A Study on the Problem of Grassroots Staff Turnover in Property Companies and Countermeasures

—— An Example of Enterprise X

DOI

10.2991/978-94-6463-102-9_106How to use a DOI?

Keywords

Employee turnover; Property; Grassroots staff

Abstract

China's property services industry has experienced more than 40 years of development since 1981, and the issue of human resources is one of the most important issues for companies to improve their service quality as well as their service brand. However, in recent years, the loss of grassroots staff in property companies has been a serious problem, constantly weakening the competitiveness of the companies. This paper takes a property company as the research object and analyses the problem of massive staff turnover at the grassroots level of the target company by means of questionnaires and interview methods. The results show that the sense of belonging and job satisfaction of the grass-roots employees of Enterprises X are both at a low level. In response to this problem, this paper proposes countermeasures in four areas. This paper is of great relevance to the optimisation of human resources in Enterprises X and the improvement of employee satisfaction as well as the human resource management and sustainable development of the property company.

Copyright

© 2023 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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TY  - CONF
AU  - Jiale Du
AU  - Zengpeng Liu
AU  - Junhong He
PY  - 2022
DA  - 2022/12/29
TI  - A Study on the Problem of Grassroots Staff Turnover in Property Companies and Countermeasures
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 1018
EP  - 1029
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_106
DO  - 10.2991/978-94-6463-102-9_106
ID  - Du2022
ER  -