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This study aims to investigate how to manage the stressors that facility managers (FMs) face with the aim of reducing their stress and strain levels.

Using the job demands-resources (JD-R) model, stressors are operationalized from job demands, job resources and personal resources constructs. A structured questionnaire was used to collect data from FMs based in Singapore.

FMs have significantly high levels of stress, but they are able to manage this well. Job demands that cause stress and strain are those relating to insufficient time to complete the work and difficulties in handling the work. The lack of job resources in terms of lack of organizational support and inadequate stress mitigation programs are associated with high levels of stress and strain.

The limitations are the relatively small sample size and absence of a database of FMs in Singapore, and correlation is not causation when determining the association between stressors and stress and strain.

Based on the recommendations, employers and FMs may manage the specific stressors identified so that FMs’ stress and strain levels are under control to enable them to work optimally.

This research discovered that the JD-R model is moderated by certain features of facilities management and FMs. When these features are present, FMs are predisposed to more stressors, and higher stress and strain. For the facilities management profession, the discovery is that there are significantly more job demands: for in-house FMs compared to those working for outsourced firms; for FMs who need to carry out estate and asset management, landlord activities and facility planning compared to FMs who focus on operations and maintenance; and for FMs who work longer than five days compared to those who work a five-day week.

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.

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.

Teleworkers need to use information and communication technology (ICT) to communicate and collaborate with their team members, however, when new and complicated information systems should be used, this can lead to stress. Receiving adequate information and emotional support from team members could reduce the stress caused by technological complexity and subsequent work and occupational strains.

Participants (N = 400) teleworked at least half of their working hours and were employed in organizations with a minimum of 250 employees. Data from the online survey were analyzed using structural equation modeling.

Results demonstrate that aspects of informational and emotional communication contribute to perceived social support from team members, with emotional communication explaining more variance. Stress from technological complexity is mitigated by both supportive team communication and the extent of telework. Perceived stress from technological complexity, however, still increases work and occupational strains.

The findings emphasize the importance of supportive internal communication to foster a collaborative telework environment. Practitioners in internal communication need to encourage teleworkers to help each other with adequate information and provide also emotional support to overcome the negative effects of complex ICT.

The study shows that supportive communication among team members is important for teleworkers to reduce work and occupational strains, especially when facing difficulties with complex ICT.

This study aims to explore the associations linking employees’ challenge-hindrance appraisals toward artificial intelligence (AI) to service performance while considering the dual mediating roles of job crafting and job insecurity, as well as the moderating role of AI knowledge.

A survey was administered to a sample of 297 service industry employees. This study examined all the hypotheses with Mplus 8.0.

This study confirms that challenge appraisal toward AI has an indirect positive influence on service performance via job crafting (motivation process), whereas hindrance appraisal toward AI has an indirect negative influence on service performance via job insecurity (strain process). Meanwhile, AI knowledge, serving as a key personal resource, could strengthen the positive impacts of challenge appraisal toward AI on job crafting and of hindrance appraisal toward AI on job insecurity.

Organizational decision-makers should first survey employees’ appraisals toward AI and then adopt targeted managerial strategies. From the perspective of service industry employees, employees should adopt proactive coping strategies and enrich their knowledge of AI to meet the challenges brought by this technology.

The primary contribution of this study is that we enrich the literature on AI by exploring the dual mediators (i.e. job crafting and job insecurity) through which AI awareness affects service performance. Moreover, this study advances our understanding of when appraisals toward AI influence job outcomes by identifying the moderating role of AI knowledge.

Workplace deviant behaviors (WDBs) have a significant negative impact on firms. Present study explores the role of employees’ perception of firms’ internal corporate social responsibility (internal CSR) in reducing their intention to engage in WDB. Social exchange theory (SET) and job demand-resource (JD-R) model form the conceptual underpinning of the study.

Hypotheses were developed based on a comprehensive literature review and tested on employees working in various public and private sector organizations in India. AMOS and SPSS PROCESS macro were used to test the conceptual model.

Employees’ perception of firms’ internal CSR reduced their intention to engage in WDB. Occupational strain was confirmed as a mediator in the above mentioned relationship. Further, the study also establishes internal CSR as an antecedent to increased perceptions of procedural justice.

Managers may leverage internal CSR communication as a tool to minimize WDB at the workplace. Moreover, it may also be used to reduce occupational strain and strengthen the perceptions of fairness among employees.

