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Online labour markets (OLMs) have recently become a widespread phenomenon of digital work. While the implications of OLMs on worker well-being are hotly debated, little empirical research examines the impact of such work on individuals. The highly competitive and fast-paced nature of OLMs compels workers to multitask and to perform intense technology-enabled work, which can potentially enhance technostress. This paper examines the antecedents and well-being consequences of technostress arising from work in OLMs.

The authors draw from person–environment fit theory and job characteristics theory and test a research model of the antecedents and consequences of worker technostress in OLMs. Data were gathered from 366 workers in a popular OLM through a large-scale online survey. Structural equation modelling was used to evaluate the research model.

The findings extend existing research by validating the relationships between specific OLM characteristics and strain. Contrary to previous literature, the results indicate a link between technology complexity and work overload in OLMs. Furthermore, in OLMs, feedback is positively associated with work overload and job insecurity, while strain directly influences workers' negative affective well-being and discontinuous intention.

This study contributes to technostress literature by developing and testing a research model relevant to a new form of work conducted through OLMs. The authors expand the current research on technostress by integrating job characteristics as new antecedents to technostress and demonstrating its impact on different types of subjective well-being and discontinuous intention. In addition, while examining the impact of technostressors on outcomes, the authors consider their impact at the individual level (disaggregated approach) to capture the subtlety involved in understanding technostressors' unique relationships with outcomes.

Personally owned mobile information and communication technologies (MICT) have been widely and routinely used for work purposes in the post-pandemic workplace. Drawing on adaptive structuration theory for individuals (ASTI), this study investigates the antecedents (i.e. characteristics of MICT) and outcomes (i.e. employee affective and cognitive well-being) of routine MICT use in the remote work context.

The research model was empirically tested via a survey of 430 working professionals who use personal MICT for work purposes in the remote work context.

Results show that the routine MICT use increases employee affective well-being (i.e. job satisfaction) and mitigates cognitive well-being (i.e. technology overload). The mediation effects of routine MICT use on the relationships between its characteristics (autonomy and timeliness) and employee well-being (i.e. job satisfaction and technology overload) were also found.

Existing research on remote work has widely focused on employee productivity and performance, while attention has rarely been paid to the effects of the technology-driven “new normal” on employee well-being. Grounded in ASTI, this study identifies three MICT characteristics as sources of user adaptive structuration, which impact employees' routine MICT use behavior and further influence employee affective and cognitive well-being. This research can help understand employees' personal MICT use adaptive behavior and improve their well-being.

Research has suggested that employees interpret high-performance work systems (HPWSs) as targeting two distinct organizational objectives: enhancing performance and promoting employee well-being. These attributions often exert divergent effects on employee attitudes. Thus, this study aims to investigate this dynamic within the context of the Korean nursing occupation, clarifying how the HPWS can simultaneously evoke dual attributions: human resource (HR) well-being and HR performance attributions. Additionally, the authors examine the contrasting effects of these attributions and identify a moderating variable that could reconcile them. Drawing on the psychological experience of status theory, the authors conceptualize and test the moderating effect of employees' self-perceived status on the relationship between HR performance attribution and affective commitment.

Data were collected from 475 nurses in 82 work units in Korean hospitals. Hypotheses were tested in a multilevel moderated mediation model.

The findings revealed that an HPWS elicits HR well-being and HR performance attributions. While HR well-being attribution was positively associated with affective commitment, HR performance attribution was positively related to affective commitment when employees' self-perceived status was high. Moreover, the HPWS demonstrated an indirect relationship with affective commitment via increasing HR performance attribution when self-perceived status was high.

Although the personal meaning of HR attributions differs depending on the perceiver’s situation, this aspect has received little attention in the field of research. This study advances the understanding of HR attributions derived from the HPWS within the specific context of Korean nursing. Furthermore, the authors suggest that the two attributions may not conflict with each other, indicating that the impact of HR performance attribution is conditional on an individual’s self-perceived status.

