Factors Influencing Chinese Online Health Service Use
Open Access
- 1 September 2021
- journal article
- research article
- Published by IGI Global in Journal of Global Information Management
- Vol. 29 (5), 138-160
- https://doi.org/10.4018/jgim.20210901.oa8
Abstract
Despite the popularity of online health services (OHSs) among patients in recent years, academic research on this phenomenon is limited. Drawing on the valence framework, the authors proposed a model to explore both the most important facilitators of OHS use intention from the perceived value perspective and inhibitors of OHS use intention from the perceived risk perspective. Data were collected from 407 OHS users through an online survey. Results showed that the inhibitors of OHS use intention include privacy risk and social risk, while facilitators include social support value, convenience value, and utilitarian value. These findings enrich the OHS literature by revealing both the inhibitors and facilitators of OHS use intention. This study also provides practical implications for platforms offering OHS in relation to effectively attracting users.Keywords
This publication has 43 references indexed in Scilit:
- Analysis of the Current Situation Regarding the Aging Rural Population in China and Proposed CountermeasuresPopulation Health Management, 2012
- Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspectiveInformation & Management, 2011
- The impact of personal dispositions on information sensitivity, privacy concern and trust in disclosing health information onlineDecision Support Systems, 2010
- “Usability + usefulness = trust”: an exploratory study of Australian health web sitesInternet Research, 2008
- A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedentsDecision Support Systems, 2008
- WebQual: An Instrument for Consumer Evaluation of Web SitesInternational Journal of Electronic Commerce, 2007
- Value-based Adoption of Mobile Internet: An empirical investigationDecision Support Systems, 2007
- Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographicsJournal of Business Research, 2006
- Predicting e-services adoption: a perceived risk facets perspectiveInternational Journal of Human-Computer Studies, 2003
- Perceived Barriers to Internet-Based Health Communication on Human GeneticsJournal of Health Communication, 2002