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Despite the various benefits of social networking services (SNSs), users have begun to experience fatigue in recent years, as evidenced by a decline in active user numbers. This relatively new phenomenon has only recently received significant managerial and academic attention. The antecedents of SNS fatigue are still unclear in the literature. The purpose of this paper is to identify the key factors causing SNS fatigue, based on a socio-technical approach.

The authors empirically tested this research model with 424 SNS users via an online survey. Structural equation modeling with partial least squares was used to analyze the data.

The results showed that the social factors of social comparison, social interaction overload, social surveillance and social information overload, and the technical factor of system complexity are significantly related to SNS fatigue.

This research benefits SNS providers by allowing them to better understand how to effectively design social networking platforms to retain and attract more users. It also benefits users by providing guidance on how to actively manage their own behavior to avoid potential negative outcomes induced by SNS usage.

This study focuses on the “dark side” of SNS from the perspective of fatigue, extending existing research on technostress. It also extends the applicability of the socio-technical approach to the phenomenon of SNS fatigue. Moreover, it enriches SNS fatigue research by addressing the importance of both social and technical factors in causing SNS fatigue.

The purpose of this paper is to investigate the effects of social network sites (SNS) overload on individual job performance and discontinuous usage intention.

Based on the Stressor-Strain-Outcome (SSO) framework, a research model was proposed and tested empirically. The partial least squares structural equation modeling (PLS-SEM) method was applied to data collected online through a questionnaire.

Findings highlighted that social overload is related positively to information overload and communication overload. Information overload affected only the perception of work overload, while communication overload was a significant stressor affecting work overload and dissatisfaction towards SNS. Although results revealed a positive relationship between these two strains, only dissatisfaction influenced job performance and discontinuous usage intention.

As much as SNS are a useful tool in the workplace, they can have significant drawbacks. Prior studies have investigated this dark side. However, they scantily explored the effects of SNS overload on both job performance and discontinuous usage intention. Moreover, the relationships between types of overload are understudied. This paper proposes an enrichment of the literature by validating a model of the relationships between information overload, communication overload and social overload, job performance and discontinuous usage intention. It extends prior research on SNS stressors and points out the communication overload as the main SNS stressor affecting strains in the workplace.

In accordance with Bagozzi’s self-regulation theory, the aim of this paper is to explore the enablers and inhibitors of continuance intention from the perspective of bullet curtain, a new form of commentary on online video websites.

A total of 350 questionnaires were collected for the final analysis (covering 101 questionnaires for the pilot test) from China’s bullet curtain website. To analyze the model, the authors adopted SmartPLS 3.2, a structural equation modeling software.

As the results suggest, there is a positive correlation between satisfaction and continuance intention and a negative association between social network fatigue and continuance intention. In addition, synchronicity between the comments and video content, a dimension of synchronicity proposed in this study, improves the satisfaction. Furthermore, information overload significantly intensify social network fatigue.

The results help bullet curtain providers offer better interactive environment and improve websites’ functions to stimulate users.

By combining positive effect and negative effect of commentary, this study investigates Bagozzi’s theory in a context of bullet curtain. Besides, combinations of these factors help to gain insights in how the bullet curtain works in online video websites. These offer useful guidelines for managers to optimize a better system.

Social networking services (SNSs) have become deeply ingrained into our daily life. However, it has often been reported that users experience negative feelings regarding SNS usage. This phenomenon presents challenges for SNS providers in retaining or increasing their customer base. This study focuses on SNS fatigue, a negative psychological state that can lead to discontinuance intention among SNS users. This study proposes two distinctive SNS-specific contexts and investigates how they alleviate the negative effect of SNS fatigue on user behavior.

Drawing upon the context-specific theorization perspective, a model involving moderation effects of the SNS-specific contexts on the relationship between user's SNS fatigue and discontinuance intention was proposed. The model was tested using survey data of active SNS users.