In a post-pandemic era, the hybrid workspace (HW) that came into practice now remains a new normal way of working for employees. This new practice has received a great deal of attention from researchers recently. However, the impact of HW on the affective well-being (AWB) of employees is less investigated. The present study focuses on the relationship between HW and affective states (positive and negative affects together) and the role of positive work reflection (PWR).

This present research work is based on the cross-sectional data collected from employees of IT and software sectors in India, through the purposive convenience sampling method (N = 329). Respondents were identified through the social and industrial connections of the authors. Structural equation modeling with AMOS 24 was adopted for hypothesis testing.

The empirical findings showed that HW is positively related to positive affects, negatively related to negative affects and positively associated with PWR. In addition, the PWR can partially mediate the relationship between HW and affective states, which is in line with the existing literature on PWR.

By exploring the less investigated link between HW and affective states, this study offers new insights into the understanding of HW and AWB. Based on the ideas of cognitive appraisal theory, this study contributes to the literature by proposing and analyzing PWR as a mechanism that partially mediates the influence of HW on the positive and negative affects of employees. These findings will facilitate the decision-makers, employees and organizations to understand the essential benefits of HW in the form of affective states and PWR. To the best of the authors' knowledge, this is the first study to explore the relationship between HW, PWR and AWB of employees.

This study aims to examine the role of teachers’ emotional intelligence (EI) and emotional labour (EL) strategies in their affective and physical well-being.

The quantitative data were collected from 436 primary school teachers. Likert-type scales were used to measure the variables. Confirmatory factor analyses were performed for the construct validity of the scales, and path analysis was used to test the hypothesised model.

The final structural equation model suggests that teachers' EI levels and display of appropriate EL strategies significantly reduce their stress, anxiety, burnout and psychosomatic complaints (PSCs). The final model shows that the deep acting strategy, which includes more adaptive emotion regulation strategies, improves teachers’ affective and physical well-being, while the surface acting strategy has a detrimental effect on their well-being.

To the best of the authors’ knowledge, this study is the first in the literature to highlight the importance of school teachers’ EI and EL strategies in managing stress, anxiety, burnout (affective well-being),and alleviating PSCs (physical well-being) within a single structural equation model. The findings have implications for educational leaders in fostering teachers’ emotional competencies and resources.

This study aims to examine the conceptual distinction of two clothing orientations – style orientation and fashion orientation. Style and fashion orientations both express identity and individuality, but the fashion orientation may more strongly reflect materialistic values, which extensive evidence shows are detrimental to well-being. This study investigates how the clothing orientations are associated with materialism and subjective well-being.

The conceptual distinction between style and fashion orientations and their associations with materialism and subjective well-being were investigated via an online survey (N = 4,591) conducted in Germany, Poland, Sweden and the USA. Participants aged 18–65 were recruited based on national representative quotas for age, gender, education and region.

The regression results support a conceptual distinction between the style and fashion orientation. Style orientation was positively associated with subjective well-being compared to fashion orientation. Both the style and fashion orientations were positively correlated with materialism, but the association was much stronger for fashion orientation and materialism exhibited a strong negative association with subjective well-being. Interestingly, materialism moderated the association between fashion orientation and well-being but not between style orientation and well-being.

The four examined countries were Western, and, thus, the findings cannot be generalized to other populations. In addition, this study specifically examined relationships in a clothing context. To enable wider generalization, the relationships tested must be explored in other countries, especially non-Western, and also across other product categories.

The findings of this study can help retailers develop their marketing programs, product and service offerings and specifically their communications more closely targeted to consumers’ clothing orientations.

This study contributes by conceptually distinguishing between clothing style and fashion orientations and investigating their divergent associations to materialism and subjective well-being. This research also raises the question of whether fashion orientation is independent or rather, an aspect of materialism, which has implications for other consumption domains as well.

This study draws on the affective events theory (AET) to understand how telework may influence workers' well-being. Hence this study aimed to (1) analyze the indirect relationship between telework and well-being via daily micro-events (DME), and (2) test whether procrastination would moderate this indirect effect.

To test the goals, data were gathered from a sample of teleworkers in the IT sector (N = 232). To analyze the data, a moderated mediation analysis was performed in SPSS with PROCESS macro.

