{"id":{"repo_id":"unt","oai_identifier":"info:ark/67531/metadc4370"},"canonical_url":"https://search.dev.ndltd.org/etd/unt/info:ark/67531/metadc4370","repository":{"repo_id":"unt","name":"University of North Texas","base_url":"https://digital.library.unt.edu/oai/"},"display":{"title":"Job Embeddedness as a Predictor of Voluntary Turnover: Validation of a New Instrument","abstract":"Voluntary turnover has become a problem for many organizations in today's society. The cost of this turnover reaches beyond organizational impact, but also affects the employees themselves. For this reason, there has been a plethora of research conducted by both academicians and practitioners on the causes and consequences of voluntary turnover. The purpose of this study is to test the validity and generalizability of the job embeddedness model of voluntary turnover to the information technology (IT) industry. The IT field has been plagued with high turnover rates in recent years. In this study, the job embeddedness model (Mitchell et al., 2001) is applied to a population sample consisting of health care information technology employees.","abstract_html":"Voluntary turnover has become a problem for many organizations in today's society. The cost of this turnover reaches beyond organizational impact, but also affects the employees themselves. For this reason, there has been a plethora of research conducted by both academicians and practitioners on the causes and consequences of voluntary turnover. The purpose of this study is to test the validity and generalizability of the job embeddedness model of voluntary turnover to the information technology (IT) industry. The IT field has been plagued with high turnover rates in recent years. 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The purpose of this study is to test the validity and generalizability of the job embeddedness model of voluntary turnover to the information technology (IT) industry. The IT field has been plagued with high turnover rates in recent years. In this study, the job embeddedness model (Mitchell et al., 2001) is applied to a population sample consisting of health care information technology employees."],"dc:format":["Text"],"dc:identifier":["oclc: 54432101","untcat: b2580586","doi: 10.12794/metadc4370","https://digital.library.unt.edu/ark:/67531/metadc4370/","ark: ark:/67531/metadc4370"],"dc:language":["English"],"dc:publisher":["University of North Texas"],"dc:rights":["Use restricted to UNT Community","Copyright","Besich, John S.","Copyright is held by the author, unless otherwise noted. 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