior (UB) towards AI conversational agents/chatbots in OHCs. Additionally, factors such as experience in chatbots, experience in technology, occupation, and geographical zones are identified as significant moderators that affect BI and UB.

Suggested Citation

  • Alain Osta & Angelika Kokkinaki & Charbel Chedrawi, 2024. "The Impact of Trust in AI Chatbots on Users’ Behavior in Online Health Communities," Lecture Notes in Information Systems and Organization, in: Gregory Prastacos & Nancy Pouloudi (ed.), Leading and Managing in the Digital Era, pages 205-219, Springer.
    • Handle: RePEc:spr:lnichp:978-3-031-65782-5_14
    DOI: 10.1007/978-3-031-65782-5_14
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:lnichp:978-3-031-65782-5_14. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.