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User acceptance of mobile health services from users’ perspectives: The role of self-efficacy and response-efficacy in technology acceptance
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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“These constructs were measured using 21 items adapted from the work of Zhang et al. [75] and Chung and Dong [76], with each factor represented by three specific indicators.”
From Advancing Undergraduate Student Mental Healthcare of Social Anxiety Disorder: Evaluating the Acceptance of AR-Assisted Cognitive Behavioral Therapy Through TAM-Based Constructs. (2026) · cites this paper as Zhang et al. [75]
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Cited by
Sorted by citations
Technology Acceptance in Healthcare: A Systematic Review
AlQudah, A. A., Al‐Emran, M., & Shaalan, K. F. (2021) · Applied Sciences · doi:10.3390/app112210537 · Cited by 461
“[191] 2017 Journal Article Mobile Health Services 650 Service Users China Extended TAM”
BackgroundTheories Predicting End-User Acceptance of Telemedicine Use: Systematic Review
Harst, L., Lantzsch, H., & Scheibe, M. (2019) · Journal of Medical Internet Research · doi:10.2196/13117 · Cited by 320
“From a patient perspective, usefulness is achieved when, for example, telemedicine use improves quality of life or makes the care process more convenient for the patient [48].”
BackgroundMethodWhat Predicts Patients’ Adoption Intention Toward mHealth Services in China: Empirical Study
Deng, Z., Hong, Z., Ren, C., Zhang, W., & Xiang, F. (2018) · JMIR mhealth and uhealth · doi:10.2196/mhealth.9316 · Cited by 238
“Corroborating the results of a study by Zhang et al [60], we also validated that although perceived usefulness and perceived ease of use are still influential in explaining the adoption of mHealth services, their significance seems to decline.”
ResultTao, D., Wang, T., Wang, T., Zhang, T., Zhang, X., & Qu, X. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.09.023 · Cited by 236
Self-citationBalapour, A., Reychav, I., Sabherwal, R., & Azuri, J. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.03.005 · Cited by 220
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
- Publisher
- Informa UK Limited
- 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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