The results showed that micro-daily events mediated the positive relationship between telework and well-being; however, this relation was conditional upon the levels of workers' levels of procrastination, that is, this link became weaker for those who were procrastinators.

By highlighting the importance of telework, DME and procrastination, this study offers managers distinct strategies for enhancing their employees' well-being.

Despite the existing research investigating the effect of telework on well-being, studies investigating the intervening mechanisms between these two constructs are scarce. Moreover, there is a lack of research investigating the moderating effect of procrastination in these relations. Hence, this study fills these gaps and advances knowledge on the process that explains how (via DME) and when (when procrastination is low) teleworking influences workers' well-being.

Employees often reframe their work roles and ascribe meaning to their jobs, which is called cognitive job crafting (CJC). Although scholars have identified the importance of CJC, there remains a lack of evidence on what motivational characteristics affect initiating such cognitive changes and how these cognitive changes affect one’s well-being. Drawing on job design and self-determination theories, this study aims to investigate how intrinsic motivations affect CJC and, thus, optimize affective well-being (AWB) through cognitive changes.

The cross-sectional data were collected using online questionnaires from 327 white-collar employees working in various organizations. The validity of the hypothesized model was tested by using structural equation modeling. Hypotheses were tested using Process analysis.

The findings showed that intrinsic motivations (i.e. self-determination and meaning) were positively related to CJC, which resulted in increased positive affection and decreased negative affection, reflecting a mediating mechanism.

The authors suggest that practitioners can enhance employee well-being by implementing policies that value proactive job redesign strategies (e.g. job crafting training). Thus, the practitioners may motivate employees to craft their jobs, which leads employees to engage and perform well.

The results of this study contribute to a deeper understanding of job crafting initiatives by providing evidence for the role of motivational and cognitive mechanisms that help optimize well-being at work.

The COVID-19 pandemic found deliberate and idiosyncratic adoption of telecommuting and other flexibility practices across industries. With the pandemic waning, many organizations adopted various models for employee work locations. Based on Self-Determination Theory and Social Comparison Theory, the authors examine the impact of the dissonance between employee preference for their work location and enforced work location norms and its impact on general well-being and organizational commitment.

The authors’ empirical study is based on a sample of 881 respondents across multiple industries in India over six months of the COVID pandemic. The authors use PLS-SEM for data analysis to examine the model and the moderating influence of individual resilience on control at work.

The authors find that increased dissonance between work locations reduces general well-being, control and work. Further, higher individual resilience reduces the impact of this dissonance on control at work.

The study informs policy and practices that choice of work location is important for employees to feel a higher sense of control, impacting their affective commitment and general well-being. While implementation of policies across an organization for varying job roles and complexities presents a challenge, practitioners may ignore this need of employees at their peril, as employees are likely to demonstrate lower well-being, engagement and organizational commitment and eventually leave.

This study is significant as it provides relevant scholarship based on the COVID-19 pandemic, guiding practice on future ways of working. This study further supports the impact of an individual's sense of control on where work is done. The authors build a strong theoretical foundation to justify the impact of the lack of autonomy in the emerging working norms on employees' general well-being and organizational commitment.

This paper aims to present affective computing or Emotion AI in the context of work and how organizational leaders such as managers and human resource (HR) professionals can implement this technology to foster an emotionally healthy workplace.

The authors provide a current overview of affective computing technology through definitions, examples and general use cases. This is in light of the current scrutiny on artificial intelligence (AI) use broadly across society. The authors address this from a research perspective and show how this advanced AI tool can be implemented in organizations for the benefit of employees.

Affective computing or Emotion AI is still relatively unknown, and yet, it is already part of our daily lives. Emotion AI platforms have the potential to be an essential part of HR tools. It is crucial, however, to use this technology in an ethical and responsible manner.

There is little awareness and understanding of use cases of affective computing tools in organizations, particularly for the well-being of the workforce. This paper provides HR leaders, managers and researchers with an overview of the origins of the field and major considerations for responsibly implementing Emotion AI to support employee mental health.