The DOI matches its Crossref record; 139 of the 141 references it cites were found in a registry or an index.
Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model
Open accessAbstract
Much previous research has established that perceived ease of use is an important factor influencing user acceptance and usage behavior of information technologies. However, very little research has been conducted to understand how that perception forms and changes over time. The current work presents and tests an anchoring and adjustment-based theoretical model of the determinants of system-specific perceived ease of use. The model proposes control (internal and external—conceptualized as computer self-efficacy and facilitating conditions, respectively), intrinsic motivation (conceptualized as computer playfulness), and emotion (conceptualized as computer anxiety) as anchors that determine early perceptions about the ease of use of a new system. With increasing experience, it is expected that system-specific perceived ease of use, while still anchored to the general beliefs regarding computers and computer use, will adjust to reflect objective usability, perceptions of external control specific to the new system environment, and system-specific perceived enjoyment. The proposed model was tested in three different organizations among 246 employees using three measurements taken over a three-month period. The proposed model was strongly supported at all points of measurement, and explained up to 60% of the variance in system-specific perceived ease of use, which is twice as much as our current understanding. Important theoretical and practical implications of these findings 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
“Further, previous research (Venkatesh 2000) has shown that ANX is a conceptually and empirically distinct construct.”
From Understanding the determinants of novel technology adoption among teachers: the case of 3D printing (2020) · cites this paper as Venkatesh 2000
In the citing paper
“enjoyment (Venkatesh 2000)”
From Emotional Manipulation by AI Companions (2025) · cites this paper as Venkatesh 2000
In the citing paper
“The tradition of adding variables is common in research on TAM [51, 136, 137] and on more general theories of human behavior [138, 139].”
From The Technology Acceptance Model: Its past and its future in health care (2010) · cites this paper as [137]
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
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737
Tversky, A., & Kahneman, D. (1974) · Science · doi:10.1126/science.185.4157.1124 · Cited by 28,810
(1980) · Medical Entomology and Zoology · Cited by 25,810
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
Self-citationJudgment under Uncertainty: Heuristics and Biases
Tversky, A., & Kahneman, D. (1975) · Utility, Probability, and Human Decision Making · doi:10.1007/978-94-010-1834-0_8 · Cited by 22,650
(1985) · Medical Entomology and Zoology · Cited by 19,180
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
Research works printed but not linked: 13
- Chin W. W., 1996, Admin. Sci. Assoc. Canada-24th Conf., IS Division Proc., 65
- Chin W. W., 1996, Proc. 17th Internat. Conf. Inform. Systems
- Compeau D. R., 1992, Individual Reactions to Computer Technology
- 10.1037/0022-3514.53.6.1024 · DOI · Paper page
- Elasmar M. G., 1996, J. Mass Comm. Ed., 51, 46
- Malone T. W., 1981, Byte, 6, 258
- 10.1111/j.1540-5915.1994.tb01840.x · DOI
- 10.1037/0022-3514.49.3.843 · DOI · Paper page
- Slovic P., 1971, Organ. Behavior and Human Performance, 6, 641
- 10.1037/0022-3514.66.5.895 · DOI
- Todd P., 1993, INFOR, 31, 1
- 10.1111/j.1540-5915.1996.tb01822.x · DOI · Paper page
- 10.2307/3150927 · DOI
Cited by
Sorted by citations
Items 1,001–1,046 of 1,046
Online social games: The effect of social comparison elements on continuance behaviour
Esteves, J., Valogianni, K., & Greenhill, A. (2021) · Information & Management · doi:10.1016/j.im.2021.103452 · Cited by 73
Job candidates’ reactions to AI-enabled job application processes
van Esch, P., Black, J. S., & Arli, D. (2021) · AI and Ethics · doi:10.1007/s43681-020-00025-0 · Cited by 72
Sellers’ Trust and Continued Use of Online Marketplaces
University of Arizona, & Sun, H. (2010) · Journal of the Association for Information Systems · doi:10.17705/1jais.00226 · Cited by 136
Are users threatened by credibility assessment systems?
Elkins, A. C., Dunbar, N. E., Adame, B., & Nunamaker, J. F. (2013) · Journal of Management Information Systems · doi:10.2753/mis0742-1222290409 · Cited by 69
Factors Affecting the Adoption of Mobile Payment Systems: An Empirical Analysis
Daştan, İ., & Gürler, C. (2016) · EMAJ: Emerging Markets Journal · doi:10.5195/emaj.2016.95 · Cited by 116
An Examination of Factors Associated with User Acceptance of Social Shopping Websites
Shen, J., & Eder, L. B. (2011) · International Journal of Technology and Human Interaction · doi:10.4018/jthi.2011010102 · Cited by 65
van Bussel, M. J. P., Odekerken–Schröder, G. J., Ou, C., Swart, R. R., & Jacobs, M. J. G. (2022) · BMC Health Services Research · doi:10.1186/s12913-022-08189-7 · Cited by 60
“In the technology acceptance model, self-efficacy is a major determinant of perceived ease of use, conceptually like effort expectancy in the UTAUT [103].”
