job satisfaction, retirement attitude and intended retirement age: a conditional process analysis across workers’ level of household income

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ID: 145407
2017
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Abstract
In the contemporary workplace, insight into retirement behaviors is of crucial importance. Previous empirical evidence has found mixed results regarding the relationship between work attitudes, such as job satisfaction, and retirement behaviors, suggesting that further scholarly examination incorporating moderating and mediating variables into retirement models is needed. Drawing on comparative models of attitude to retirement, we hypothesized a direct relationship between job satisfaction and intended retirement age for workers with a high household income and an indirect relationship between job satisfaction and intended retirement age, via retirement attitude, for workers with a low or mean household income. We collected data from a sample of 590 United Kingdom workers aged 50+. Using conditional process analysis, we found that the underlying mechanisms in our research model differ according to socio-economic status. We found no direct effect between job satisfaction and intended retirement age. However, an indirect effect was observed between job satisfaction and intended retirement age, via retirement attitude, for both low- and mean-household income individuals. Specifically, the relationship between job satisfaction and retirement attitude differed according to socio-economic group: for high-household income older workers, there was no relationship between job satisfaction and retirement attitude. However, for low- and mean-household income older workers, we observed a negative relationship between job satisfaction and retirement attitude. Otherwise stated, increases in job satisfaction for mean and low household income workers are likely to make the prospect of retirement less attractive. Therefore, we argue that utmost care must be taken around the conditions under which lower income employees will continue their work when getting older in order to protect their sustainable employability.
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davies2017frontiersjob Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Eleanor M. M. Davies;Beatrice I. J. M. Van der Heijden;Beatrice I. J. M. Van der Heijden;Beatrice I. J. M. Van der Heijden;Matt Flynn
Journal accounts of chemical research
Year 2017
DOI
10.3389/fpsyg.2017.00891
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