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The impact of type of content use on smartphone addiction and academic performance: Physical activity as moderator
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In the citing paper
“Abbasi et al., 2021, demonstrated that exercise reduced smartphone addiction—a known academic distraction”
From Anxiety, Academic Performance, and Physical Activity in University Students: A Scoping Review (2025) · cites this paper as Abbasi et al., 2021
In the citing paper
“while others found no significant effects (Abbasi et al., 2021; Alaaddin et al., 2021; Brambila-Tapia et al., 2022; Chacon-Cuberos et al., 2019; Jamil et al., 2022; Zamri & Raman, 2020)”
From Anxiety, Academic Performance, and Physical Activity in University Students: A Scoping Review (2025) · cites this paper as Abbasi et al., 2021
In the citing paper
“Studies have also reported that mobile phone addiction negatively affects college students’ academic performance and mental health [7,8].”
From COVID-19 Victimization Experience and College Students’ Mobile Phone Addiction: A Moderated Mediation Effect of Future Anxiety and Mindfulness (2022) · cites this paper as [7]
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
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
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
A new criterion for assessing discriminant validity in variance-based structural equation modeling
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-014-0403-8 · Cited by 38,459
When to Use and How to Report the Results of PLS-SEM
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019) · European Business Review · doi:10.1108/ebr-11-2018-0203 · Cited by 27,541
(1998) · Cited by 12,725
Diagnostic and Statistical Manual of Mental Disorders(DSM)
Leong, F. T. L. (2008) · Sage eBooks · doi:10.4135/9781412963978.n182 · Cited by 10,861
Common methods variance detection in business research
Fuller, C. M., Simmering, M. J., Atinc, G., Atinc, Y., & Babin, B. J. (2016) · Journal of Business Research · doi:10.1016/j.jbusres.2015.12.008 · Cited by 3,519
Partial least squares structural equation modeling
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2017) · Handbook of Market Research · doi:10.1007/978-3-319-05542-8_15-1 · Cited by 3,285
Minimum sample size estimation in PLS‐SEM: The inverse square root and gamma‐exponential methods
Kock, N., & Hadaya, P. (2018) · Information Systems Journal · doi:10.1111/isj.12131 · Cited by 2,621
The Smartphone addiction scale: development and validation of a short version for adolescents
Kwon, M., Kim, D.-J., Cho, H., & Yang, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0083558 · Cited by 2,177
The uses of mass communications : current perspectives on gratifications research
Katz, E., & Blumler, J. G. (1975) · Medical Entomology and Zoology · Cited by 2,111
Estimation issues with PLS and CBSEM: Where the bias lies!
Sarstedt, M., Hair, J. F., Ringle, C. M., Thiele, K. O., & Gudergan, S. P. (2016) · Journal of Business Research · doi:10.1016/j.jbusres.2016.06.007 · Cited by 1,991
Galit Shmueli, A., Ray, S., Estrada, J. M. V., & Chatla, S. B. (2015) · Journal of Business Research · doi:10.1016/j.jbusres.2016.03.049 · Cited by 1,904
Facebook and academic performance
Kirschner, P. A., & Karpinski, A. C. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.03.024 · Cited by 1,578
Relationships among smartphone addiction, stress, academic performance, and satisfaction with life
Samaha, M., & Hawi, N. S. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.12.045 · Cited by 1,246
The dark side of smartphone usage: Psychological traits, compulsive behavior and technostress
Lee, Y., Chang, C., Lin, Y., & Cheng, Z. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.10.047 · Cited by 1,115
