A comparative survey of the condition of tourism infrastructure in Iranian provinces using VIKOR and TOPSIS

Bagheri, Moslem; Shojaei, Payam; Khorami, Maryam Tayebi

doi:10.5267/j.dsl.2017.4.001

Cited by 22 publications

(15 citation statements)

References 22 publications

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“…However, for individual African countries to achieve these desired benefits, a complementary infrastructure must be in place. The full benefits of ICT for tourist destinations must be redefined; capable infrastructure must be developed (Bagheri et al, 2018; Judd, 2015; Mudjanarko et al, 2017; Wallace, 2018). The current level of ICT infrastructure in Africa is low, and for a continent where many countries are poor, such improvements are a formidable challenge (Evans, 2018a).…”

Section: Introductionmentioning

confidence: 99%

ICT, infrastructure, and tourism development in Africa

2019

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This study examines the relationship between information and communication technology (ICT), infrastructure, and tourism development in Africa between 1996 and 2016 using a dynamic panel gravity model. Our findings show that ICT and infrastructure have a positive, statistically significant relationship with tourism development; as ICT and infrastructure increase, the level of tourist arrivals also increases. This study also identifies relevant factors including bilateral real exchange rate and gross domestic product per capita of the origin countries, suggesting a major role for the variables measured in the region of origin and for those that serve as a comparison between origin and destination. The effect of distance is statistically significant and negative: countries farthest from the origin countries generate less tourism demand, given the higher transportation costs. Repeat tourism (or habit persistence) and natural resources show a significant and positive effect on tourism development. Overall, the empirical results provide evidence that ICT and infrastructural development have opened huge opportunities for growing and strengthening tourism in Africa.

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Section: Introductionmentioning

confidence: 99%

ICT, infrastructure, and tourism development in Africa

2019

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“…According to the literature, the VIKOR method is used in decision-making analyses in many studies in different disciplines, such as the automotive sector ( Luthra et al, 2017 ), the health sector ( Zeng et al, 2013 ), the banking sector ( Toloie-Eshlaghy and Bayanati, 2012 ), the textile sector ( Hassanpour, 2019 ), education sector ( Mančev, 2013 ), evaluation of countries in various ways ( Dang and Dang, 2020 ), tourism sector ( Bagheri et al, 2018 ), and evaluation of research and development performance ( Özkan et al, 2019 ).…”

Section: Methodologiesmentioning

confidence: 99%

Comparative analysis of TOPSIS, VIKOR and COPRAS methods for the COVID-19 Regional Safety Assessment

Hezer

Gelmez

Özceylan

2021

Journal of Infection and Public Health

115

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COVID-19, which emerged in December 2019, has affected the entire world. Therefore, COVID-19 has been a subject of research in various disciplines, especially in the field of health. One of these studies was the report made by the Deep Knowledge Group (DKG) consortium in which safe regions for COVID-19 were determined. In the report, the main criteria of quarantine efficiency, government efficiency of risk management, monitoring and detection, health readiness, regional resilience, and emergency preparedness are used in the evaluation of countries and regions (alternatives). As the data and research structure used in this report are based on multi-criteria, the purpose of this study is to evaluate and analyse the safety levels of 100 regions in the world in terms of COVID-19 using Technique for Order Performance by Similarity to Ideal Solution (TOPSIS), Vise Kriterijumsa Optimizacija I Kompromisno Resenje (VIKOR) and Complex Proportional Assessment (COPRAS) methods. The data and information required in the methods were obtained from a report prepared by the DKG. The results of the methods were compared with the ranking results presented in a report of the DKG. Accordingly, it has been observed that the method that provides the closest results to the results of the report is the COPRAS method, and the method that gives the most distant results is the VIKOR method.

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“…An excellent review on the applications of TOPSIS method in diverse fields of technological and managerial decision making is available in Behzadian et al (2012), Tlig and Rebai (2017) and Bagheri et al (2018).…”

Section: Topsis Methodsmentioning

confidence: 99%