Issue |
E3S Web Conf.
Volume 409, 2023
International Conference on Management Science and Engineering Management (ICMSEM 2023)
|
|
---|---|---|
Article Number | 03006 | |
Number of page(s) | 14 | |
Section | Data Science | |
DOI | https://doi.org/10.1051/e3sconf/202340903006 | |
Published online | 01 August 2023 |
Influence of Guanxi on Job Satisfaction in China: Xinren as a Mediator
1 School of Management, Shanghai University, Shanghai, People’s Republic of China
2 School of Population Health, University of Auckland, Auckland, New Zealand
* e-mail: 248185060@qq.com
Research has shown that Chinese guanxi (private relationships/networks based on Chinese culture, which allow to obtain social resources informally and privately) are related to job searching and work-related outcomes such as job match and job satisfaction. However, few studies have examined the correlation between the sub-dimensions of guanxi and job satisfaction. With a sample of 267 respondents from different Chinese companies, this study divided guanxi research into two stages (the renqing & ganqing guanxi used for job-searching processes and the supervisor-subordinate guanxi used for on-thejob processes) and examined the mediating effect of xinren on guanxi and job satisfaction by using structural equation modeling and bootstrapping analysis. The results showed that guanxi was positively related to job satisfaction, and xinren partly mediated these correlations. Our findings extend previous research on the effects of guanxi on job outcomes and may be used as an exploratory guide to manage employee satisfaction.
Key words: Guanxi / Xinren / Supervisor-subordinate Guanxi / Trust in supervisor / Job satisfaction
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.