Modeling habitual and addictive smartphone behavior
van Deursen, A. J. A. M., Bolle, C. L., Hegner, S. M., & Kommers, P. A. M. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2014.12.039 · Cited by 1,031
Elhai, J. D., Levine, J. C., Dvorak, R. D., & Hall, B. J. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.05.079 · Cited by 1,020
Smartphone use and smartphone addiction among young people in Switzerland
Haug, S., Castro, R. P., Kwon, M., Filler, A., Kowatsch, T., & Schaub, M. P. (2015) · Journal of Behavioral Addictions · doi:10.1556/2006.4.2015.037 · Cited by 903
Junco, R. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2011.08.026 · Cited by 843
The invisible addiction: Cell-phone activities and addiction among male and female college students
Roberts, J., Yaya, L., & Manolis, C. (2014) · Journal of Behavioral Addictions · doi:10.1556/jba.3.2014.015 · Cited by 711
Rigdon, E. E. (2016) · European Management Journal · doi:10.1016/j.emj.2016.05.006 · Cited by 653
The effect of video game violence on physiological desensitization to real-life violence
Carnagey, N. L., Anderson, C. A., & Bushman, B. J. (2006) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2006.05.003 · Cited by 641
(2017) · Springer eBooks · doi:10.1007/978-3-319-05542-8 · Cited by 641
The relationship between Facebook and the well-being of undergraduate college students
Kalpidou, M., Costin, D., & Morris, J. (2011) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2010.0061 · Cited by 619
Cha, S.-S., & Seo, B.-K. (2018) · Health Psychology Open · doi:10.1177/2055102918755046 · Cited by 592
Internet addiction in students: Prevalence and risk factors
Kuss, D. J., Griffiths, M. D., & Binder, J. F. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2012.12.024 · Cited by 540
What type of content are smartphone users addicted to?: SNS vs. games
Jeong, S.-H., Kim, H., Yum, J.-Y., & Hwang, Y. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.07.035 · Cited by 500
Young people's use of online social networking sites – a uses and gratifications perspective
Dunne, Á., Lawlor, M., & Rowley, J. (2010) · Journal of Research in Interactive Marketing · doi:10.1108/17505931011033551 · Cited by 498
Low self-control and imprudent behavior
Arneklev, B. J., Grasmick, H. G., Tittle, C. R., & Bursik, R. J. (1993) · Journal of Quantitative Criminology · doi:10.1007/bf01064461 · Cited by 469
A Critical Examination of Common Beliefs About Partial Least Squares Path Modeling
Rönkkö, M., & Evermann, J. (2013) · Organizational Research Methods · doi:10.1177/1094428112474693 · Cited by 465
Epidemiology of Internet Behaviors and Addiction Among Adolescents in Six Asian Countries
Mak, K.-K., Lai, C.-M., Watanabe, H., Kim, D.-I., Bahar, N., Ramos, M. S., Young, K., Ho, R. C. M., Aum, N.-R., & Cheng, C. (2014) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2014.0139 · Cited by 456
Smartphone addiction and its relationship with social anxiety and loneliness
Enez Darcin, A., Kose, S., Noyan, C. O., Nurmedov, S., Yılmaz, O., & Dilbaz, N. (2016) · Behaviour & Information Technology · doi:10.1080/0144929x.2016.1158319 · Cited by 447
Exploratory and Confirmatory Factor Analysis
(2012) · Routledge eBooks · doi:10.4324/9780203843130-15 · Cited by 442
Uses and Gratifications of digital photo sharing on Facebook
Malik, A., Dhir, A., & Nieminen, M. (2016) · Telematics and Informatics · doi:10.1016/j.tele.2015.06.009 · Cited by 433
Beyond self-report: tools to compare estimated and real-world smartphone use
Andrews, S., Ellis, D. A., Shaw, H., & Piwek, L. (2015) · PLOS ONE · doi:10.1371/journal.pone.0139004 · Cited by 408
Brown, H. E., Atkin, A. J., Panter, J., Wong, G., Chinapaw, M. J. M., & van Sluijs, E. M. F. (2016) · Obesity Reviews · doi:10.1111/obr.12362 · Cited by 404
Prevalence of problematic mobile phone use in British adolescents.
