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Unveiling the dark side of social networking sites: Personal and work-related consequences of social networking site addiction
Abstract
Although previous research has explored the effects of social networking site (SNS) use in organizations, researchers have focused little on its negative consequences. This article attempts to fill this void by examining, through the lens of social cognitive theory, the extent SNS addiction impacts personal and work environments . The results, based on 276 questionnaires completed by employees in a large information technology corporation, show that addiction to SNSs has negative consequences on the personal and work environments . SNS addiction reduces positive emotions that augment performance and enhance health. SNS addiction fosters task distraction, which inhibits performance. Theoretical and practical implications are discussed.
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“Moreover, the measurement model fit and quality indices were [average path coefficient (APC)= 0.281 , p<0.001; average R-squared (ARS)= 0.802 , p<0.001; average adjusted R-squared= 0.800 , p<0.001; average full collinearity VIF (AFVIF)= 3.047 , acceptable if ≤0.5, ideally ≤3.3; Tenenhaus GoF= 0.604 , small≤0.1, medium ≥0.25, large ≥0.36]. Hence, these statistical results suggest that the”
From Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations (2020) · cites this paper as Moqbel and Kock, 2018
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Metadata
- Authors
- Moqbel, M., & Kock, N.
- Affiliations
- University of Kansas Medical Center (US)
- Texas A&M International University (US)
- Corresponding author
- Moqbel, Murad
- Venue
- Information & Management
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 55
- Issue
- 1
- Pages
- 109-119
- ISSN
- 0378-7206 (ISSN-L)
- OpenAlex
- W2611775277
- Cited by
- 269
- References
- 125
- Citations by year
- 2026: 18 · 2025: 16 · 2024: 38 · 2023: 41 · 2022: 45 · 2021: 36 · 2020: 33 · 2019: 31 · 2018: 10
- FWCI
- 53.33
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Information & Management (publishedVersion)
- ScholarWorks @ UTRGV (The University of Texas Rio Grande Valley) (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Cyberloafing and Workplace Behavior
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Decision Sciences › Information Systems and Management › Personal Information Management and User Behavior
- Keywords
- social networking sites, personal consequences, social cognitive theory, employee performance, positive emotions, employee health, information technology employees
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 ›
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