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In light of the stimulus-organism-response (SOR) theoretical paradigm, this paper explores how information relevance and media richness affect social network exhaustion and, moreover, how social network exhaustion ultimately leads to health anxiety and COVID-19-related stress.

The conceptual model is explicitly analyzed and estimated by using data from 309 individuals of different ages in mainland China. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were utilized to validate the proposed hypotheses through the use of online data.

The findings suggest that information relevance is negatively associated with social network exhaustion. In addition, social network exhaustion is a significant predictor of health anxiety and stress. Furthermore, information relevance and media richness can indirectly influence health anxiety and stress through the mediating effect of social network exhaustion.

Theoretically, this paper verifies the causes and consequences of social network exhaustion during COVID-19, thus making a significant contribution to the theoretical construction and refinement of this emerging research area. Practically, the conceptual research model in this paper may provide inspiration for more investigators and scholars who are inclined to further explore the different dimensions of social network exhaustion by utilizing other variables.

Although social network exhaustion and its adverse consequences have become prevalent, relatively few empirical studies have addressed the deleterious effects of social network exhaustion on mobile social media users’ psychosocial well-being and mental health during the prolonged COVID-19. These findings have important theoretical and practical implications for the rational development and construction of mobile social technologies to cultivate proper health awareness and mindset during the ongoing worldwide COVID-19 epidemic.

The principal purposes of the research are to empirically investigate three forms of perceived overload on social media and shed light on their associations with users’ passive usage intention by contemplating the mediating influence of social network exhaustion and discontented feelings.

This study employed a cross-sectional methodology to collect statistical data (N = 679) from WeChat users in mainland China. Primitive analysis, confirmatory factor analysis and structural equation modeling were employed to test the corresponding hypotheses.

The findings reveal that three dimensions of perceived overload influence social network exhaustion positively. In addition, communication overload and system feature overload exert positive impacts on the discontented feeling. Furthermore, it is uncovered that social network exhaustion and discontented feeling are related to passive usage intention positively.

Theoretically, this paper offers a conceptual framework to explicate passive usage intention through elucidating social network exhaustion and the discontented feeling that arises from perceived overload in contemporary social media-mediated environments. Practically, the current research has certain realistic implications for WeChat users and SNS operators.

Probing what triggers people’s passive usage intention of social media has been an emerging theme in recent years, yet there is a dearth of discourse that delves into the antecedents of WeChat users’ passive usage intention. The results obtained from the study have enhanced the understanding of the adverse consequences associated with the utilization of social media in mainland China.

Taking a network approach, the purpose of this paper is to investigate the social antecedents of work-related engagement and exhaustion in a sample of Dutch healthcare workers, examining how employees’ structural position in the team (i.e. their centrality in the network) is associated with their engagement and exhaustion. Distinctions are made between instrumental networks (i.e. structural dependencies) and expressive networks (i.e. emotional connectedness through friendships).

Associations between job characteristics (quantitative demands, emotional demands and influence) and employees’ centrality in the instrumental and expressive networks at work with their self-reported engagement and exhaustion were examined. Network centrality was assessed though a sociometric survey by the total number of nominations each employee received (in-degree centrality) or gave (out-degree centrality) and for both networks separately.

The results show that whereas job characteristics but not network centrality were associated with exhaustion, network centrality in the expressive network but not job characteristics was associated with engagement. In-degree centrality (being nominated by many co-workers as a friend) was positively associated with engagement, whereas out-degree centrality (nominating many co-workers as a friend) was negatively associated with engagement.

The results support recent findings concerning more multifaceted antecedents of engagement and exhaustion, and underline the importance considering social network characteristics in investigations of work engagement. On a methodological level, the differing results for in-degree and out-degree centrality underline the importance of not only relying on self-reported social relationships but to also capture other-reported data.

This research aims to explore the potential negative effects of social media on employees' work performance in a stressful working environment.

This study model was tested using a sample of 398 social media users from China.

