Cited by 241Technology Adoption and User BehaviourHealth, Technology, Consumer BehaviorMobile Health and mHealth Applications

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User acceptance of mobile health services from users’ perspectives: The role of self-efficacy and response-efficacy in technology acceptance

Zhang, Xiaofei, Han, Xiaocui, Dang, Yuanyuan, Meng, Fanbo, Guo, Xitong, Lin, Jiayue·2017·Informatics for Health and Social Care

Abstract

With the swift emergence of electronic medical information, the global popularity of mobile health (mHealth) services continues to increase steadily. This study aims to investigate the efficacy factors that directly or indirectly influence individuals' acceptance of mHealth services. Based on the technology acceptance model, this research incorporates efficacy factors into the acceptance decision process. A research model was proposed involving the direct and indirect effects of self-efficacy and response-efficacy on acceptance intention, along with their moderating effects. The model and hypotheses were validated using data collected from a field survey of 650 potential service users. The results reveal that: (1) self-efficacy and response-efficacy are both positively associated with perceived ease of use; and (2) self-efficacy and response-efficacy moderate the impact of perceived usefulness toward adoption intention. Self-efficacy and response-efficacy both play an important role in individuals' acceptance of mHealth services, which not only affect their perceived ease of use of mHealth services, but also positively moderate the effects of perceived usefulness on adoption intention. Our findings serve to provide recommendations that are specifically customized for mHealth service providers and their marketers.

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Crossref · 10.1080/17538157.2016.1200053

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Metadata

Authors
Zhang, X., Han, X., Dang, Y., Meng, F., Guo, X., & Lin, J.
Affiliations
  • Hong Kong Polytechnic University (HK)
  • Harbin Institute of Technology (CN)
Corresponding author
Zhang, Xiaofei
Venue
Informatics for Health and Social Care
Published
2016-08-26
Volume
42
Issue
2
Pages
194-206
ISSN
  • 1753-8157 (ISSN-L)
  • 1753-8165
OpenAlex
W2508383655
Cited by
241
References
49
Citations by year
2026: 18 · 2025: 43 · 2024: 31 · 2023: 34 · 2022: 39 · 2021: 34 · 2020: 17 · 2019: 11 · 2018: 12 · 2017: 2
FWCI
15.78
Type
journal article
Language
en
Open access
closed
Locations
  • Informatics for Health and Social Care (publishedVersion)
  • PubMed (publishedVersion)
  • PolyU Institutional Research Archive (Hong Kong Polytechnic University) (submittedVersion)
Funders
National Natural Science Foundation of China (71471048, 71531007, 71471049)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Keywords
mobile health, mHealth adoption, user acceptance, self-efficacy, response efficacy, technology acceptance model, perceived ease of use, perceived usefulness, adoption intention, moderating effect
MeSH terms
Adult, Attitude to Computers, Female, Humans, Male, Middle Aged, Patient Acceptance of Health Care, Perception, Telemedicine, Self Efficacy, Intention

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