Examining a model of information technology acceptance by individual professionals: an exploratory study
Abstract
The recent proliferation of information technology designed to support or enhance an individual professional's task performance has made the investigation of technology acceptance increasingly challenging and significant. This study investigates technology acceptance by individual professionals by examining physicians' decisions to accept telemedicine technology. Synthesized from relevant prior research, a generic research framework was built to provide a necessary foundation upon which a research model for telemedicine technology acceptance by physicians could be developed. The research model was then empirically examined, using data collected from more than 400 physicians practicing in public tertiary hospitals in Hong Kong. Results of the study suggest several areas where individual "professionals" might subtly differ in their technology acceptance decision-making, as compared with end users and business managers in ordinary business settings. Specifically, physicians appeared to be fairly pragmatic, largely anchoring their acceptance decisions in the usefulness of the technology rather than in its ease of use. When making decisions to accept a technology, physicians expressed considerable concerns about the compatibility of the technology with their practices, placed less importance on controlling technology operations, and attached limited weight to peers' opinions about using the technology. Based on results obtained from this study, the initially proposed framework for technology acceptance by individual professionals was revised to a "hierarchical, three-layer" structure with the individual context at the inner core, the implementation context on the outermost layer, and the technological context residing in the middle. Implications for information systems research and telemedicine management practice that have emerged from the study's findings are also discussed.
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Among the reviewed studies, voluntary IT use was more common in studies with non-significant SN effects, while mandatory IT use was more common in studies with significant SN effects.
“In opposition to that hypothesis, in three of four studies with non-significant SN effects, IT use was voluntary [49,97] or was perceived to be voluntary [108], and IT use was mandatory in two of four studies with significant SN effects [102,110].”
From The Technology Acceptance Model: Its past and its future in health care (2010) · cites this paper as [49]
Variables related to compatibility between health IT and clinical work processes were commonly added in the reviewed studies.
“For example, the common addition of variables related to compatibility between the health IT and clinical work processes in the reviewed studies [48, 49, 98, 103, 105, 106, 109] is in line with growing interest in the concept of “fit” as a critical need for successful IT design [131, 132], especially in health care [21, 28, 57, 62, 72, 100, 133-135].”
From The Technology Acceptance Model: Its past and its future in health care (2010) · cites this paper as [49]
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- Authors
- Chau, P. Y. K., & Hu, P. J.
- Venue
- Journal of Management Information Systems
- Publisher
- Informa UK Limited
- Published
- 2002-03
- Volume
- 18
- Issue
- 4
- Pages
- 191-229
- ISSN
- 0742-1222 (ISSN-L)
- 1557-928X
- OpenAlex
- W1601464326
- Cited by
- 707
- References
- 50
- Citations by year
- 2026: 11 · 2025: 25 · 2024: 31 · 2023: 22 · 2022: 26 · 2021: 35 · 2020: 25 · 2019: 36 · 2018: 27 · 2017: 20 · 2016: 50 · 2015: 39 · 2014: 51 · 2013: 51 · 2012: 33
- FWCI
- 39.06
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Management Information Systems (publishedVersion)
- The HKU Scholars Hub (University of Hong Kong) (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
- Keywords
- technology acceptance, telemedicine, physicians, technology acceptance model, perceived usefulness, perceived ease of use, technology compatibility, peer influence, Hong Kong hospitals
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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