Cited by 266Technology Adoption and User BehaviourInformation Systems Theories and ImplementationUsability and User Interface Design

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A feedback model to understand information system usage

Bajaj, Akhilesh, Nidumolu, Sarma R·1998·Information & Management

DOI 10.1016/s0378-7206(98)00026-3

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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
Coefficient Alpha and the Internal Structure of Tests
Cronbach, L. J. (1951) · Psychometrika · doi:10.1007/bf02310555 · Cited by 43,931
Untitled work
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737
Untitled work
(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 Theory of Cognitive Dissonance
Festinger, L. (1957) · doi:10.1515/9781503620766 · Cited by 24,241
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
A Theory of Cognitive Dissonance
Morvan, C., & O’Connor, A. (2017) · Macat Library eBooks · doi:10.4324/9781912282432 · Cited by 18,284
Convergent and discriminant validation by the multitrait-multimethod matrix.
Campbell, D. T., & Fiske, D. W. (1959) · Psychological Bulletin · doi:10.1037/h0046016 · Cited by 17,116
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

Show all 48 references

Research works printed but not linked: 6

P.M. Fitts, Perceptual motor skill learning, In: A.W. Melton, (Ed.) Categories of Human Learning, Academic Press, New York, 1964
R. Glaser, M.T. Chi, Overview, In: M.T. Chi, R. Glaser, M.J. Farr, (Eds.), The Nature of Expertise, Erlbaum, Hillsdale, NJ, 1989, pp. xv–xxviii
J.C. Nunnally, Psychometric Theory, McGraw Hill, New York, 1978
E.M. Rogers, The Diffusion of Innovations 3rd edn., The Free Press, New York, 1983
R.M. Shiffrin, S.T. Dumais, The development of automatism, In: J.R. Anderson, (Ed.), Cognitive Skills and their Acquisition, Erlbaum, Hillsdale, NJ, 1981, pp. 111–140
M.P. Zanna, R.H. Fazio, The attitude–behavior relation: Moving toward a third generation of research, In: M.P. Zanna et al., (Eds.), Consistency in Social Behavior: The Ontario Symposium, vol. 2, Erlbaum, Hillsdale, NJ, 1982

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Authors: Bajaj, A., & Nidumolu, S. R.
Affiliations: Carnegie Mellon University (US)
University of Arizona (US)
Corresponding author: Bajaj, Akhilesh
ORCID: Bajaj, Akhilesh
Venue: Information & Management
Publisher: Elsevier BV
Published: 1998-03
Volume: 33
Issue: 4
Pages: 213-224
ISSN: 0378-7206 (ISSN-L)
DOI: 10.1016/s0378-7206(98)00026-3
OpenAlex: W2004664193
Cited by: 266
References: 48
Citations by year: 2025: 4 · 2024: 4 · 2023: 6 · 2022: 3 · 2021: 6 · 2020: 10 · 2019: 10 · 2018: 9 · 2017: 10 · 2016: 16 · 2015: 20 · 2014: 9 · 2013: 18 · 2012: 18
FWCI: 5.23
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Information & Management (publishedVersion)
Digital Eprints Services at ISB (DESI) (Indian School of Business) (submittedVersion)
Topics: Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
Social Sciences › Business, Management and Accounting › Management Information Systems › Information Systems Theories and Implementation
Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
Keywords: information system use, continued usage, feedback model, past behavior, perceived ease of use, end-user adoption, IS implementation, longitudinal modeling, instrumental variables

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A feedback model to understand information system usage

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