The DOI matches its Crossref record; 57 of the 59 references it cites were found in a registry or an index.
Predicting behavioral intention to use e-learning system: A case-study in Begum Rokeya University, Rangpur, Bangladesh
Open accessAbstract
Digital transformation and emerging technologies open a horizon to a new method of teaching and learning and revolutionizes the e-learning industry. The goal of this study is to scrutinize a proposed research model for predicting factors that influence student's behavioral intention to use e-learning system at Begum Rokeya University, Bangladesh. The study used quantitative approach and developed a research model based on several technological acceptance models. In order to test the model, a survey was conducted to obtain data from 262 university students. SEM-PLS, a multivariate statistical analysis technique, was used to analyze the responses to examine the model, factors, structural relationships, and hypotheses. The result shows that 'perceived usefulness' and 'perceived ease of use' positively and significantly influenced by 'perceived enjoyment'. Furthermore, 'perceived usefulness', 'perceived ease of use' and 'facilitating condition' have a significant impact to predict behavioral intention to use e-learning. The results of mediation analysis show that 'perceived usefulness' and 'perceived ease of use' have mediating effects between the predictors and the outcome. Finally, 'facilitating condition' have a remarkable moderating effect to predict the student's behavioral intention in using e-learning. The findings have a noteworthy empirical implication for educational institutions to introduce e-learning system as one of the teaching and learning tools.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“This is a significant theoretical advance over earlier ISSM and TTF investigations, which did not examine the impact of perceived usability, perceived usefulness, system use, and task-technology fit on the applied ethical aim [85,107,108].”
From Acceptance of e-learning in higher education: the role of task-technology fit with the information systems success model (2023) · cites this paper as [107]
In the citing paper
“Empirical research consistently demonstrates PU's direct positive influence on behavioral intention (BI).”
From From Perception to Practice: Artificial Intelligence as a Pathway to Enhancing Digital Literacy in Higher Education Teaching (2025) · cites this paper as [25]
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
Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.51.6.1173 · Cited by 91,532
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
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
(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
A 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
Research works printed but not linked: 1
- Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2018). Multivariate Data Analysis (8th ed.). Cengage Learning EMEA.
Cited by
Sorted by citations
Al-Adwan, A. S., Li, N., Al-Adwan, A., Abbasi, G. A., Albelbisi, N. A., & Habibi, A. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-11816-3 · Cited by 637
“It is claimed that PE significantly influences users’ intentions to adopt hedonic systems or technologies such as metaverse, as being ones which give users joy or pleasure (Humida et al., 2022; Van der Heijden, 2004 ).”
BackgroundXue, L., Rashid, A. M., & Ouyang, S. (2024) · SAGE Open · doi:10.1177/21582440241229570 · Cited by 465
Alyoussef, I. Y. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e13751 · Cited by 181
Shi, Y., Siddik, A. B., Masukujjaman, M., Zheng, G.-W., Hamayun, M., & Ibrahim, A. M. (2022) · Sustainability · doi:10.3390/su14116640 · Cited by 141
Qu, K., & Wu, X. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-12598-y · Cited by 164
Metadata
- Authors
- Humida, T., Al Mamun, M. H., & Keikhosrokiani, P.
- Affiliations
- Begum Rokeya University (BD)
- Universiti Sains Malaysia (MY)
- Corresponding author
- Humida, Thasnim
- Keikhosrokiani, Pantea
- Venue
- Education and Information Technologies
- Published
- 2021-08-14
- Volume
- 27
- Issue
- 2
- Pages
- 2241-2265
- ISSN
- 1360-2357 (ISSN-L)
- 1573-7608
- PMC
- PMC8364304
- OpenAlex
- W3195725675
- Cited by
- 133
- References
- 59
- Citations by year
- 2026: 15 · 2025: 35 · 2024: 37 · 2023: 28 · 2022: 17 · 2021: 1
- FWCI
- 17.70
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Education and Information Technologies (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Universiti Sains Malaysia (304/PKOMP/6315435)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Education › Technology-Enhanced Education Studies
- Social Sciences › Education › Online and Blended Learning
- Keywords
- e-learning adoption, behavioral intention, university students, perceived usefulness, perceived ease of use, perceived enjoyment, facilitating conditions, technology acceptance model, digitalization of education
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
