The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Developing and Validating an Observational Learning Model of Computer Software Training and Skill Acquisition
Abstract
Computer skills are key to organizational performance, and past research indicates that behavior modeling is a highly effective form of computer skill training. The present research develops and tests a new theoretical model of the underlying observational learning processes by which modeling-based training interventions influence computer task performance. Observational learning processes are represented as a second-order construct with four dimensions (attention, retention, production, and motivation). New measures for these dimensions were developed and shown to have strong psychometric properties. The proposed model controls for two pretraining individual differences (motivation to learn and self-efficacy) and specifies the relationships among three training outcomes (declarative knowledge, post-training self-efficacy, and task performance). The model was tested using PLS on data from an experiment (N= 95) on computer spreadsheet training. As hypothesized, observational learning processes significantly influenced training outcomes. A representative modeling-based training intervention (retention enhancement) significantly improved task performance through its specific effects on the retention processes dimension of observational learning. The new model provides a more complete theoretical account of the mechanisms by which modeling-based interventions affect training outcomes, which should enable future research to systematically evaluate the effectiveness of a wide range of modeling-based training interventions. Further, the new instruments can be used by practitioners to refine ongoing training programs.
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
Self-citationSelf-efficacy: The exercise of control
Bandura, A., Freeman, W. H., & Lightsey, R. (1999) · Journal of Cognitive Psychotherapy · doi:10.1891/0889-8391.13.2.158 · Cited by 46,835
A Paradigm for Developing Better Measures of Marketing Constructs
Churchill, G. A. (1979) · Journal of Marketing Research · doi:10.1177/002224377901600110 · Cited by 16,549
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150
THE BIG FIVE PERSONALITY DIMENSIONS AND JOB PERFORMANCE: A META‐ANALYSIS
BARRICK, M. R., & MOUNT, M. K. (1991) · Personnel Psychology · doi:10.1111/j.1744-6570.1991.tb00688.x · Cited by 8,689
Modern Methods for Business Research
(1998) · doi:10.4324/9781410604385 · Cited by 6,534
Agarwal, R., & Karahanna, E. (2000) · MIS Quarterly · doi:10.2307/3250951 · Cited by 4,726
Acquisition of cognitive skill
Anderson, J. R. (1982) · Psychological Review · doi:10.1037/0033-295x.89.4.369 · Cited by 3,663
Cited by
MacKenzie, S. B., Podsakoff, P. M., & Podsakoff, N. P. (2011) · MIS Quarterly · doi:10.2307/23044045 · Cited by 3,165
Sitzmann, T., & Ely, K. (2011) · Psychological Bulletin · doi:10.1037/a0022777 · Cited by 897
Sharma, R., & Yetton, P. (2007) · MIS Quarterly · doi:10.2307/25148789 · Cited by 285
Why Do College Students Cheat?
Simkin, M. G., & McLeod, A. (2010) · Journal of Business Ethics · doi:10.1007/s10551-009-0275-x · Cited by 246
Rajan, C. A., & Baral, R. (2015) · IIMB Management Review · doi:10.1016/j.iimb.2015.04.008 · Cited by 234
Research Note—Gamification of Technology-Mediated Training: Not All Competitions Are the Same
Santhanam, R., Liu, D., & Shen, W.-C. M. (2016) · Information Systems Research · doi:10.1287/isre.2016.0630 · Cited by 213
Motivating Employees to Explore Collaboration Technology in Team Contexts1
Maruping, L. M., & Magni, M. (2015) · MIS Quarterly · doi:10.25300/misq/2015/39.1.01 · Cited by 126
Shao, Z., Feng, Y., & Hu, Q. (2017) · Information & Management · doi:10.1016/j.im.2017.01.005 · Cited by 119
Editorial: Perspectives on Partial Least Squares
Vinzi, V. E., Chin, W. W., Henseler, J., & Wang, H. (2010) · Handbook of Partial Least Squares · doi:10.1007/978-3-540-32827-8_1 · Cited by 108
Nanyang Technological University, Chandra, S., Srivastava, S., HEC School of Management, P., Theng, Y.-L., & Nanyang Technological University (2012) · Journal of the Association for Information Systems · doi:10.17705/1jais.00310 · Cited by 90
The effect of voice and humour on users’ perceptions of personal intelligent agents
Moussawi, S., & Benbunan-Fich, R. (2021) · Behaviour & Information Technology · doi:10.1080/0144929x.2020.1772368 · Cited by 83
Ma, Q., Chan, A. H. S., & Teh, P.-L. (2020) · Sustainability · doi:10.3390/su12114555 · Cited by 73
An Empirical Study of Some Critical Adoption Factors of ERP Software
Awa, H. O., Uko, J. P., & Ukoha, O. (2017) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2016.1265828 · Cited by 48
Generating Mobile Application Onboarding Insights Through Minimalist Instruction
Strahm, B., Gray, C. M., & Vorvoreanu, M. (2018) · Proceedings of the 2018 Designing Interactive Systems Conference · doi:10.1145/3196709.3196727 · Cited by 36
Specifying Formative Constructs in Information Systems Research1
Petter, S., Straub, D., & Rai, A. (2007) · MIS Quarterly · doi:10.2307/25148814 · Cited by 32
Performance Outcomes of Test-Driven Development: An Experimental Investigation
Texas A&M University Texarkana, U., Bhadauria, V., Mahapatra, R., University of Texas Arlington, U., Nerur, S., & University of Texas Arlington, U. (2020) · Journal of the Association for Information Systems · doi:10.17705/1jais.00628 · Cited by 9
Metadata
- Authors
- Yi, M. Y., & Davis, F. D.
- Venue
- Information Systems Research
- Published
- 2003-06
- Volume
- 14
- Issue
- 2
- Pages
- 146-169
- ISSN
- 1047-7047 (ISSN-L)
- 1526-5536
- OpenAlex
- W2123841990
- Cited by
- 571
- References
- 17
- FWCI
- 14.82
- 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.