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This study investigated the relationship between job satisfaction, job‐related stress and intention to leave among audit staff in public accounting firms. Effects of demographic factors on job satisfaction; and the relationship between the elements of two‐factor theory with job satisfaction and job‐related stress were also identified. Data for the study was collected through questionnaires. Statistical analysis such as chi‐square test, factor analysis, correlation analysis and multiple regressions were used. The results indicated that job satisfaction and job‐related stress were significantly related to intention to leave the job. Only demographic factors such as pay or salary, job position and highest education achieved were found to have effect on job satisfaction. Elements of motivators and elements of hygiene were related to job satisfaction and jobrelated stress respectively. The findings of this study may contribute to planning and implementing human resource management’s (HRM) retention strategies. Several suggestions for future research are also presented. If the antecedents of intention to leave can be identified, appropriate HRM practices may minimize dysfunctional turnover of high quality employees.

The purpose of this paper is to advance the research on the relationship between developmental human resource management (HRM) practices and voluntary intention to leave among information technology (IT) professionals from the Indian IT sector by investigating the mediating role of affective commitment.

This study adopted a cross-sectional design at the individual-level of analysis. Data on the study constructs (i.e. developmental HRM practices, affective commitment, and voluntary intention to leave) were collected from 752 IT professionals from 17 Indian IT organizations from the city of Bengaluru through a web-based survey between February 2016 and March 2017. Further, this study used the confirmatory factor analysis technique to establish reliability and construct validity for the study constructs. Furthermore, this study tested the research hypotheses empirically through mediated multiple-regression analysis using the bootstrap procedure.

Empirical results of the present study suggest that espousal of robust developmental HRM interventions enhances affective commitment and significantly attenuates the voluntary intention to leave among employees. Further, the results of this study have indicated that the relationship between developmental HRM practices and voluntary intention to leave was partially mediated by affective commitment.

Past empirical studies on HRM – turnover discourse, in the IT sector, have predominantly examined the direct influence of HRM systems and/or internal labor market strategies on turnover intentions and actual turnover behavior. Rarely have the past studies in the IT domain attempted to examine the intervening role of employee attitudes in the relationship between HRM practices and employee-level outcomes. Addressing this gap, the present study enunciates the critical role of affective commitment and situates it as an important variable that mediates the relationship between developmental HRM practices and voluntary intention to leave among IT professionals in India.

Although employee relations are recognised as important mechanisms for initiating organisational competitiveness and output, existing research has focused primarily on how these relations embed employees’ job and performance, rather than on the declining outcomes from such relations. This paper aims to integrate research on co-worker relations at workplace and cynicism with social exchange as a theoretical grounding to propose a process model that focuses on how employees’ positive relationship at workplace impacts negatively on their cynical behaviours in organisation leading to their intention to stay rather than their intention to leave.

This study offers a conceptual analysis and a review of the literature to explain employees’ behavioural intentions which may lead to their psychological threat or psychological safety in work organisations.

This work positions cynicism as psychological threat that moderates and predicts the likelihood that negative relations at workplace will actively engage employees’ intention to leave the organisation. Similarly, the model positions job satisfaction and commitment as psychological safety that predicts the likelihood that positive relations at workplace will engage employees’ intention to stay. The outcome of this study is the creation of a model which provides a comprehensive methodological framework for conducting behavioural research.

This is a conceptual paper.

This study has major implications for managing and communicating with workers, as well as organisational socialisations and practices related to co-worker relations for effective human resource management practices from both managerial and practitioner perspective.

This work has been able to create a theoretical framework that provides an understanding for management to learn from its end-state competencies and contributions. By this, the model created would enable research to examine the empirical relationship between co-worker relations, cynicism and intention to leave. Thus, the contribution of this paper identifies the roles that management and organisational leadership can play in the practice of employee behavioural intentions.

This study examines the effect of three negative behaviors namely alienation behavior, cynicism behavior and silence behavior on employees’ intention to leave work in the telecommunication sector in the Sultanate of Oman.

Using a simple random sampling technique, data was collected using a questionnaire from 204 employees working in two leading telecommunication service providing agencies (Omantel and Ooredoo) in Oman. The collected data was analyzed using structural equation modeling (SEM) through AMOS software.

The findings of the study indicate a significant effect of both cynicism behavior and work alienation behavior on employees’ intention to leave work while silence behavior did not appear to affect employees’ intention to leave work.

The research suggests that the policymakers are required to take corrective measures and implement policies and work practices that ensure employees’ sincere engagement to work.

The findings contribute to the knowledge regarding the effect of employees’ negative behavior on the intention to leave work. The work is novel in the context of studying the effect in the Sultanate of Oman.

The purpose of this paper is to investigate the extent to which the influence of professional commitment on intention to leave a profession is contingent on the combined effect of job search and sportsmanship.

The research is based on a sample of professional employees (N = 327). Moderated moderation was the approach used for testing the hypotheses.

Findings showed that the moderating effect of job search on the relationship between professional commitment and intention to leave a profession is higher at a low level of sportsmanship and lower when sportsmanship is high.

The research indicates that job search does not necessarily constitute a sign of acceleration of intention to leave one’s profession. In the case of professionals expressing a high level of sportsmanship, job search appears more like a precaution.

