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OTAs Selection for Hot Spring Hotels by a Hybrid MCDM Model

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  • Sen-Kuei Liao
  • Hsiao-Yin Hsu
  • Kuei-Lun Chang

Abstract

Tourism has been identified as one of the sectors that will contribute to Taiwan’s economic development. Online travel agencies’ role in producing economic value in the hospitality industry continues to grow. The hotel industry is used in this study as the research context to help managers of hot spring hotels select the optimal online travel agencies (OTAs) using a hybrid multi-criteria decision-making (MCDM) model. The aim of this paper is threefold: first, to obtain selection criteria for OTAs based on the fuzzy Delphi method; second, to extract interdependencies between the perspectives using decision making trial and evaluation laboratory (DEMATEL); and third, according to interdependencies between the perspectives, to rank the alternatives by analytic network process (ANP). Based on the proposed model, a real-world company was conducted and demonstrated OTAs selection problem; the results demonstrated the proficiencies and effectiveness of this model.

Suggested Citation

  • Sen-Kuei Liao & Hsiao-Yin Hsu & Kuei-Lun Chang, 2019. "OTAs Selection for Hot Spring Hotels by a Hybrid MCDM Model," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-9, July.
    • Handle: RePEc:hin:jnlmpe:4251362
    DOI: 10.1155/2019/4251362
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