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'Embedded' at hire? Predicting the voluntary and involuntary turnover of new employees

机译:被雇佣“嵌入”?预测新员工的自愿和非自愿离职

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Embeddedness theory has been invoked to describe factors that constrain employee turnover, such as fit with the environment, interpersonal links, and potentially sacrificed benefits. In contrast with previous assumptions that embeddedness requires considerable time to develop on the job, we extend theory by demonstrating how biographical characteristics (i.e., biodata), assessed at or before the point of hire, are related to individual's propensity to be embedded, while also showing how such characteristics predict one's future turnover likelihood. Beyond voluntary turnover, we also build embeddedness-based theoretical explanations for involuntary turnover (i.e., terminations). To test these ideas, we conducted two studies at and before employees' point of hire, respectively: Study 1 examined how assessed biodata items of new employees relate to established embeddedness measures, whereas Study 2 linked the same biodata items assessed during the application process to employees' future involuntary, avoidable voluntary, and unavoidable voluntary turnover. Study 1 results revealed various biodata items predicted embeddedness in two distinct samples. In Study 2, results showed that biodata predicted turnover forms in unique ways. Our study highlights the utility of point-of-hire embeddedness propensity as a means to explain organizational exit, thereby demonstrating how organizations can use embeddedness tenets for employee recruitment and selection purposes.
机译:嵌入式理论已被用来描述限制员工流动的因素,例如适合环境,人际关系以及可能牺牲的利益。与以前的假设-嵌入性需要大量的工作时间来进行发展相反,我们通过证明在聘用点或雇用点之前评估的传记特征(即生物数据)与个人的嵌入倾向如何相关来扩展理论。显示这些特征如何预测一个人未来的营业额可能性。除了自愿离职外,我们还为非自愿离职(即解雇)建立了基于嵌入的理论解释。为了检验这些想法,我们分别在员工聘用之前和之前进行了两项研究:研究1检查了新员工的评估生物数据项目如何与既定的嵌入度相关,而研究2将在申请过程中评估的相同生物数据项目与员工未来的非自愿,可避免的自愿和不可避免的自愿离职。研究1的结果表明,各种生物数据项可预测两个不同样本中的嵌入性。在研究2中,结果表明生物数据以独特的方式预测了营业额的形成。我们的研究强调了雇佣点嵌入倾向作为解释组织退出的一种手段的实用性,从而说明了组织如何将嵌入原则用于员工的招聘和选择。

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