Intellectual structure of leadership studies in hospitality and tourism

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Abstract

Purpose

This study aims to investigate the intellectual structure of leadership research in the hospitality industry through citation, co-citation and heat map analysis.

Design/methodology/approach

Systematic bibliometric mapping was done using citation and co-citation analysis. This study covered journals from 1985 to 2020.

Findings

After reviewing 172 published articles with 10,276 citations, results identified five main clusters.

Practical implications

Hospitality managers can choose certain qualities (i.e. charisma, individualized consideration) or use servant leadership characteristics (i.e. selflessness) to direct employees toward more discretionary behavior.

Originality/value

Former holistic studies on leadership applied different approaches, such as review studies (i.e. systematic review and meta-analysis) or evaluative studies (e.g. productivity measures). It mainly focused on extending the understanding of different leadership types in tourism and hospitality. Nevertheless, relational studies (e.g. citation analysis, bibliographic analysis) remained untouched.

Related collections

Most cited references 116

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Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives

Li‐tze Hu, Peter M. Bentler (1999)

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Common method biases in behavioral research: A critical review of the literature and recommended remedies.

Philip M Podsakoff, Scott MacKenzie, Jeong-Yeon Lee … (2003)

Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.