Cited by 607Technology Adoption and User BehaviourMobile Health and mHealth ApplicationsHealth, Technology, Consumer Behavior

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Mobile computing acceptance factors in the healthcare industry: A structural equation model

Wu, Jen-Her, Wang, Shu-Ching, Lin, Li-Min·2007·International Journal of Medical Informatics

DOI 10.1016/j.ijmedinf.2006.06.006

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Abstract

Objective This paper presents a revised technology acceptance model to examine what determines mobile healthcare systems (MHS) acceptance by healthcare professionals.Method Conformation factor analysis was performed to test the reliability and validity of the measurement model. The structural equation modeling technique was used to evaluate the causal model.Results The results indicated that compatibility, perceived usefulness and perceived ease of use significantly affected healthcare professional behavioral intent. MHS self-efficacy had strong indirect impact on healthcare professional behavioral intent through the mediators of perceived usefulness and perceived ease of use. Yet, the hypotheses for technical support and training effects on the perceived usefulness and perceived ease of use were not supported.Conclusion This paper provides initial insights into factors that are likely to be significant antecedents of planning and implementing mobile healthcare to enhance professionals' MHS acceptance. The proposed model variables explained 70% of the variance in behavioral intention to use MHS; further study is needed to explore extra significant antecedents of new IT/IS acceptance for mobile healthcare. Such as privacy and security issue, system and information quality, limitations of mobile devices; the above may be other interesting factors for implementing mobile healthcare and could be conducted by qualitative research.

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Authors: Wu, J.-H., Wang, S.-C., & Lin, L.-M.
Affiliations: National Sun Yat-sen University (TW)
Meiho University (TW)
Corresponding author: Wu, Jen-Her
ORCID: Wang, Shu-Ching
Venue: International Journal of Medical Informatics
Publisher: Elsevier BV
Published: 2007-01
Volume: 76
Issue: 1
Pages: 66-77
ISSN: 1386-5056 (ISSN-L)
DOI: 10.1016/j.ijmedinf.2006.06.006
OpenAlex: W2041318031
Cited by: 603
References: 65
Citations by year: 2026: 10 · 2025: 17 · 2024: 17 · 2023: 25 · 2022: 29 · 2021: 35 · 2020: 34 · 2019: 37 · 2018: 40 · 2017: 36 · 2016: 38 · 2015: 49 · 2014: 59 · 2013: 41 · 2012: 33
FWCI: 35.39
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
Locations: International Journal of Medical Informatics (publishedVersion)
PubMed (publishedVersion)
Funders: Ministry of Education
National Science Council (NSC 93-2416-H-110-015)
National Sun Yat-sen University
Topics: Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
Keywords: technology acceptance model, healthcare workers, behavioral intention, perceived usefulness, perceived ease of use, compatibility, self-efficacy, technical support, training
MeSH terms: Attitude of Health Personnel, Attitude to Computers, Diffusion of Innovation, Taiwan, Models, Organizational, Telemedicine, Point-of-Care Systems, Health Care Sector, Computers, Handheld

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Mobile computing acceptance factors in the healthcare industry: A structural equation model

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