2021
DOI: 10.26677/tr1010.2021.822
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Akdeniz Ülkelerinin Destinasyon Rekabetçilik Performanslarının Analizi: MAIRCA ve MARCOS Yöntemleri ile Bir Uygulama

Abstract: Bu araştırmada, 2019 yılı için 19 Akdeniz havzası ülkenin Seyahat ve Turizm Rekabetçilik Endeksi (TTCI) bileşenlerine ait değerler üzerinden söz konusu ülkelerin destinasyon rekabetçilik performansları MAIRCA ve MARCOS yöntemleri ile ölçülmüştür. Bulgulara göre, her iki yöntem kapsamında destinasyon rekabetçilik performansı en fazla olan ilk dört ülke içinde İspanya, Fransa, İtalya ve Portekiz'in, son dört ülke içinde ise Tunus, Lübnan, Bosna Hersek ve Cezayir'in olduğu gözlenmiştir. Ayrıca TTCI kapsamında ülk… Show more

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Cited by 9 publications
(7 citation statements)
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“…The method MARCOS, one of the most recent MCDM techniques, was developed by Stević et al The basis of the method MARCOS is based on the definition of the relationship between decision alternatives and reference values, in other words, ideal and anti-ideal decision alternatives [24][25][26] Step 1. Creating the decision matrix…”
Section: Fuzzy Marcos Methodsmentioning
confidence: 99%
“…The method MARCOS, one of the most recent MCDM techniques, was developed by Stević et al The basis of the method MARCOS is based on the definition of the relationship between decision alternatives and reference values, in other words, ideal and anti-ideal decision alternatives [24][25][26] Step 1. Creating the decision matrix…”
Section: Fuzzy Marcos Methodsmentioning
confidence: 99%
“…As a fairly new technique among multi-criteria decision-making methods, the MARCOS Method is used by researchers in national and international research to sort the alternatives and solve the problems of choosing the best alternative. MARCOS Method is considered as a decision method in the process of "determination of supplier selection alternatives" in Puska et al ( 2021 2020); "innovative and entrepreneurial selection of universities" in Çınaroğlu (2021); "evaluation of the best airports in the world" in Özdağoğlu et al (2021); "analysis of destination competitiveness performances of Mediterranean countries" in Altıntaş (2021); "analysis of financial performances of transportation enterprises" in Pala (2021) and "solving the selection problems of internet service providers" in Tuş and Aytaç Adalı (2021).…”
Section: Methodsmentioning
confidence: 99%
“…Yong et al (2022) carried out a two-stage study to determine whether abandoned coal mines could be used as underground power storage stations and, in doing so, they applied SWARA and the entropy-based MABAC method. Altıntaş (2022a), on the other hand, identified the countries that contributed the most to energy innovation globally based on the 2021 Global Energy Innovation Index Report and using MABAC and MARCOS as multicriteria decision-making methods. According to that study, while the European countries with the highest global energy innovation performances are Finland, Denmark, and Sweden, the ones with the lowest performance are Poland, Greece, and Estonia.…”
Section: Related Studiesmentioning
confidence: 99%