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Judgemental Forecasting Support Systems in Tourism

Author

Listed:
  • 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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    1. Smith, Carlo D. & Mentzer, John T., 2010. "Forecasting task-technology fit: The influence of individuals, systems and procedures on forecast performance," International Journal of Forecasting, Elsevier, vol. 26(1), pages 144-161, January.
    2. Goodwin, Paul & Wright, George, 1993. "Improving judgmental time series forecasting: A review of the guidance provided by research," International Journal of Forecasting, Elsevier, vol. 9(2), pages 147-161, August.
    3. Winklhofer, Heidi & Diamantopoulos, Adamantios & Witt, Stephen F., 1996. "Forecasting practice: A review of the empirical literature and an agenda for future research," International Journal of Forecasting, Elsevier, vol. 12(2), pages 193-221, June.
    4. Fildes, Robert & Goodwin, Paul & Lawrence, Michael & Nikolopoulos, Konstantinos, 2009. "Effective forecasting and judgmental adjustments: an empirical evaluation and strategies for improvement in supply-chain planning," International Journal of Forecasting, Elsevier, vol. 25(1), pages 3-23.
    5. Song, ChiUng & Boulier, Bryan L. & Stekler, Herman O., 2007. "The comparative accuracy of judgmental and model forecasts of American football games," International Journal of Forecasting, Elsevier, vol. 23(3), pages 405-413.
    6. Goodwin, Paul, 2002. "Integrating management judgment and statistical methods to improve short-term forecasts," Omega, Elsevier, vol. 30(2), pages 127-135, April.
    7. Armstrong, J. Scott, 2006. "Findings from evidence-based forecasting: Methods for reducing forecast error," International Journal of Forecasting, Elsevier, vol. 22(3), pages 583-598.
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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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