The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.
Antecedents and consequences of social media fatigue
Open accessAbstract
Abstract Prior literature suggests that social media users are increasingly experiencing social media fatigue. Only recently have scholars undertaken empirical studies to investigate its antecedents and outcomes to better understand the impact of fatigue on social media users. To further this understanding, the present study has conducted a cross-sectional survey with 1552 users. The Stress-Strain-Outcome (SSO) theoretical framework is applied to examine if privacy concerns, self-disclosure, parental mediation strategies, and decrement in academic performance due to social media use correlate with social media fatigue. Two forms of fatigue are considered, namely, fatigue due to social networking site (SNS) and mobile instant messaging (MIM) use. The study results suggest that privacy concerns, self-disclosure, parental encouragement and worry significantly and positively correlate with SNS and MIM fatigue. Parental permission and parental monitoring are either not or lowly associated with fatigue. In addition to this, SNS and MIM fatigue positively correlated with the tendency to experience academic decrement due to social media use. The antecedents and consequences of social media fatigue were similar for SNS and MIM users. Moreover, students perceived their parents to be more open to their MIM use, and they had higher self-disclosure in MIM than in SNS. The study concludes with significant implications for practitioners, policy makers as well as service designers.
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Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
Convergent and discriminant validation by the multitrait-multimethod matrix.
Campbell, D. T., & Fiske, D. W. (1959) · Psychological Bulletin · doi:10.1037/h0046016 · Cited by 17,116
Job Demands, Job Decision Latitude, and Mental Strain: Implications for Job Redesign
Karasek, R. A. (1979) · Administrative Science Quarterly · doi:10.2307/2392498 · Cited by 12,597
Constructing validity: Basic issues in objective scale development.
Clark, L. A., & Watson, D. (1995) · Psychological Assessment · doi:10.1037/1040-3590.7.3.309 · Cited by 6,567
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013) · Long Range Planning · doi:10.1016/j.lrp.2013.01.001 · Cited by 5,310
Socialization In The Context Of The Family: Parent-Child Interaction
Maccoby, E. E., & Martin, J. A. (1983) · Cited by 5,215
Parenting style as context: An integrative model.
Darling, N., & Steinberg, L. (1993) · Psychological Bulletin · doi:10.1037/0033-2909.113.3.487 · Cited by 4,313
The influence of parenting style on adolescent competence and substance use
Baumrind, D. (1991) · The Journal of Early Adolescence · doi:10.1177/0272431691111004 · Cited by 3,985
Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory
Fornell, C., & Bookstein, F. L. (1982) · Journal of Marketing Research · doi:10.2307/3151718 · Cited by 3,364
An Extended Privacy Calculus Model for E-Commerce Transactions
Dinev, T., & Hart, P. (2006) · Information Systems Research · doi:10.1287/isre.1060.0080 · Cited by 2,640
Cited by
Laato, S., Islam, A. K. M. N., Farooq, A., & Dhir, A. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102224 · Cited by 851
Self-citationIslam, A. K. M. N., Laato, S., Talukder, S., & Sutinen, E. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120201 · Cited by 538
Liu, H., Liu, W., Yoganathan, V., & Osburg, V.-S. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120600 · Cited by 372
Tandon, A., Dhir, A., Almugren, I., AlNemer, G. N., & Mäntymäki, M. (2021) · Internet Research · doi:10.1108/intr-11-2019-0455 · Cited by 315
Self-citationGuo, Y., Lu, Z., Kuang, H., & Wang, C. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102067 · Cited by 283
Metadata
- Authors
- Dhir, A., Kaur, P., Chen, S., & Pallesen, S.
- Venue
- International Journal of Information Management
- Publisher
- Elsevier BV
- Published
- 2019-10
- Volume
- 48
- Pages
- 193-202
- ISSN
- 0268-4012 (ISSN-L)
- OpenAlex
- W2953609568
- Cited by
- 282
- References
- 90
- FWCI
- 61.09
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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