Predicting retirement decision: a meta-analytic review

Yujie Zhan, Songqi Liu, Lauren A. Murphy, Mo Wang, Todd Bodner, Zheyu Zhang

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

This meta-analytic review aimed to summarize the existing studies on predicting employees¡- retirement decision. Based on the life course perspective, we examined four categories of predictors, including individual characteristics, job-related variables, retirement attitude, and family-related variables. We further tested operationalization of criterion, retirement timing, and research design as study-level moderators of all predictive relationships. Twenty-four empirical studies with 28 samples were identified (N = 17,537). The analysis revealed that all predictors except gender and preretriement salary were significantly related to retirement decision, and their predictive effects varied across different types of retirement decision criteria. Potential implications and limitations were discussed.

Original languageEnglish
DOIs
Publication statusPublished - Dec 2009
Externally publishedYes
EventAnnual Meeting of the Academy of Management 2009 - Chicago, United States of America
Duration: 7 Aug 200911 Aug 2009
Conference number: 69th

Conference

ConferenceAnnual Meeting of the Academy of Management 2009
Abbreviated titleAoM 2009
CountryUnited States of America
CityChicago
Period7/08/0911/08/09

Keywords

  • Life course perspective
  • Meta-analytic reivew
  • Retirement decision

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