The benefits and dangers of enjoyment with social networking websites
Abstract
Information Systems enjoyment has been identified as a desirable phenomenon, because it can drive various aspects of system use. In this study, we argue that it can also be a key ingredient in the formation of adverse outcomes, such as technology-related addictions, through the positive reinforcement it generates. We rely on several theoretical mechanisms and, consistent with previous studies, suggest that enjoyment can lead to presumably positive outcomes, such as high engagement. Nevertheless, it can also facilitate the development of a strong habit and reinforce it until it becomes a ‘bad habit’, that can help forming a strong pathological and maladaptive psychological dependency on the use of the IT artifact (i.e., technology addiction). We test and validate this dual effect of enjoyment, with a data set of 194 social networking website users analyzed with SEM techniques. The potential duality of MIS constructs and other implications for research and practice are discussed.
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According to the cognitive-behavioral model, excessive social networking is the consequence of maladaptive cognitions and is exacerbated through a number of external issues, resulting in addictive use.
“According to the cognitive-behavioral model, excessive social networking is the consequence of maladaptive cognitions and is exacerbated through a number of external issues, resulting in addictive use.”
From Social networking sites and addiction: Ten lessons learned (2017) · cites this paper as [51]
The social skill model suggests individuals use SNSs excessively as a consequence of low self-presentation skills and preference for online social interaction over face-to-face communication, resulting in addictive SNS use.
“The social skill model suggests individuals use SNSs excessively as a consequence of low self-presentation skills and preference for online social interaction over face-to-face communication, resulting in addictive SNS use [51].”
From Social networking sites and addiction: Ten lessons learned (2017) · cites this paper as [51]
With respect to the socio-cognitive model, excessive social networking develops as a consequence of positive outcome expectations, Internet self-efficacy, and limited Internet self-regulation, leading to addictive SNS use.
“With respect to the socio-cognitive model, excessive social networking develops as a consequence of positive outcome expectations, Internet self-efficacy, and limited Internet self-regulation, leading to addictive SNS use [51].”
From Social networking sites and addiction: Ten lessons learned (2017) · cites this paper as [51]
There are a number of models which offer explanations as to the development of SNS addiction.
“There are a numbers of models which offer explanations as to the development of SNS addiction [51].”
From Social networking sites and addiction: Ten lessons learned (2017) · cites this paper as [51]
In 194 SNS users, no relationship was found between gender and SNS dependence.
“Similarly, another study assessing SNS dependence in 194 SNS users did not find a relationship between gender and SNS dependence [51].”
From Social networking sites and addiction: Ten lessons learned (2017) · cites this paper as [51]
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“Although not formally recognized as a psychiatric or psychological disorder (e.g., in the Diagnostic and Statistical Manual of Mental Disorders-5 ), addiction to social media is increasingly a concern in the popular dependency (e.g., Turel & Serenko, 2012).”
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“Social Media Addiction, encompassing variants like Facebook addiction and general addictive use of social networking sites (SNSs), is characterized as a maladaptive psychological dependency on SNSs, leading to behavioral addiction symptoms [15– 17].”
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Adicción a las redes sociales y soledad en estudiantes universitarios limeños
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- Authors
- Turel, O., & Serenko, A.
- Affiliations
- California State University, Fullerton (US)
- Lakehead University (CA)
- Corresponding author
- Turel, Ofir
- Venue
- European Journal of Information Systems
- Publisher
- Informa UK Limited
- Published
- 2012-09
- Volume
- 21
- Issue
- 5
- Pages
- 512-528
- ISSN
- 0960-085X (ISSN-L)
- 1476-9344
- OpenAlex
- W2165104234
- Cited by
- 684
- References
- 135
- Citations by year
- 2026: 47 · 2025: 38 · 2024: 54 · 2023: 65 · 2022: 75 · 2021: 60 · 2020: 65 · 2019: 68 · 2018: 49 · 2017: 47 · 2016: 30 · 2015: 37 · 2014: 29 · 2013: 19 · 2012: 1
- FWCI
- 56.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- European Journal of Information Systems (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- enjoyment, social networking websites, technology addiction, positive reinforcement, user engagement, habit formation, psychological dependence, maladaptive behavior
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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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