Lopez-Fernandez, O., Honrubia-Serrano, L., Freixa-Blanxart, M., & Gibson, W. (2014) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2012.0260 · Cited by 371
Partial least squares path modeling: Time for some serious second thoughts
Rönkkö, M., McIntosh, C. N., Antonakis, J., & Edwards, J. R. (2016) · Journal of Operations Management · doi:10.1016/j.jom.2016.05.002 · Cited by 328
Kim, S.-E., Kim, J.-W., & Jee, Y.-S. (2015) · Journal of Behavioral Addictions · doi:10.1556/2006.4.2015.028 · Cited by 322
Student class standing, Facebook use, and academic performance
Reynol Junco, A. (2015) · Journal of Applied Developmental Psychology · doi:10.1016/j.appdev.2014.11.001 · Cited by 321
Problematic smartphone usage and subjective and psychological well-being
Horwood, S., & Anglim, J. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.02.028 · Cited by 320
The role of stress and motivation in problematic smartphone use among college students
Wang, J.-L., Wang, H.-Z., Gaskin, J., & Wang, L.-H. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.07.005 · Cited by 317
Smartphone addiction and associated consequences: Role of loneliness and self-regulation
Mahapatra, S. (2019) · Behaviour & Information Technology · doi:10.1080/0144929x.2018.1560499 · Cited by 261
Soror, A. A., Hammer, B. I., Steelman, Z. R., Davis, F. D., & Limayem, M. (2015) · Information Systems Journal · doi:10.1111/isj.12065 · Cited by 220
Salerno, E. A., Ehlers, D. K., Aguiñaga, S., Daugherty, A. M., Kramer, A. F., & McAuley, E. (2017) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2017.06.005 · Cited by 214
Relationships among smartphone addiction, anxiety, and family relations
Hawi, N. S., & Samaha, M. (2017) · Behaviour & Information Technology · doi:10.1080/0144929x.2017.1336254 · Cited by 190
Exploring the relationships between college students’ cell phone use, personality and leisure
Lepp, A., Li, J., Barkley, J. E., & Salehi-Esfahani, S. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2014.11.006 · Cited by 188
Chen, C., & Leung, L. W. (2015) · Telematics and Informatics · doi:10.1016/j.tele.2015.11.005 · Cited by 158
Internet addiction among adolescents in Lebanon
Hawi, N. S. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2012.01.007 · Cited by 152
Exploratory and Confi rmatory Factor Analysis
Kline, R. B. (2013) · doi:10.4324/9780203108550-13 · Cited by 150
Jackson, L. A., von Eye, A., Fitzgerald, H. E., Witt, E. A., & Zhao, Y. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2010.10.019 · Cited by 143
Wetzels, R., Raaijmakers, J. G. W., Jakab, E., & Wagenmakers, E.-J. (2009) · Psychonomic Bulletin & Review · doi:10.3758/pbr.16.4.752 · Cited by 143
Fu, S., Chen, X.-Y., & Zheng, H. (2020) · Behavior and Information Technology · doi:10.1080/0144929x.2020.1716848 · Cited by 140
Zhao, J., Kong, F., & Wang, Y. (2012) · Personality and Individual Differences · doi:10.1016/j.paid.2011.12.024 · Cited by 116
Towards a Cashless Society: The Imminent Role of Wearable Technology
Loh, X.-M., Lee, V., Tan, G. W., Hew, J.-J., & Ooi, K. (2019) · Journal of Computer Information Systems · doi:10.1080/08874417.2019.1688733 · Cited by 107
Mtega, W. P., Bernard, R., Msungu, A. C., & Sanare, R. (2012) · doi:10.20374/130 · Cited by 106
Ali, İ., Ali, M., Grigore, G. F., Molesworth, M., & Jin, Z. (2019) · Journal of Business Research · doi:10.1016/j.jbusres.2019.02.060 · Cited by 91
Measuring and forecasting mobile game app engagement
