Objectives The purpose of this mixed methods study was to examine the quality of work life of registered nurses working in obstetrics at 4 hospitals in northeastern Ontario and explore demographic and occupational factors related to nurses’ quality of work life (QWL). Material and Methods A stratified random sample of registered nurses (N = 111) selected from the 138 eligible registered nurses (80.4%) of staff in the labor, delivery, recovery, and postpartum areas at the 4 hospitals participated. Logistic regression analyses were used to consider QWL in relation to the following: 1) demographic factors, and 2) stress, employment status and educational attainment. Results In the logistic regression model, the odds of a higher quality of work life for nurses who were cross trained (nurses who can work across all areas of obstetrical care) were estimated to be 3.82 (odds ratio = 3.82, 95% confidence interval: 1.01–14.5) times the odds of a higher quality of work life for nurses who were not cross trained. Conclusions This study highlights a relationship between quality of work life and associated factors including location of cross-training among obstetrical nurses in northeastern Ontario. These findings are supported by the qualitative interviews that examine in depth their relationship to QWL. Given the limited number of employment opportunities in the rural and remote regions, it is paramount that employers and employees work closely together in creating positive environments that promote nurses’ QWL.
Aim/purpose – This study explores the crucial link between the quality of work life (QWL) and subjective well-being (SWB) among aviation industry employees. By delving into the current state of QWL and its relationship with key aspects of SWB, such as life satisfaction, positive affect, and negative affect, this research aims to offer valuable insights that can help employee well-being and job satisfaction in the aviation industry. Design/methodology/approach – A sample of 350 employees, including front-line executives such as cabin crew, airport staff, cargo handlers, and administrative personnel from the aviation industry, was selected for the study. The path analysis method was employed to develop and evaluate a model that links QWL with SWB and its dimensions, using SEM through AMOS version 20.0. Findings – The study found that six aspects of QWL, namely: (1) support from manager/supervisor, (2) freedom from work-related stress, (3) salary and additional benefits, (4) job satisfaction, challenge, use of skills, and autonomy, (5) relationships with colleagues, and (6) communication, decision-making, and job security, are positively correlated with SWB. However, one aspect ‒ involvement and responsibility at work ‒ was found to have a negative association with SWB. The results demonstrated that most of the model’s indicators were appropriate, confirming the model’s fitness. It was concluded that QWL is a significant antecedent that affects SWB. Research implications/limitations – There is a dearth of links between the concepts of QWL and SWB in the aviation industry. The sample is related to NCR (India), and it is recommended that the relationship between QWL and SWB in these findings be extended to other professionals and non-professionals employed in different industries. Originality/value/contribution – The study has formed a comprehensive model connecting QWL and SWB. This study offers a fresh perspective on best management practices to encourage the implementation of QWL, which further affects SWB in the aviation industry.
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The success of any organisation is dependent on how effectively it attracts recruits, and the manner in which it motivates and retains its workforce. To cope up with the current situations, managements must be flexible enough in dealing with their workforce and ensure loyalty in their employees. In order to satisfy the employees and achieve organisational goals, the management must adopt new approaches to improve the quality of work life of employees. This paper aims to measure the factors influencing the quality of work life and the impact of quality of work life on employees’ performance. A sample of 150 employees from a textile industry was selected and the study reveals that organisational culture, training and development, compensation and rewards, and job satisfaction differ from department to department, which have great impact on the quality of work life of employees. The positive finding in this study is that there is a healthy relationship among the subordinates and superiors which leads to effective communication and cooperation. Thus, quality of work life of employees has a positive impact on productivity of the employees.
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