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Computational Intelligence in the hospitality industry: A systematic literature review and a prospect of challenges

  • Juan Guerra-Montenegro*
  • , Javier Sanchez-Medina
  • , Ibai Laña
  • , David Sanchez-Rodriguez
  • , Itziar Alonso-Gonzalez
  • , Javier Del Ser
  • *Corresponding author for this work
  • Innovation Center for the Information Society (CICEI)
  • Institute for Technological Development and Innovation in Communications (IDeTIC)

Research output: Contribution to journalReview articlepeer-review

38 Citations (Scopus)

Abstract

This research work presents a detailed survey about Computational Intelligence (CI) applied to various Hotel and Travel Industry areas. Currently, the hospitality industry's interest in data science is growing exponentially because of their expected margin of profit growth. In order to provide precise state of the art content, this survey analyzes more than 160 research works from which a detailed categorization and taxonomy have been produced. We have studied the different approaches on the various forecasting methods and subareas where CI is currently being used. This research work also shows an actual distribution of these research efforts in order to enhance the understanding of the reader about this topic and to highlight unexploited research niches. A set of guidelines and recommendations for future research areas and promising applications are also presented in a final section.

Original languageEnglish
Article number107082
JournalApplied Soft Computing Journal
Volume102
DOIs
Publication statusPublished - Apr 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Keywords

  • Computational Intelligence
  • Hospitality and tourism management
  • Hotel industry
  • Machine Learning
  • Predictive analysis
  • Travel industry

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