Evaluation of hotel brand competitiveness based on hotel features ratings

Haiyang Xia, Huy Quan Vu, Rob Law, Gang Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

10 Citations (Scopus)

Abstract

Understanding the competitiveness of hotel brands is important for hotel managers to shape their brands and initiate effective marketing strategies and business developments. However, evaluating hotel brand competitiveness is challenging due to the complexity of information involved. A hotel brand often comprises many hotels with different performances. Hotel brands are also evaluated against multiple hotel features, thereby making the application of traditional evaluation techniques impractical. This paper introduces a novel technique for automatically evaluating the competitiveness of hotel brands based on probability distribution and earth mover's distance. We demonstrate the effectiveness of our proposed method by conducting a case study that involves major hotel brands in Hong Kong. The proposed method can be applied in various contexts and can help researchers and managers evaluate the competitiveness of hotels as well as other branded products in the hospitality and tourism sectors.

Original languageEnglish
Article number102366
JournalInternational Journal of Hospitality Management
DOIs
Publication statusAccepted/In press - 1 Jan 2019

Keywords

  • Brand competitiveness
  • Data mining
  • Earth mover's distance
  • Hotel rating
  • Online review
  • Probability distribution

ASJC Scopus subject areas

  • Tourism, Leisure and Hospitality Management
  • Strategy and Management

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