Zou, B., Wang, C., Yan, Y., Du, X., & Ji, Y. (2025) · International Journal of Applied Linguistics · doi:10.1111/ijal.12658 · Cited by 66
Ursavaş, Ö. F., Yalçın, Y., İslamoğlu, H., Bakır-Yalçın, E., & Cukurova, M. (2025) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-025-00535-z · Cited by 69
Kim, K. J. (2016) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2016.0136 · Cited by 60
The impact of service level on the acceptance of application service oriented medical records
Liu, L., & Ma, Q. (2005) · Information & Management · doi:10.1016/j.im.2004.12.004 · Cited by 59
Socially augmented argumentation tools: Rationale, design and evaluation of a debate dashboard
Iandoli, L., Quinto, I., De Liddo, A., & Buckingham Shum, S. (2014) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2013.08.006 · Cited by 54
Manipulating user resistance to large-scale information systems through influence tactics
Ilie, V., & Turel, O. (2020) · Information & Management · doi:10.1016/j.im.2019.103178 · Cited by 52
Lee, W., Tyrrell, T., & Erdem, M. (2013) · Journal of Hospitality and Tourism Technology · doi:10.1108/17579881311302329 · Cited by 48
Hossain, M. A., Standing, C., & Chan, C. (2017) · Information Technology & People · doi:10.1108/itp-06-2016-0133 · Cited by 47
Understanding the Adoption of Voice Activated Personal Assistants
Coskun-Setirek, A., & Mardikyan, S. (2017) · International Journal of E-Services and Mobile Applications · doi:10.4018/ijesma.2017070101 · Cited by 44
Czok, V., Krug, M., Müller, S., Huwer, J., & Weitzel, H. (2023) · Sustainability · doi:10.3390/su152115313 · Cited by 44
Chan, S. H., Song, Q., & Yao, L. J. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.04.059 · Cited by 43
Zhu, C., Fong, L. H. N., Liu, C. Y. N., & Song, H. (2023) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-04-2022-0119 · Cited by 39
The Government of Jamaica’s electronic procurement system: experiences and lessons learned
Ahmad, T., Aljafari, R., & Venkatesh, V. (2019) · Internet Research · doi:10.1108/intr-02-2019-0044 · Cited by 39
Self-citationArnold, C., Farhall, J., Villagonzalo, K.-A., Sharma, K., & Thomas, N. (2021) · Internet Interventions · doi:10.1016/j.invent.2021.100411 · Cited by 34
“Computer literacy is proposed to be an important factor in the uptake and continued use of technology (Venkatesh, 2000) and may be pertinent to engagement with online interventions.”
BackgroundWen, F., Li, Y., Zhou, Y., An, X., & Zou, Q. (2024) · Journal of Educational Technology Development and Exchange · doi:10.18785/jetde.1701.07 · Cited by 39
“…secondary school students learning English as a foreign language With regard to the manner in which anxiety factor affects behavioral intention, Venkatesh et al. (2003) believed that computer anxiety was not a direct determinant of behavioral intention but an indirect determinant (Venkatesh, 2000).”
BackgroundResultDJ, B., P, V. S., DS, S., & WA, C. (2003) · Medical Informatics and the Internet in Medicine · doi:10.1080/14639230310001600452 · Cited by 36
Lee, S., Jones-Jang, S. M., Chung, M., Kim, N., & Choi, J. (2024) · Information Research an international electronic journal · doi:10.47989/ir291647 · Cited by 36
Usefulness scale for patient information material (USE) - development and psychometric properties
Hölzel, L. P., Ries, Z., Dirmaier, J., Zill, J. M., Kriston, L., Klesse, C., Härter, M., & Bermejo, I. (2015) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-015-0153-7 · Cited by 34
Van Schaik, P., Flynn, D., Van Wersch, A., Douglass, A., & Cann, P. (2004) · Behaviour & Information Technology · doi:10.1080/0144929041000669941 · Cited by 32
Sarosa, S. (2019) · Procedia Computer Science · doi:10.1016/j.procs.2019.11.106 · Cited by 30
Ernstmann, N., Ommen, O., Neumann, M., Hammer, A., Voltz, R., & Pfaff, H. (2009) · Journal of Medical Systems · doi:10.1007/s10916-008-9178-0 · Cited by 30
Wagner, G., Raymond, L., & Paré, G. (2023) · JMIR Medical Education · doi:10.2196/45631 · Cited by 27
Peng, L., Man, S. S., Chan, A. H. S., & Ng, J. Y. K. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2022.2050539 · Cited by 23
