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Judgemental Forecasting Support Systems in Tourism

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  • Valeria Croce
  • Karl W. Wöber

Abstract

In an increasingly competitive industry, tourism managers are faced with the necessity of estimating future values of demand in the short term despite the limitations of scarcity, volatility and uncertainty. A convenient and flexible approach such as judgemental forecasting holds promise in addressing the major issues in the field of tourism demand forecasting. This paper presents an innovative approach, which uses the opportunities offered by decision support systems to tackle the main issues associated with judgemental forecasting. A forecasting system that supports collaborative short-term forecasting tasks among tourism managers is offered as a case example.

Suggested Citation

  • Valeria Croce & Karl W. Wöber, 2011. "Judgemental Forecasting Support Systems in Tourism," Tourism Economics, , vol. 17(4), pages 709-724, August.
    • Handle: RePEc:sae:toueco:v:17:y:2011:i:4:p:709-724
    DOI: 10.5367/te.2011.0062
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    References listed on IDEAS

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    Cited by:

    1. Anyu Liu & Laura Vici & Vicente Ramos & Sauveur Giannoni & Adam Blake, 2021. "Visitor arrivals forecasts amid COVID-19: A perspective from the Europe team," Post-Print hal-04653783, HAL.
    2. Liu, Anyu & Vici, Laura & Ramos, Vicente & Giannoni, Sauveur & Blake, Adam, 2021. "Visitor arrivals forecasts amid COVID-19: A perspective from the Europe team," Annals of Tourism Research, Elsevier, vol. 88(C).

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