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An integrative framework for collaborative forecasting in tourism supply chains.

Authors :
Zhang, Xinyan
Song, Haiyan
Source :
International Journal of Tourism Research; Mar/Apr2018, Vol. 20 Issue 2, p158-171, 14p
Publication Year :
2018

Abstract

Abstract: Tourism practitioners must often rely on each other in a tourism supply chain (TSC). Demand forecasting plays a key role in shaping the activities of TSC practitioners. In the past 4 decades, researchers have developed many techniques for advanced tourism demand forecasting, but practitioners have had little interest in them. To bridge this gap, we examine the nature of the forecasting tasks of TSC practitioners in Hong Kong and propose a collaborative TSC forecasting framework that not only integrates tourism demand forecasting methods with practitioners' knowledge, but also facilitates information sharing between TSC practitioners to increase industry collaboration and improve forecasting performance. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10992340
Volume :
20
Issue :
2
Database :
Complementary Index
Journal :
International Journal of Tourism Research
Publication Type :
Academic Journal
Accession number :
128313536
Full Text :
https://doi.org/10.1002/jtr.2168