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Negotiation of the revenue sharing contract: An agent-based systems approach

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  • Giannoccaro, Ilaria
  • Pontrandolfo, Pierpaolo

Abstract

This paper focuses on the implementation issues of the revenue sharing (RS) contract. This is a coordination mechanism, which aligns the incentives of independent SC actors so as to induce them to act in such a way that is optimal for the supply chain as a whole (channel coordination). The literature pays attention mainly to the design of the contract parameters so as to assure the channel coordination, whereas much less emphasis is given to the analysis of the conditions supporting the contract implementation. Even if an effective RS contract exists for a given SC, this does not imply that the SC agents will adopt it. In fact, they need to reach an agreement on the values of the contracts parameters, given that they influence their profit. As a result, every SC actor will tend to impose her own preferences that could not be accepted by the others. We model the negotiation process among the SC actors by adopting agent-based simulation. This is particularly useful to model independent actors that need to coordinate among each other. The proposed model takes into account the main variables influencing the behavior of the SC actors in the negotiation process; namely the contractual power and the collaboration among the SC actors. Finally, we carry out a simulation analysis aimed at identifying the scenarios which favor the use of the RS contract.

Suggested Citation

  • Giannoccaro, Ilaria & Pontrandolfo, Pierpaolo, 2009. "Negotiation of the revenue sharing contract: An agent-based systems approach," International Journal of Production Economics, Elsevier, vol. 122(2), pages 558-566, December.
  • Handle: RePEc:eee:proeco:v:122:y:2009:i:2:p:558-566
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    References listed on IDEAS

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    Cited by:

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    6. J-M Chen & H-L Cheng & I-C Lin, 2011. "On channel coordination under price-dependent revenue-sharing: can eBay's fee structure coordinate the channel?," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(11), pages 1992-2001, November.
    7. Govindan, Kannan & Popiuc, Maria Nicoleta, 2014. "Reverse supply chain coordination by revenue sharing contract: A case for the personal computers industry," European Journal of Operational Research, Elsevier, vol. 233(2), pages 326-336.
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    9. Palsule-Desai, Omkar D., 2013. "Supply chain coordination using revenue-dependent revenue sharing contracts," Omega, Elsevier, vol. 41(4), pages 780-796.
    10. Pietro Giovanni, 2017. "Closed-loop supply chain coordination through incentives with asymmetric information," Annals of Operations Research, Springer, vol. 253(1), pages 133-167, June.
    11. Pietro De Giovanni, 2016. "Coordination in a distribution channel with decisions on the nature of incentives and share-dependency on pricing," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(8), pages 1034-1049, August.
    12. Hu, Benyong & Meng, Chao & Xu, Dong & Son, Young-Jun, 2016. "Three-echelon supply chain coordination with a loss-averse retailer and revenue sharing contracts," International Journal of Production Economics, Elsevier, vol. 179(C), pages 192-202.
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    14. Meng, Qingfeng & Li, Zhen & Liu, Huimin & Chen, Jingxian, 2017. "Agent-based simulation of competitive performance for supply chains based on combined contracts," International Journal of Production Economics, Elsevier, vol. 193(C), pages 663-676.
    15. Jen-Ming Chen & Hung-Liang Cheng, 2012. "Effect of the price-dependent revenue-sharing mechanism in a decentralized supply chain," 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. 20(2), pages 299-317, June.
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