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This study aims to investigate the antecedents and outcomes of excessive use of personal social media at work. The prevalence of personal social media in the work environment can easily lead to excessive use and negative consequences. Understanding the predictive factors and negative consequences of employees' excessive use of personal social media at work is important to develop their appropriate use of social media and improve their job performance.

Based on dual-system theory and the person-environment fit model, this study develops a research model to examine the effect of habit and self-regulation on excessive use of personal social media at work and that of the outcomes of excessive use on employee job performance through strain. This study conducts a questionnaire survey on 408 employees to test the research model and hypotheses empirically.

Results suggest that the imbalance between habit and self-regulation drives excessive personal social media use of employees at work. Furthermore, excessive use of personal social media has a strong impact on employee strain, which can significantly decrease job performance.

First, this study considers excessive use of personal social media at work as a result of two different cognitive systems, that is, an automatic system and a controlled system, thereby extending the dual-system theory to explain excessive use of personal social media in the work context. Second, unlike previous studies that focused on the outcomes or explored the antecedents of excessive social media use at work respectively, the study employs the person-environment fit model and examines the systematic influence of excessive social media use at work from a broad perspective by linking its antecedents and outcomes.

The purpose of this paper is to explore the effects of excessive social media use on individual job performance and its exact mechanism. An extended stressor–strain–outcome research model is proposed to explain how excessive social media use at work influences individual job performance.

The research model was empirically tested with an online survey study of 230 working professionals who use social media in organizations.

The results revealed that excessive social media use was a determinant of three types of social media overload (i.e. information, communication and social overload). Information and communication overload were significant stressors that influence social media exhaustion, while social overload was not a significant predictor of exhaustion. Furthermore, social media exhaustion significantly reduces individual job performance.

Theory-driven investigation of the effects of excessive social media use on individual job performance is still relatively scarce, underscoring the need for theoretically-based research of excessive social media use at work. This paper enriches social media research by presenting an extended stressor–strain–outcome model to explore the exact mechanism of excessive use of social media at work, and identifying three components of social media-related overload, including information, communication and social overload. It is an initial attempt to systematically validate the casual relationships among excessive usage experience, overload, exhaustion and individual job performance based on the transactional theory of stress and coping.

Mounting empirical evidence shows that engagement in social network sites (SNSs) could have a negative impact on users’ personal well-being. However, studies of the undesirable effects of SNS use have not examined SNSs as a channel for users to share consumption information and experiences. To extend prior research, this study aims to examine the impact of consumption-oriented engagement (COE) in SNSs on young adult consumers’ personal well-being in terms of anxiety and self-esteem, as well as excessive spending.

Surveys were the primary means of data collection from a sample of young college students (N = 900). Moderated hierarchical regression was used to test the hypotheses.

COE is positively associated with anxiety and excessive spending and negatively associated with self-esteem. Social comparison mediates these relationships, and individuals’ materialistic values moderate the mediation.

This study demonstrates the psychological and behavioral outcomes of consumer socialization via digital media among young adult consumers. It introduces and empirically validates social comparison as a theoretical explanation for the effects of COE. In addition, it validates materialistic values as a personal trait that moderates the effects of COE.

The study validates COE as a key precursor to the well-being of young adult users of SNSs and social comparison as the mediator. With this understanding, public policies can be designed to mitigate the root cause of the negative impact of SNS use.

Findings shed light on the negative repercussions of engagement in SNSs in the consumption domain and provide an impetus for educators, researchers and policymakers to make further efforts to gain a thorough understanding of the pitfalls of social media use.

To understand the mechanisms underlying social media discontinuance behavior, this study explores factors affecting social media discontinuance behavior from the perspective of social cognitive theory (SCT).

Based on SCT, this study puts forward a theoretical model incorporating habit, excessive use and negative emotions to predict social media discontinuance behavior. The proposed research model was empirically tested with 465 responses collected from WeChat users in China via an online survey. WeChat is one of the most popular social media in China. However, WeChat also faces the challenges of reduced or terminated usage among its users. Partial least squares structural equation modeling (PLS-SEM) technique was used to analyze the data.

The research results in this study show that habit exerts a negative effect on social media discontinuance behavior, while exhaustion and regret have positive influences. In addition, habit positively affects excessive use, which further leads to negative emotions of social media exhaustion and regret. Moreover, gender moderates the relationship between habit and social media discontinuance behavior.

