The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.
Social media overload, exhaustion, and use discontinuance: Examining the effects of information overload, system feature overload, and social overload
Open accessAbstract
Abstract While users’ discontinuance of use has posed a challenge for social media in recent years, there is a paucity of knowledge on the relationships between different dimensions of overload and how overload adversely affects users’ social media discontinuance behaviors. To address this knowledge gap, this study employed the stressor–strain–outcome (SSO) framework to explain social media discontinuance behaviors from an overload perspective. It also conceptualized social media overload as a multidimensional construct consisting of system feature overload, information overload, and social overload. The proposed research model was empirically validated via 412 valid questionnaire responses collected from Facebook users. Our results indicated that the three types of overload are interconnected through system feature overload. System feature overload, information overload, and social overload engender user exhaustion, which in turn leads to users’ discontinued usage of social media. This study extends current technostress research by demonstrating the value of the SSO perspective in explaining users’ social media discontinuance.
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Cites
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
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
Eysenck, H. J. (1985) · Behaviour Research and Therapy · doi:10.1016/0005-7967(85)90087-7 · Cited by 31,975
“Stress: appraisal and coping,”
Folkman, S. (2013) · Encyclopedia of Behavioral Medicine · doi:10.1007/978-1-4419-1005-9_215 · Cited by 27,833
(1979) · Medical Entomology and Zoology · Cited by 11,252
Applied Linear Statistical Models
Ziegel, E. R., Neter, J., Wasserman, W., & Kutner, M. (1992) · Technometrics · doi:10.2307/1269588 · Cited by 9,907
Applied Linear Statistical Models
(1997) · Technometrics · doi:10.1080/00401706.1997.10485141 · Cited by 7,185
Psychological stress and the coping process
Lazarus, R. S. (1966) · Medical Entomology and Zoology · Cited by 7,164
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
Neocortex size as a constraint on group size in primates
Dunbar, R. I. M. (1992) · Journal of Human Evolution · doi:10.1016/0047-2484(92)90081-j · Cited by 2,542
Cited by
Sheng, N., Yang, C., Han, L., & Jou, M. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107500 · Cited by 162
Habits and the electronic herd: the psychology behind social media’s successes and failures
Anderson, I. A., & Wood, W. (2021) · Consumer Psychology Review · doi:10.1002/arcp.1063 · Cited by 108
“Discontinuance intentions for social media sites also are tied to feelings of regret and being overloaded by contacts or features on a site (e.g., Fu et al., 2020; Wang et al., 2020).”
BackgroundMirbabaie, M., Stieglitz, S., & Marx, J. (2022) · Business & Information Systems Engineering · doi:10.1007/s12599-022-00747-x · Cited by 61
Graf, B., & Antoni, C. H. (2023) · European Journal of Work and Organizational Psychology · doi:10.1080/1359432x.2022.2118051 · Cited by 52
Li, Y., Gan, Z., & Zheng, B. (2025) · Information Systems Frontiers · doi:10.1007/s10796-023-10438-x · Cited by 47
Metadata
- Authors
- Fu, S., Li, H., Liu, Y., Pirkkalainen, H., & Salo, M.
- Venue
- Information Processing & Management
- Publisher
- Elsevier BV
- Published
- 2020-11
- Volume
- 57
- Issue
- 6
- Pages
- 102307
- ISSN
- 0020-0271 (ISSN-L)
- 0306-4573
- OpenAlex
- W3035947681
- Cited by
- 462
- References
- 70
- FWCI
- 50.76
- Type
- journal article
- Language
- en
- Open access
- green
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- Fu, S., Li, H., Liu, Y., Pirkkalainen, H., & Salo, M. (2020). Social media overload, exhaustion, and use discontinuance: Examining the effects of information overload, system feature overload, and social overload. Information Processing & Management. https://doi.org/10.1016/j.ipm.2020.102307
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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.