Structural equation modeling analysis provide support for most of the hypothesized relationships as results reveal that social stressors and technical stressors are related to exhaustion and anxiety of employees using social media. Furthermore, results reveal that exhaustion and anxiety exhibit a negative influence on employees' work performance.

This study extends the authors’ understanding of how social stressors and technical stressors are related to work performance. The integration of the transactional theory of stress and coping with socio-technical systems offers a holistic view to explain the phenomenon of stress in the social media context.

Social media platforms are increasingly used at work to facilitate work-related activities and can either challenge or make people feel more productive at jobs. This study drew from technostress and employee well-being literature and analyzed longitudinal effects of professional social media (PSM) invasion, work engagement and work exhaustion on PSM-enabled productivity.

Nationally representative five-wave survey data of Finnish employees were analyzed with hybrid multilevel linear regression analysis. Outcome measure was PSM-enabled productivity and the predictors included PSM invasion, work exhaustion and work engagement. Age, gender, education, occupational sector, managerial position, remote work and personality traits were used as control variables.

PSM invasion and work engagement had both within-person and between-person effects on PSM-enabled productivity. Higher educated and individuals with open personality reported higher PSM-enabled productivity. No association between work exhaustion and PSM-enabled productivity was found.

The findings are central considering the increasing use of social media and other technologies for work purposes. The authors challenge the dominant view in the literature that has often seen PSM invasion as a negative factor. Instead, PSM invasion's positive association with PSM-enabled productivity and the association of work engagement and PSM-enabled productivity should be recognized in work life.

Gamification design is considered an effective way of changing users' health behavior and improving their health management performance. Even though numerous studies have investigated the positive effect of gamification competition on users, little research has considered gamification's ineffectiveness and negative effects. In particular, how gamification competition affects users' technological exhaustion remains unclear.

According to flow theory and related research on gamification, this study discusses the nonlinear relationship between gamification competition and users' technological exhaustion. Furthermore, the authors analyze the moderating effect of user type (socializers and achievers) and users' health condition on this nonlinear relationship. Based on flow theory, the authors propose a series of research hypotheses. To test all research hypotheses, the authors collected information from 407 users via a questionnaire as the data for this study.

The empirical results found a U-shaped relationship between gamification competition and technological exhaustion. Technological exhaustion gradually decreases as competition increases until reaching the lowest point; after that, technological exhaustion gradually increases as competition increases. Further, being a socializer and health condition play a moderating role in the U-shaped relationship between competition and technological exhaustion.

This study's findings not only enrich the related research in flow theory and gamification, but also contribute to the effective design of gamification in health management platforms.

Although materializing the benefits of social media substantially depends on sustained user participation, social media service providers are experiencing a decline in the number of users. Despite the relevance of studying and managing discontinuance behaviors, a systematic empirical investigation remains lacking. The present study draws on the idea of a two-factor model and aims to examine the enabler, inhibitor and their antecedents in the context of social media discontinuance.

The proposed theoretical model was empirically validated through an online survey study of 238 social media users in China.

Findings indicated that two negative outcomes of social media use (i.e. social overload and invasion of privacy) induce regret experience and ultimately foster discontinuance intentions. The development of discontinuance intentions was undermined by the level of inertia, which is rooted in social media habit, sunk costs and affective commitment.

This study draws attention to the fundamental difference between continuance and discontinuance behaviors, advances the existing understanding of postadoption behaviors by focusing on discontinuance inhibitors (e.g. inertia) and develops the first two-factor model for social media discontinuance by integrating the regret and status quo bias literature.

While past research has begun exploring digital-free tourism, tourism digital detox and their benefits, no study to date has comprehensively mapped trends, findings and limitations across this growing body of literature. This study aims to conduct the first bibliometric analysis and systematic literature review to address this gap.

This study utilized a mixed methodology of bibliometric analysis and systematic literature review. Structured search strings were applied to databases to identify relevant papers, which were screened according to inclusion criteria. Bibliometric analysis of included papers was performed using Bibliometrix, an R package enabling network visualization, statistical tests and science mapping. This allowed the identification of significant topics, theories, methods, citations and publication trends over time.

