Facebook Users’ Satisfaction and Intention to Continue Using It: Applying the Expectation Confirmation Model

Author:

Khan Md Irfanuzzaman1ORCID,Saleh M. Abu1

Affiliation:

1. Canberra Business School, University of Canberra, Canberra, ACT, Australia

Abstract

The use of social media for health communication has grown enormously worldwide. Whilst research concerning the potential benefits and barriers of using social media is rich and ever expanding, only a few studies looked at the fundamental reasons why social networking users continue to use Facebook for accessing health-related support groups and communicating with the healthcare professionals. Based on the expectation confirmation model (ECM), this study aims to uncover the factors that explain users’ intention to continue using Facebook for health-related matters. A sample size of 239 respondents was collected to test the proposed theoretical framework, using thestructural equation modelling technique. Our findings indicate that the most important drivers of continuance intention of Facebook are satisfaction, perceived usefulness, information quality and social support, whilst confirmation of expectation, information quality and social support are determinants of satisfaction. This study offers new insights into the domain of post-technology adoption and health communication literature. It also provides important information for healthcare providers on how to improve the effectiveness of social network-based interactions.

Publisher

SAGE Publications

Subject

Law,Library and Information Sciences,Computer Science Applications,General Social Sciences

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3