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Recent years have seen an explosion in the study of emotions in organizations, and although emotions play a central role in the job stress process, their role is largely neglected in empirical stressor–strain studies. Our chapter aims to build consensus in the literature by showing that discrete emotions provide a mechanism through which stressors exert their impact on well-being. By examining a larger domain of stressors, emotions, and well-being, we begin to develop and expand upon the nomological network of emotions. In an effort to build on the job demands–resources (JD-R) model, which includes both job demands (i.e., negative stimuli such as time pressure) and resources (i.e., positive stimuli such as autonomy), we include both negative and positive discrete emotions with the expectation that negative emotions will generally be linked to demands and positive emotions will be linked to resources. We also propose that there may be circumstances where demands trigger negative discrete emotions and lead to greater experienced strain, and conversely, where resources arouse positive discrete emotions, which would positively affect well-being. The model in our chapter sheds light on how discrete emotions have different antecedents (i.e., job demands and resources) and outcomes (e.g., satisfaction, burnout, performance), and as such, respond to calls for research on this topic. Our findings will be of particular interest to organizations where employees can be trained to manage their emotions to reduce the strain associated with job stressors.

While the phenomenon of technostress has received significant attention from researchers in recent years, empirical findings concerning the consequences of specific forms of techno-stressors have remained scattered and contradictory. The authors aim to integrate the conclusions of previous studies to understand the effects of specific techno-stressors on strain and job performance.

This study employs meta-analytic techniques to calibrate the findings of 67 studies investigating more than 63,100 employees.

In general, not all techno-stressors have adverse effects. In particular, techno-uncertainty does not impact job performance. In addition, relative weight analyses reveal the relative importance of techno-complexity and techno-insecurity as predictors of both strain and job performance. Finally, this study finds that the effects of specific techno-stressors on job performance vary depending on research participants' gender, educational attainment and employment status.

First, this study provides a more nuanced view of the effects of specific techno-stressors. Second, this research clarifies the relative importance of specific techno-stressors as predictors of strain and job performance. Finally, this study reveals the moderating effects of demographic variables on the relationships between specific techno-stressors and job performance.

Considerable evidence suggests that although they overlap, entrepreneurial and employee stressors have different causal antecedents and outcomes. However, limited empirical data explain how entrepreneurial traits, work and life drive entrepreneurial stressors and create entrepreneurial strain (commonly called entrepreneurial stress). Drawing on the challenge-hindrance framework (CHF), this paper hypothesises the causal effect of hindrance stressors on entrepreneurial strain. Furthermore, the study posits that entrepreneurial stressors and the resultant strain affect entrepreneurial behaviour.

The study adopts an SEM-based machine-learning approach. Cross-lagged path models using SEM are used to analyse the data and train the machine-learning algorithm for cross-validation and generalisation. The sample consists of 415 entrepreneurs from three countries: India, Oman and United Arab Emirates. The entrepreneurs completed two self-report surveys over 12 months.

The results show that hindrances to personal and professional goal achievement, demand-capability gap and contradictions between aspiration and reality, primarily due to unique resource constraints, characterise entrepreneurial stressors leading to entrepreneurial strain. The study further asserts that entrepreneurial strain is a significant predictor of entrepreneurial behaviour, significantly affecting innovativeness behaviour. Finally, the finding suggests that psychological capital moderates the adverse impact of stressors on entrepreneurial strain over time.

This study contributes to the CHF by demonstrating the value of hindrance stressors in studying entrepreneurial strain and providing new insights into entrepreneurial coping. It argues that entrepreneurs cope effectively against hindrance stressors by utilising psychological capital. Furthermore, the study provides more evidence about the causal, reversed and reciprocal relationships between stressors and entrepreneurial strain through a cross-lagged analysis. This study is one of the first to evaluate the impact of entrepreneurial strain on entrepreneurial behaviour. Using a machine-learning approach is a new possibility for using machine learning for SEM and entrepreneurial strain.

Past research on self-employment and health yielded conflicting findings. Integrating predictions from the Stressor-Strain Outcome model, research on challenge stressors and allostatic load, we predict that physical and mental health are affected by self-employment in distinct ways which play out over different time horizons. We also test whether the health impacts of self-employment are due to enhanced stress (work-related strain) and differ for man and women.

We apply non-parametric propensity score matching in combination with a difference-in-difference approach and longitudinal cohort data to examine self-selection and the causal relationship between self-employment and health. We focus on those that transit into self-employment from paid employment (opportunity self-employment) and analyze strain and health over four years relative to individuals in paid employment.

