Multi Criteria Decision Analysis (MCDA) to Support Decision Making in Tourism: A Bibliometric Review

Fristi Riandari, Sarjon Defit, Yuhandri

2023

Abstract

Strategic management of complex decision-making problems in the tourism sector requires the implementation of appropriate planning procedures for sustainable tourism activities, taking into account the many factors involved such as variables and stakeholders and conflicting objectives. Decision support systems apply computer technology to create analytical methods and logical solutions, digitize, and program logic judgment programs into computers. Decision Support Systems (DSS) are used to help decision makers deal with complex problems or situations considering that human perception and intelligence can often reach their limits when faced with complex systems that generate lots of data with lots of dependencies. Based on this, this study conducted a bibliometric analysis on previous research discussing MCDA in tourism issues published from 2010 to 2022. Article identification was carried out through a scientific database literature search that was categorized by year of publication, research topics with the keywords MCDA, MCDM and Tourism. The results of the analysis show that further research is needed, within jurisdictions, to choose the most appropriate MCDA method to be applied to tourism because even in the last few decades multi-criteria decision analysis techniques have been widely used in the tourism sector such as the AHP, TOPSIS, ELECTRE, MACBETH, ANP methods, VIKOR and not a few new methods in the multi-criteria decision analysis technique approach have emerged, with different popularity and success but until now there are no guidelines or approaches to selecting the most appropriate MCDA method to be applied in tourism. Therefore, further research needs to identify methods in the multi-criteria decision analysis technique that can achieve the best compromise solution among the most relevant destinations in complex problems such as tourism.

Paper Citation

in Harvard Style

Riandari F., Defit S. and Yuhandri. (2023). Multi Criteria Decision Analysis (MCDA) to Support Decision Making in Tourism: A Bibliometric Review. In Proceedings of the 3rd International Conference on Advanced Information Scientific Development - Volume 1: ICAISD; ISBN 978-989-758-678-1, SciTePress, pages 244-254. DOI: 10.5220/0012447700003848

in Bibtex Style

@conference{icaisd23,
author={Fristi Riandari and Sarjon Defit and Yuhandri},
title={Multi Criteria Decision Analysis (MCDA) to Support Decision Making in Tourism: A Bibliometric Review},
booktitle={Proceedings of the 3rd International Conference on Advanced Information Scientific Development - Volume 1: ICAISD},
year={2023},
pages={244-254},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012447700003848},
isbn={978-989-758-678-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Advanced Information Scientific Development - Volume 1: ICAISD
TI - Multi Criteria Decision Analysis (MCDA) to Support Decision Making in Tourism: A Bibliometric Review
SN - 978-989-758-678-1
AU - Riandari F.
AU - Defit S.
AU - Yuhandri.
PY - 2023
SP - 244
EP - 254
DO - 10.5220/0012447700003848
PB - SciTePress