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Multi-Dimensional Data Modelling for a Tourism Destination Data Warehouse
16 references·3 citing·51 second hop
Multi-Dimensional Data Modelling for a Tourism Destination Data Warehouse (2013)Multi-Dimensional Data Modelling for a To…Vacationers and eWOM: Who Posts, and Why, Where, and What? 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References

  • 2008Building a Data Warehouse2,629 cited
  • 2009The Data Warehouse Lifecycle Toolkit697 cited
  • 2002The “Pull” of Tourism Destinations: A Means-End Investigation628 cited
  • 2009Determinants of tourism success for DMOs & destinations: An empirical examination of stakeholders' perspectives620 cited
  • 2010Vacationers and eWOM: Who Posts, and Why, Where, and What?521 cited
  • 1998THE DIMENSIONAL FACT MODEL: A CONCEPTUAL MODEL FOR DATA WAREHOUSES478 cited
  • 2008Knowledge transfer and management in tourism organisations: An emerging research agenda435 cited
  • 1999Airline Yield Management with Overbooking, Cancellations, and No-Shows339 cited
  • 2004Destination Benchmarking: An Indicator-System’s Potential for Exploring Guest Satisfaction248 cited
  • 2002A framework for an industry supported destination marketing information system181 cited
  • 2003Tourist market segmentation with linear and non-linear techniques100 cited
  • 2003Data mining for hotel firms: Use and limitations89 cited
  • 1998Room occupancy rate forecasting: a neural network approach87 cited
  • 2003Forecasting tourism demand: a cubic polynomial approach86 cited
  • 2002A data mining approach to developing the profiles of hotel customers

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79 cited
  • 2004Predicting air travelers’ no-show and standby behavior using passenger and directional itinerary information57 cited
  • Cited by

    • 2020BITOUR: A Business Intelligence Platform for Tourism Analysis21 cited
    • 2023Understanding the adoption of data-driven decision-making practices among Canadian DMOs19 cited
    • 2023Developing scalable management information system with big financial data using data mart and mining architecture16 cited