Those with poorer mental health are more likely to self-select into self-employment. After entering self-employment, individuals experience a short-term uplift in mental health due to lower work-related strain, especially for self-employed men. In the longer-term (four years) the mental health of the self-employed drops back to pre-self-employment levels. We find no effect of self-employment on physical health.

Our research helps to understand the nonpecuniary benefits of self-employment and suggests that we should not advocate self-employment as a “healthy” career.

This article advances research on self-employment and health. Grounded in stress theories it offers new insights relating to self-selection, the temporality of effects, the mediating role of work-related strain, and gender that collectively help to explain why past research yielded conflicting findings.

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 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.

The purpose of this paper is to examine workplace bullying as a potential moderator (or exacerbator) in the relationship between job demands and physical, mental and behavioral strain.

Survey data from a cross-section of 262 employees were collected using a range of measures and hierarchical moderated regressions were performed to examine the interactive effects of job demands and workplace bullying on physical exhaustion, depression, and medically certified and uncertified absenteeism.

The results revealed that workplace bullying significantly exacerbated the effects of job demands on physical exhaustion, depression, and uncertified absenteeism.

The study utilized a cross-sectional self-report survey research design which does not permit causal inferences to be made. Longitudinal research is needed to further investigate these relationships reported here.

Managers should seek to minimize workplace bullying as well as excessive job demands to help alleviate the risk of employees developing negative health outcomes.

The study investigated how different categories of stressors interact with each other to predict various health outcomes or forms of job strains.

Social networking sites (SNS) are heavily used by university students for personal and academic purposes. Despite their benefits, using SNS can generate stress for many people. SNS stressors have been associated with numerous maladaptive outcomes. The objective in this study is to investigate when and how SNS use damages student achievement and psychological wellbeing.

Combining the theoretical perspectives from technostress and the strength model of self-control, this study theoretically develops and empirically tests the pathways which explain how and when SNS stressors harm student achievement and psychological wellbeing. The authors test the research model through a two-wave survey of 220 SNS using university students.

The study extends existing research by showing that it is through the process of diminishing self-control over SNS use that SNS stressors inhibit achievement and wellbeing outcomes. The study also finds that the high use of SNS for academic purposes enhances the effect of SNS stressors on deficient SNS self-control.

This study further opens up the black box of the social media technostress phenomenon by documenting and validating novel processes (i.e. deficient self-control) and conditions (i.e. enhanced academic use) on which the negative impacts of SNS stressors depend.

Owners, managers and employees may be criticized personally and professionally by consumers in online reviews, and may suffer emotional and burnout consequences. The purpose of this paper is to examine the impact of customer-generated negative online reviews on hospitality employees.

This research analyzed the effects of traditional face-to-face customer-related social stressors, as well as a newly added negative online review (NOR) stressor, on anger and burnout in a sample of 418 US hospitality workers.

Structural equation modeling revealed that, after taking into account the contribution of customer-related social stressors, receipt of NORs predicts anger and anger mediates the relationships between NOR-receipt and two indices of burnout.

This research extends our understanding of social stressors that apply to workers in the hospitality industry. It offers strategies for managing the threats and optimizing the opportunities, provided by negative online reviews.

This study is one of the first studies that provide evidence of the personal impact of NORs on hospitality industry employees, thereby extending our understanding of social stressors that apply to workers in this industry.

The study aims to investigate the relationship between work stressors (abusive supervision and dysfunctional customer behaviour) and several job outcomes such as service sabotage, job satisfaction and intention to quit among frontline employees in the Indian hospitality industry. It also explores the mediating role of emotional exhaustion explaining the indirect effect between the work stressors and the job outcomes.

This is a multi-wave (data collected at two time points) cross-sectional survey study. In order to test the study hypotheses, the study draws responses from frontline employees working in several hotels and restaurants in India. The final sample of 274 was analysed using SmartPLS and Statistical Product and Service Solutions (SPSS).

Results report that both the work stressors were significantly related to the job outcomes in the direction suggested in the literature. Also, the indirect effect between the work stressors and the job outcomes via emotional exhaustion were found to be significant.

The present study makes two unique contributions to the extant literature; first, it conceptualizes and empirically tests the pernicious impact of multiple work stressors like abusive supervisor and dysfunctional customer behaviour on the job outcomes of frontline hospitality industry employees. Second, it is the only study to investigate the relationship between the two work stressors and service sabotage in the Indian hospitality industry.