Voluntary employee attrition. Descriptive and predictive analysis

R. Caplescu, M. Ilie, V. Strat
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引用次数: 2

Abstract

Abstract Voluntary attrition represents the percent of employees voluntarily leaving a company. Counteracting this phenomenon with hiring new employees has a great negative impact on the company for several reasons. Firstly, it hinders timely delivery of current projects and, consequently, damages reputation and diminishes client portfolio. Secondly, it increases costs by generating the need for many recruitment specialists. Thus, adapting the HR strategy is essential, especially as increasingly more Millennials enter the labor market. The present paper aims at presenting options for studying voluntary attrition and the situations when they can be used. We indicate both descriptive methods (turnover and retention rates, cohort analysis), in order to present tools that any HR manager can easily employ, and predictive methods (logistic regression, survival analysis), which are more accurate and provide more actionable insight towards minimizing attrition, but require data and skills. The results are presented comparatively, highlighting the advantages and disadvantages of each category. Most literature focuses on a single method, thus the main contribution of this article is that it compares several methods, allowing for an informed decision of the HR specialist, depending on the company’s resources, personnel qualification and specific context.
自愿离职。描述性和预测性分析
自愿离职率是指员工自愿离开公司的百分比。通过雇佣新员工来抵消这种现象对公司有很大的负面影响,原因如下。首先,它阻碍了当前项目的及时交付,从而损害了声誉并减少了客户的投资组合。其次,它产生了对许多招聘专家的需求,从而增加了成本。因此,调整人力资源战略至关重要,尤其是随着越来越多的千禧一代进入劳动力市场。本文的目的是提出研究自愿减员的备选办法以及可以使用这些办法的情况。我们指出了描述性方法(流失率和保留率,队列分析),以便提供任何人力资源经理都可以轻松使用的工具,以及预测性方法(逻辑回归,生存分析),这些方法更准确,并提供更可行的见解,以尽量减少人员流失,但需要数据和技能。结果进行了比较,突出了每一类的优缺点。大多数文献都集中在一种方法上,因此本文的主要贡献在于它比较了几种方法,允许人力资源专家根据公司的资源、人员资格和具体情况做出明智的决定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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