1,367
Views
1
CrossRef citations to date
0
Altmetric
Articles

Staff localization strategy and host country nationals’ turnover intention

&
Pages 1916-1941 | Received 10 Jan 2017, Accepted 19 Sep 2020, Published online: 09 Oct 2020
 

Abstract

Based on signaling theory, this study demonstrates the use of a multilevel framework to examine the effects of two alternative staff localization strategies (embedding and excavating localization) on the turnover intention of host country nationals (HCNs) as well as the mediating roles of perceived career opportunity (PCO) and cynicism. We collected multisource data from 476 HCNs working for 19 foreign firms in China. Data were analyzed using the multilevel structural equation model (MSEM). We find that the embedding localization strategy has a stronger effect on HCNs’ turnover intention as compared to the excavating localization strategy. While both PCO and cynicism significantly mediate the relationships between embedding localization and turnover intention, only PCO mediates the relationship between excavating localization and turnover intention. The implications of our study are discussed with regard to the key findings.

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes

1 The data that support the findings of this study are available from the corresponding author, upon reasonable request.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 352.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.