This study adds to the literature of information system (IS) use lifecycle by investigating user behavioral changes regarding a transition from habituated to excessive use and further to discontinuance behavior. This study also helps elucidate the complex role of habit by explaining social media discontinuance from the social cognitive view. Furthermore, this study advances the current understanding of gender difference in social media discontinuance in the Chinese context. The study also offers insights to practitioners on how to prevent individuals from discontinuing their use of social media.

The present research examines self-disclosure as a negative behavior arising from excessive engagement on social media as well as social media addiction and fear of missing out.

A convenience sample of 2,333 Snapchat and Instagram users in Kuwait collected using a snowball sampling procedure was utilized to validate the research model and test the proposed relationships using two-stage structural equation modeling.

A multigroup confirmatory factor analysis across Snapchat and Instagram users showed that the measurement invariance was statistically nonsignificant. In addition, path analysis confirmed both a significant direct relationship between user engagement and self-disclosure and indirect relationships through social media addiction and fear of missing out as mediators.

Ethicists and consumer protection agencies must increase public awareness about the danger of overdisclosure of personal information on social media. The desire to be popular like fashionistas and influencers has pushed some young users to expose themselves to the public at extreme levels. Serious steps must be taken to educate young users about the negative consequences of self-disclosure on social media and healthy ways to capitalize their social presence on social media.

This study focuses on Snapchat and Instagram as underexplored social media applications with excessive engagement and potentially negative consequences on society.

Social media addiction has been an ongoing topic of debate for platform developers, well-being and mental health experts. There is a limited understanding of the factors leading to the addiction of young social media users, the consequences of experiencing addiction, and the measures/mechanisms used by parents and platform providers to limit/prevent problematic social media use amongst young users. This systematic review aims to provide a comprehensive overview of the literature concerning these issues.

The Preferred Reporting Items for Systematic Reviews (PRISMA) protocol was used to evaluate and present the results. A total of 45 studies were screened and independently reviewed against predetermined criteria for eligibility.

The results revealed four categories of young users' addiction to social media networks (social, technological, behavioural and mental). Several prevention approaches directed at parents and platform providers were discussed.

This study offers important insights for health policy makers, platform providers, parents and researchers on designing interventions addressing social media addiction amongst young users. It also provides an in-depth understanding of the conceptualization of social media addiction and suggestions on possible actions to prevent it.

Compulsive social media use has the potential to reduce well-being. In this study, the authors propose that there are two main paths to compulsive social media consumption. One is behavioral and based on habit; the other is motivational and rooted in the fear of missing out. This study aims to test the antecedents of these two drivers as well as their consequences for the tendency to engage in compulsive social media consumption.

The authors applied a quantitative research design and collected data through a survey of 600 respondents from a representative sample. The authors used structural equation modeling to test their conceptual model and hypotheses. Gender and age were included as moderators to investigate the model’s boundary conditions.

The authors found support for all the suggested relationships in the conceptual model. The findings indicate two main manifestations of compulsive social media use – always being logged in (i.e. the frequency of social media consumption) and excessive use (the intensity of consumption) – that in turn spurred a reinforcer of compulsivity: disconnection anxiety. The findings also indicate two main paths to compulsive social media consumption. One path is behavioral, based on habit, and the other is motivational, based on fear of missing out. Moreover, the authors identified the key antecedents of both paths. Habit formation was observed to be a function of situational cues (technological nudges in the online sphere) and consumer engagement. Fear of missing out was shaped by both injunctive norms (a consumer norm to be online) and descriptive norms (social proof).

Although the antecedents of compulsive social media consumption suggested in this study have a strong and significant effect, the explained variance in the dependent variables being always logged in and excessive social media use indicates that there might be other drivers as well. These should be explored along with moderators other than gender and age to identify the potential boundary conditions of the model.

The main implications of the present work point to the “ease” with which typical or normal social media use may spiral out of control and become compulsive, with adverse implications for consumer health and well-being.

The behavioral and motivational paths to compulsive social media consumption have been less explored and have not yet been studied in conjunction, nor have their antecedents and consequences. Thus, this is a novel approach to understanding how social media use can potentially lead to reduced control and well-being.