Research on the Mechanism of Organizational Hierarchy on the Work Attitude of Chinese Local Civil Servants based on Big Data

San Yang, Xun Zeng, Jian Kang

2021

Abstract

This paper integrates the variables of organizational hierarchy and general self-efficacy that affects civil servants’ work attitudes and constructs a hypothetical model reflecting the relationship between those three variables. This paper collected questionnaire data from 2353 civil servants in China using the internet snowballing methods and built a big data database. It found through regression analysis that organizational hierarchy positively affects local government civil servants’ work attitudes: the higher the organizational hierarchy, the better the work attitudes of local government civil servants; general self-efficacy plays a mediating role between organizational hierarchy and local government civil servants’ work attitudes. The empirical results of this paper suggest that China needs to pay attention to the improvement of civil servants’ work attitudes at the grassroots level, improve the treatment of civil servants at the grassroots level, improve the promotion mechanism of civil servants at the grassroots level, and strengthen the humanistic care for civil servants at the grassroots level, so as to enhance the general self-efficacy of civil servants and achieve the improvement of civil servants’ work attitudes.

Paper Citation

in Harvard Style

Yang S., Zeng X. and Kang J. (2021). Research on the Mechanism of Organizational Hierarchy on the Work Attitude of Chinese Local Civil Servants based on Big Data. In Proceedings of the 1st International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA, ISBN 978-989-758-589-0, pages 69-74. DOI: 10.5220/0011153900003437

in Bibtex Style

@conference{pmbda21,
author={San Yang and Xun Zeng and Jian Kang},
title={Research on the Mechanism of Organizational Hierarchy on the Work Attitude of Chinese Local Civil Servants based on Big Data},
booktitle={Proceedings of the 1st International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA,},
year={2021},
pages={69-74},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011153900003437},
isbn={978-989-758-589-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA,
TI - Research on the Mechanism of Organizational Hierarchy on the Work Attitude of Chinese Local Civil Servants based on Big Data
SN - 978-989-758-589-0
AU - Yang S.
AU - Zeng X.
AU - Kang J.
PY - 2021
SP - 69
EP - 74
DO - 10.5220/0011153900003437