The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Information technology acceptance by individual professionals: a model comparison approach
Abstract
The proliferation of innovative and exciting information technology applications that target individual “professionals” has made the examination or re‐examination of existing technology acceptance theories and models in a “professional” setting increasingly important. The current research represents a conceptual replication of several previous model comparison studies. The particular models under investigation are the Technology Acceptance Model (TAM), the Theory of Planned Behavior (TPB), and a decomposed TPB model, potentially adequate in the targeted healthcare professional setting. These models are empirically examined and compared, using the responses to a survey on telemedicine technology acceptance collected from more than 400 physicians practicing in public tertiary hospitals in Hong Kong. Results of the study highlight several plausible limitations of TAM and TPB in explaining or predicting technology acceptance by individual professionals. In addition, findings from the study also suggest that instruments that have been developed and repeatedly tested in previous studies involving end users and business managers in ordinary business settings may not be equally valid in a professional setting. Several implications for technology acceptance/adoption research and technology management practices are discussed.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Sometimes, the researchers compared TAM to another model, for example, TPB [48, 102].”
From The Technology Acceptance Model: Its past and its future in health care (2010) · cites this paper as [48]
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 [48]
Citations
Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
Venkatesh, V., & Davis, F. D. (2000) · Management Science · doi:10.1287/mnsc.46.2.186.11926 · Cited by 23,066
From Intentions to Actions: A Theory of Planned Behavior
Ajzen, I. (1985) · Action Control · doi:10.1007/978-3-642-69746-3_2 · Cited by 19,057
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150
Understanding information technology usage: a test of competing models
Taylor, S., & Todd, P. A. (1995) · Information Systems Research · doi:10.1287/isre.6.2.144 · Cited by 8,815
Venkatesh, V. (2000) · Information Systems Research · doi:10.1287/isre.11.4.342.11872 · Cited by 6,664
Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control
Ajzen, I., & Madden, T. J. (1986) · Journal of Experimental Social Psychology · doi:10.1016/0022-1031(86)90045-4 · Cited by 5,718
Mathieson, K. (1991) · Information Systems Research · doi:10.1287/isre.2.3.173 · Cited by 4,216
A Model of the Antecedents of Perceived Ease of Use: Development and Test
Venkatesh, V., & Davis, F. D. (1996) · Decision Sciences · doi:10.1111/j.1540-5915.1996.tb00860.x · Cited by 4,068
Sheppard, B. H., Hartwick, J., & Warshaw, P. R. (1988) · Journal of Consumer Research · doi:10.1086/209170 · Cited by 3,867
Agarwal, R., & Prasad, J. (1998) · Information Systems Research · doi:10.1287/isre.9.2.204 · Cited by 3,575
Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings
Tornatzky, L. G., & Klein, K. J. (1982) · IEEE Transactions on Engineering Management · doi:10.1109/tem.1982.6447463 · Cited by 3,401
Assessing IT Usage: The Role of Prior Experience
Taylor, S., & Todd, P. (1995) · MIS Quarterly · doi:10.2307/249633 · Cited by 2,891
Information Technology Implementation Research: A Technological Diffusion Approach
Cooper, R. B., & Zmud, R. W. (1990) · Management Science · doi:10.1287/mnsc.36.2.123 · Cited by 2,852
Venkatesh, V., & Morris, M. G. (2000) · MIS Quarterly · doi:10.2307/3250981 · Cited by 2,780
Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study1
Compeau, D., Higgins, C. A., & Huff, S. L. (1999) · MIS Quarterly · doi:10.2307/249749 · Cited by 2,631
Validating Instruments in MIS Research1
Straub, D. W. (1989) · MIS Quarterly · doi:10.2307/248922 · Cited by 2,625
Power In and Around Organizations.
Krackhardt, D. M., & Mintzberg, H. (1985) · Administrative Science Quarterly · doi:10.2307/2392702 · Cited by 2,412
Are Individual Differences Germane to the Acceptance of New Information Technologies?
