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INFORMATION GAMING IN DEMAND COLLABORATION AND SUPPLY CHAIN PERFORMANCE
Author(s) -
Xu Kefeng,
Dong Yan
Publication year - 2004
Publication title -
journal of business logistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.611
H-Index - 79
eISSN - 2158-1592
pISSN - 0735-3766
DOI - 10.1002/j.2158-1592.2004.tb00172.x
Subject(s) - supply chain , business , supply chain management , information sharing , supply and demand , demand chain , industrial organization , supply chain risk management , point (geometry) , demand forecasting , service management , marketing , demand management , process management , computer science , microeconomics , economics , geometry , mathematics , world wide web , macroeconomics
Demand collaboration has recently been promoted by industry leaders as an important tool for supply chain management. Its greatest significance beyond the sharing of point‐of‐sale and forecast information stems from its potential to allow supply chain partners to extract private market information from each other for more effective planning and better supply chain performance. A simulation framework based on actual business processes is developed to investigate the underlying drivers of demand collaboration and the inherent risks and benefits of such collaboration.