Information sharing in a long-term supply chain relationship: The role of customer review strategy

Z. Justin Ren, Morris A. Cohen, Teck H. Ho, Christian Terwiesch

Research output: Contribution to journalArticlepeer-review

143 Citations (Scopus)

Abstract

In this paper, we study the practice of forecast sharing and supply chain coordination with a game-theoretical model. We find that in a one-shot version of the game, forecasts are not shared truthfully by the customer. The supplier will rationally discount the forecast information in her capacity allocation. This results in Pareto suboptimality for both supply chain parties. However, we show that a more efficient, truth-sharing outcome can emerge as an equilibrium from a longterm relationship. In this equilibrium, forecast information is transmitted truthfully and trusted by the supplier, who in turn allocates the system-optimal capacity. This leaves both the customer and the supplier better-off, compared to the nontruthful-sharing equilibrium.

Original languageEnglish
Pages (from-to)81-93
Number of pages13
JournalOperations Research
Volume58
Issue number1
DOIs
Publication statusPublished - Jan 2010
Externally publishedYes

ASJC Scopus Subject Areas

  • Computer Science Applications
  • Management Science and Operations Research

Keywords

  • Forecast sharing
  • Long-term relationship
  • Supply chain management

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