672
Views
11
CrossRef citations to date
0
Altmetric
Original Articles

Boundary conditions for turnover intentions: exploratory evidence from China, Jordan, Turkey, and the United StatesFootnote

, , &
Pages 846-866 | Published online: 17 Oct 2011
 

Abstract

This article examines the boundary conditions for the formation of turnover intention. We propose that the environment, both at the firm level and at the societal level, moderates the relationships among organizational commitment, job satisfaction, and turnover intention. Our findings show support for our model using professional employees from China, Jordan, Turkey, and the USA and reveal the similarities/differences across cultures. The results call for our attention in taking into consideration the environmental conditions (organizational, cultural, and economic) when studying antecedent factors of turnover intention. We also provide implications for researchers and practitioners in the human resource management (HRM) field and suggestions for giving attention to countries and regions that have been understudied.

Notes

1. An earlier version of this article was presented at the Eastern Academy of Management International Conference, Managing in a Global Economy, in Rio de Janeiro, Brazil, June 21–25, 2009.

2. The mediation results are not shown here but are available from the authors upon request. Baron and Kenny's (1986) mediation test was used to examine this relationship.

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.