The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.
Exploring the influence of excessive social media use at work: A three-dimension usage perspective
Abstract
Abstract Pervasive social media has resulted in technology dependency and excessive usage, which can lead to negative outcomes in organizations. This paper aims to investigate the effects of social media’s different excessive usage patterns on employee job performance and the corresponding underlying mechanism. Specifically, we propose three dimensions of excessive social media use at work (i.e., excessive social, hedonic, and cognitive). These dimensions are related to technology-work conflict and strain, which in turn decrease employee job performance. An empirical study of 305 social media users in organizations reveals that excessive social media use for socialization and entertainment can generate conflict between technology use and work demand, whereas excessive social media use for information-sharing reduces employees’ psychological strain. In addition, technology-work conflict and strain negatively influence job performance. The theoretical and practical implications of this study are also discussed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.51.6.1173 · Cited by 91,532
Pls-Sem: indeed a silver bullet
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011) · Journal of Marketing Theory and Practice · doi:10.2753/mtp1069-6679190202 · Cited by 21,631
Hobfoll, S. E. (2001) · Applied Psychology · doi:10.1111/1464-0597.00062 · Cited by 7,139
Assessing construct validity in organizational research
Bagozzi, R. P., Yi, Y., & Phillips, L. W. (1991) · Administrative Science Quarterly · doi:10.2307/2393203 · Cited by 6,621
Liang, H., Saraf, N., Hu, Q., & Xue, Y. (2007) · MIS Quarterly · doi:10.2307/25148781 · Cited by 3,921
Lepine, J. A., Podsakoff, N. P., & Lepine, M. A. (2005) · Academy of Management Journal · doi:10.5465/amj.2005.18803921 · Cited by 2,438
Addiction motivation reformulated: an affective processing model of negative reinforcement
Baker, T. B., Piper, M. E., McCarthy, D. E., Majeskie, M. R., & Fiore, M. C. (2004) · Psychological Review · doi:10.1037/0033-295x.111.1.33 · Cited by 2,162
Ragu-Nathan, T. S., Tarafdar, M., Ragu-Nathan, B. S., & Tu, Q. (2008) · Information Systems Research · doi:10.1287/isre.1070.0165 · Cited by 2,060
Technostress: Technological Antecedents and Implications1
Ayyagari, R., Grover, V., & Purvis, R. (2011) · MIS Quarterly · doi:10.2307/41409963 · Cited by 2,056
Cited by
Guo, Y., Lu, Z., Kuang, H., & Wang, C. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102067 · Cited by 283
Exploring the mechanism of social media addiction: an empirical study from WeChat users
Cao, X., Gong, M., Yu, L., & Dai, B. (2020) · Internet Research · doi:10.1108/intr-08-2019-0347 · Cited by 158
Self-citationSaleem, S., Feng, Y., & Luqman, A. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101584 · Cited by 63
An, H., Gu, X., Obrenovic, B., & Godinic, D. (2023) · Psychology Research and Behavior Management · doi:10.2147/prbm.s416100 · Cited by 59
Mundel, J., Wan, A., & Yang, J. (2024) · Journal of Marketing Communications · doi:10.1080/13527266.2023.2183426 · Cited by 42
Metadata
- Authors
- Cao, X., & Yu, L.
- Venue
- International Journal of Information Management
- Publisher
- Elsevier BV
- Published
- 2019-06
- Volume
- 46
- Pages
- 83-92
- ISSN
- 0268-4012 (ISSN-L)
- OpenAlex
- W2904466654
- Cited by
- 266
- References
- 78
- FWCI
- 37.69
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Exploring the influence of excessive social media use at work: A three-dimension usage perspective. https://app.cochat.ai/papers/10.1016/j.ijinfomgt.2018.11.019
- The paper
- Cao, X., & Yu, L. (2019). Exploring the influence of excessive social media use at work: A three-dimension usage perspective. International Journal of Information Management. https://doi.org/10.1016/j.ijinfomgt.2018.11.019
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.
