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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.

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  • 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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    Cited by:

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    3. Jialu Li & Meiying Yang & Xuan Zhao, 2019. "Quantifying and mitigating inefficiency in information acquisition under competition," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(4), pages 985-1007, December.
    4. Baake Pio & Harasser Andreas & Heiny Friederike, 2017. "Information Acquisition in Vertical Relations," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 17(1), pages 1-13, February.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Xing, Wei & Li, Qiankun & Zhao, Xuan & Li, Jialu, 2020. "Information sale and contract selection under downstream competition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    11. Knoll, Susanne & Padula, Antonio Domingos & Crespolini dos Santos, Mariane & Pumi, Guilherme & Zhou, Shudong & Zhong, Funing & Jardim Barcellos, Julio Otavio, 2018. "Information flow in the Sino-Brazilian beef trade," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 21(1).
    12. Zhiyuan Wang & Zhiqiang (Eric) Zheng & Wei Jiang & Shaojie Tang, 2021. "Blockchain‐Enabled Data Sharing in Supply Chains: Model, Operationalization, and Tutorial," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 1965-1985, July.
    13. Li, Xi & Liu, Qian, 2023. "Strategic ignorance: Managing endogenous demand in a supply chain," Omega, Elsevier, vol. 114(C).
    14. Guan, Xu & Huang, Song & Chen, Ying-Ju, 2022. "Acquisition transparency and induced supplier encroachment," Omega, Elsevier, vol. 108(C).
    15. Huang, Song & Guan, Xu & Xiao, Binqing, 2018. "Incentive provision for demand information acquisition in a dual-channel supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 42-58.
    16. Wang, Jiao & Liu, Zhibing & Zhao, Ruiqing, 2019. "On the interaction between asymmetric demand signal and forecast accuracy information," European Journal of Operational Research, Elsevier, vol. 277(3), pages 857-874.
    17. 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.
    18. Fatma Lehyani & Alaeddine Zouari, 2015. "Evaluating And Measuring Knowledge Management's Impact On Supply Chain Performance Using HOQ," Post-Print hal-01893159, HAL.
    19. Weber, Thomas A. & Nguyen, Viet Anh, 2018. "A linear-quadratic Gaussian approach to dynamic information acquisition," European Journal of Operational Research, Elsevier, vol. 270(1), pages 260-281.

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