Preprint / Version 1

EMPLOYEE CAREER PLATEAU IN SHANXI, CHINA

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  • LYU XIN INTI

Keywords:

Human resource, Career plateau, factor analysis, career development

Abstract

With the rapid development of economy, complicated environment and increasingly fierce competition. Human resource is becoming the top important resource of companies, which is so important for us to understand and solve the employees’ career plateau. Career plateau is a ―static‖ stage on the career development where work content, responsibility, challenge, and job pressure is relatively static and terminated in individual vocational development. Many types of research have proved that career plateau has a series of negative effects on the development of both employees and the organization. But the existing researches do few on studying the mechanism of action how career plateau is affected. Furthermore, most career plateau influential factor analysis, especially individual factor analysis, remains on the stage of qualitative research.Quantitative research is much less.


Having a good understanding of the influential factor and mechanism of action of career plateau is so important if we want to solve career plateau phenomenon. However, in different human resource management practice, employees’ proactive personality and career adaptability may have a different effect on the career plateau. As a result, this study,propose a model in which proactive personality influence on career plateau. We are trying to use this model to find out the influence that proactive personality and career adaptability have on career plateau, to discuss the mediating role that career adaptability plays between proactive personality and career plateau. Also, the influence of human resource management practice has is also included. People who have a job and still do the job has been chosen as the research object in this study. We used questionnaires to collect the data and have got 332 valid samples eventually. Then SPSS 22.0 has been used to do descriptive statistics, correlation analysis, reliability analysis, regression analysis for data analysis.

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Posted

2022-07-20

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