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Quantity and collection decisions in a closed-loop supply chain with technology licensing

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  • Hong, Xianpei
  • Govindan, Kannan
  • Xu, Lei
  • Du, Peng

Abstract

Industry practice has shown that technology licensing has an important effect on the remanufacturing of patented products by third parties. Different licensing methods significantly impact a supply chain member's production and collection decisions, and they also have influential effects on reverse channel performance. However, there is scant literature investigating the decision on technology licensing and its impact on a supply chain member's production and collection decisions. To address this gap, we consider a manufacturer, as the patent holder, who produces new and remanufactured products and, simultaneously, he and a remanufacturer (as the licensee, who by law can only produce remanufactured products) competitively collects used products from the market in a two-period closed-loop supply chain (CLSC). We investigate two licensing patterns, fixed fee versus royalty, within the CLSC in a Cournot duopoly model. We find that royalty licensing is dominated by fixed fee licensing from the viewpoints of both the consumer surplus and environmental protection. Our result also shows that the manufacturer's optimal licensing strategy is determined by a threshold of the fixed fee: when the fixed fee is below a threshold, it is better for the manufacturer to use a royalty licensing, whereas fixed-fee licensing should be used when the fixed fee is higher than a threshold.

Suggested Citation

  • Hong, Xianpei & Govindan, Kannan & Xu, Lei & Du, Peng, 2017. "Quantity and collection decisions in a closed-loop supply chain with technology licensing," European Journal of Operational Research, Elsevier, vol. 256(3), pages 820-829.
  • Handle: RePEc:eee:ejores:v:256:y:2017:i:3:p:820-829
    DOI: 10.1016/j.ejor.2016.06.051
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    References listed on IDEAS

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    Cited by:

    1. De Giovanni, Pietro & Zaccour, Georges, 2019. "Optimal quality improvements and pricing strategies with active and passive product returns," Omega, Elsevier, vol. 88(C), pages 248-262.
    2. Chen, Yuyu & Li, Bangyi & Zhang, Guoqing & Bai, Qingguo, 2020. "Quantity and collection decisions of the remanufacturing enterprise under both the take-back and carbon emission capacity regulations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    3. Huihui Liu & Xiaohang Yue & Hui Ding & G. Keong Leong, 2017. "Optimal Remanufacturing Certification Contracts in the Electrical and Electronic Industry," Sustainability, MDPI, Open Access Journal, vol. 9(4), pages 1-17, March.
    4. Genc, Talat S. & De Giovanni, Pietro, 2018. "Optimal return and rebate mechanism in a closed-loop supply chain game," European Journal of Operational Research, Elsevier, vol. 269(2), pages 661-681.
    5. Wu, Cheng-Han & Kao, Yi-Jhe, 2018. "Cooperation regarding technology development in a closed-loop supply chain," European Journal of Operational Research, Elsevier, vol. 267(2), pages 523-539.
    6. Talat Genc & Pietro De Giovanni, 2018. "Closed-loop Supply Chain Games with Innovation-led Lean Programs and Sustainability," Working Papers 1803, University of Guelph, Department of Economics and Finance.
    7. Lijun Meng & Qiang Qiang & Zuqing Huang & Baoyou Zhang & Yuxiang Yang, 2020. "Optimal Pricing Strategy and Government Consumption Subsidy Policy in Closed-Loop Supply Chain with Third-Party Remanufacturer," Sustainability, MDPI, Open Access Journal, vol. 12(6), pages 1-29, March.
    8. Kleber, Rainer & Reimann, Marc & Souza, Gilvan C. & Zhang, Weihua, 2020. "Two-sided competition with vertical differentiation in both acquisition and sales in remanufacturing," European Journal of Operational Research, Elsevier, vol. 284(2), pages 572-587.
    9. Genc, Talat S. & De Giovanni, Pietro, 2020. "Closed-loop supply chain games with innovation-led lean programs and sustainability," International Journal of Production Economics, Elsevier, vol. 219(C), pages 440-456.
    10. Chen, Jingxian & Liang, Liang & Yao, Dong-qing, 2017. "An analysis of intellectual property licensing strategy under duopoly competition: Component or product-based?," International Journal of Production Economics, Elsevier, vol. 193(C), pages 502-513.
    11. Reimann, Marc & Xiong, Yu & Zhou, Yu, 2019. "Managing a closed-loop supply chain with process innovation for remanufacturing," European Journal of Operational Research, Elsevier, vol. 276(2), pages 510-518.
    12. Li, Qing & Zhang, Huaige & Hong, Xianpei, 2020. "Knowledge structure of technology licensing based on co-keywords network: A review and future directions," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 154-165.
    13. He, Qidong & Wang, Nengmin & Yang, Zhen & He, Zhengwen & Jiang, Bin, 2019. "Competitive collection under channel inconvenience in closed-loop supply chain," European Journal of Operational Research, Elsevier, vol. 275(1), pages 155-166.
    14. Zhang, Yunrong & Hong, Zhaofu & Chen, Zhixiang & Glock, Christoph H., 2020. "Tax or subsidy? Design and selection of regulatory policies for remanufacturing," European Journal of Operational Research, Elsevier, vol. 287(3), pages 885-900.
    15. Kleber, Rainer & Quariguasi Frota Neto, João & Reimann, Marc, 2020. "Proprietary parts as a secondary market strategy," European Journal of Operational Research, Elsevier, vol. 283(3), pages 929-941.
    16. Wu, Cheng-Han, 2018. "Price competition and technology licensing in a dynamic duopoly," European Journal of Operational Research, Elsevier, vol. 267(2), pages 570-584.
    17. Huang, Yanting & Wang, Zongjun, 2017. "Information sharing in a closed-loop supply chain with technology licensing," International Journal of Production Economics, Elsevier, vol. 191(C), pages 113-127.
    18. Ponte, Borja & Naim, Mohamed M. & Syntetos, Aris A., 2019. "The value of regulating returns for enhancing the dynamic behaviour of hybrid manufacturing-remanufacturing systems," European Journal of Operational Research, Elsevier, vol. 278(2), pages 629-645.
    19. Jinshi Cheng & Bengang Gong & Bangyi Li, 2018. "Cooperation strategy of technology licensing based on evolutionary game," Annals of Operations Research, Springer, vol. 268(1), pages 387-404, September.
    20. Tian, Xiaoyu & Zhang, Zhi-Hai, 2019. "Capacitated disassembly scheduling and pricing of returned products with price-dependent yield," Omega, Elsevier, vol. 84(C), pages 160-174.
    21. Wu, Cheng-Han, 2019. "Licensing to a competitor and strategic royalty choice in a dynamic duopoly," European Journal of Operational Research, Elsevier, vol. 279(3), pages 840-853.
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