Optimal quality improvements and pricing strategies with active and passive product returns

Citations

Cited by:

1. Wang, Yu & Li, Minqiang & Feng, Haiyang & Feng, Nan, 2023. "Which is better for competing firms with quality increasing: behavior-based price discrimination or uniform pricing?," Omega, Elsevier, vol. 118(C).
2. Wei Peng & Baogui Xin & Yekyung Kwon, 2019. "Optimal Strategies of Product Price, Quality, and Corporate Environmental Responsibility," IJERPH, MDPI, vol. 16(23), pages 1-24, November.
3. De Giovanni, Pietro & Cariola, Alfio, 2021. "Process innovation through industry 4.0 technologies, lean practices and green supply chains," Research in Transportation Economics, Elsevier, vol. 90(C).
4. Zhang, Qiao & Chen, Jing & Lin, Jun, 2022. "Market targeting with social influences and risk aversion in a co-branding alliance," European Journal of Operational Research, Elsevier, vol. 297(1), pages 301-318.
5. Yang, Feng & Wang, Manman & Ang, Sheng, 2021. "Optimal remanufacturing decisions in supply chains considering consumers’ anticipated regret and power structures," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 148(C).
6. Sarmah, Archita & De Giovanni, Domenico & De Giovanni, Pietro, 2020. "Compulsory licenses in the pharmaceutical industry: Pricing and R&D strategies," European Journal of Operational Research, Elsevier, vol. 282(3), pages 1053-1069.
7. Pietro De Giovanni, 2019. "Digital Supply Chain through Dynamic Inventory and Smart Contracts," Mathematics, MDPI, vol. 7(12), pages 1-25, December.
8. Pietro Giovanni & Georges Zaccour, 2019. "A selective survey of game-theoretic models of closed-loop supply chains," 4OR, Springer, vol. 17(1), pages 1-44, March.
9. Anton, Ramona & Chenavaz, Régis Y. & Paraschiv, Corina, 2023. "Dynamic pricing, reference price, and price-quality relationship," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
10. Chen, Pengyu & Liu, Xu & Wang, Qin & Zhou, Pin, 2022. "The Implications of Competition on Strategic Inventories Considering Manufacturer-to-Consumer Rebates," Omega, Elsevier, vol. 107(C).
11. Wenting Pan & Candice H. Huynh, 2023. "Optimal operational strategies for online retailers with demand and return uncertainty," Operations Management Research, Springer, vol. 16(2), pages 755-767, June.
12. Du, Xianjin & Zhan, Huimin & Zhu, Xiaoxuan & He, Xiuli, 2021. "The upstream innovation with an overconfident manufacturer in a supply chain," Omega, Elsevier, vol. 105(C).
13. Shin, Youngchul & Lee, Sangyoon & Moon, Ilkyeong, 2020. "Robust multiperiod inventory model considering trade-in program and refurbishment service: Implications to emerging markets," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
14. Zhou, Tao & Li, Kai, 2024. "Designing manufacturer’s new product technology for a closed-loop supply chain with consumer context effect," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 188(C).
15. Elnaz Kanani Kuchesfehani & Elena M. Parilina & Georges Zaccour, 2023. "Revenue and cost sharing contract in a dynamic closed-loop supply chain with uncertain parameters," Annals of Operations Research, Springer, vol. 322(2), pages 851-877, March.
16. De Giovanni, Pietro, 2020. "Blockchain and smart contracts in supply chain management: A game theoretic model," International Journal of Production Economics, Elsevier, vol. 228(C).
17. De Giovanni, Pietro, 2021. "Smart Supply Chains with vendor managed inventory, coordination, and environmental performance," European Journal of Operational Research, Elsevier, vol. 292(2), pages 515-531.
18. Yang, Rui & Feng, Lin & Zhang, Jianxiong & Li, Xiangqian, 2024. "Co-creation in a duopoly considering the effect of product return," Omega, Elsevier, vol. 129(C).
19. Rezaee Vessal, Sara & De Giovanni, Pietro & Hassanzadeh, Alborz, 2022. "Technology and service investments in the presence of feature fatigue and word-of-mouth," European Journal of Operational Research, Elsevier, vol. 301(3), pages 923-941.
20. Guo, Xiongfei & Chen, Jing & Wu, Jie & Zhang, Tinglong & Zhang, Hui, 2024. "Returns policy, in-store service, and contract strategies in the presence of customer returns," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 186(C).
21. Li, Dong & Mishra, Nishant, 2021. "Engaging suppliers for reliability improvement under outcome-based compensations," Omega, Elsevier, vol. 102(C).
22. Rui Hou & Zibin Cui & You Zhao, 2022. "Pricing leadership decisions of competing firms with consumer learning," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 2326-2346, September.
23. Duan, Yongrui & Song, Jia, 2024. "The adoption of live streaming channel considering impulse buying and product returns," International Journal of Production Economics, Elsevier, vol. 274(C).
24. Pietro De Giovanni & Georges Zaccour, 2022. "A selective survey of game-theoretic models of closed-loop supply chains," Annals of Operations Research, Springer, vol. 314(1), pages 77-116, July.
25. Yanrong Li & Lai Wei & Wei Jiang, 2021. "A Two-stage Pricing Strategy Considering Learning Effects and Word-of-Mouth," Papers 2110.11581, arXiv.org.
26. Ma, Deqing & Hu, Jinsong, 2022. "The optimal combination between blockchain and sales format in an internet platform-based closed-loop supply chain," International Journal of Production Economics, Elsevier, vol. 254(C).
27. Pietro De Giovanni, 2020. "Recursive Effects to Study Feature-Based Capabilities in Supply Chain Management," Logistics, MDPI, vol. 4(4), pages 1-17, November.
28. Jalali, Hamed & Ansaripoor, Amir H. & De Giovanni, Pietro, 2020. "Closed-loop supply chains with complementary products," International Journal of Production Economics, Elsevier, vol. 229(C).