The results indicate that SNS fatigue leads to user discontinuance intention. However, the SNS-specific contexts, such as social interaction context and platform service context, negatively moderate the relationship between SNS fatigue and user discontinuance intention.

The findings of this study are expected to help SNS providers develop strategies to improve their services for effective user retention.

This paper aims to discuss major influencing factors causing users’ mobile social media fatigue and divides them into three hierarchies, including causal factors, intermediary factors and outcome factors. The study also sorts out connections between different levels of factors, thus providing effective guidance for the sustained development of social media.

Based on the grounded theory and by collecting data through in-depth interviews, the authors use open coding, axial coding and selective coding to analyze major influencing factors of users’ mobile social media fatigue, build a model using the software NVivo 11, organize and analyze mobile social media fatigue behavior and identify the relationships by combining the interpretive structural model and explore connections among the factors.

The influencing factors of mobile social media fatigue behavior conform with the stressors-strains-outcomes (SSO) theoretical framework, where stressors (S) include the five factors of fear of missing out, perceived overload, compulsive use, time cost and privacy concerns; strains (S) include the five factors of a low sense of achievement, emotional anxiety, reduced interest, social concerns and emotional exhaustion; outcomes (O) include the six factors of neglect behavior, diving behavior, avoidance behavior, tolerance behavior, withdrawal behavior and substitution behavior.

It focuses on the discussion of the interactions between users’ stressors, strains and outcomes without fully considering the impact of social environment and educational background on social media fatigue behavior. This study only focuses on one social media platform in the Chinese context, namely, WeChat. We reply on the qualitative research method to construct the relationships between social media fatigue factors because we were mainly interested in how users would respond psychologically and emotionally to social media fatigue behavior.

The study has extended the application of the SSO theory. Additionally, the research method and model used in this paper may serve as guidelines to other interested scholars who intend to explore relevant variables and conduct further research on the influencing factors of social media fatigue. In analyzing the causality of social media fatigue, the study has integrated the intermediary factor strain to display users’ strains from social media stress with a more detailed path discussion on the causality of social media fatigue, which has not received broad attention in previous research literature on social networking services users’ use.

In this study, text data are collected in a diversity of forms combined, allowing respondents to answer questions without being limited by the questions in the questionnaire, which helped us to identify new variables of social media fatigue. As a result, we were able to dig out the fundamental causes of social media fatigue and potential connections between the factors. Relevant scholars, users and businesses may analyze, manage and forecast users’ social media fatigue behavior by analyzing the type of social media stress and users’ state, providing guidance for the proposal of corresponding management strategies.

Most relevant studies focus on the sustained use of social media, and there is a scarcity of studies on social media fatigue in China. There is very limited research that conducts model analysis of social media fatigue through the integration of stressors, strains and outcomes.

The purpose of this paper is to build a comprehensive structural model to demonstrate the interrelationships of factors influencing social networking service (SNS) fatigue and to identify the varying degrees of influence.

A total of 14 factors influencing SNS fatigue are identified through an extensive literature review. Interpretive structural modeling (ISM) and Matrice d'Impacts Croisés Multiplication Appliqué à un Classement (MICMAC) analysis are employed to build a hierarchical model and classify these factors into four clusters.

The results revealed that ubiquitous connectivity and immediacy of feedback are key factors contributing to SNS fatigue through their strong influence on other factors. Privacy concern, impression management concern and work–life conflict lead directly to SNS fatigue. In contrast, system feature overload and system pace of change are relatively insignificant in generating SNS fatigue.

This study represents an initial step toward comprehensively understanding the interrelationships among the factors leading to SNS fatigue and reveals how determinants of SNS fatigue are hierarchically organized, thus extending existing research on SNS fatigue. It also provides logical consistency in the ISM-based model for SNS fatigue by grouping identified factors into dependent and independent categories. Moreover, it extends the applicability of the integration of the ISM and MICMAC approaches to the phenomenon of SNS fatigue.

