Assessing the application of multi-criteria decision making techniques in hospitality and tourism research: a bibliometric study

Sanaz Vatankhah
,
M. Darvishmotevali
,
R. Rahimi
,
S.M. Jamali
,
N. Ale Ebrahim

Business & Management Research Institute (BMRI)

Research Output:

Contribution to journal

Article

Peer-review

Open access

Abstract

Purpose: Multi-criteria decision-making (MCDM) techniques are decision support systems that provide systematic approaches to solve hospitality and tourism (H&T) problems while minimizing the risk of failure. However, less is known about the application of MCDM techniques in H&T research. This study aims to systematically assess the use of MCDM techniques in H&T research to classify its current application and determine its application potential for H&T research. Design/methodology/approach: This study used bibliometric analysis to examine all published MCDM studies focused on H&T industries, since 1997. In addition, topic modelling was used to discover key concepts. Finally, top cited studies in terms of total citations per year and total citations were qualitatively reviewed for more insights. Findings: The findings revealed an ongoing interest in applying MCDM techniques in H&T research. Specifically, the extension of fuzzy theory in MCDM techniques is burgeoning among H&T researchers. However, a certain number of MCDM techniques seem to be ignored in this field with a repetitive application of MCDM techniques in particular areas. Research limitations/implications: The data for the current research was solely retrieved from Scopus and other databases were not included. Therefore, future research is called for to re-examine the study by considering data from various databases. Originality/value: This study contributes to extant H&T literature by a) identifying the most prolific and influential countries, journals, publications, and trends by applying MCDM techniques in H&T research, and b) elucidating the implications and characteristics of MCDM techniques in H&T research.