Identifies workers′ burnout as an important factor influencing productivity, commitment, and intentions to leave a job, which disrupt organizational operation and costs. Examines the relationship between the burnout of female school teachers and its effect on their intentions to leave their jobs. Based on a comparative analysis of three measures of burnout, shows two major findings. First, the best burnout predictor of intention to leave a job was obtained when 21 items measuring burnout level were factorily analysed and consolidated into three factors, which were then employed as independent variables in a regression analysis. This was superior to the utilization of the mean score of the 21 items or to a single direct measure. Explained variances were 66.5 per cent, 55.7 per cent, and 44.5 per cent, respectively. Second, a more detailed identification of types of burnout obtained by the first method showed that physical and mental burnout components are significant in explaining workers′ intention to leave, while emotional burnout was not. Discusses the crucial importance of accurate identification of burnout components and their dimensions with regard to management strategies to prevent and/or provide treatment for workers suffering from burnout.

While there is ample discussion in management studies and organizational behavior textbooks about the factors that impact organizational outcomes, such as employee retention, this research is focused on exploring the previously unexplored question of how procedural justice, job characteristics and meaningful work influence employees' intentions to leave their organizations. As such, this study aims to investigate the impact of procedural justice on employees' intentions to leave, both independently and in conjunction with job characteristics and meaningful work as mediators.

This study uses partial least squares structural equation modeling (PLS-SEM) to develop the research model and for hypothesis testing. The path model is assessed using critical model fit indices and measures of goodness of fit.

The results reveal a negative relationship between procedural justice and employees’ intentions to leave. This negative relationship persists and is strengthened when both job characteristics and meaningful work act as mediators. Although job characteristics only exerted a significant effect through indirect effects, meaningful work demonstrated a significant negative impact on the intentions to leave through both direct and indirect effects.

This study presents a new perspective on employee retention by proposing an original mediation-based path model. Through the testing of eleven hypotheses, the study reveals the intricate relationships between the four constructs examined. The findings provide valuable insights that can serve as a basis for future research in management studies and organizational behavior.

Although the proliferation of research in emotional intelligence (EI) in the last 25 years has largely focused on the individual level, some researchers have proposed theories and measurement models for EI at the organizational level. Drawing from earlier work which conceptualizes organizational emotional intelligence (OEI) as a climate-level construct involving shared norms and practices this chapter sets out to investigate the relationship between perceptions of organizational emotional intelligence (OEI) and turnover intentions amongst employees. Since turnover intentions are a reliable indicator of actual turnover they are deemed to be a critical indicator for organizational performance. This chapter also builds on previous research which found that the relationship between OEI as a climate-level construct and intention to leave was mediated by organizational emotional appeal (i.e., overall reputation) and trust in senior management to explore the mediating role of other employee attitudes which have been traditionally linked to climate and individual-level outcomes in organizations, namely job satisfaction and affective commitment. By surveying employees in a UK-based charity organization (n = 173), the study finds that both job satisfaction and affective commitment mediate the impact of OEI on intention to leave and explain a moderate amount of variance in the focal construct. However, the majority of the mediation occurs through job satisfaction with a reduced mediation effect for affective commitment. Potential reasons for these results in the charity context are discussed. The chapter contributes to a wider understanding of the way in which perceptions of OEI impact on employee attitudes toward the organization and the job; and, in turn, how these attitudes impact on turnover intentions.

Turnover in high-tech companies has long been a concern for managers and executives. Recent meta-analyses from the general turnover literature consistently show that job satisfaction is a major attitudinal antecedent to turnover intention and turnover behavior. Additionally, the available research on information technology (IT) employees focuses primarily on turnover intentions and not on a risky decision-making perspective and actual turnover (turnover behavior). The paper aim is to focus on that.

This study uses hierarchical ordinary least squares, process (Preacher and Hayes, 2004) and logistic regression.

The main predictor of actual turnover is risky decision-making, whereas job satisfaction is the main predictor of turnover intention.

The joint effects of risk and job satisfaction on turnover intention and behavior have not been studied in the IT domain. Hence, this study extends our understanding of turnover in general and particularly among IT employees by studying the combined effect of risk and job satisfaction on turnover intentions and turnover behavior. The study’s theoretical and practical implications are likewise discussed.

The study's objective is to estimate the association of specific perceived employer-provided benefits on employees' intention to leave in different age cohorts during coronavirus disease 2019 (COVID-19). Informed by the psychological theories of ageing, the authors propose three age-cohort-specific hypotheses in three motivational domains: security and health benefits, flexible work arrangement and education-related benefits.

The authors use a large survey of employees in Estonia (n = 7,209) conducted in 2020 and test the association of specific benefits and their interactions with age on employees' intention to leave.

The results show that older cohorts are generally less prone to leave their jobs. Benefits that employers could use during the COVID-19 crisis generally had negative associations with the intention to leave, but age-specific differences were negligible; only the perceived provision of flexible work arrangements reduced the younger cohort's intention to leave relatively more.

This study is one of the few that allows us to make inferences regarding the benefits preferences amongst the working population during an unprecedented health crisis.