Analysis of the Intrinsic Structure of Employee Attrition and Performance

Ziyao Zeng () and Yuan Feng ()
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Ziyao Zeng: The Affiliated High School of South China Normal University
Yuan Feng: Northeastern University

A chapter in Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022), 2023, pp 660-668 from Springer

Abstract: Abstract Turnover rate has always been an important indicator used by enterprises to measure the internal flow of human resources, through the examination of the turnover rate, we can understand the attraction and satisfaction of employees. A high turnover rate generally indicates that the company’s employees are more volatile, serious conflicts happened in labor-management relations, and may cause the cohesiveness of the company is reduced, which can lead to an increase in human resources costs and a decrease in the efficiency of the organization. However, it does not mean that the lower the employee turnover rate is the better. In the market competition, maintaining a certain amount of employee turnover can enable the enterprise to use the competitive system of talent competition to keep the vitality and innovation of the enterprise. The purpose of this article is to analyze the data on turnover rates from a variety of perspectives in order to provide better advice at the level of managing the company or at the level of employee career planning.

Keywords: factor analysis; data mining; attrition rate; job satisfaction (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-124-1_75

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DOI: 10.2991/978-94-6463-124-1_75

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