Agarwal, R., & Prasad, J. (1999) · Decision Sciences · doi:10.1111/j.1540-5915.1999.tb01614.x · Cited by 2,174
Personal Computing Acceptance Factors in Small Firms: A Structural Equation Model1
Igbaria, M., Zinatelli, N., Cragg, P. B., & Cavaye, A. (1997) · MIS Quarterly · doi:10.2307/249498 · Cited by 1,711
Agarwal, R., & Prasad, J. (1997) · Decision Sciences · doi:10.1111/j.1540-5915.1997.tb01322.x · Cited by 1,669
Empirical Evaluation of the Revised Technology Acceptance Model
Szajna, B. (1996) · Management Science · doi:10.1287/mnsc.42.1.85 · Cited by 1,656
Explaining the Role of User Participation in Information System Use
Hartwick, J., & Barki, H. (1994) · Management Science · doi:10.1287/mnsc.40.4.440 · Cited by 1,540
Application of Social Cognitive Theory to Training for Computer Skills
Compeau, D., & Higgins, C. A. (1995) · Information Systems Research · doi:10.1287/isre.6.2.118 · Cited by 1,503
Creation of Favorable User Perceptions: Exploring the Role of Intrinsic Motivation1
Venkatesh, V. (1999) · MIS Quarterly · doi:10.2307/249753 · Cited by 1,428
An Empirical Assessment of a Modified Technology Acceptance Model
Chau, P. Y. K. (1996) · Journal of Management Information Systems · doi:10.1080/07421222.1996.11518128 · Cited by 1,131
Self-citationChau, P. Y. K. (1997) · Decision Sciences · doi:10.1111/j.1540-5915.1997.tb01313.x · Cited by 861
Self-citationTelemedicine Technology and Clinical Applications
Perednia, D. A. (1995) · JAMA · doi:10.1001/jama.1995.03520300057037 · Cited by 849
Influence of Experience on Personal Computer Utilization: Testing a Conceptual Model
Thompson, R. L., Higgins, C. A., & Howell, J. M. (1994) · Journal of Management Information Systems · doi:10.1080/07421222.1994.11518035 · Cited by 753
Harrison, D. A., Mykytyn, P. P., & Riemenschneider, C. K. (1997) · Information Systems Research · doi:10.1287/isre.8.2.171 · Cited by 658
Usefulness and ease of use: field study evidence regarding task considerations
Keil, M., Beranek, P. M., & Konsynski, B. R. (1995) · Decision Support Systems · doi:10.1016/0167-9236(94)e0032-m · Cited by 438
On the Definition and Evaluation of Telemedicine
Bashshur, R. L. (1995) · Telemedicine Journal · doi:10.1089/tmj.1.1995.1.19 · Cited by 317
Shaping the future: business design through information technology
(1992) · Choice Reviews Online · doi:10.5860/choice.29-3388 · Cited by 66
A portable digital imaging system in dermatology: Diagnostic and educational applications
Lyon, C. C., & HARRISON, P. V. (1997) · Journal of Telemedicine and Telecare · doi:10.1258/1357633971930490 · Cited by 55
"Telemedicine: Theory and Practice7
Grigsby, R. K. (1997) · Telemedicine Journal · doi:10.1089/tmj.1.1997.3.185 · Cited by 48
Pathologists' attitudes to implementing telepathology
Mairinger, T., Netzer, T., Schoner, W., & Gschwendtner, A. (1998) · Journal of Telemedicine and Telecare · doi:10.1258/1357633981931263 · Cited by 46
A Pilot Study of the Physician Acceptance of Tele-Oncology
Allen, A., Hayes, J., Sadasivan, R., Williamson, S. K., & Wittman, C. (1995) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x9500100107 · Cited by 46
User Adoption Issues in Renal Telemedicine
Mitchell, B., Mitchell, J. G., & Disney, A. P. S. (1996) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x9600200203 · Cited by 44
Hartwick, J., & Barki, H. (1994) · Information Systems Research · doi:10.1287/isre.5.4.446 · Cited by 44
Sheng, O. R. L., Hu, P. J., Wei, C., Higa, K., & Au, G. (1998) · Journal of Organizational Computing and Electronic Commerce · doi:10.1207/s15327744joce0804_1 · Cited by 43
Self-citationSocial Determinants of Information Systems Use
Robertson, D. (1989) · Journal of Management Information Systems · doi:10.1080/07421222.1989.11517839 · Cited by 39
What do physicians think of telemedicine? A survey in different European regions
Mairinger, T., Gabl, C., Derwan, P., Ferrer‐Roca, O., & Mikuz, G. (1996) · Journal of Telemedicine and Telecare · doi:10.1258/1357633961929169 · Cited by 36
User adoption issues in renal telemedicine
Mitchell, B., Mitchell, J. G., & Disney, A. P. S. (1996) · Journal of Telemedicine and Telecare · doi:10.1258/1357633961929835 · Cited by 27
What do students think about telemedicine?
