The unified model for acceptance and use of health information on online social networks: Evidence from Thailand

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Publication Details

Author listBoontarig W., Papasratorn B., Chutimaskul W.

PublisherIGI Global

Publication year2016

JournalInternational Journal of E-Health and Medical Communications (1947-315X)

Volume number7

Issue number1

Start page31

End page47

Number of pages17

ISSN1947-315X

eISSN1947-3168

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84955594210&doi=10.4018%2fIJEHMC.2016010102&partnerID=40&md5=4cfa253d7acc6c85c4314e77fb02fd19

LanguagesEnglish-Great Britain (EN-GB)


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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. Copyright ฉ 2016, IGI Global.


Keywords

Health informationInformation adoptionOnline social networksTechnology adoptionUTAUT


Last updated on 2023-06-10 at 07:36