IDEAS home Printed from https://ideas.repec.org/a/igg/jehmc0/v7y2016i1p31-47.html
   My bibliography  Save this article

The Unified Model for Acceptance and Use of Health Information on Online Social Networks: Evidence from Thailand

Author

Listed:
  • Waransanang Boontarig

    (King Mongkut's University of Technology Thonburi, Bangkok, Thailand)

  • Borworn Papasratorn

    (King Mongkut's University of Technology Thonburi, Bangkok, Thailand)

  • Wichian Chutimaskul

    (King Mongkut's University of Technology Thonburi, Bangkok, Thailand)

Abstract

Online social networks provide a novel opportunity to improve public health through effective health information dissemination. Developing a dissemination strategy, however, requires an understanding of individuals' beliefs and attitudes about using both the technology and information. Previous research has focused primarily on either technology adoption or information adoption behaviors. This study aims to bridge the gap by developing a unified model of acceptance and use of information technology for predicting intention to use health information through online social networks. Empirical results show that Performance Expectancy, Facilitating Conditions, Perceived Emotional Value, Trust, Relevance, Accuracy, Understandability, and Source Credibility influence the adoption behavior. Also, individuals tend to accept health information regardless of their attitudes toward the communication channel.

Suggested Citation

  • Waransanang Boontarig & Borworn Papasratorn & Wichian Chutimaskul, 2016. "The Unified Model for Acceptance and Use of Health Information on Online Social Networks: Evidence from Thailand," International Journal of E-Health and Medical Communications (IJEHMC), IGI Global, vol. 7(1), pages 31-47, January.
  • Handle: RePEc:igg:jehmc0:v:7:y:2016:i:1:p:31-47
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJEHMC.2016010102
    Download Restriction: no
    ---><---

    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:igg:jehmc0:v:7:y:2016:i:1:p:31-47. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.