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Information sharing in supply chains with heterogeneous retailers

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  • Dominguez, Roberto
  • Cannella, Salvatore
  • Barbosa-Póvoa, Ana P.
  • Framinan, Jose M.

Abstract

This work analyses partial information sharing involving retailers with different operational configurations. Retailers are characterized by four operational factors, i.e., demand variance, lead time average, forecasting period and inventory policy. The findings show that the performance improvement based on information sharing depends on retailers’ operational factors. Consequently, partial information sharing structures need to be carefully designed in order to achieve a substantial performance improvement. The results also serve to provide innovative recommendations to supply chain managers in order to efficiently implement information sharing mechanisms at retailers.

Suggested Citation

  • Dominguez, Roberto & Cannella, Salvatore & Barbosa-Póvoa, Ana P. & Framinan, Jose M., 2018. "Information sharing in supply chains with heterogeneous retailers," Omega, Elsevier, vol. 79(C), pages 116-132.
    • Handle: RePEc:eee:jomega:v:79:y:2018:i:c:p:116-132
    DOI: 10.1016/j.omega.2017.08.005
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    6. Huang, Shupeng & Potter, Andrew & Eyers, Daniel & Li, Qinyun, 2021. "The influence of online review adoption on the profitability of capacitated supply chains," Omega, Elsevier, vol. 105(C).
    7. Shou, Biying & Fang, Yaner & Li, Zhaolin, 2022. "Information acquisition and voluntary disclosure with supply chain and capital market interaction," European Journal of Operational Research, Elsevier, vol. 297(3), pages 878-889.
    8. Dominguez, Roberto & Cannella, Salvatore & Ponte, Borja & Framinan, Jose M., 2020. "On the dynamics of closed-loop supply chains under remanufacturing lead time variability," Omega, Elsevier, vol. 97(C).
    9. Weidong Zhang & Fuqiang Wang, 2022. "Information Sharing in Competing Supply Chains with Carbon Emissions Reduction Incentives," Sustainability, MDPI, vol. 14(20), pages 1-25, October.
    10. Roberto Dominguez & Salvatore Cannella, 2020. "Insights on Multi-Agent Systems Applications for Supply Chain Management," Sustainability, MDPI, vol. 12(5), pages 1-13, March.
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    15. Tiwari, Sunil & Kazemi, Nima & Modak, Nikunja Mohan & Cárdenas-Barrón, Leopoldo Eduardo & Sarkar, Sumon, 2020. "The effect of human errors on an integrated stochastic supply chain model with setup cost reduction and backorder price discount," International Journal of Production Economics, Elsevier, vol. 226(C).
    16. 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.
    17. Nguyen, Duy Tan & Adulyasak, Yossiri & Landry, Sylvain, 2021. "Research manuscript: The Bullwhip Effect in rule-based supply chain planning systems–A case-based simulation at a hard goods retailer," Omega, Elsevier, vol. 98(C).
    18. Jiali Wang & Xue Peng & Yunan Du & Fulin Wang, 2022. "A tripartite evolutionary game research on information sharing of the subjects of agricultural product supply chain with a farmer cooperative as the core enterprise," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(1), pages 159-177, January.

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