Modeling of Job Tenure: Insights from Russia

Fengchen Wang, William Attatsitsey, R. Littrell, N. Volkova
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Abstract

; Over the years, both business practitioners and social scientists have been concerned about employee turnover. Several attempts to estimate the job tenure of an individual given specific criteria have been made as a result of this. An index called "job tenure" shows how stable a person's employment is over time. One measure of loyalty in the workplace is length of employment. Employee pleasure is reflected in loyalty, which raises productivity and, in turn, increases business profitability. With the aid of the categorical regression model with optimal scaling technique (CATREG) and CV data from HeadHunter, the largest job board in Russia, this study uses data from Russia and takes into account the employee's age, gender, and educational levels to build a model that anticipates their employment tenure. Our findings make it abundantly evident that, in the case of the Russian labor market, the older the job seeker or an employee is and the better educational level they possess, the longer employment duration may be anticipated within an organization.
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工作任期的建模:来自俄罗斯的见解
;多年来,商业从业者和社会科学家都在关注员工流失问题。因此,在给定具体标准的情况下,曾多次尝试估计个人的工作任期。一项名为“工作任期”的指数显示了一个人的工作在一段时间内的稳定性。在职场衡量忠诚度的一个标准是工作时间长短。员工的快乐反映在忠诚度上,从而提高生产率,进而增加企业的盈利能力。本研究利用俄罗斯最大的求职网站HeadHunter的简历数据,利用最优缩放技术(CATREG)的分类回归模型,并考虑员工的年龄、性别和教育水平,构建了一个预测其雇佣任期的模型。我们的研究结果充分表明,在俄罗斯劳动力市场的情况下,求职者或雇员的年龄越大,他们拥有的教育水平越高,在组织内的就业持续时间可能越长。
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