Acceptance of mobile phone by university students for their studies: an investigation applying UTAUT2 model
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Hedonic motivation has been found to have a significant influence on user trust and behavioral intention in various contexts, including mobile payments, smartphones, e-health applications, e-banking, and e-commerce platforms.
“Hedonic motivation, which refers to the pleasure or enjoyment derived from using technology, has been found to have a significant influence on user trust and behavioral intention in various contexts, including mobile payments, smartphones, e-health applications, e-banking, and e-commerce platforms [1,33,39,49-53].”
Cited by
Sorted by citations
Strzelecki, A. (2024) · Interactive Learning Environments · doi:10.1080/10494820.2023.2209881 · Cited by 807 · see citing works
Strzelecki, A. (2024) · Innovative Higher Education · doi:10.1007/s10755-023-09686-1 · Cited by 477 · see citing works
“…that have demonstrated a notable and affirmative correlation between “Performance expectancy” and “Behavioral intention” in areas such as mobile learning (Arain et al., 2019), e-learning platforms (Azizi et al., 2020; Nikolopoulou et al., 2020), and learning management software (Raman & Don, 2013).”
Strzelecki, A., & ElArabawy, S. (2024) · British Journal of Educational Technology · doi:10.1111/bjet.13425 · Cited by 260 · see citing works
Alhwaiti, M. (2023) · Applied Artificial Intelligence · doi:10.1080/08839514.2023.2175110 · Cited by 105 · see citing works
Wijaya, T. T., Su, M., Cao, Y., Weinhandl, R., & Houghton, T. (2025) · Education and Information Technologies · doi:10.1007/s10639-024-12837-2 · Cited by 80 · see citing works
Dederichs, M., Nitsch, F. J., & Apolinário-Hagen, J. (2022) · JMIR Medical Education · doi:10.2196/32017 · Cited by 16 · see citing works
Dahmani, M., & Ben Youssef, A. (2023) · Platforms · doi:10.3390/platforms1010005 · Cited by 15 · see citing works
- Authors
- Nikolopoulou, K., Gialamas, V., & Lavidas, K.
- Affiliations
- National and Kapodistrian University of Athens (GR)
- University of Patras (GR)
- Venue
- Education and Information Technologies
- Published
- 2020-03-26
- Volume
- 25
- Issue
- 5
- Pages
- 4139-4155
- ISSN
- 1360-2357 (ISSN-L)
- 1573-7608
- OpenAlex
- W3013520841
- Cited by
- 205
- References
- 0
- Citations by year
- 2026: 28 · 2025: 35 · 2024: 41 · 2023: 45 · 2022: 30 · 2021: 20 · 2020: 6
- FWCI
- 25.06
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Education and Information Technologies (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
- Social Sciences › Gender Studies › Gender and Technology in Education
- Keywords
- university students, UTAUT2, behavioral intention, habit, performance expectancy, hedonic motivation, mobile learning, Greek students
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
