This study has been carried out in the pursuit of exploring key human resource management (HRM) practices and work-life balance in the Indian hospitality industry in relation to its impact on frontline employee's turnover intention. A total of 271 responses were collected from frontline employees through questionnaire. Using partial least square (PLS) path modelling the hypotheses were tested. Results indicated that better perception of HRM practices has negative influence on frontline employee intention to quit. Work-life balance acts as a significant moderator in the relationship between certain HRM practices namely training, career growth opportunity and compensation and turnover intention.
The environment of workplace has received much attention in research in human resource literature. However, its impact on employee's behavior such as stress has not been established widely. This research explores the relationship between stress and organizational climate among employees of a large manufacturing organization. A sample of 625 employees was selected using convenience sampling method to measure the level of occupational stress and organizational climate. Pearson's correlation coefficient was computed to study the relationship between the two variables. To identify the predictors of occupational stress with organizational climate as a criterion, stepwise regression analysis was calculated. The findings indicate that there exists a negative significant correlation between the two variables under study. Regression analysis reveals that support system, decision-making, motivational level, and warmth as climate factors, significantly predict occupational stress. The findings are significant for management practitioners, organizational psychologists, and human resources personnel since it empirically directs them to focus on diagnosing the climate of the organization, especially giving importance to strengthen the support system and empowering employees with decision-making power which, if neglected, may cause stress to employees.
Over the few decades we have seen significant changes in the global economy and, correspondingly, to the nature of work. The emergence of a number of middle-income countries (MICs), such as China and India, on to the global economic stage has drawn millions of workers into the global labour market. Yet the rapid economic growth of these MICs raises a number of questions about type and quality of employment that is being created in these countries and what this means for the health and well-being of those living and working there. The aim of this chapter is to explore the trends in work and employment in the rapidly developing MICs (Brazil, China, India, Indonesia, Mexico and the Russian Federation). The data show we can see a number of common trends across the MICs. All have undergone some form of structural transformation which has seen employment in agriculture decline and employment in the service sector grow. However, this has not necessarily led to the growth of good quality jobs. Indeed, the data point to rising unemployment in some MICs and the persistence of a high rates of employment in the informal sector. Moreover, there are worrying signs that gender inequalities in labour market participation are widening in a number of MICs. There are concerns that these trends could lead to an increase in work-related disability and poor health across the developing countries.
Over the few decades we have seen significant changes in the global economy and, correspondingly, to the nature of work. The emergence of a number of middle-income countries (MICs), such as China and India, on to the global economic stage has drawn millions of workers into the global labour market. Yet the rapid economic growth of these MICs raises a number of questions about type and quality of employment that is being created in these countries and what this means for the health and well-being of those living and working there. The aim of this chapter is to explore the trends in work and employment in the rapidly developing MICs (Brazil, China, India, Indonesia, Mexico and the Russian Federation). The data show we can see a number of common trends across the MICs. All have undergone some form of structural transformation which has seen employment in agriculture decline and employment in the service sector grow. However, this has not necessarily led to the growth of good quality jobs. Indeed, the data point to rising unemployment in some MICs and the persistence of a high rates of employment in the informal sector. Moreover, there are worrying signs that gender inequalities in labour market participation are widening in a number of MICs. There are concerns that these trends could lead to an increase in work-related disability and poor health across the developing countries.
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