Adiamento da aposentadoria e o significado do trabalho para servidores de uma universidade federal

Abstract

This study investigated the intention of the older workers to continue working after state pension age/time. On this way, it explores the relation between this intention and factors related with the meanings of the work and retirement. Specifically, it was examined that factors related to work and non-work are predictors of the intention to continue working, and it was explored if meanings of retirement are linked to this decision. It is a crosssectional mixed methods study, using a survey conducted with 283 federal civil servants of a federal Northeastern University which were near retirement. It envolved an on-line questionnaire, with open-ended questions and the likert-type scale "Older Worker's Intention to Continue Working" (OWICW) of Shacklock and Brunneto (2011), which was validated to the Brazilian version. The quantitative data were analyzed using descriptive and multivariate statistics, specifically procedures for comparing means and coefficients of multiple logistic regression. The qualitative data were analyzed using the lexicographical technique Descending Hierarchical Classification. The findings indicate that most participants want to continue in paid work, and that perception of personal autonomy at work, interpersonal relationships at work, interests outside of work, and flexible working arrangements are significant predictors of intention to continue working. Furthermore, the perception of personal autonomy at work, flexible working arrangements, and the financial incentives are predictors of decision to postpone retirement and remain in the organization. The analysis revealed five patterns of meanings of retirement: "worker's right", "resting", "idle time at home", "new stage in the life course", and "enjoy the use of time”. The decision to postpone retirement is linked to idleness and lack of substitutionary activities work, and the decision to stop working linked to retirement as a life with more quality. The study provides information that can contribute with management policies before the process of retirement decision.