Online Learning: Adoption, Continuance, and Learning Outcome—A Review of Literature
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User capabilities and environments heavily influence technology adoption.
“The identified findings suggest that user capabilities and environments heavily influence technology adoption [55], highlighting the importance of pairing technological interventions with environmental and social supports to foster sustained use in care settings.”
From Smart Speakers for Health and Well-Being of Older Adults: A Mixed-Methods Review (2025) · cites this paper as [55]
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 · see citing works
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 · see citing works
User 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 · see citing works
Social Cognitive Theory: An Agentic Perspective
Bandura, A. (2001) · Annual Review of Psychology · doi:10.1146/annurev.psych.52.1.1 · Cited by 15,510 · see citing works
Understanding Information Systems Continuance: An Expectation-Confirmation Model1
Bhattacherjee, A. (2001) · MIS Quarterly · doi:10.2307/3250921 · Cited by 8,767 · see citing works
Construal-level theory of psychological distance.
Trope, Y., & Liberman, N. (2010) · Psychological Review · doi:10.1037/a0018963 · Cited by 6,618 · see citing works
Task-Technology Fit and Individual Performance
Goodhue, D. L., & Thompson, R. L. (1995) · MIS Quarterly · doi:10.2307/249689 · Cited by 6,006 · see citing works
Wohlin, C. (2014) · Proceedings of the 18th International Conference on Evaluation and Assessment in Software Engineering · doi:10.1145/2601248.2601268 · Cited by 4,234 · see citing works
Binge eating as escape from self-awareness
Heatherton, T. F., & Baumeister, R. F. (1991) · Psychological Bulletin · doi:10.1037/0033-2909.110.1.86 · Cited by 2,259 · see citing works
Affordance, conventions, and design
Norman, D. A. (1999) · Interactions · doi:10.1145/301153.301168 · Cited by 2,040 · see citing works
A Longitudinal Study of Herd Behavior in the Adoption and Continued Use of Technology1
Sun, H. (2013) · MIS Quarterly · doi:10.25300/misq/2013/37.4.02 · Cited by 375 · see citing works
A theory of social media dependence: Evidence from microblog users
Wang, C., Lee, M. K. O., & Hua, Z. (2015) · Decision Support Systems · doi:10.1016/j.dss.2014.11.002 · Cited by 247 · see citing works
Discriminating factors between completers of and dropouts from online learning courses
Lee, Y., Choi, J., & Kim, T. (2013) · British Journal of Educational Technology · doi:10.1111/j.1467-8535.2012.01306.x · Cited by 206 · see citing works
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Almulla, M. A., & Al-Rahmi, W. M. (2023) · Sustainability · doi:10.3390/su15053978 · Cited by 130 · see citing works
DeepLMS: a deep learning predictive model for supporting online learning in the Covid-19 era
Dias, S. B., Hadjileontiadou, S. J., Diniz, J., & Hadjileontiadis, L. J. (2020) · Scientific Reports · doi:10.1038/s41598-020-76740-9 · Cited by 115 · see citing works
Guoyan, S., Khaskheli, A., Raza, S. A., Khan, K. A., & Hakim, F. (2023) · Interactive Learning Environments · doi:10.1080/10494820.2021.1978503 · Cited by 69 · see citing works
Money, W. H., & Dean, B. P. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.03.013 · Cited by 53 · see citing works
Walker, E. R., Lang, D. L., Alperin, M., Vu, M., Barry, C. M., & Gaydos, L. M. (2021) · Pedagogy in Health Promotion · doi:10.1177/2373379920963660 · Cited by 36 · see citing works
Smart Speakers for Health and Well-Being of Older Adults: A Mixed-Methods Review
Dino, M. J., Leinbach, C., Dino, G., Thiamwong, L., Villafuerte, C. M., Shattell, M., Pimentel, J., Zamora, M. A., Bautista, A., Vitug, J. P., et al. (2025) · Healthcare · doi:10.3390/healthcare13212772 · Cited by 5 · see citing works
Xu, W., Zhu, K., Zhou, D., Wang, C., & Wen, C. (2025) · Education Sciences · doi:10.3390/educsci15070828 · Cited by 4 · see citing works
Student experience using synchronous and asynchronous instruction in mathematics classes
Mohammad, N. M., Nica, M., Kraus, D., Levere, K. M., & Okner, R. (2024) · Pedagogical Research · doi:10.29333/pr/14244 · Cited by 1 · see citing works
“Asynchronous delivery has the ability to reach a greater number of students at the same time, while maintaining uniformity of content (Panigrahi et al., 2018).”
Background
- Authors
- Panigrahi, R., Srivastava, P. R., & Sharma, D.
- Affiliations
- Indian Institute of Management Rohtak (IN)
- Corresponding author
- Panigrahi, Ritanjali
- Venue
- International Journal of Information Management
- Publisher
- Elsevier BV
- Published
- 2018-12
- Volume
- 43
- Pages
- 1-14
- ISSN
- 0268-4012 (ISSN-L)
- OpenAlex
- W2806906271
- Cited by
- 607
- References
- 13
- Citations by year
- 2026: 22 · 2025: 42 · 2024: 85 · 2023: 112 · 2022: 135 · 2021: 120 · 2020: 63 · 2019: 25 · 2018: 2 · 2017: 1
- FWCI
- 170.25
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Information Management (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Education › Online and Blended Learning
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Keywords
- online learning, technology adoption, continuance intention, learning outcomes, student retention, online communities, student engagement, feedback mechanisms, mobile learning, cloud services
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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.
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