Data-Driven Strategies in Hospitality

Rik van Leeuwen

Research output: PhD ThesisPhD-Thesis - Research and graduation internal

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Abstract

This dissertation focuses on data-driven strategies for hospitality to increase the adaptability of predictive and prescriptive models. The study emphasizes the incorporation of business context and the utilization of a white-box approach. Diverse methods are applied and examined in this dissertation, and their main contributions are introduced. The research aims to bolster the effectiveness and transparency of these models, ensuring they align with the specific needs and challenges faced by the hospitality sector.
Original languageEnglish
QualificationPhD
Awarding Institution
  • Vrije Universiteit Amsterdam
Supervisors/Advisors
  • Koole, Ger, Supervisor
  • Belitser, Eduard, Supervisor
Award date13 Mar 2024
Print ISBNs9789464733976
DOIs
Publication statusPublished - 13 Mar 2024

Keywords

  • data-driven
  • hospitality
  • machine learning
  • optimization
  • artificial intelligence
  • forecasting
  • clustering
  • time series
  • reinforcement learning

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