期刊名称：International Journal of Business and Management
印刷版ISSN：1833-3850
电子版ISSN：1833-8119
出版年度：2017
卷号：12
期号：1
页码：p28
DOI：10.5539/ijbm.v12n1p28
语种：English
出版社：Canadian Center of Science and Education
其他摘要：The tourism demand has become more and more diversified and sensitive to traveling environment, resulting in the high volatility of tourism market. Travel agencies, scenic spots, hotels and other tourism businesses in the tourism supply chain (TSC) need a tight collaboration in order to minimize cost and improve responsiveness and service level. The existence of the bullwhip effect will cause the waste of resources and low efficiency, thus collaborative demand forecasting becomes a good practice to enhance sharing of information and resources, and as a result improving the efficiency and effectiveness of tourism demand forecasting. This paper proposes a collaborative tourism demand forecasting framework based on Colored Petri Net (CPN), which can simulate and examine the effectiveness of tourism supply chain collaboration.
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