Pursuing alternative demand forecasting approaches in the tourism sector

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Relying on econometric principles and modelling has been the dominant in developing models to forecast demand for tourism services. But this is not necessarily the best approach since such models extrapolate the past into the future through a linear perspective. At the same time, this approach fails to incorporate the dynamic nature of travelers behaviour and choices resulting from various emerging conditions. With this mind, we explain in detail the key limitations of the dominant approach to modelling demand and propose an alternative, fresh view that can improve the accuracy and relevance of the prognosis. We also offer a proposed research design to accommodate the requirements of this fresh approach, while explaining who and how would benefit from my proposed method.
Original languageEnglish
Title of host publicationStrategic Innovative Marketing and Tourism in the COVID-19 Era
Subtitle of host publication9th ICSIMAT Conferece 2020
EditorsAndroniki Kavoura, Stephen J. Havlovic , Natalya Totskaya
Place of PublicationSwitzerland
PublisherSpringer
Chapter1
Pages1-9
Number of pages9
ISBN (Electronic)978-3-030-66154-0
ISBN (Print)978-3-030-66153-3
DOIs
Publication statusPublished - 16 Feb 2021

Publication series

NameSpringer Proceedings in Business & Economics
PublisherSpringer

Keywords

  • tourism
  • demand forecasting
  • sustainability

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