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Title: Developing a Web-based collaborative forecasting platform to support tourism supply chain management
Authors: Zhang, X
Song, H 
Keywords: Collaborative forecasting
tourism supply chain
Issue Date: 2012
Publisher: IEEE
Source: IEEE International Conference on Industrial Engineering and Engineering Management, 2012, 6837979, p. 1414-1418 How to cite?
Abstract: Tourism is a networked industry where clusters of organizations coordinate, cooperate, or compete in a dynamic environment. Therefore tourism industry is well suited to the concept of the supply chain. It is believed that applying supply chain management strategy to the tourism industry provides a new research opportunity to generate insights into how a tourism supply chain (TSC) develops a sustainable competitive advantage, especially when the demand uncertainty is high. Along this line, this paper is aimed at developing a Web-based platform for TSC members to conduct collaborative forecasting. Unlike the traditional stand-Alone forecasting process in which individual tourism practitioners produce demand predictions based on their private or partial information, collaborative forecasting breaks down the 'island of analysis' and involves reliance on TSC partners to provide specific and timely information on important derivers of future demand. Specific designs of the collaborative forecasting platform are proposed in this paper, and this includes the user classification, forecasting method selection, and platform structure design.
Description: 2012 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2012, Hong Kong, 10-13 December 2012
ISBN: 9781467329453
ISSN: 2157-3611
DOI: 10.1109/IEEM.2012.6837979
Appears in Collections:Conference Paper

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