The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Testing the Determinants of Microcomputer Usage via a Structural Equation Model
Abstract
:The objective of this study was to develop and test an integrated conceptual model of microcomputer usage. This study used the technology acceptance model and sought to extend it by investigating the impact of the external factors (i.e., individual, organizational, and system characteristics) on the user acceptance of microcomputer technology. The paper reports the results of a field study investigating the determinants of microcomputer usage. The analyses of the measurement model confrrm the existence of two distinct constructs of (1) beliefs—perceived usefulness and perceived ease of use; (2) organizational support—management support and end-user computing (EUC) support; and (3) microcomputer usage—perceived usage and variety of use. The tested conceptual model confrrms the effects of individual, organizational, and system characteristics on perceived ease of use and perceived usefulness. The model also confirms the influence of perceived ease of use on perceived usefulness, and the effects of perceived usefulness on perceived usage and variety of use. Results confrrm several previously proposed notions, including the effects of individual, organizational, and system characteristics on ease of use and usefulness; the influence of ease of use on usefulness, and the effects of perceived usefulness on usage and variety of use. The results demonstrate the utility of investigating factors contributing to microcomputer usage and the external factors affecting endogenous variables such as system usefulness. The importance of EUC support and management support is corroborated, as well as the need for designing mechanisms such as training programs and newsletters to improve user perceptions of microcomputers.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
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
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
Self-efficacy mechanism in human agency
Bandura, A. (1982) · American Psychologist · doi:10.1037/0003-066x.37.2.122 · Cited by 15,975
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
Self-efficacy: implications for organizational behavior and human resource management
Gist, M. E. (1987) · The Academy of Management Review · doi:10.5465/amr.1987.4306562 · Cited by 1,447
Determinants of success for computer usage in small business
DeLone, W. H. (1988) · MIS Quarterly · doi:10.2307/248803 · Cited by 703
Cited by
A Theoretical Integration of User Satisfaction and Technology Acceptance
Wixom, B. H., & Todd, P. A. (2005) · Information Systems Research · doi:10.1287/isre.1050.0042 · Cited by 2,835
The Technology Acceptance Model: Past, Present, and Future
Lee, Y., Kozar, K. A., & Larsen, K. R. T. (2003) · Communications of the Association for Information Systems · doi:10.17705/1cais.01250 · Cited by 2,572
The Relative Importance of Perceived Ease of Use in IS Adoption: A Study of E-Commerce Adoption
Drexel University, Gefen, D., Straub, D., & Georgia State University (2000) · Journal of the Association for Information Systems · doi:10.17705/1jais.00008 · Cited by 1,833
Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis
Rai, A., Lang, S. S., & Welker, R. B. (2002) · Information Systems Research · doi:10.1287/isre.13.1.50.96 · Cited by 1,611
Vijayasarathy, L. R. (2004) · Information & Management · doi:10.1016/j.im.2003.08.011 · Cited by 1,218
The Role of Espoused National Cultural Values in Technology Acceptance1
Srite, M., & Karahanna, E. (2006) · MIS Quarterly · doi:10.2307/25148745 · Cited by 1,169
A Review of the Predictors, Linkages, and Biases in IT Innovation Adoption Research
Jeyaraj, A., Rottman, J. W., & Lacity, M. C. (2006) · Journal of Information Technology · doi:10.1057/palgrave.jit.2000056 · Cited by 1,136
Does the technology acceptance model predict actual use? A systematic literature review
Turner, M., Kitchenham, B., Brereton, P., Charters, S., & Budgen, D. (2010) · Information and Software Technology · doi:10.1016/j.infsof.2009.11.005 · Cited by 851
Hong, W., Thong, J. Y. L., Wong, W.-M., & Tam, K.-Y. (2002) · Journal of Management Information Systems · doi:10.1080/07421222.2002.11045692 · Cited by 827
Chau, P. Y. K., & Hu, P. J. (2002) · Journal of Management Information Systems · doi:10.1080/07421222.2002.11045699 · Cited by 707
Information System Success: Individual and Organizational Determinants
