Branding luxury hotels: Evidence from the analysis of consumers’ “big” visual data on TripAdvisor

Simona Giglio, Eleonora Pantano, Eleonora Bilotta, TC Melewar

Research output: Contribution to journalArticle (Academic Journal)peer-review

55 Citations (Scopus)
283 Downloads (Pure)


The aim of this paper is to understand consumers’ perception of luxury hotel brands. To this end, the research evaluates consumers’ “big” visual data on TripAdvisor through a machine learning approach. Results shed light on the significant part of non-textual elements of the hotel experience such as pictures, which cannot be explored through traditional methods as content analysis. In particular, the analysis of 7,395 consumers’ pictures leads to the identification of the attributes that had the higher impact on their experience. These attributes emerged as specific features of interior elements of the hotels (rooms and restaurant).
Finally, the study shows how big data analytics and machine learning algorithms can (i) help monitoring social media and understand consumers perception of luxury hotels through the new analysis of visual data, and (ii) turn into better brand management strategies for luxury hotel managers.
Original languageEnglish
Number of pages7
JournalJournal of Business Research
Early online date3 Dec 2019
Publication statusE-pub ahead of print - 3 Dec 2019

Structured keywords

  • MGMT Marketing and Consumption


  • brand management
  • luxury brand
  • luxury hotels
  • consumer behavior
  • visual data analytics
  • big data


Dive into the research topics of 'Branding luxury hotels: Evidence from the analysis of consumers’ “big” visual data on TripAdvisor'. Together they form a unique fingerprint.

Cite this