Gschwendtner, A., Netzer, T., Mairinger, B., & Mairinger, T. (1997) · Journal of Telemedicine and Telecare · doi:10.1258/1357633971931093 · Cited by 25
Technology Management in Organizations
Mitchell, I. M., & Gattiker, U. Ε. (1991) · Journal of the Operational Research Society · doi:10.1057/jors.1991.212 · Cited by 22
Urban teleradiology in Hong Kong
Sheng, O. R. L., Hu, P. J., Au, G., Higa, K., & Wei, C. (1997) · Journal of Telemedicine and Telecare · doi:10.1258/1357633971930896 · Cited by 21
Self-citationFactors affecting perceptions of CASE effectiveness
Iivari, J. (1995) · European Journal of Information Systems · doi:10.1057/ejis.1995.18 · Cited by 19
Research works printed but not linked: 3
- Bashshur R. L., 1997, Telemedicine: Theory and practice
- Nunnally J. C., 1994, Psychometric theory
- Rogers E. M., 1995, The diffusion of innovation
Cited by
Sorted by citations
The Technology Acceptance Model: Its past and its future in health care
Holden, R. J., & Karsh, B.-T. (2010) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2009.07.002 · Cited by 2,669
Toward an understanding of the behavioral intention to use mobile banking
Luarn, P., & Lin, H. (2004) · Computers in Human Behavior · doi:10.1016/j.chb.2004.03.003 · Cited by 2,070
Knowledge sharing and firm innovation capability: an empirical study
Lin, H. (2007) · International Journal of Manpower · doi:10.1108/01437720710755272 · Cited by 1,739
Consumer e-shopping acceptance: Antecedents in a technology acceptance model
Ha, S., & Stoel, L. (2009) · Journal of Business Research · doi:10.1016/j.jbusres.2008.06.016 · Cited by 1,353
Understanding consumer acceptance of mobile payment services: An empirical analysis
Schierz, P. G., Schilke, O. S., & Wirtz, B. W. (2009) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2009.07.005 · Cited by 1,376
Metadata
- Authors
- Chau, P. Y. K., & Hu, P. J.
- Affiliations
- University of Hong Kong (HK)
- University of Utah (US)
- Corresponding author
- Chau, Patrick Y. K.
- Hu, Paul Jen‐Hwa
- Venue
- Decision Sciences
- Publisher
- Wiley
- Published
- 2001-12
- Volume
- 32
- Issue
- 4
- Pages
- 699-719
- ISSN
- 0011-7315 (ISSN-L)
- 1540-5915
- OpenAlex
- W2078518420
- Cited by
- 1,409
- References
- 50
- Citations by year
- 2026: 19 · 2025: 33 · 2024: 55 · 2023: 61 · 2022: 63 · 2021: 74 · 2020: 66 · 2019: 70 · 2018: 84 · 2017: 67 · 2016: 70 · 2015: 82 · 2014: 98 · 2013: 78 · 2012: 81
- FWCI
- 31.14
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Decision Sciences (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, technology acceptance model, theory of planned behavior, model comparison, telemedicine, physicians, healthcare workers, technology adoption, conceptual replication
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