Rutz, O. J., Aravindakshan, A., & Rubel, O. (2019) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2019.01.002 · Cited by 76
Insufficient sleep reduces voting and other prosocial behaviours
Holbein, J. B., Schafer, J. P., & Dickinson, D. L. (2019) · Nature Human Behaviour · doi:10.1038/s41562-019-0543-4 · Cited by 66
Adolescents’ smartphone use at night, sleep disturbance and depressive symptoms
Dewi, R. K., Efendi, F., Has, E. M. M., & Gunawan, J. (2018) · International Journal of Adolescent Medicine and Health · doi:10.1515/ijamh-2018-0095 · Cited by 63
Lin, T. T. C., & Chiang, Y. H. (2017) · International Journal of Mobile Communications · doi:10.1504/ijmc.2017.086881 · Cited by 57
Interactions between stress and physical activity on Alzheimer's disease pathology
Yuede, C. M., Timson, B. F., Hettinger, J. C., Yuede, K. M., Edwards, H. M., Lawson, J. E., Zimmerman, S., & Cirrito, J. R. (2018) · Neurobiology of Stress · doi:10.1016/j.ynstr.2018.02.004 · Cited by 38
Lee, M. Y., & Kim, K. H. (2012) · Journal of Korean Academy of Nursing Administration · doi:10.11111/jkana.2012.18.2.166 · Cited by 34
The Effect of Self-Esteem and Depression on Smartphone Addiction among University Students
Yang, K.-M. (2016) · 한국융합학회논문지 · doi:10.15207/jkcs.2016.7.1.113 · Cited by 32
Abbasi, G. A., Su-Yee, S., & Goh, Y.-N. (2020) · International Journal of Interactive Mobile Technologies (iJIM) · doi:10.3991/ijim.v14i15.14955 · Cited by 20
Self-citation
Flagged first, then by citations
Research works printed but not linked: 2
- Kibona, 2015, Smartphones' effects on academic performance of higher learning students, J. Multidiscipl. Eng. Sci. Technol., 2, 777
- Norris, 2011, Using smartphones as essential tools for learning, Educ. Technol., 51, 18
Cited by
Sorted by citations
Abbasi, G. A., Tiew, L. Y., Tang, J., Goh, Y.-N., & Ramayah, T. (2021) · PLoS ONE · doi:10.1371/journal.pone.0247582 · Cited by 201
Self-citationAshaari, M. A., Singh, K. S. D., Abbasi, G. A., Amran, A., & Liebana-Cabanillas, F. J. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.121119 · Cited by 175
Self-citationAbbasi, G. A., Sandran, T., Ganesan, Y., & Iranmanesh, M. (2022) · Technology in Society · doi:10.1016/j.techsoc.2022.101937 · Cited by 166
Self-citationSánchez-Fernández, M., & Mas, M. D. L. M. B. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-11437-2 · Cited by 131
Tülübaş, T., Karakose, T., & Papadakis, S. (2023) · European Journal of Investigation in Health, Psychology and Education · doi:10.3390/ejihpe13100143 · Cited by 90
Metadata
- Authors
- Abbasi, G. A., Jagaveeran, M., Goh, Y.-N., & Tariq, B.
- Affiliations
- Universiti Sains Malaysia (MY)
- Institute of Business Administration Karachi (PK)
- Corresponding author
- Abbasi, Ghazanfar A
- Goh, Yen-Nee
- Venue
- Technology in Society
- Publisher
- Elsevier BV
- Published
- 2021-02
- Volume
- 64
- Pages
- 101521
- ISSN
- 0160-791X (ISSN-L)
- OpenAlex
- W3120897159
- Cited by
- 182
- References
- 67
- Citations by year
- 2026: 26 · 2025: 31 · 2024: 40 · 2023: 35 · 2022: 37 · 2021: 13
- FWCI
- 39.73
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Technology in Society (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Education › Child Development and Digital Technology
- Keywords
- smartphone addiction, academic performance, physical activity, moderating effect, entertainment use, social networking sites, undergraduate students, young adults
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