Excessive SNS use at work, technological conflicts and employee performance: A social-cognitive-behavioral perspective
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SMSCF disrupts users' ability to achieve everyday personal goals such as quality sleep, study, or work performance.
“SMSCF disrupts users’ ability to achieve everyday personal goals such as quality sleep, study, or work performance [31]”
From Enjoyment or Indulgence? Social Media Service Usage, Social Gratification, Self-Control Failure and Emotional Health (2023) · cites this paper as [31]
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- Authors
- Saleem, S., Feng, Y., & Luqman, A.
- Affiliations
- University of Science and Technology of China (CN)
- Fatima Jinnah Women University (PK)
- ORCID
- Luqman, Adeel
- Venue
- Technology in Society
- Publisher
- Elsevier BV
- Published
- 2021-05
- Volume
- 65
- Pages
- 101584
- ISSN
- 0160-791X (ISSN-L)
- OpenAlex
- W3153837843
- Cited by
- 63
- References
- 94
- Citations by year
- 2026: 3 · 2025: 10 · 2024: 14 · 2023: 18 · 2022: 14 · 2021: 4
- FWCI
- 19.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Technology in Society (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Natural Science Foundation of China (71631006)
- Topics
- Social Sciences › Demography › Cyberloafing and Workplace Behavior
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- employee performance, task conflict, process conflict, relationship conflict, social cognitive theory, cognitive-behavioral model, social media in the workplace, Chinese employees
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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.
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