The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
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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“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]
In the citing paper
“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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Metadata
- 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 › Business, Management and Accounting › Management Information Systems › 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
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