Are mindful people less involved in online trolling? A moderated mediation model of perceived social media fatigue and moral disengagement

2021 ◽  
Author(s):  
Biyun Wu ◽  
Fang Li ◽  
Li Zhou ◽  
Mingfan Liu ◽  
Fulei Geng
Keyword(s):  
Social Media ◽  
Moral Disengagement ◽  
Moderated Mediation ◽  
Mediation Model ◽  
Moderated Mediation Model

Why victimized by peers promotes cyberbullying in college students? Testing a moderated mediation model in a three-wave longitudinal study

2020 ◽  
Author(s):  
Ming-Chen Zhang ◽  
Lin-Xin Wang ◽  
Kai Dou ◽  
Yue Liang
Keyword(s):  
College Students ◽  
Longitudinal Study ◽  
Peer Victimization ◽  
Moral Disengagement ◽  
Moderated Mediation ◽  
Mediation Model ◽  
Online Bullying ◽  
Chinese College Students ◽  
Moderated Mediation Model ◽  
High Level

Cyberbullying is a major youth social problem over the world and it has been associated with a variety of negative outcomes. However, few studies investigated how offline peer victimization affect cyberbullying and the potential relations between family factors and cyberbullying remains unknown. The current study addresses this gap in knowledge by examining the victimized by peers is associated with higher moral disengagement which further promotes college student’s bullying online. A three-wave longitudinal study, each wave spanning six months apart, was conducted in a sample of 521 Chinese college students (Mage = 22.45, SD = 4.44, 59.3% girls). Results of moderated mediation model shown that peer victimization at T1 predicted more cyberbullying at T3 through moral disengagement at T2, after controlling for demographic variables and cyberbullying at T1. T2 moral disengagement significantly mediating the association between T1 peer victimization and T3 cyberbullying. In addition, high level of negative parenting strengthened the effect of moral disengagement at T2 on cyberbullying at T3. The prevention and intervention for both offline and online bullying victimization are discussed.

scholarly journals Improving Employee Agility Using Enterprise Social Media and Digital Fluency: Moderated Mediation Model

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 68799-68810 ◽  
Author(s):  
Chu Wei ◽  
Abdul Hameed Pitafi ◽  
Shamsa Kanwal ◽  
Ahsan Ali ◽  
Minglun Ren
Keyword(s):  
Social Media ◽  
Moderated Mediation ◽  
Mediation Model ◽  
Enterprise Social Media ◽  
Moderated Mediation Model ◽  
Digital Fluency

scholarly journals The Relationship Between Fear of COVID-19 and Online Aggressive Behavior: A Moderated Mediation Model

2021 ◽  
Vol 12 ◽  
Author(s):  
Baojuan Ye ◽  
Yadi Zeng ◽  
Hohjin Im ◽  
Mingfan Liu ◽  
Xinqiang Wang ◽  
...  
Keyword(s):  
College Students ◽  
Aggressive Behavior ◽  
Moral Disengagement ◽  
Family Cohesion ◽  
Moderated Mediation ◽  
Mediation Model ◽  
Online Behavior ◽  
Chinese College Students ◽  
Moderated Mediation Model ◽  
The Relationship

Amid the COVID-19 pandemic, fear has run rampant across the globe. To curb the spread of the virus, several governments have taken measures to drastically transition businesses, work, and schooling to virtual settings. While such transitions are warranted and well-intended, these measures may come with unforeseen consequences. Namely, one’s fear of COVID-19 may more readily manifest as aggressive behaviors in an otherwise incognito virtual social ecology. In the current research, a moderated mediation model examined the mechanisms underlying the relation between fear of COVID-19 and overt and relational aggressive online behavior among Chinese college students. Utilizing a large sample of Chinese college students (N = 2,799), results indicated that moral disengagement mediated the effect of fear of COVID-19 on college students’ overt and relational online aggressive behavior. A positive family cohesion buffered the effect of moral disengagement on relational aggressive behavior, but only for females. The findings, theoretical contributions, and practical implications of the present paper are also discussed.

scholarly journals A Biopsychosocial Perspective of User-Generated Innovation in Open Innovation Models: A Moderated-Mediation Analysis

2021 ◽  
Vol 7 (2) ◽  
pp. 131
Author(s):  
Tahseen Arshi ◽  
Venkoba Rao ◽  
Kamal Qazi ◽  
Vazeerjan Begum ◽  
Mansoor ALSabahi ◽  
...  
Keyword(s):  
Social Media ◽  
Open Innovation ◽  
Moderated Mediation ◽  
Control Group ◽  
Exploratory Research ◽  
Mediation Model ◽  
Moderated Mediation Model ◽  
Proxy Measure ◽  
Social Media Platforms ◽  
Self Reporting Questionnaire

User-generated innovation has contributed to the growth of the democratization of open-innovation models. One of the most common forms of user-generated innovation is evident on social media platforms. The purpose of this study is to investigate nonpecuniary motivations that drive innovation among user innovators on social media platforms. Furthermore, the study examines the underlying sociopsychological and biological dispositions that influence nonpecuniary motivation. The experimental and control group consisted of 204 user innovators on different social media platforms who filled out a self-reporting questionnaire in this exploratory research design. The study assessed endocrinal biomarkers through a proxy measure of 2D:4D ratio associated with behavioral, emotional, and social behavior. It developed a moderated-mediation model evaluating the indirect conditional relationships through a regression-based analysis with bootstrapped estimations. The findings support the moderated-mediation model, indicating that nonpecuniary motivation primarily explains user innovator behavior. Hedonic emotions, characterized by aesthetics, experiential enjoyment, and satisfaction-related feelings, mediate this relationship. A critical finding of the study is that endocrinal testosterone moderates this mediated relationship. This study is the first to apply a biopsychosocial lens to examine motivational drives influencing user-generated innovation using a moderated-mediation model. It contributes to understanding user innovators’ tricky motivational purposes, emphasizing the role of human agency in advancing the open-innovation agenda.

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