This study is based on the stimulus–organism–response (SOR) model to examine how job demands and technology overload affect work stress for workers using video conferencing apps (VCAs) in organizations during the COVID-19 pandemic. Moreover, the moderating effect of technology self-efficacy was tested in the model on the relationship between technology overload and work stress.

An online survey was conducted to investigate workers on PTT forums in Taiwan. A sample was obtained of 253 workers, and structural equation modeling was conducted using AMOS to test the hypotheses.

Job demands positively affect work stress through information overload, communication overload and system feature overload. Moreover, high technology self-efficacy may weaken the relationship between technology overload and work stress.

The study may have sample bias because our sample was obtained from an online survey on social networking sites. Regarding the theoretical implications, this study demonstrated that technology overload, as an internal organism, is a critical mediator influencing the relationship between job demands (stimulus) and work stress (response). Thus, this study extended the applicability of the SOR model in the context of working with VCAs in organizations.

Company managers need to effectively control the information amount, communication interruptions and system features of social media at optimum levels for workers. Moreover, companies should recruit workers with high technology self-efficacy or provide technology training and technology-related consulting to those with low technology self-efficacy.

The extant work stress knowledge is extended to workers using VCAs in organizations.

Social media platforms are currently facing the challenge of declining user activity. Building on the push–pull–mooring (PPM) framework, the current study developed a research model to evaluate factors that affect Facebook discontinuance.

The proposed research model assessed how push factors (e.g. Facebook fatigue and dissatisfaction), a pull factor (e.g. alternative attractiveness) and mooring factors (e.g. personal norms and habit of using Facebook) affected the discontinued usage behavior regarding Facebook. The proposed research model was validated using empirical data (n = 412) collected from Facebook users.

Facebook fatigue, dissatisfaction and alternative attractiveness significantly and positively affected discontinued Facebook usage. Personal norms and habit of using Facebook had a converse influence in this regard. Dissatisfaction had a stronger positive impact than Facebook fatigue and alternative attractiveness on the discontinued usage behavior regarding Facebook. Habits of using Facebook had a greater negative effect than personal norms of using Facebook on the discontinued usage behavior regarding Facebook by users.

This study extends extant literature on social media discontinuance to identify the antecedents of discontinuous usage behavior in social media. This study enriches the literature on social media discontinuance by shedding light on the different degrees of effect of the push, pull and mooring factors on discontinuous social media usage behavior.

Social media experience a rapid rise in recent years and steep into almost every aspect of people's lives by altering their lifestyles and creating an impact on their wellbeing. The purpose of the present study is to examine the influence of SNSs on life satisfaction among university students by first exploring what are the key gratifications which motivates them to engage in SNSs and then focusing on the psychological outcomes including social overload and social benefit from using SNSs that affects life satisfaction among the university students.

Theory of social influence and uses and gratifications theory were used in this study to examine the motivations for using SNSs, and the impact of psychological outcomes associated with SNSs usage, i.e. social benefit and social overload on life satisfaction among university students of Pakistan. Partial least squares-structural equation modeling is used to analyze the data.

The outcomes indicate that the need for maintaining interpersonal interconnectivity, entertainment value and social enhancement value derives the students' participation in social networking sites through which they encounter social benefit and social overload. The presence of social benefit enhances life satisfaction while social overload results in decreasing life satisfaction of students. Using social networking sites influences life satisfaction in the presence of social overload and social benefit while there is no direct influence of social networking sites on life satisfaction was evidenced.

The present study investigated the needs that drive the use of social media through the lens of UGT & Social influence approach. The other potential determinants of social media usage intention should be analyzed by employing variables of the other models.In this study social media was examined as a general platform used by the university students of Pakistan. In future researches the driving needs should be examined in the context of specific social networking sites.

The presented findings embraces the implications for the authorities of higher education institutions and policy makers as it provides the useful insights about student 2019s motivations and participation behavior in SNSs which would help in developing strategies for desirable results.

