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George Mason University

Applying the Unfolding Model of Turnover and Job Embeddedness to the Retirement Decision Process

Abstract

By 2016, over 23% of the workforce is expected to be 55 and older (Toossi, 2007), within the timeframe in which they will consider leaving the workforce, to retire, thus creating a potential crisis for employers. This creates an urgent need to understand how employees decide when to retire. By understanding the retirement decision-making process, organizations can help to retain employees for a longer period of time while planning their workforce accordingly. In this dissertation, I present a model outlining the retirement decision process. This model contributes to the retirement literature on how retirees follow different paths in the decision-making process leading to retirement. This new model, based on the unfolding model of turnover (T. W. Lee & Mitchell, 1994) accounts for more contextual factors that have proved more difficult to assess in traditional retirement research and includes a newer construct, job embeddedness, which plays a role in the retirement decision-making process.

Author and committee

dc:creator, dc:contributor.*
Author
  • Bennett, Tiffany M.

Subjects

dc:subject × 4

Identifiers

dc:identifier.*
Identifier
hdl:1920/6036
OAI identifier oai:identifier
oai:MARS:1920/6036

Chain of custody

source
Harvested from
George Mason University
Base URL
mars.gmu.edu/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Bennett, Tiffany M.. Applying the Unfolding Model of Turnover and Job Embeddedness to the Retirement Decision Process. 2010.