Assessment of Vietnam Tourism Recovery Strategies after COVID-19 Using Multi-Criteria Decision-Making Approach

Tourism is the economic sector most heavily influenced by COVID-19, and it has suffered unprecedented losses. The competitiveness and resilience of the tourism industry have recently become a topic of great concern for global stakeholders. A series of ambitious recovery strategies have been announce...

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Veröffentlicht in:Sustainability 2023-06, Vol.15 (13), p.10047
Hauptverfasser: Lin, Wu-Chung, Wu, Chihkang Kenny, Le, Thi Kim Trang, Nguyen, Ngoc Anh
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Sprache:eng
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Zusammenfassung:Tourism is the economic sector most heavily influenced by COVID-19, and it has suffered unprecedented losses. The competitiveness and resilience of the tourism industry have recently become a topic of great concern for global stakeholders. A series of ambitious recovery strategies have been announced by countries to rebuild the tourism industry, that aim to make “smokeless industry” more resilient and sustainable. The objective of this study is to evaluate and rank the effectiveness of nine recovery strategies in the post-COVID-19 period for Vietnam’s tourism industry. A combined model of the Best–Worst Method (BWM) and the Group Best Worst Method (GBWM), an efficient tool using the multi-criteria decision-making (MCDM) approach, is used to rank the tourism solutions. The assessment process is carried out by six stakeholder groups considered decision makers, including tourism operators, enterprises, scholars, employees, residents, and tourists. In the context of Vietnam, the most influential tourism recovery strategy is using innovative tourism business models (ST2), which is a solid step forward in utilizing potential resources, meeting current tourism needs, and adapting to natural changes. The model results reflect that the tourism model’s restructuring is necessary to provide new types of experiences and entertainment suitable for the new tourism context. The findings illustrate that the priority of strategies depends on the perception of decision-makers, levels of involvement in the tourism industry, and local conditions. The study has contributed a theoretical framework for tourism recovery solutions and decision support in the post-pandemic stage. The model can be applied to other countries worldwide in improving tourism performance or assisting in decision-making for similar issues.
ISSN:2071-1050
2071-1050
DOI:10.3390/su151310047