Suchergebnisse

Purpose
The purpose of this paper is to examine relationships between work organisation, bullying and intention to leave (ITL) in the Australian hospitality industry, using pressure, disorganisation and regulatory failure (PDR) to measure work organisation.


Design/methodology/approach
Cross-sectional survey data were collected from 72 workers in Australian accommodation hotels. They were aged 20-65 years (M=38.26, SD=12.60) and 57.1 per cent were female. The proposed path model was tested with the Mplus (v.7) statistical package using Hayes' (2009) procedure for mediation analysis.


Findings
There were positive bivariate correlations between all variables. The path model indicated that disorganisation and regulatory failure had direct positive associations with bullying. Financial pressure and bullying had direct positive associations with ITL.


Research limitations/implications
The small sample may not be representative and the cross-sectional design and self-report data risk common method variance effects and preclude attributions of causality. Future studies should use more representative samples and longitudinal designs to address common method variance issues and facilitate causal inferences.


Originality/value
Bullying and turnover are significant problems in the hospitality industry, but the contribution of work organisation variables is poorly understood. The present study provides promising preliminary evidence on the potential role of PDR as an antecedent of both bullying and ITL.

AbstractRetirement planning is a widely promoted activity to enhance wellbeing for aging populations. However, there is limited follow-up data to understand the antecedents of multi-dimensional retirement planning activities, the resources such activities produce or the explanatory mechanisms. This research draws on recent theorizing, which suggests that retirement planning may play a mediating role in explaining how pre-retirement antecedents are transformed into retirement resources. Antecedents, planning and retirement resources were examined using 3 waves of follow-up data collected in 2006, 2008, and 2014. Four hundred thirty-five people originally employed in 2008 and retired by 2014 participated in the study. Health, income, and a positive retirement attitude (T1) were the strongest predictors of retirement planning (T2), but job satisfaction and occupation also played smaller predictive roles. Financial planning (T2) predicted health, psychosocial, and financial resources in retirement (T3). However, health, lifestyle, and psychosocial planning played a minimal role in explaining retirement resources, and only financial planning demonstrated noteworthy evidence of mediation. Findings can help to inform policy decisions by identifying those at greatest risk of not planning, and to isolate the factors most likely to explain the longer-term effects of planning. Understanding which resources are predicted by different domains of planning will also help inform the targeting of interventions.