Proceedings of the 2024 4th International Conference on Business Administration and Data Science (BADS 2024)

The relationship between job reward satisfaction and job performance of knowledge-based employees

Authors
Yufen Jin1, Xiaorui Zhu1, *, Wei Liu2, Lianbin Du3, Yan Tan4, Changping Wang5
1Hebei University of Science and Technology, Shijiazhuang, China
2Beijing Aerocim Technology Co., Ltd., Beijing, China
3Beijing Institute of Control and Electronic Technology, Beijing, China
4Beijing Institute of Remote Sensing Equipment, Beijing, China
5Beijing Automation Control Equipment Institute, Beijing, China
*Corresponding author. Email: 1820355273@qq.com
Corresponding Author
Xiaorui Zhu
Available Online 26 December 2024.
DOI
10.2991/978-94-6463-632-1_8How to use a DOI?
Keywords
Job reward satisfaction; Job performance; Knowledge-based employees; Motivation
Abstract

The purpose of this study is to investigate the relationship between job reward satisfaction and job performance of knowledge-based employees. In this paper, knowledge-based employees in Beijing were selected to conduct a questionnaire survey, and SPSS 26.0 was used to analyze and process the data between job reward satisfaction and job performance of knowledge-based employees, and the mediating effect of motivation was tested by Model 4 in Process. The results of the survey and analysis show that material reward, spiritual reward and feeling reward of knowledge-based employees positively affect their level of job performance, motivation plays a partly mediating role in the relationship between job reward satisfaction and job performance, and feeling reward has the greatest effect on the job performance of knowledge-based employees. The findings of this paper provide a theoretical basis for exploring the path of influence between job reward satisfaction and job performance of knowledge-based employees and further improving the level of job reward satisfaction and job performance.

Copyright
© 2024 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 2024 4th International Conference on Business Administration and Data Science (BADS 2024)
Series
Advances in Computer Science Research
Publication Date
26 December 2024
ISBN
978-94-6463-632-1
ISSN
2352-538X
DOI
10.2991/978-94-6463-632-1_8How to use a DOI?
Copyright
© 2024 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

TY  - CONF
AU  - Yufen Jin
AU  - Xiaorui Zhu
AU  - Wei Liu
AU  - Lianbin Du
AU  - Yan Tan
AU  - Changping Wang
PY  - 2024
DA  - 2024/12/26
TI  - The relationship between job reward satisfaction and job performance of knowledge-based employees
BT  - Proceedings of the 2024 4th International Conference on Business Administration and Data Science (BADS 2024)
PB  - Atlantis Press
SP  - 75
EP  - 83
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-632-1_8
DO  - 10.2991/978-94-6463-632-1_8
ID  - Jin2024
ER  -