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University of Novo mesto (VSUPNM)
  • Tourism forecasting of “unpredictable” future shocks [Elektronski vir] : a literature review by the PRISMA model
    Gričar, Sergej
    This study delves into the intricate process of predicting tourism demand, explicitly focusing on econometric and quantitative time series analysis. A meticulous review of the existing literature is ... carried out to comprehensively understand the various methods for forecasting “unpredictable” shocks of tourism demand on an ex-ante basis. The PRISMA method has been implemented. Drawing on scholarly research, this study pinpoints the critical challenges in accurately predicting tourism demand, making it a valuable resource for tourism professionals and researchers seeking to stay on top of the latest forecasting techniques. Moreover, the study includes an overview of published manuscripts from the current decade, with mixed results from the 32 manuscripts reviewed. The study concludes that virtual tourism, augmented reality, virtual reality, big data, and artificial intelligence all have the potential to enhance demand forecasting in time series econometrics.
    Source: Journal of risk and financial management. - ISSN 1911-8074 (Vol. 16, iss. 12, article no. 493, Nov. 2023, str. 1-14)
    Type of material - e-article ; adult, serious
    Publish date - 2023
    Language - english
    COBISS.SI-ID - 173148419

    Link(s):

    https://www.mdpi.com/1911-8074/16/12/493
    DOI

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