Modelling smartphone addiction: The role of smartphone usage, self-regulation, general self-efficacy and cyberloafing in university students
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The failure to self-regulate increases the risk of addictive smartphone behavior.
“The failure to self-regulate increases the risk of addictive smartphone behavior.34”
From An Intervention Utilizing the Salience Principle to Reduce Pharmacy Students’ Psychological Attraction to Smartphones (2022) · cites this paper as [34]
Studies on the addictive consequences of the old mobile phone, the current smartphone, and the Internet are cross-sectional, and therefore the temporal evolution of their addictive impact on the population is still unknown.
“However, studies on the addictive consequences of both the ‘old’ mobile phone [9,33,34,35,36], the current smartphone [22,24,37,38,39,40], and the Internet are cross-sectional, and therefore the temporal evolution of their addictive impact on the population is still unknown.”
From Problematic Use of the Internet and Smartphones in University Students: 2006–2017 (2018) · cites this paper as [38]
Women are more vulnerable to this type of problem because it is related to communication practices such as establishing and actively maintaining relationships, which women engage in more than men.
“Another possible explanation is that women are more vulnerable to this type of problem because it is related to communication practices such as establishing and actively maintaining relationships, which women engage in more than men [38,40].”
From Problematic Use of the Internet and Smartphones in University Students: 2006–2017 (2018) · cites this paper as [38]
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Ahmed, R. R., Salman, F., Malik, S. A., Streimikiene, D., Soomro, R. H., & Pahi, M. H. (2020) · Sustainability · doi:10.3390/su12010439 · Cited by 67 · see citing works
Fatima, S., Ali, M., & Saad, M. I. (2022) · Journal of Applied Research in Higher Education · doi:10.1108/jarhe-07-2020-0209 · Cited by 24 · see citing works
Myers, E., Drees, E. T., & Cain, J. (2022) · American Journal of Pharmaceutical Education · doi:10.5688/ajpe8717 · Cited by 14 · see citing works
Wang, Y., Lu, Y., Tian, X., Liu, Y., & Ma, W. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e25060 · Cited by 10 · see citing works
- Authors
- Gökçearslan, Ş., Mumcu, F. K., Haşlaman, T., & Çevik, Y. D.
- Affiliations
- Gazi University (TR)
- Türkiye Büyük Millet Meclisi (TR)
- TED University (TR)
- Hacettepe University (TR)
- Corresponding author
- Gökçearslan, Şahin
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2016-10
- Volume
- 63
- Pages
- 639-649
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2416219446
- Cited by
- 424
- References
- 107
- Citations by year
- 2026: 33 · 2025: 50 · 2024: 43 · 2023: 51 · 2022: 54 · 2021: 60 · 2020: 62 · 2019: 30 · 2018: 30 · 2017: 8 · 2016: 2
- FWCI
- 60.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers in Human Behavior (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Demography › Cyberloafing and Workplace Behavior
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- smartphone addiction, smartphone usage duration, self-regulation, general self-efficacy, cyberloafing, university students
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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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