Applying the Unfolding Model of Turnover and Job Embeddedness to the Retirement Decision Process
| dc.contributor.advisor | Tetrick, Lois E. | |
| dc.contributor.author | Bennett, Tiffany M. | |
| dc.creator | Bennett, Tiffany M. | |
| dc.date | 2010-10-01 | |
| dc.date.accessioned | 2010-11-10T16:10:42Z | |
| dc.date.available | NO_RESTRICTION | |
| dc.date.available | 2010-11-10T16:10:42Z | |
| dc.date.issued | 2010-11-10 | |
| dc.description.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. | |
| dc.identifier.uri | https://hdl.handle.net/1920/6036 | |
| dc.language.iso | en_US | |
| dc.subject | Retirement | |
| dc.subject | Unfolding model | |
| dc.subject | Job embeddedness | |
| dc.subject | Bridge employment | |
| dc.title | Applying the Unfolding Model of Turnover and Job Embeddedness to the Retirement Decision Process | |
| dc.type | Dissertation | |
| thesis.degree.discipline | Psychology | |
| thesis.degree.grantor | George Mason University | |
| thesis.degree.level | Doctoral | |
| thesis.degree.name | Doctor of Philosophy Psychology |