The results clearly show that factors previously lacking attention in past tourism research, such as the interplay between online and offline experiences during travel, are emerging as important determinants of travelers' well-being. This study outlines the current state of scholarship on managing technology's impacts on travelers' psychological and social needs. Specifically, we found limited research integrating how digital detox tools shape pre-trip planning, on-site activities and post-trip sharing of travel experiences.

This is the first study to comprehensively map trends and findings in digital-free tourism and tourism digital detox research using a blended bibliometric analysis and systematic literature review methodology. It offers vital direction toward strengthening theoretical understanding and supporting balanced connectivity and fulfillment for all tourists going forward. By addressing limitations, this research approach helps develop this area of scholarship in a unified manner.

Pervasive mobile games (PMG) expand the game context into the real world, spatially, temporally and socially. The most prominent example to date is Pokémon Go (PGo), which in the first 12 months of its launch achieved over 800 million downloads and huge revenues for Pokémon, its majority owner Nintendo, and its developer Niantic. Like many mobile apps and innovative services, PGo's revenue structure requires continual usage (through in-app purchases and sponsorships) as it is free to download. Thus, as many players discontinued after initial adoption, substantial drops in Nintendo's share price occurred alongside the damage to brand equity. Such a case highlights the need to extend scholarship beyond traditional ‘adoption’ and begin to truly illustrate and explain the consumer behaviour phenomenon of ‘discontinuance’, particularly in the emerging and lucrative domain of PMGs.

Like many emerging marketing channels before it, large-scale discontinuance of PGo occurred and still remains unexplained in the academic literature. Herein, we address this shortcoming through a consumer case study methodology analysing a variety of data sources pertaining to PGo in Australia.

The development of the P2D_PMG model provides a new conceptual framework to illustrate the distinct forms discontinuance manifests in, for the first time. Scholarly rigour of the P2D_PMGs is achieved through validating and extending Soliman and Rinta-Kahila's (2020) framework for ‘discontinuance’ through its five forms. These forms are revealed as access and on-boarding (rejection), disconfirmation and hedonic adaptation (regressive discontinuance), technological, social, third parties, and personal issues (quitting), re-occurrences of hedonic adaptation (temporary), and alternatives and iterations (replacement).

Conceptual contributions are made in developing a model to explain what drives PMG discontinuance and when it occurs. This is particularly crucial for products with revenue structures built on continual usage, instead of initial adoption. In deriving data from actual players and aggregate user behaviour over an extended time period, the innovative case study methodology validates new discontinuance research in a manner other methods cannot. Managerial implications highlight the importance of CX, alpha/beta testing, promotion and research, gameplay design and collaboration/community engagement.

The online healthcare platform (OHP) has become an essential element of the healthcare system, representing a technological shift in the job responsibilities of medical professionals. Drawing on a technology-based job demands–resources (JD-R) model, this study aims to examine how the technological characteristics of OHP affect doctors’ OHP use psychology and behavior.

This empirical study was based on a survey conducted among 423 doctors with OHP use experience. The proposed model underwent assessment through partial least squares structural equation modeling (PLS-SEM) to reveal the effects of technology-based job demands (i.e. technology-based work overload and technology-based work monitoring) and resources (i.e. perceived usefulness, facilitating conditions and IT mindfulness) on doctors’ OHP fatigue and continuance use intention.

Results suggest that technology-based work monitoring, perceived usefulness and facilitation conditions have significant impacts on doctors’ psychological and behavioral responses to using OHP, whereas technology-based work overload and IT mindfulness have a single impact on continuance use intention and fatigue of OHP.

It assists doctors, healthcare administrators, policymakers and technology developers in understanding OHPs’ technological characteristics, enabling them to harness its benefits and mitigate potential challenges. Additionally, given the self-reported cross-sectional data from China, future studies can improve generalizability and adopt experimental methods or longitudinal designs with objective data.

It extends the research on OHP by employing a technology-based JD-R model to explore work attributes and dual effects associated with OHP’s technological characteristics. It also enriches existing research by examining the role of OHP’s technological characteristics in doctors’ psychological and behavioral responses.