Health beliefs and the valence framework in health information seeking behaviors
Abstract
Purpose The purpose of this paper is to help understand consumer acceptance of online health information services by integrating the health belief model and extended valence framework. Design/methodology/approach A laboratory-based, experimental-scenarios research design is used to collect data, and the structural equation modeling technique is used to test the research model. Findings The model explains 47.6 percent of the variance in intentions to use online health information services. Trust appeared to have the strongest effect on acceptance. Perceived risk also had a significant impact on acceptance. Furthermore, health belief variables are confirmed as important factors for consumer acceptance. Self-efficacy was found to moderate the effect of perceived severity on acceptance. Research limitations/implications This study helped identify the relative salience of the health belief model and extended valence framework in consumer acceptance of online health information services. Practical implications This study can help practitioners better understand the development of trust and the profiles of consumers who may browse their sites. When online health service providers promote their information to encourage potential online health information seekers, they should use countermeasures against risk perceptions. Originality/value This study attempted to extend the valence framework to the non-commercial service context. Moreover, health beliefs and the valence framework are t…
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The positive relationship between trust in the service provider and perceived benefits has been corroborated across e-commerce contexts.
“The positive relationship between trust in the service provider and perceived benefits has been corroborated across e-commerce contexts”
From Why people participate in the sharing economy: an empirical investigation of Uber (2018) · cites this paper as Mou et al., 2016
Cites
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Why people participate in the sharing economy: an empirical investigation of Uber
Lee, Z. W. Y., Chan, T. K. H., Balaji, M. S., & Chong, A. Y.-L. (2018) · Internet Research · doi:10.1108/intr-01-2017-0037 · Cited by 305 · see citing works
Liu, W., Jiang, M., Li, W., & Mou, J. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123407 · Cited by 98 · see citing works
Self-citation
- Authors
- Mou, J., Shin, D.-H., & Cohen, J.
- Affiliations
- University of the Witwatersrand (ZA)
- Venue
- Information Technology & People
- Publisher
- Emerald
- Published
- 2016-11-07
- Volume
- 29
- Issue
- 4
- Pages
- 876-900
- ISSN
- 0959-3845 (ISSN-L)
- OpenAlex
- W2559803104
- Cited by
- 102
- References
- 13
- Citations by year
- 2026: 10 · 2025: 10 · 2024: 12 · 2023: 11 · 2022: 15 · 2021: 20 · 2020: 12 · 2019: 9 · 2018: 1 · 2017: 2
- FWCI
- 7.38
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Information Technology and People (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- Health Belief Model, consumer acceptance, trust, risk perception, self-efficacy, perceived severity, health information seeking, technology acceptance
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