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Exploring heritage tourism performance improvement for making sustainable development strategies using the hybrid-modified MADM model

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  • Kua-Hsin Peng
  • Gwo-Hshiung Tzeng

Abstract

Industrial heritage tourism has become increasingly popular in recent years. However, strategies for improving the industrial heritage tourism development-related performances are still an underdeveloped research topic academically. Therefore, this study’s purpose is to explore the feasibility performance-improving strategies using a hybrid-modified multiple attribute decision-making (MADM) based on the DEMATEL technique in constructing the influential network relation map (INRM) and in determining the influential weights of DANP. Then, the modified VIKOR method is combined with the influential weights of DANP, performance gaps were identified, and then the most effective strategies for improving tourism development-related performance at industrial heritage sites can be generated using INRM. Finally, an empirical real case study of a rehabilitated gold-mining site of Taiwan is used to demonstrate the effectiveness of the hybrid-modified MADM model. According to the results, the decision-makers should highly prioritize improving high-priority criteria such as ‘social usefulness’, ‘resource integration’, ‘destination policy and development’, ‘economic development’, ‘cultural links’, ‘cultural learning’, and ‘natural landscape resources’ in advance to successfully achieving the aspired performance levels. Additionally, this study suggests meaningful industrial heritage tourism performance improvement strategies that have been rehabilitated throughout the world.

Suggested Citation

  • Kua-Hsin Peng & Gwo-Hshiung Tzeng, 2019. "Exploring heritage tourism performance improvement for making sustainable development strategies using the hybrid-modified MADM model," Current Issues in Tourism, Taylor & Francis Journals, vol. 22(8), pages 921-947, May.
    • Handle: RePEc:taf:rcitxx:v:22:y:2019:i:8:p:921-947
    DOI: 10.1080/13683500.2017.1306030
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    Cited by:

    1. Carlos Sánchez‐Camacho & Rocío Carranza & David Martín‐Consuegra & Estrella Díaz, 2022. "Evolution, trends and future research lines in corporate social responsibility and tourism: A bibliometric analysis and science mapping," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(3), pages 462-476, June.
    2. Kuang-Hua Hu & Fu-Hsiang Chen & Ming-Fu Hsu & Gwo-Hshiung Tzeng, 2023. "Governance of artificial intelligence applications in a business audit via a fusion fuzzy multiple rule-based decision-making model," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-31, December.
    3. Zheng, Wei-Quan & Cheung, Sze-Man & Zhu, Bo-Wei & Xiong, Lei & Tzeng, Gwo-Hshiung, 2024. "A hybrid multi-attribute decision-making model for the systematic evaluation of exoticism-themed retail spaces from the perspective of consumer experience," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).

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