The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Employee Demography, Organizational Commitment, and Turnover Intentions in China: Do Cultural Differences Matter?
Abstract
This study investigates the main effect of demographic variables on organizational commitment (OC) and the moderating effect of gender and education on the relationship between OC and turnover intentions (TI) based on a survey of 333 employees in the People's Republic of China (PRC). Only position positively influenced employees' OC while other demographic variables had no main effects on OC. Gender was found to moderate the relationship between OC and TI but education did not. The results demonstrated that, under the influence of traditional Chinese culture, Chinese employees behave differently from their western counterparts. These differences were explained in terms of cultural variables, particularly, personalism and guanxi (personal relationship network).
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Citations
Cites
Gender inequality and social structure in urban China
Stockman, N. (1994) · Sociology · doi:10.1177/0038038594028003007 · Cited by 66
Cited by
Miao, Q., Newman, A., & Huang, X. (2014) · The International Journal of Human Resource Management · doi:10.1080/09585192.2014.934890 · Cited by 114
A shift in perspective: Examining the impact of perceived follower behavior on leaders
Gesang, E., & Süß, S. (2021) · Scandinavian Journal of Management · doi:10.1016/j.scaman.2021.101156 · Cited by 15
Metadata
- Authors
- Chen, Z. X., & Francesco, A. M.
- Venue
- Human Relations
- Publisher
- SAGE Publications
- Published
- 2000-06
- Volume
- 53
- Issue
- 6
- Pages
- 869-887
- ISSN
- 0018-7267 (ISSN-L)
- 1741-282X
- OpenAlex
- W2106820398
- Cited by
- 352
- References
- 1
- FWCI
- 10.34
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
