The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.
Excessive use of mobile social networking sites and poor academic performance: Antecedents and consequences from stressor-strain-outcome perspective
Abstract
Abstract The problematic use of social networking sites (SNSs) and its adverse consequences have become prevalent, yet little is known about the etiology of the problematic use of SNSs and academic performance. This study applied stress–strain–outcome (SSO) as the foundation of the model, and the proposed model was further refined using auxiliary theories such as dual-system theory. The statistical analyses of time-lagged data collected from 505 mobile SNS users imply that the excessive use of mobile SNSs causes a cognitive–emotional preoccupation and that cognitive–behavioral control in using SNSs weakens this relationship to overcome negative outcomes. Negative consequences diminish the academic performance of SNS users. This study contributed to research on the dark side of information system use by conceptualizing problematic use and explaining its drivers and consequences. This research provided important theoretical and practical implications.
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Cites
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Cited by
Hwang, K., & Zhang, Q. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.05.029 · Cited by 639
Fu, S., Li, H., Liu, Y., Pirkkalainen, H., & Salo, M. (2020) · Information Processing & Management · doi:10.1016/j.ipm.2020.102307 · Cited by 462
Applying the SOBC paradigm to explain how social media overload affects academic performance
Whelan, E., Islam, A. K. M. N., & Brooks, S. (2020) · Computers & Education · doi:10.1016/j.compedu.2019.103692 · Cited by 236
ICT Use, Digital Skills and Students’ Academic Performance: Exploring the Digital Divide
Ben Youssef, A., Dahmani, M., & Ragni, L. (2022) · Information · doi:10.3390/info13030129 · Cited by 174
Foroughi, B., Griffiths, M. D., Iranmanesh, M., & Salamzadeh, Y. (2022) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-021-00510-5 · Cited by 133
Metadata
- Authors
- Cao, X., Masood, A., Luqman, A., & Ali, A.
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2018-08
- Volume
- 85
- Pages
- 163-174
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2794064506
- Cited by
- 257
- References
- 64
- FWCI
- 38.73
- Type
- journal article
- Language
- en
- Open access
- closed
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- Cao, X., Masood, A., Luqman, A., & Ali, A. (2018). Excessive use of mobile social networking sites and poor academic performance: Antecedents and consequences from stressor-strain-outcome perspective. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2018.03.023
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
