Understanding information technology acceptance by individual professionals: toward an integrative view
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Among the reviewed studies, only one of the four studies with a significant SN effect had an all-physician sample.
“Indeed, only one of the four studies with a significant SN effect had an all-physician sample [99].”
From The Technology Acceptance Model: Its past and its future in health care (2010) · cites this paper as [99]
Only one reviewed study addressed whether social influence operates through compliance, identification, or internalization processes.
“Another open question is whether the social influence is having its effect through compliance, identification, or internalization processes [119], a point that was addressed in only one reviewed study [99].”
From The Technology Acceptance Model: Its past and its future in health care (2010) · cites this paper as [99]
The study by Yi et al. is one of few reviewed studies finding an effect of subjective norm, and it used three survey items referring to specific sources of social influence rather than general questions.
“For example, the study of Yi et al [99] is one of few that find an effect of SN, and the authors used three survey items that referred to specific sources of social influence, colleagues, superiors, and subordinates rather than asking general questions (see Table 4).”
From The Technology Acceptance Model: Its past and its future in health care (2010) · cites this paper as [99]
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- Authors
- Yi, M. Y., Jackson, J. D., Park, J. S., & Probst, J. C.
- Affiliations
- University of South Carolina (US)
- Kosin University (KR)
- Corresponding author
- Yi, Mun Y.
- Venue
- Information & Management
- Publisher
- Elsevier BV
- Published
- 2006-04
- Volume
- 43
- Issue
- 3
- Pages
- 350-363
- ISSN
- 0378-7206 (ISSN-L)
- OpenAlex
- W2112149259
- Cited by
- 1,139
- References
- 61
- Citations by year
- 2026: 21 · 2025: 50 · 2024: 61 · 2023: 64 · 2022: 72 · 2021: 79 · 2020: 58 · 2019: 64 · 2018: 57 · 2017: 57 · 2016: 60 · 2015: 73 · 2014: 80 · 2013: 68 · 2012: 61
- FWCI
- 46.91
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Information & Management (publishedVersion)
- Scholar Commons (University of South Carolina) (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
- Social Sciences › Demography › Technology Use by Older Adults
- Keywords
- information technology acceptance, technology acceptance model, theory of planned behavior, diffusion of innovation theory, healthcare workers, physicians, personal digital assistants, technology acceptance
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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.
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