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Endogenous information acquisition in supply chain management

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  • Fu, Qi
  • Zhu, Kaijie

Abstract

In this paper, we analyze an endogenous determination of efforts put into information acquisition and its impact on supply chain management. More specifically, we consider a supplier who sells a product to a buyer during a single selling season. Prior to placing an order with the supplier, the buyer has an option to acquire additional information about the demand by hiring experts (who are capable of providing forecasts). Because a commission fee must be paid to each hired expert, there exists a tradeoff between the cost and the value of the information, and the buyer needs to determine how much information to acquire. We derive the optimal information-acquisition level in an integrated setting and compare it with that determined in a decentralized setting. We also analyze several types of supply contracts to examine if they can coordinate the supply chain and allow an arbitrary division of system profit between the supplier and the buyer.

Suggested Citation

  • Fu, Qi & Zhu, Kaijie, 2010. "Endogenous information acquisition in supply chain management," European Journal of Operational Research, Elsevier, vol. 201(2), pages 454-462, March.
  • Handle: RePEc:eee:ejores:v:201:y:2010:i:2:p:454-462
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Fangruo Chen & Guoming Lai & Wenqiang Xiao, 2016. "Provision of Incentives for Information Acquisition: Forecast-Based Contracts vs. Menus of Linear Contracts," Management Science, INFORMS, vol. 62(7), pages 1899-1914, July.
    2. Pio Baake & Andreas Harasser & Friederike Heiny, 2016. "Information Acquisition in Vertical Relations," Discussion Papers of DIW Berlin 1543, DIW Berlin, German Institute for Economic Research.
    3. Terry A. Taylor & Wenqiang Xiao, 2010. "Does a Manufacturer Benefit from Selling to a Better-Forecasting Retailer?," Management Science, INFORMS, vol. 56(9), pages 1584-1598, September.
    4. Ge, Houtian & Gray, Richard & Nolan, James, 2015. "Agricultural supply chain optimization and complexity: A comparison of analytic vs simulated solutions and policies," International Journal of Production Economics, Elsevier, vol. 159(C), pages 208-220.
    5. Zhao, Xuan & Xing, Wei & Liu, Liming & Wang, Shouyang, 2015. "Demand information and spot price information: Supply chains trading in spot markets," European Journal of Operational Research, Elsevier, vol. 246(3), pages 837-849.
    6. Ciancimino, Elena & Cannella, Salvatore & Bruccoleri, Manfredi & Framinan, Jose M., 2012. "On the Bullwhip Avoidance Phase: The Synchronised Supply Chain," European Journal of Operational Research, Elsevier, vol. 221(1), pages 49-63.
    7. Huang, Song & Yang, Jun, 2016. "Information acquisition and transparency in a supply chain with asymmetric production cost information," International Journal of Production Economics, Elsevier, vol. 182(C), pages 449-464.
    8. Zhou, Maosen & Dan, Bin & Ma, Songxuan & Zhang, Xumei, 2017. "Supply chain coordination with information sharing: The informational advantage of GPOs," European Journal of Operational Research, Elsevier, vol. 256(3), pages 785-802.
    9. repec:eee:ejores:v:270:y:2018:i:1:p:260-281 is not listed on IDEAS

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