IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v270y2018i3p1044-1052.html
   My bibliography  Save this article

Revisiting the value of information sharing in two-stage supply chains

Author

Listed:
  • Teunter, Ruud H.
  • Babai, M. Zied
  • Bokhorst, Jos A.C.
  • Syntetos, Aris A.

Abstract

There is a substantive amount of literature showing that demand information sharing can lead to considerable reduction of the bullwhip effect/inventory costs. The core argument/analysis underlying these results is that the downstream supply-chain member (the retailer) quickly adapts its inventory position to an updated end-customer demand forecast. However, in many real-life situations, retailers adapt slowly rather than quickly to changes in customer demand as they cannot be sure that any change is structural. In this paper, we show that the adaption speed and underlying (unknown) demand process crucially affect the value of information sharing. For the situation with a single upstream supply-chain member (manufacturer) and a single retailer, we consider two demand processes: stationary or random walk. These represent two extremes where a change in customer demand is never or always structural, respectively. The retailer and manufacturer both forecast demand using a moving average, where the manufacturer bases its forecast on retailer demand without information sharing, but on end-customer demand with information sharing. In line with existing results, the value of information turns out to be positive under stationary demand. One contribution, though, is showing that some of the existing papers have overestimated this value by making an unfair comparison. Our most striking and insightful finding is that the value of information is negative when demand follows a random walk and the retailer is slow to react. Slow adaptation is the norm in real-life situations and deserves more attention in future research – exploring when information sharing indeed pays off.

Suggested Citation

  • Teunter, Ruud H. & Babai, M. Zied & Bokhorst, Jos A.C. & Syntetos, Aris A., 2018. "Revisiting the value of information sharing in two-stage supply chains," European Journal of Operational Research, Elsevier, vol. 270(3), pages 1044-1052.
    • Handle: RePEc:eee:ejores:v:270:y:2018:i:3:p:1044-1052
    DOI: 10.1016/j.ejor.2018.04.040
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377221718303606
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ejor.2018.04.040?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hosseini-Motlagh, Seyyed-Mahdi & Choi, Tsan-Ming & Johari, Maryam & Nouri-Harzvili, Mina, 2022. "A profit surplus distribution mechanism for supply chain coordination: An evolutionary game-theoretic analysis," European Journal of Operational Research, Elsevier, vol. 301(2), pages 561-575.
    2. Liu, Weihua & Wei, Wanying & Choi, Tsan-Ming & Yan, Xiaoyu, 2022. "Impacts of leadership on corporate social responsibility management in multi-tier supply chains," European Journal of Operational Research, Elsevier, vol. 299(2), pages 483-496.
    3. Gupta, Varun & Ivanov, Dmitry & Choi, Tsan-Ming, 2021. "Competitive pricing of substitute products under supply disruption," Omega, Elsevier, vol. 101(C).
    4. Guo, Shu & Choi, Tsan-Ming & Chung, Sai-Ho, 2022. "Self-design fun: Should 3D printing be employed in mass customization operations?," European Journal of Operational Research, Elsevier, vol. 299(3), pages 883-897.
    5. Sun, Zhengwei & Hupman, Andrea C. & Abbas, Ali E., 2021. "The value of information for price dependent demand," European Journal of Operational Research, Elsevier, vol. 288(2), pages 511-522.
    6. Dou, Guowei & Choi, Tsan-Ming, 2021. "Does implementing trade-in and green technology together benefit the environment?," European Journal of Operational Research, Elsevier, vol. 295(2), pages 517-533.
    7. Zhang, Shuguang & Dan, Bin & Zhou, Maosen, 2019. "After-sale service deployment and information sharing in a supply chain under demand uncertainty," European Journal of Operational Research, Elsevier, vol. 279(2), pages 351-363.
    8. Choi, Tsan-Ming & Guo, Shu, 2020. "Is a ‘free lunch’ a good lunch? The performance of zero wholesale price-based supply-chain contracts," European Journal of Operational Research, Elsevier, vol. 285(1), pages 237-246.
    9. Lu, Jizhou & Feng, Gengzhong & Shum, Stephen & Lai, Kin Keung, 2021. "On the value of information sharing in the presence of information errors," European Journal of Operational Research, Elsevier, vol. 294(3), pages 1139-1152.
    10. Sinha, Priyank & Kumar, Sameer & Prakash, Surya, 2020. "Measuring and mitigating the effects of cost disturbance propagation in multi-echelon apparel supply chains," European Journal of Operational Research, Elsevier, vol. 282(1), pages 148-160.
    11. Ponte, Borja & Framinan, Jose M. & Cannella, Salvatore & Dominguez, Roberto, 2020. "Quantifying the Bullwhip Effect in closed-loop supply chains: The interplay of information transparencies, return rates, and lead times," International Journal of Production Economics, Elsevier, vol. 230(C).
    12. Bai, Qingguo & Xu, Jianteng & Gong, Yeming & Chauhan, Satyaveer S., 2022. "Robust decisions for regulated sustainable manufacturing with partial demand information: Mandatory emission capacity versus emission tax," European Journal of Operational Research, Elsevier, vol. 298(3), pages 874-893.
    13. Szilvia Botos & Róbert Szilágyi & János Felföldi & Mihály Tóth, 2020. "Readiness for ICT Based B2C Information Flow – Case Study of the Hungarian Food Sector," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 12(2), June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:270:y:2018:i:3:p:1044-1052. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.