Affective Experiences as a Meditational Variable in Voluntary Turnover Intentions of Nurses

2009 ◽  
Author(s):  
Stephanie E. Granda ◽  
David C. Munz ◽  
Larissa K. Barber ◽  
Matthew J. Grawitch
Work ◽  
2021 ◽  
pp. 1-19
Author(s):  
Evy Rombaut ◽  
Marie-Anne Guerry

BACKGROUND: There is a growing interest in HR-analytics because of its ability to analyze employee behavior based on HR data. Predicting voluntary turnover of employees is an important topic of study, both in academia and industry. OBJECTIVE: The current study analyzes determinants for turnover, distinguishing between blue and white collar workers. The turnover analyses are based on a dataset from a payroll company, in contrary to previous turnover studies that used survey and interview data. METHODS: The studied dataset contains demographic and work specific factors for more than 380000 employees in 15692 Belgian corporations. Logistic regression is used to estimate individual turnover probabilities, the goodness of the model is tested with the AUC method. RESULTS: The study confirms turnover determinants and differences between blue and white collar workers that were described in previous work based on survey and interview data. Additionally, the study exposes so far unstudied turnover determinants and differences between blue and white collar workers. Confirmed determinants are among others age, seniority, pay and work distance. New determinants are company car, meal vouchers, night work and sickness. Different relationships to turnover are revealed for blue and white collar workers based on gender, number of children, nationality and pay. CONCLUSIONS: The presented dataset-based approach has its merit in analyzing turnover: it enables to study actual turnover instead of turnover intentions, and reveals new turnover determinants and differences between blue and white collar workers.


2021 ◽  
pp. 0143831X2110172
Author(s):  
Nick Brander-Peetz ◽  
David Peetz ◽  
Paula Brough

Staff loss and demotivation can be costly for unions. In this article the authors investigate factors influencing expected voluntary turnover, that is Intention to Leave (ITL), of union employees by conducting an online survey of 160 staff in three Australian unions. Moderated multiple regression analyses revealed that perceived organisational support, shortcomings in training and unmet intrinsic needs predicted ITL, after controlling for burnout, labour market mobility and intrinsic motivations. Critically, the results suggest an interaction effect involving training in some circumstances. Training buffered the impact of low support on ITL, however the adverse effect on ITL of organisational failure to meet staff expectations regarding service to members remained, independent of training. Implications for theory and practice are discussed, including the separate significance of resources and purpose.


2020 ◽  
Vol 12 (3) ◽  
pp. 954 ◽  
Author(s):  
Mehmet Nurettin Uğural ◽  
Heyecan Giritli ◽  
Mariusz Urbański

The voluntary turnover rate of qualified professionals is both a critical issue and a priority issue that affects organizations in different ways. The construction industry has a set of very specific and unique characteristics that demarcates it from all other sectors. This situation is related with strong precariousness and employee turnover, as well as the extensive practice of subcontracting. Furthermore, the construction sector, with its project-based production, is more vulnerable to voluntary turnover intention. Therefore, we aimed, in this study, to determine the key factors that contribute to the voluntary turnover intentions of qualified construction professionals. In this paper, the impact of individual-level value orientations on turnover intention in the construction settings, focusing on the mediating effect of external prestige and organizational identification, are investigated. Structural Equation Modeling (SEM) is employed to estimate the causal relationships between the turnover intention and other research variables. The analyses are based on questionnaire responses from 441 construction professionals living in Istanbul. The findings indicate that an individual difference in the self-construal is related to turnover intention indirectly by virtue of employees’ perceptions of organizational prestige. Organizational identification also partially mediated the relationship between the self-construal and the turnover intention.


2016 ◽  
Vol 15 (4) ◽  
pp. 174-183 ◽  
Author(s):  
Debora E. Purba ◽  
Janneke K. Oostrom ◽  
Marise Ph. Born ◽  
Henk T. van der Molen

Abstract. This study investigated the mediating effect of on-the-job embeddedness on the relationship between trust in supervisor and turnover. Survey data were collected among 471 employees of a restaurant chain in Indonesia. Results showed that job embeddedness mediated the relationship between trust in supervisor and turnover intentions. Turnover intentions were positively correlated with actual voluntary turnover 15 months later. The results confirmed that the trustworthiness of supervisors affects the quality of the relationships between supervisors and employees. Hence, low levels of trust must be addressed as soon as possible in order to maintain a healthy environment in which employees are able to develop their job embeddedness.


2012 ◽  
Vol 2012 (1) ◽  
pp. 15031
Author(s):  
James M. Vardaman ◽  
David G. Allen ◽  
Shannon G. Taylor ◽  
Maria B Gondo

Author(s):  
Stella Ribeiro ◽  
Anita Bosch ◽  
Jurgen Becker

Orientation: Most CEOs in South Africa are chartered accountants (CAs). Retaining women CAs might therefore lead to an increase in women in leadership. The Job Demands-Resources model presents a framework to investigate organisational job-related factors that promote or deter voluntary turnover of women CAs.Research purpose: The primary objective was to investigate which organisational factors promote or reduce the risk of turnover intentions for South African women CAs. The secondary objective was to investigate the moderating potential of job resources on the relationship between job demands and turnover intentions.Motivation for the study: There is a fair amount of research on the problems associated with the retention of women CAs in public practice but very little is known about how those problems interact with each other, and whether there are factors that could buffer them.Research design, approach, and method: The study consisted of a sample (n = 851) of women CAs in public practice firms nationally in South Africa. We used structural equation modelling together with moderated regression analysis.Main findings: Job demands promote turnover intentions, whereas job resources have a negative effect on turnover intentions. Counter-intuitively a negative direct effect was found between job insecurity and turnover intentions. Statistical support was found for the moderating role of all job resources, except financial advancement, on the relationship between work–family conflict and turnover intentions; and growth opportunities, on the relationship between job insecurity and turnover intentions.Practical/managerial implications: No job resource measured could buffer the impact of job overload on turnover intentions.Contribution: This is the first study to investigate factors that may retain women CAs in public practice audit, tax, and advisory firms (Big Four Accountancy Firms) using the JD-R model. Few studies have investigated the buffering effect of job resources on the relationship between job demands and turnover intentions in general.Keywords: gender; auditing; voluntary turnover; female; moderate; JD-R model


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