Very limited research is available on internal CSR and WDB. Through this study authors contribute to the nascent literature by affirming the negative relationship between internal CSR and WDB using the SET and JD-R model.

This paper investigates the consequences of job insecurity among hotel employees during the COVID-19 pandemic.

Data were obtained from the employees of two five-star chain hotels in Turkey. The study hypotheses were tested via structural equation modeling.

The research findings demonstrate that job insecurity exacerbates job tension. Job tension erodes employees’ trust in organization and aggravates their propensity to leave work early and be late for work. As hypothesized, job tension mediates the effect of job insecurity on organizational trust and the abovementioned outcomes.

This study adds to the hospitality literature by assessing the interrelationships of job insecurity, job tension, organizational trust and nonattendance intentions.

The purpose of this study is to investigate the phenomenon of defensive biasing in work stress surveys, which occurs when employees trivialize potential stressors and strains due to fear of negative consequences from their supervisors or management. This study aims to better understand the factors that influence this behavior and to develop a scale to measure it.

The study used an online survey of 200 employees to investigate the factors influencing defensive biasing behavior. The researchers developed a scale for defensive biasing with the help of subject matter experts and derived possible factors from the literature. Participants were presented with a hypothetical scenario in which they imagined a work stress survey in their organization and were asked to answer related items. The data were analyzed using regression analysis.

The study found that defensive biasing behavior was significantly predicted by perceived anonymity and neuroticism. Participants who felt less anonymous and had higher levels of neuroticism were more likely to engage in defensive biasing. Job insecurity and trust in supervisors were not found to be significant predictors of defensive biasing.

This study contributes to the literature on work stress surveys by developing a scale for defensive biasing and investigating the factors that influence this behavior. The study highlights the importance of making the survey process more transparent to reduce defensive biasing and obtain trustworthy results.

The COVID-19 pandemic has rapidly accelerated a shift to remote working for previously office-based employees in South Africa, impacting employee outcomes such as well-being. The remote work trend is expected to continue even post the pandemic, necessitating for organizational understanding of the factors impacting employee well-being. Using the Job Demands–Resources model as the theoretical framework, this study aims to understand the role of job demands and resources as predictors of employee well-being in the pandemic context.

A self-administered online survey questionnaire was used to gather quantitative data about remote workers’ (n = 204) perceptions of specifically identified demands, resources and employee well-being. Descriptive statistics, Pearson’s correlation and moderated hierarchical regression were used to analyse the data.

This study found that job demands in the form of work–home conflict were associated with reduced employee well-being. Resources, namely, job autonomy, effective communication and social support were associated with increased employee well-being. Job autonomy was positively correlated to remote work frequency, and gender had a significant positive association to work–home conflict. Social support was found to moderate the relationship between work–home conflict and employee well-being. Findings suggest that organizations looking to enhance the well-being of their remote workforce should implement policies and practices that reduce the demands and increase the resources of their employees. The significant association of gender to work–home conflict suggests that greater interventions are required particularly for women. This study advances knowledge on the role of demands and resources as predictors of employee well-being of remote workforces during COVID-19 and beyond.

This paper provides insight on employee well-being during COVID-19 remote work. Further, the findings suggest that organizations looking to enhance the well-being of their remote workforce should implement policies and practices that reduce the demands and increase the resources of their employees. The significant association of gender to work–home conflict suggests that greater interventions are required particularly for women. To the best of the authors’ knowledge, this is the first study carried out to explore the employee well-being during COVID-19 pandemic and will be beneficial to stakeholders for understanding the factors impacting employee well-being.

The purpose of this study is to determine the effects of the psychosocial work environment on the turnover of civil service cadre officers in rural areas in Bangladesh.

Physical intimidation, mental health and well-being, organisational impediments, decision latitude, psychological job demands and social interaction were developed as variables to examine in relation to job satisfaction and turnover. This study gathers 406 responses from Bangladesh Civil Service (BCS) cadre officers in rural areas to test the hypotheses.

The findings indicate that physical intimidation increases employee turnover, whereas psychosocial job demand decreases it. Physical intimidation reduces job satisfaction, whereas decision flexibility and social interaction enhance job satisfaction, hence reducing the turnover of civil service cadre officers in rural Bangladesh.

This research contributes to the creation of context-specific and targeted public sector support, particularly the interventions and policies addressing the work environment in rural areas.