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Cited by 553Technology Adoption and User BehaviourElectronic Health Records SystemsInformation Systems Theories and Implementation

Using a modified technology acceptance model in hospitals

AGGELIDIS, V, CHATZOGLOU, P·2009·International Journal of Medical Informatics
DOI 10.1016/j.ijmedinf.2008.06.006
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Abstract

Purpose The use of information technology in the health care sector and especially in hospitals offers great potential for improving the quality of services provided and the efficiency and effectiveness of the personnel, but also for reducing the organizational expenses. However, the main question that arises according to the literature is whether hospital personnel are willing to use state of the art information technology while performing their tasks. This study attempts to address this issue by developing and testing a modified technology acceptance model taking into consideration other relevant models found in the literature.Method The original TAM has been extended to include some exogenous variables in order to examine HIS acceptance by Greek hospital personnel. Correlation, explanatory and confirmation factor analysis was performed to test the reliability and validity of the measurement model. The structural equation modeling technique has also been used to evaluate the causal model.Results The results indicate that perceived usefulness, ease of use, social influence, attitude, facilitating conditions and self-efficacy significantly affect hospital personnel behavioral intention. Training has a strong indirect impact on behavioral intention through the mediators of facilitating condition and ease of use. Furthermore, the existence of significant positive effects between self-efficacy and social influence, perceived usefulness and anxiety, and facilitating conditions and social influence is also supported.Conclusions The proposed model can explain 87% of the variance of behavioral intention indicating that the core constructs of the technology acceptance models have a strong and statistically significant influence on hospital personnel usage intention.

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  • A number of empirical studies have advocated the use of attitude as a mediating variable along with perceived usefulness and perceived ease of use of the TAM model.

    “A number of empirical studies (e.g., Aboelmaged 2010; Aggelidis and Chatzoglou 2009; Kim et al. 2010) have advocated the use of attitude as a mediating variable along with perceived usefulness and perceived ease of use of the TAM model.”

    From Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (2019) · cites this paper as Aggelidis and Chatzoglou 2009

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Authors
AGGELIDIS, V, & CHATZOGLOU, P.
Affiliations
Democritus University of Thrace (GR)
Corresponding author
CHATZOGLOU, P
ORCID
CHATZOGLOU, P
Venue
International Journal of Medical Informatics
Publisher
Elsevier BV
Published
2009-02
Volume
78
Issue
2
Pages
115-126
ISSN
1386-5056 (ISSN-L)
DOI
10.1016/j.ijmedinf.2008.06.006
OpenAlex
W2061734925
Cited by
553
References
52
Citations by year
2026: 10 · 2025: 28 · 2024: 40 · 2023: 32 · 2022: 35 · 2021: 50 · 2020: 30 · 2019: 42 · 2018: 48 · 2017: 31 · 2016: 33 · 2015: 34 · 2014: 38 · 2013: 37 · 2012: 30
FWCI
23.95
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • International Journal of Medical Informatics (publishedVersion)
  • PubMed (publishedVersion)
  • NCHU Institutional Repository CRIS (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
  • Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
Keywords
technology acceptance model, hospital information systems, hospital staff, behavioral intention, perceived usefulness, perceived ease of use, social influence, self-efficacy, facilitating conditions, training, anxiety, Greek hospitals
MeSH terms
Adult, Female, Health Personnel, Hospitals, Humans, Male, Medical Informatics, Middle Aged, Reproducibility of Results

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