Sabherwal, R., Jeyaraj, A., & Chowa, C. (2006) · Management Science · doi:10.1287/mnsc.1060.0583 · Cited by 685
The Technology Acceptance Model: A Meta-Analysis of Empirical Findings
Ma, Q., & Liu, L. (2004) · Journal of Organizational and End User Computing · doi:10.4018/joeuc.2004010104 · Cited by 660
Technology acceptance: a meta‐analysis of the TAM: Part 1
Yousafzai, S. Y., Foxall, G. R., & Pallister, J. G. (2007) · Journal of Modelling in Management · doi:10.1108/17465660710834453 · Cited by 624
A Systematic Review of Patient Acceptance of Consumer Health Information Technology
Or, C. K. L., & Karsh, B.-T. (2009) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m2888 · Cited by 586
Using Social Network Sites: The Effects of Playfulness, Critical Mass and Trust in a Hedonic Context
Sledgianowski, D., & Kulviwat, S. (2009) · Journal of Computer Information Systems · doi:10.1080/08874417.2009.11645342 · Cited by 568
Calisir, F., & Calisir, F. (2004) · Computers in Human Behavior · doi:10.1016/j.chb.2003.10.004 · Cited by 474
Kim, T. G., Lee, J. H., & Law, R. (2008) · Tourism Management · doi:10.1016/j.tourman.2007.05.016 · Cited by 369
THONG, J. Y. L., HONG, W., & TAM, K.-Y. (2002) · International Journal of Human-Computer Studies · doi:10.1016/s1071-5819(02)91024-4 · Cited by 347
Sharma, R., & Yetton, P. (2007) · MIS Quarterly · doi:10.2307/25148789 · Cited by 285
Rajan, C. A., & Baral, R. (2015) · IIMB Management Review · doi:10.1016/j.iimb.2015.04.008 · Cited by 234
Thatcher, J. B., McKnight, D. H., Baker, E. W., Arsal, R. E., & Roberts, N. H. (2011) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2009.2028320 · Cited by 196
Theory of user acceptance of information technologies: an examination of health care professionals
Succi, M. J., & Walter, Z. D. (2003) · Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers · doi:10.1109/hicss.1999.773013 · Cited by 145
Self-efficacy as an antecedent of cognition and affect in technology acceptance
Kulviwat, S., C. Bruner II, G., & P. Neelankavil, J. (2014) · Journal of Consumer Marketing · doi:10.1108/jcm-10-2013-0727 · Cited by 144
Acceptance of Mobile Health Applications: Examining Key Determinants and Moderators
Nunes, A., Limpo, T., & Castro, S. L. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.02791 · Cited by 114
Clinton-McHarg, T., Yoong, S. L., Tzelepis, F., Regan, T., Fielding, A., Skelton, E., Kingsland, M., Ooi, J. Y., & Wolfenden, L. (2016) · Implementation Science · doi:10.1186/s13012-016-0512-5 · Cited by 116
Customization and real time information access in integrated eBusiness supply chain relationships
Klein, R. (2007) · Journal of Operations Management · doi:10.1016/j.jom.2007.03.001 · Cited by 108
Acceptance of recommendations to buy in online retailing.
Baier, D., & Stüber, E. (2010) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2010.03.005 · Cited by 106
PDA usage in healthcare professionals: testing an extended technology acceptance model
Liang, H., Xue, Y., & Byrd, T. A. (2003) · International Journal of Mobile Communications · doi:10.1504/ijmc.2003.003992 · Cited by 98
Yue, W., & Wilson, C. S. (2004) · Scientometrics · doi:10.1023/b:scie.0000034377.93437.18 · Cited by 71
Developing and validating a model explaining the assimilation process of RFID: An empirical study
Hossain, M. A., Quaddus, M., & Islam, N. (2016) · Information Systems Frontiers · doi:10.1007/s10796-014-9537-y · Cited by 57
Yeow, P. H. P., & Loo, W. H. (2009) · International Journal of Electronic Government Research · doi:10.4018/jegr.2009040103 · Cited by 53
Hossain, M. A., Standing, C., & Chan, C. (2017) · Information Technology & People · doi:10.1108/itp-06-2016-0133 · Cited by 47
Hossain, M. A., Hasan, M. I., Chan, C., & Ahmed, J. U. (2017) · Australasian Journal of Information Systems · doi:10.3127/ajis.v21i0.1454 · Cited by 45
AI Adoption in Jordanian SMEs: The Influence of Technological and Organizational Orientations
Almashawreh, R., Talukder, M., Charath, S. K., & Khan, M. I. (2024) · Global Business Review · doi:10.1177/09721509241250273 · Cited by 39
Metadata
- Authors
- Igbaria, M., Guimaraes, T., & Davis, G. B.
- Venue
- Journal of Management Information Systems
- Publisher
- Informa UK Limited
- Published
- 1995-03
- Volume
- 11
- Issue
- 4
- Pages
- 87-114
- ISSN
- 0742-1222 (ISSN-L)
- 1557-928X
- OpenAlex
- W1533217779
- Cited by
- 1,159
- References
- 9
- FWCI
- 39.35
- Type
- journal article
- Language
- en
- Open access
- closed
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