Lin, C.-W., Chien, C.-Y., Ou Yang, C.-P., & Mao, T.-Y. (2022) · Sustainability · doi:10.3390/su15010589 · Cited by 22
Study on Intention and Attitude of Using Artificial Intelligence Technology in Healthcare
단국대학교 보건과학대학 보건행정학과, 연. 의., & Kim, J.-M. (2017) · Convergence Society for SMB · doi:10.22156/cs4smb.2017.7.4.053 · Cited by 21
Customer adoption of Neobank services from a technology acceptance perspective–evidence from Hungary
Faculty of Economics, U. O. M., Nagy, S., Molnár, L., Faculty of Economics, U. O. M., Papp, A., & Faculty of Economics, U. O. M. (2023) · Decision Making: Applications in Management and Engineering · doi:10.31181/dmame712024883 · Cited by 19
An Analysis of Factors Affecting User Acceptance of ERP Systems in the United States
Bandyopadhyay, K., & Barnes, C. (2012) · International Journal of Human Capital and Information Technology Professionals · doi:10.4018/jhcitp.2012010101 · Cited by 19
Exploring Factors Impacting Users' Attitude and Intention towards Social Tagging Systems
Allam, H., Blustein, J., Bliemel, M., & Spiteri, L. (2012) · 2012 45th Hawaii International Conference on System Sciences · doi:10.1109/hicss.2012.267 · Cited by 19
Aldossary (2024) · doi:10.3390/info15040202 · Cited by 17
Health Website Success: User Engagement in Health-Related Websites
Imlawi, J. (2017) · International Journal of Interactive Mobile Technologies (iJIM) · doi:10.3991/ijim.v11i6.6959 · Cited by 14
Khoso, A. K., Honggang, W., Younas, M., & Salam El-Dakhs, D. A. (2025) · Journal of Visualized Experiments · doi:10.3791/69637 · Cited by 17
Emotional Manipulation by AI Companions
De Freitas, J., Oguz-Uguralp, Z., & Kaan-Uguralp, A. (2025) · arXiv · doi:10.48550/arxiv.2508.19258 · Cited by 12
Sun, S., Xiong, C., & Chang, V. (2019) · International Journal of Enterprise Information Systems · doi:10.4018/ijeis.2019010102 · Cited by 11
Nævdal, R., Vis, C., & Kenter, R. M. F. (2025) · Internet Interventions · doi:10.1016/j.invent.2025.100881 · Cited by 6
“…and improving technology adoption across sectors such as education, business, and information systems (Davis et al., 2024; King and He, 2006; Venkatesh, 2000; Venkatesh and Bala, 2008; Venkatesh and Davis, 2000), its application in healthcare, particularly in understanding mental health…”
Lee, W., Chang, S., & Suh, J. (2025) · Education Sciences · doi:10.3390/educsci15111478 · Cited by 5
“Immediate satisfaction and enjoyment of the learning experience (Venkatesh, 2020; Woo & Hwang, 2009; J. Kim, 2015).”
Xu, W., Zhu, K., Zhou, D., Wang, C., & Wen, C. (2025) · Education Sciences · doi:10.3390/educsci15070828 · Cited by 4
Ringeval, M., Raymond, L., Pomey, M.-P., & Paré, G. (2025) · Journal of Medical Internet Research · doi:10.2196/64804 · Cited by 4
Design science in information systems research
(2004) · Journal of the Association for Information Systems · doi:10.5555/2017212.2017217 · Cited by 8,254
(2004) · Journal of the Association for Information Systems · Cited by 315
Metadata
- Authors
- Venkatesh, V.
- Affiliations
- University of Maryland, College Park (US)
- Corresponding author
- Venkatesh, Viswanath
- ORCID
- Venkatesh, Viswanath
- Venue
- Information Systems Research
- Published
- 2000-12
- Volume
- 11
- Issue
- 4
- Pages
- 342-365
- ISSN
- 1047-7047 (ISSN-L)
- 1526-5536
- OpenAlex
- W2166982098
- Cited by
- 6,664
- References
- 141
- Citations by year
- 2026: 229 · 2025: 337 · 2024: 343 · 2023: 418 · 2022: 464 · 2021: 439 · 2020: 344 · 2019: 361 · 2018: 299 · 2017: 297 · 2016: 345 · 2015: 342 · 2014: 365 · 2013: 327 · 2012: 302
- FWCI
- 117.58
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Information Systems Research (publishedVersion)
- SSRN Electronic Journal (acceptedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Social Sciences › Gender Studies › Gender and Technology in Education
- Keywords
- perceived ease of use, technology acceptance model, anchoring and adjustment, computer self-efficacy, facilitating conditions, intrinsic motivation, computer playfulness, computer anxiety, emotions, perceived enjoyment, user acceptance, employee technology use
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