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Published on 25 October 2024
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Mou,R. (2024). Analysis of the Impact of Employees' Own Indicators on Employee Mobility. Theoretical and Natural Science,51,18-25.
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Analysis of the Impact of Employees' Own Indicators on Employee Mobility

Rongguang Mou *,1,
  • 1 Macao University of Science and Technology

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2753-8818/51/2024CH0150

Abstract

Nowadays, the enterprise employee turnover rate has become an important factor in measuring enterprise knowledge loss, human resource management, enterprise comprehensive competitiveness, and enterprise expenditure. Therefore, as much as possible may affect the enterprise employee turnover data and analyze the influence on employee turnover degree can maintain stable staff and increase its comprehensive competitiveness in the market economy system. Employee mobility is not only affected by corporate and macro environmental factors, such as corporate culture, incentive system, employee relations, economic environment, but also related to employees' factors, such as career development planning, job satisfaction, salary, and burnout. Research on employee mobility and its impression factors should be carried out from multiple aspects and perspectives. This paper refers to the relevant literature on the impression factors of employee mobility in the past, combines the basic data that may affect the employee turnover rate to analyze the Impact of employees' indicators on employee mobility, pre-processes the data, and presents the visual image of the data. And then the paper uses multicollinearity diagnosis to exclude the collinearity influencing variables and conduct a preliminary correlation analysis of the variables. Finally, this text establishes a regression analysis model of the related variables, obtains seven variables related to employee mobility, and gives reasonable suggestions for the enterprise research employee turnover rate.

Keywords

Enterprise employee turnover rate, multiple collinearity, regression model.

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Cite this article

Mou,R. (2024). Analysis of the Impact of Employees' Own Indicators on Employee Mobility. Theoretical and Natural Science,51,18-25.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of CONF-MPCS 2024 Workshop: Quantum Machine Learning: Bridging Quantum Physics and Computational Simulations

Conference website: https://2024.confmpcs.org/
ISBN:978-1-83558-653-2(Print) / 978-1-83558-654-9(Online)
Conference date: 9 August 2024
Editor:Anil Fernando, Marwan Omar
Series: Theoretical and Natural Science
Volume number: Vol.51
ISSN:2753-8818(Print) / 2753-8826(Online)

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