The DOI matches its Crossref record; 76 of the 78 references it cites were found in a registry or an index.
Toward Preprototype User Acceptance Testing of New Information Systems: Implications for Software Project Management
Abstract
Errors in requirements specifications have been identified as a major contributor to costly software project failures. It would be highly beneficial if information systems developers could verify requirements by predicting workplace acceptance of a new system based on user evaluations of its specifications measured during the earliest stages of the development project, ideally before building a working prototype. However, conventional wisdom among system developers asserts that prospective users must have direct hands-on experience with at least a working prototype of a new system before they can provide assessments that accurately reflect future usage behavior after workplace implementation. The present research demonstrates that this assumption is only partially true. Specifically, it is true that stable and predictive assessments of a system's perceived ease of use should be based on direct behavioral experience using the system. However, stable and behaviorally predictive measures of perceived usefulness can be captured from target users who have received information about a system's functionality, but have not had direct hands-on usage experience. This distinction is key because, compared to ease of use, usefulness is generally much more strongly linked to future usage intentions and behaviors in the workplace. Two longitudinal field experiments show that preprototype usefulness measures can closely approximate hands-on based usefulness measures, and are significantly pr…
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“Perceived ease of use has been theorized to be closely associated with individuals' self-efficacy beliefs and procedural knowledge, which requires handson experience and execution of skills (Davis et al., 1989;Venkatesh, 2000;Davis & Venkatesh, 2004).”
From Technology Acceptance Model 3 and a Research Agenda on Interventions (2008) · cites this paper as Davis & Venkatesh, 2004
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
Self-citationUser Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
Self-citation(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737
(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
Self-citationA 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-citationSelf-efficacy mechanism in human agency
Bandura, A. (1982) · American Psychologist · doi:10.1037/0003-066x.37.2.122 · Cited by 15,975
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
Anderson, J. R. (2013) · doi:10.4324/9781315799438 · Cited by 6,761
Research works printed but not linked: 6
- 10.1111/j.1540-5915.1996.tb01822.x · DOI · Paper page
- jones, 1996, Patterns of Software Systems Failure and Success
- 1994, Charting the Seas of Information Technology
- pfleeger, 1998, Software Engineering Theory and Practice
- markus, 1994, if we build it, they will come: designing information systems that people want to use, Sloan Manage Rev, 11
- mann, 2002, why software is so bad, Technol Rev, 33
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Cardona, D., & González, J. P. (2010) · SSRN Electronic Journal · doi:10.2139/ssrn.1681108
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Campbell, M. (2022) · Digital Archive @ GSU · doi:10.57709/4101629
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Green, T.-A. (2014)
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van Ittersum, K., Rogers, W. A., Capar, M., Park, S., Caine, K. E., O’Brien, M. A., Parsons, L. J., & Fisk, A. D. (2007) · SMARTech Repository (Georgia Institute of Technology)
The dhammic framework applications for understanding student behavioral usage of innovations
Jarupunphol, P. (2016) · International Conference on Computer Science & Education (ICCSE) · doi:10.1109/iccse.2016.7581577
“, Diffusion of Innovation [2], [3], Technology Acceptance Model (TAM) [4], [5], [6], [7], [8], Theory of Reasoned Action (TRA) [9], Theory of Planned Behaviour (TPB) [10], and Unified Theory of Acceptance and Use of technology (UTAUT) [11], [12], [13]).”
BackgroundWidyartono, A., & Tyra, M. J. (2017) · Jurnal Ekonomi · doi:10.24912/je.v21i3.30
Chandran, A. (2013) · TSpace (University of Toronto)
Öörni, A., Pantzar, M., & Kuula, M. (2017) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2017.468
Adetimirin, A. E. (2015) · Informing Science and IT Education Conference · doi:10.28945/2230
“Past studies (see for example, Davis & Venkatesh, 2004; Venkatesh, 2000) have used TAM 3 to determine how an individual will use a technology.”
BackgroundStrategic Responses to the Challenges of Testing Web Based Applications
Njuguna, C. N. (2014)
Vasilache, R., Căpățînă, A., & Schin, G. C. (2018) · Proceedings of the ... International Conference on Business Excellence · doi:10.2478/picbe-2018-0090
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Cavalcante, G. M., Ceolin, A. C., & Barros, J. E. D. M. (2018) · Revista Gestão Organizacional · doi:10.22277/rgo.v11i2.4532
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Metadata
- Authors
- Davis, F. D., & Venkatesh, V.
- Affiliations
- University of Arkansas at Fayetteville (US)
- University of Maryland, College Park (US)
- ORCID
- Davis, F.D.
- Venue
- IEEE Transactions on Engineering Management
- Published
- 2004-02
- Volume
- 51
- Issue
- 1
- Pages
- 31-46
- ISSN
- 0018-9391 (ISSN-L)
- OpenAlex
- W2130427181
- Cited by
- 582
- References
- 78
- Citations by year
- 2026: 16 · 2025: 31 · 2024: 28 · 2023: 29 · 2022: 41 · 2021: 32 · 2020: 29 · 2019: 36 · 2018: 30 · 2017: 30 · 2016: 24 · 2015: 32 · 2014: 35 · 2013: 37 · 2012: 18
- FWCI
- 40.16
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Engineering Management (publishedVersion)
- 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
- Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
- Keywords
- user acceptance testing, perceived usefulness, perceived ease of use, requirements verification, software project management, intention to use, information system development, requirements errors
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