Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)

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Analysis of the Intrinsic Structure of Employee Attrition and Performance

Authors
Ziyao Zeng1, Yuan Feng2, *
1The Affiliated High School of South China Normal University, Guangzhou, China
2Northeastern University, Boston, USA
*Corresponding author. Email: feng.yuan2@northeastern.edu
Corresponding Author
Yuan Feng
Available Online 29 March 2023.
DOI
10.2991/978-94-6463-124-1_75How to use a DOI?
Keywords
factor analysis; data mining; attrition rate; job satisfaction
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.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)
Series
Advances in Economics, Business and Management Research
Publication Date
29 March 2023
ISBN
10.2991/978-94-6463-124-1_75
ISSN
2352-5428
DOI
10.2991/978-94-6463-124-1_75How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Ziyao Zeng
AU  - Yuan Feng
PY  - 2023
DA  - 2023/03/29
TI  - Analysis of the Intrinsic Structure of Employee Attrition and Performance
BT  - Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)
PB  - Atlantis Press
SP  - 660
EP  - 668
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-124-1_75
DO  - 10.2991/978-94-6463-124-1_75
ID  - Zeng2023
ER  -