Educational institutions can utilize the research findings by incorporating social media tools in the academic system, student's interaction with their mentors will lead towards enhanced involvement of students and intellectual skills along with upgraded academic performance which will positively influence life satisfaction of the students.

The scarcity of findings was observed in the local environment specifically in the context of SNSs usage and well-being of the higher education students. This study addresses the motivational factors of SNSs usage and their psychological outcomes simultaneously and focused on the investigation of social media usage drivers and its outcomes among the university students of Pakistan.

Knowledge acquisition is a pivotal concern for the students and many sources help them to obtain knowledge. In this paper, the authors theoretically examine three engagements such as social media, peer and academic engagement by the theoretical foundation of engagement theory which tells that students interact and collaborate, sharing information for the acquisition of knowledge that enhances their academic performance. But due to the abundance of information, knowledge and resources available to students for the acquisition of knowledge, it becomes difficult for them to comprehend the most relevant information. In this vein, this study examined the impact of information overload on the relationship between social media, peer and academic engagement and knowledge acquisition of students.

The proposed model and structural relationships were validated using the structural equation modeling (SEM) technique through AMOS, version 24.0. To empirically test the hypothesized model, data are collected from the universities of the Sahiwal region (Sahiwal, Okara, Pakpattan) using structured questionnaires.

The findings revealed that social media engagement and academic engagement are positively associated with knowledge acquisition, whereas peer engagement is negatively associated with knowledge acquisition. Moreover, the results of the study further suggested that information overload dampens the positive relationship between social media, peer and academic engagement and knowledge acquisition, which causes negative consequences on students' knowledge acquisition and learning outcomes.

Researchers can use this study as the literature as many of the previous studies focused on the positive side of social networking sites and technologies for knowledge purposes, but this study extends the research and focused on the other side of the picture which has been ignored earlier by researchers. The authors theoretically explained the adverse effects of information overload on students' academic progress caused by social media and the abundance of irrelevant information these advanced technologies offer daily. The current research focused on identifying the critical role of social media, peer and academic institutions providing a lot of information to students which caused stress, anxiety and other psychological issues in them. So, this study adds to the literature by highlighting the adverse effects of unnecessary information provided by multiple resources to students.

Educationalists can adopt this study as a tool in academic institutions for promoting learning and to actively engage students in collaborative learning activities. As the findings of the study confirm that information overload is caused by the imbalanced use of information technology (IT) and social media sites, so teachers can help students in developing creativity and maintaining the balance between using technology and innovation in their studies pattern. Universities and institutions can play a vital role by exploring further opportunities for students and by making such policies that can help students in their learning progress. For this purpose, the authors developed a model based on the literature and theories that could change the academic system of Pakistan and enhance students’ practical knowledge by motivating students in taking part in learning activities by making the higher education system of Pakistan more engaging.

The authors are presenting simulation games-based learning as an alternate approach to learning and teaching that can positively influence students' engagement with learning activities in Pakistan. By adopting this model, the education system of Pakistan could improve as it can lead to better academic performance of students, which ultimately leads to a better education system. Thus, games if correctly designed and implemented in the education system of Pakistan, it can make a great difference in students' value of learning experience. The enjoyment, interactive and realistic nature of the simulation games appears to produce this value, and students tend to engage more toward these types of games rather than traditional learning methods. Simulation games provide students with an opportunity to engage in both hard (financial management, strategy making, decision-making) and soft skills (negotiation, collaboration) in business by challenging their thinking and decision-making power in a safe learning environment.

The phenomena of overload have become increasingly viable due to abundance of resources providing unnecessary information to students as they can get information from peers, teachers, social media platforms, blogs, wikis and many other platforms, which ultimately exhaust their capacity and leading them toward poor academic performance and other negative consequences (Yu, 2019; Bosch, 2016). This study focuses on students of higher education in Pakistan (Sahiwal region) and discusses the major challenges and opportunities that they had to face with the advancement of technology and the current social state of the knowledge in society.