1,371
Views
36
CrossRef citations to date
0
Altmetric
Original Articles

A Structural Relationship Analysis of Hotel Employees' Turnover Intention

Pages 321-337 | Published online: 02 Feb 2007
 

Abstract

Since human resources management has become more important in the hospitality industry, managers and academics have shown interest in studies related to human resources such as job satisfaction, organizational commitment, relationship quality, and so on. Recently, the turnover rate of hotel employees has increased rapidly. Therefore, this study will examine the key factors directly and indirectly influencing turnover intention. The probability sampling method was conducted to select samples from five-, four- and three-star hotels in Busan. Questionnaire surveys were mailed between 12 and 26 April 2004. Of the 500 questionnaires sent to hotel employees, 375 were returned, for a 75.0% response rate. Structural equation modeling by LISREL8.14 was employed to verify hypotheses. The result of the analysis revealed that the proposed model was supported by a variety of fit indexes (χ2 = 258.50, df = 94, GFI = 0.91, AGFI = 0.87, NFI = 0.93, NNFI = 0.94, RMSR = 0.040). Furthermore, seven hypotheses were confirmed, and this outcome shows the same result as previous research.

Acknowledgment

This research was supported by the Dong-A University Research Fund in 2004.

Additional information

Notes on contributors

Kyuhwan Choi

E-mail: [email protected]

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 153.00 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.