University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Meta-analysis of Outcomes of Leader–Member Exchange in Hospitality and Tourism: What Does the Past Say about the Future?

Chang, Wen, Liu, Anyu, Wang, Xuhui and Yi, Bowen (2020) Meta-analysis of Outcomes of Leader–Member Exchange in Hospitality and Tourism: What Does the Past Say about the Future? International Journal of Contemporary Hospitality Management.

[img] Text
LMX meta R5 submission.docx - Accepted version Manuscript

Download (127kB)

Abstract

Purpose: Leader–member exchange (LMX) theory is particularly relevant to the hospitality and tourism industry due to its labor-intensive and service-focused nature. However, the hospitality literature regarding the impact of LMX on its various outcomes have inconsistent results. A holistic review of LMX studies is nonexistent in the current literature. Thus, the purpose of this study is to use a meta approach to quantitatively summarize and examine the relationship between LMX and its outcomes in the hospitality and tourism literature. Design/methodology/approach: A total of 89 individual observations from 36 studies conducted between 1997 and 2018 were identified. A Bayesian random effect model was introduced into the hospitality and tourism literature for the first time to implement the meta-analysis. Findings: Results suggest significant differences in the impact of LMX on various groups of outcomes. LMX has the strongest impact on firms’ practice-related outcomes, such as organizational justice and employee empowerment. Few moderators are identified on the impact of LMX, such as LMX measure, culture, industry sector, and statistical method. Practical implications: Findings yielded several recommendations for both hospitality researchers and organizations in developing LMX related studies as well as managing employees. Originality/value: This study is the first Bayesian meta-analysis in the hospitality and tourism literature; it complements LMX theory by linking it to cognitive appraisal theory. Specific characteristics of LMX in the hospitality and tourism industry, such as the measurement of LMX and the effect of industry sector, are also identified.

Item Type: Article
Divisions : Faculty of Arts and Social Sciences > School of Hospitality and Tourism Management
Authors :
NameEmailORCID
Chang, Wen
Liu, Anyuanyu.liu@surrey.ac.uk
Wang, Xuhui
Yi, Bowen
Date : 4 April 2020
Uncontrolled Keywords : LMX, meta-analysis, Bayesian random effect model, moderator analysis
Depositing User : James Marshall
Date Deposited : 08 Apr 2020 13:57
Last Modified : 08 Apr 2020 13:57
URI: http://epubs.surrey.ac.uk/id/eprint/854137

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800