Files and links (1)
SubmittedOpen Access (License Unspecified), Open
Journal article
Online Trust and Health Information Websites
International journal of technology and human interaction, v 8(4), pp 92-115
01 Oct 2012
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Health care websites are important to people managing their health. But the quality of the information on health care websites varies, so it's hard for users to decide whether to trust their information. This study develops and tests a model of the factors influencing users' initial trust of a health care website. The factors are perceived credibility, risk, and ease of use. A survey instrument was developed to test the model with 176 participants who interacted with a health care website. It had strong statistical reliability and validity, and the model showed a statistically strong fit to the data. Users' website trust was significantly explained by users' perceptions of website credibility, ease of use, and risk. Ease of use directly predicted trust, and affected trust indirectly through credibility. Credibility was a direct predictor of trust and an indirect predictor of trust through risk. Variance explained by the model was high, 0.73.
Metrics
Details
- Title
- Online Trust and Health Information Websites
- Creators
- Cynthia L. Corritore - Creighton UniversitySusan Wiedenbeck - Drexel UniversityBeverly Kracher - Creighton UniversityRobert P. Marble - Creighton University
- Publication Details
- International journal of technology and human interaction, v 8(4), pp 92-115
- Publisher
- Igi Global
- Number of pages
- 24
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:000444140000006
- Scopus ID
- 2-s2.0-84870270472
- Other Identifier
- 991019167678704721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Information Science & Library Science