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Information sharing in a supply chain

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  • Hau L. Lee, Seungjin Whang

Abstract

Advances in information system technology have had a huge impact on the evolution of supply chain management. As a result of such technological advances, supply chain partners can now work in tight coordination to optimise the chain-wide performance, and the realised return may be shared among the partners. A basic enabler for tight coordination is information sharing, which has been greatly facilitated by the advances in information technology. This paper describes the types of information shared inventory, sales, demand forecast, order status, and production schedule. We discuss how and why this information is shared using industry examples and relating them to academic research. We also discuss three alternative system models of information sharing - the information transfer model, the third party model and the information hub model.

Suggested Citation

  • Hau L. Lee, Seungjin Whang, 2000. "Information sharing in a supply chain," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 1(1), pages 79-93.
    • Handle: RePEc:ids:ijmtma:v:1:y:2000:i:1:p:79-93
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    Citations

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    Cited by:

    1. Bivin, David, 2013. "Production chains and aggregate output volatility," International Journal of Production Economics, Elsevier, vol. 145(2), pages 807-816.
    2. Pastore, Erica & Alfieri, Arianna & Zotteri, Giulio, 2019. "An empirical investigation on the antecedents of the bullwhip effect: Evidence from the spare parts industry," International Journal of Production Economics, Elsevier, vol. 209(C), pages 121-133.
    3. Xavier Brusset, 2005. "How information influences the cost of transport in a supply chain, a monte carlo simulation," Econometrics 0512008, University Library of Munich, Germany.
    4. Arcan Nalca, & Tamer Boyaci, & Saibal Ray, 2017. "Brand positioning and consumer taste information," ESMT Research Working Papers ESMT-17-01_R1, ESMT European School of Management and Technology, revised 04 Dec 2017.
    5. Layth C. Alwan & Christian H. Weiß, 2017. "INAR implementation of newsvendor model for serially dependent demand counts," International Journal of Production Research, Taylor & Francis Journals, vol. 55(4), pages 1085-1099, February.
    6. S. Li & Z. Yu & M. Dong, 2015. "Construct the stable vendor managed inventory partnership through a profit-sharing approach," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(2), pages 271-283, January.
    7. Arcan Nalca, & Tamer Boyaci, & Saibal Ray, 2017. "Consumer taste uncertainty in the context of store brand and national brand competition," ESMT Research Working Papers ESMT-17-01, ESMT European School of Management and Technology.
    8. Joel H. Steckel & Sunil Gupta & Anirvan Banerji, 2004. "Supply Chain Decision Making: Will Shorter Cycle Times and Shared Point-of-Sale Information Necessarily Help?," Management Science, INFORMS, vol. 50(4), pages 458-464, April.
    9. Qinyun Li & Stephen M. Disney, 2017. "Revisiting rescheduling: MRP nervousness and the bullwhip effect," International Journal of Production Research, Taylor & Francis Journals, vol. 55(7), pages 1992-2012, April.
    10. Moellers, Claudia & Normann, Hans-Theo & Snyder, Christopher M., 2017. "Communication in vertical markets: Experimental evidence," International Journal of Industrial Organization, Elsevier, vol. 50(C), pages 214-258.
    11. Gillen, David & Hasheminia, Hamed, 2016. "Measuring reliability of transportation networks using snapshots of movements in the network – An analytical and empirical study," Transportation Research Part B: Methodological, Elsevier, vol. 93(PB), pages 808-824.
    12. Chih-Yang Tsai, 2017. "The impact of cost structure on supply chain cash flow risk," International Journal of Production Research, Taylor & Francis Journals, vol. 55(22), pages 6624-6637, November.
    13. Luca Urciuoli & Juha Hintsa, 2021. "Can digital ecosystems mitigate risks in sea transport operations? Estimating benefits for supply chain stakeholders," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 23(2), pages 237-267, June.
    14. Junhai Ma & Xiaogang Ma, 2017. "Measure of the bullwhip effect considering the market competition between two retailers," International Journal of Production Research, Taylor & Francis Journals, vol. 55(2), pages 313-326, January.
    15. Yue, Xiaohang & Mukhopadhyay, Samar K. & Zhu, Xiaowei, 2006. "A Bertrand model of pricing of complementary goods under information asymmetry," Journal of Business Research, Elsevier, vol. 59(10-11), pages 1182-1192, October.
    16. Judith Molka-Danielsen & Per Engelseth & Bich Thi Ngoc Le, 2017. "Vendor-managed inventory as data interchange strategy in the networked collaboration of a Vietnam ship parts supplier and its customers," Information Technology for Development, Taylor & Francis Journals, vol. 23(3), pages 597-617, July.
    17. Mukhopadhyay, Samar K. & Yao, Dong-Qing & Yue, Xiaohang, 2008. "Information sharing of value-adding retailer in a mixed channel hi-tech supply chain," Journal of Business Research, Elsevier, vol. 61(9), pages 950-958, September.
    18. Huihui Liu & Shuguang Sun & Ming Lei & Honghui Deng & G. Keong Leong, 2017. "The impact of retailers’ alliance on manufacturer’s profit in a dual-channel structure," International Journal of Production Research, Taylor & Francis Journals, vol. 55(22), pages 6592-6607, November.
    19. Abdel-Malek, Layek & Kullpattaranirun, Tarathorn & Nanthavanij, Suebsak, 2005. "A framework for comparing outsourcing strategies in multi-layered supply chains," International Journal of Production Economics, Elsevier, vol. 97(3), pages 318-328, September.

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