Welcome to the InfoSci Platform
Reference Hub1
The Unified Model for Acceptance and Use of Health Information on Online Social Networks: Evidence from Thailand

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

Waransanang Boontarig, Borworn Papasratorn, Wichian Chutimaskul
Copyright: © 2016 |Volume: 7 |Issue: 1 |Pages: 17
ISSN: 1947-315X|EISSN: 1947-3168|EISBN13: 9781466691902|DOI: 10.4018/IJEHMC.2016010102
Cite Article Cite Article

MLA

Boontarig, Waransanang, et al. "The Unified Model for Acceptance and Use of Health Information on Online Social Networks: Evidence from Thailand." IJEHMC vol.7, no.1 2016: pp.31-47. http://doi.org/10.4018/IJEHMC.2016010102

APA

Boontarig, W., Papasratorn, B., & Chutimaskul, W. (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), 7(1), 31-47. http://doi.org/10.4018/IJEHMC.2016010102

Chicago

Boontarig, Waransanang, Borworn Papasratorn, and Wichian Chutimaskul. "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) 7, no.1: 31-47. http://doi.org/10.4018/IJEHMC.2016010102

Export Reference

Mendeley
Favorite Full-Issue Download

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.