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Understanding e-learning continuance intention: An extension of the Technology Acceptance Model

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Roca, Juan Carlos, Chiu, Chao-Min, Martínez, Francisco José·2006·International Journal of Human-Computer Studies

DOI 10.1016/j.ijhcs.2006.01.003

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Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
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Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
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
Common method biases in behavioral research: A critical review of the literature and recommended remedies
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194
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Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
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
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A conceptual model of service quality and its implications for future research
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Hsu, 2003, Examining the WWW continuance: an extended expectation confirmation model, Communications of the ICISA, 5, 12
Oliver, 1981, Measurement and evaluation of satisfaction process in retail setting, Journal of Retailing, 57, 25

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Authors: Roca, J. C., Chiu, C.-M., & Martínez, F. J.
Affiliations: Universidad de Huelva (ES)
National Central University (TW)
Corresponding author: Roca, Juan Carlos
ORCID: Roca, Juan Carlos
Chiu, Chao-Min
Venue: International Journal of Human-Computer Studies
Publisher: Elsevier BV
Published: 2006-08
Volume: 64
Issue: 8
Pages: 683-696
ISSN: 1071-5819 (ISSN-L)
DOI: 10.1016/j.ijhcs.2006.01.003
OpenAlex: W2013530657
Semantic Scholar: b77034401eb0332a912c4911eedea654d47a091c
Cited by: 1,399
References: 106
Citations by year: 2026: 62 · 2025: 56 · 2024: 57 · 2023: 115 · 2022: 102 · 2021: 81 · 2020: 82 · 2019: 83 · 2018: 81 · 2017: 62 · 2016: 74 · 2015: 104 · 2014: 96 · 2013: 80 · 2012: 83
FWCI: 49.02
Type: journal article
Language: en
Open access: green
hdl.handle.net
Licence: cc-by-nc-nd
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: International Journal of Human-Computer Studies (publishedVersion)
Repositorio Institucional de la Universidad de Huelva (Universidad de Huelva) (submittedVersion, cc-by-nc-nd)
Topics: Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
Social Sciences › Education › Online and Blended Learning
Social Sciences › Business, Management and Accounting › Marketing › Customer Service Quality and Loyalty
Keywords: online learning, continuance intention, technology acceptance model, expectancy disconfirmation theory, perceived performance, perceived quality, perceived usability, user satisfaction, perceived usefulness, perceived ease of use, information quality, service quality, system quality, cognitive absorption

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Understanding e-learning continuance intention: An extension of the Technology Acceptance Model

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