Abstract

In recent years, the awareness of sustainable tourism has gradually risen around the world. Many tourism industries combine sports events to attract more customers to facilitate the development of local economy and the promotion of local culture. However, it is an important task to establish a comprehensive and complete tourism evaluation framework for sustainable sports. This study proposes a Multi-Criteria Decision-Making (MCDM) model to discuss the above issues, using the Bayesian Best Worst Method (Bayesian BWM) to integrate multiple expert opinions to generate the group optimal criterion weights. This method overcomes some limitations of original BWM. Next, the modified Visekriterijumska Optimizacija i Kompromisno Resenje (VIKOR) technology combined with the concept of aspiration level to determine the performance of sports attractions and their priority ranks. In addition, this study adds a perspective of institutional sustainability to emphasize the importance of government support and local marketing. The effectiveness and robustness of the proposed model is demonstrated through the potential sports tourist attractions in Taiwan. Comparisons of sensitivity analysis with other MCDM methods were also performed in this study. The results show that the proposed evaluation framework is feasible in practical applications and effectively provides some management implications to support decision makers in formulating improvement strategies.

Keywords: Sustainable sports tourism, MCDM, Bayesian BWM, modified VIKOR

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