Asian Journal of Management, Entrepreneurship and Social Science
Vol. 3 No. 04 (2023): November, Asian Journal of Management, Entrepreneurship and Social Science

The Influence of Career Development and Workload on Turnover Intention with Job Satisfaction as a Mediator

Fitri Rezeki (Universitas Pelita Bangsa)
Nasrun Baldah (Pelita Bangsa)
Fachrurazi Fachrurazi (IAIN Pontianak)
Preatmi Nurastuti (Pelita Bangsa)
Yunita Ramadhani RDS (Pelita Bangsa)



Article Info

Publish Date
12 Dec 2023

Abstract

This research investigates the dynamics of Career Development, Job Satisfaction, Workload, and their impacts on Turnover Intention among employees. Through hypothesis testing and statistical analysis, significant insights into the relationships between these variables are uncovered. Firstly, Career Development is found to have a substantial positive influence on Turnover Intention, emphasizing the importance of providing avenues for career growth and advancement within organizations. Additionally, Job Satisfaction emerges as a critical factor, significantly mediating the relationship between Workload and Turnover Intention. The study also reveals a strong association between Job Satisfaction and Turnover Intention, underlining the pivotal role of employee contentment in mitigating turnover rates. These findings provide valuable guidance for organizations seeking to optimize their human resources management strategies, emphasizing the importance of fostering career development opportunities and prioritizing employee satisfaction to enhance overall retention efforts.

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Journal Info

Abbrev

ajmesc

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

Description

Asian Journal of Management, Entrepreneurship and Social Science (AJMESC) is a high quality open access peer reviewed research journal. providing a platform for the researchers, academicians, professional, practitioners and students to impart and share knowledge in the form of high quality empirical ...