隨著環保議題的抬頭與網際網路的快速發展，廠商管理廢舊產品的商業模式逐漸改變，多樣的回收和以舊換新通路讓消費者有更多的選擇，消費者可以依據自己的偏好與習慣選擇相應的回收通路，然而不同的通路也會有不同的考量，例如透過製造商自建之線上通路可能較有保障，但服務據點較少，而透過第三方網路平台則可能據點較多，但必須冒一定程度之風險，製造商為了滿足不同通路偏好的消費者，也會開始改變其通路結構，期望能夠獲得更多利潤，因此製造商如何選擇合適的通路配置與相關之定價策略變成為了重要的議題。

本研究主要探討一製造商為了因應網路時代來臨，在考量產品品質下透過不同模式下之線上通路進行回收和以舊換新，並同時考慮有另一第三方網路平台能夠完全或是部分協助製造商進行線上回收和以舊換新，此外相較於製造商，第三方網路平台必須花費一定程度之努力來取得消費者之信任同時也能夠觸及更多消費者，因此本研究將針對自行與委外通路下考慮回收與以舊換新之情形，並討論製造商與第三方網路平台之互動與結構，進而組合成以下三種情境：1.透過自建線上通路2.透過第三方網路平台3.同時透過自建線上通路與第三方網路平台之線上通路，並探討各情境下分析製造商之最佳決策。結果顯示當自建通路的營運成本低於門檻值時，製造商會透過自建線上通路進行以舊換新以獲得全數利潤，無論外包比例多少，然而當營運成本逐漸增加時，製造商會在特定的外包比例範圍內轉往透過自建與第三方之線上雙通路以獲得最佳利潤；最後當考量製造商支付一次性費用時，僅當委託之一次性費用高昂且外包之一次性費用低廉時，製造商透過雙通路會存在最佳利潤，除此情況外，當外包之一次性費用高昂時，製造商會選擇全數委託第三方網路平台；反之亦然。

With the rise of environmental issues and the rapid development of the Internet, manufacturers evolve their business models in managing obsolete products. Various recycling and trade-in channels provide consumers more choices. For example, online channels established by manufacturers may be more secure but have fewer service points, whilst third-party platforms may have more service points but comes with a certain degree of risk. To satisfy consumers with different channel preferences, manufacturers will also start to change their channel structure to maximize their profits. Thus, selecting an appropriate channel configuration and related pricing strategy becomes crucial. This study focuses on how manufacturers adapt to the internet era by leveraging different online channels for recycling and trade-ins, with consideration of the quality of obsolete products, and the full or partial assistance of third-party online platforms for the manufacturer in online recycling and trade-ins is also considered. A third-party online platform has to put in considerable effort to gain the trust of consumers and reach more consumers. Therefore, this study investigates the interaction and structure of the manufacturer and the third-party online platform, with consideration of recycling and trade-ins under both the self-built and outsourcing channels, and the following three scenarios are considered: (1) a self-built online channel, (2) a third-party online platform, and (3) a dual channel: a self-built and a third-party online platform, to obtain the analysis of the optimal strategy of each scenario for the manufacturer. The result indicates that manufacturers prefer self-built channels when operating cost of the self-built channel is lower than the threshold. Regardless of the proportion of the outsourcing channel, the manufacturer will carry out trade-ins via its self-built online channel to obtain profits. However, as the operating cost gradually increases, the manufacturer will adopt a dual channel with both the self-built and third-party online channels to obtain the optimal profit within a specific outsourcing proportion. In summary, managers can adopt the model to determine their pricing strategies.

Chu, X., Zhong, Q., & Li, X. (2018). Reverse channel selection decisions with a joint third-party recycler. International Journal of Production Research, 56(18), 5969-5981. https://doi.org/10.1080/00207543.2018.1442944
Fan, X., Guo, X., & Wang, S. (2022). Optimal collection delegation strategies in a retail-/dual-channel supply chain with trade-in programs. European Journal of Operational Research, 303(2), 633-649. https://doi.org/https://doi.org/10.1016/j.ejor.2022.02.053
Feng, L., Govindan, K., & Li, C. (2017). Strategic planning: Design and coordination for dual-recycling channel reverse supply chain considering consumer behavior. European Journal of Operational Research, 260(2), 601-612. https://doi.org/https://doi.org/10.1016/j.ejor.2016.12.050
Feng, L., Li, Y., Xu, F., & Deng, Q. (2019). Optimal pricing and trade-in policies in a dual-channel supply chain when considering market segmentation. International Journal of Production Research, 57(9), 2828-2846. https://doi.org/10.1080/00207543.2018.1551636
Guo, Q., Li, Z., & Nie, J. (2020). Strategic Analysis of the Online Recycler’s Reselling Channel Selection: Agency or Self-Run. Sustainability, 12(1).
Guo, X., Li, X., Bian, J., & Yang, C. (2023). Deposit or reward: Express packaging recycling for online retailing platforms. Omega, 117, 102828. https://doi.org/https://doi.org/10.1016/j.omega.2022.102828
He, Q., Wang, N., Yang, Z., He, Z., & Jiang, B. (2019). Competitive collection under channel inconvenience in closed-loop supply chain. European Journal of Operational Research, 275(1), 155-166. https://doi.org/https://doi.org/10.1016/j.ejor.2018.11.034
Hu, S., Ma, Z.-J., & Sheu, J.-B. (2019). Optimal prices and trade-in rebates for successive-generation products with strategic consumers and limited trade-in duration. Transportation Research Part E: Logistics and Transportation Review, 124, 92-107. https://doi.org/https://doi.org/10.1016/j.tre.2019.02.004
Hu, S., Zhu, S. X., & Fu, K. (2023). Optimal trade-in and refurbishment strategies for durable goods. European Journal of Operational Research, 309(1), 133-151. https://doi.org/https://doi.org/10.1016/j.ejor.2023.01.032
Huang, Y., Liang, Y., Gong, Y., & Yuan, Z. (2023). Role of trust-building in online recycling platforms. International Journal of Production Economics, 263, 108962. https://doi.org/https://doi.org/10.1016/j.ijpe.2023.108962
Huang, Y. S., Lin, C. J., & Fang, C. C. (2019). A Study on Recycle Schedules for Trade-In Rebates With Consideration of Product Life Cycle. IEEE Transactions on Engineering Management, 66(3), 475-490. https://doi.org/10.1109/TEM.2018.2840104
Jin, L., Zheng, B., & Huang, S. (2021). Pricing and coordination in a reverse supply chain with online and offline recycling channels: A power perspective. Journal of Cleaner Production, 298, 126786. https://doi.org/https://doi.org/10.1016/j.jclepro.2021.126786
Li, Y., Wang, K., Xu, F., & Fan, C. (2022). Management of trade-in modes by recycling platforms based on consumer heterogeneity. Transportation Research Part E: Logistics and Transportation Review, 162, 102721. https://doi.org/https://doi.org/10.1016/j.tre.2022.102721
Liu, Y., & Xiao, T. (2020). Pricing and Collection Rate Decisions and Reverse Channel Choice in a Socially Responsible Supply Chain With Green Consumers. IEEE Transactions on Engineering Management, 67(2), 483-495. https://doi.org/10.1109/TEM.2018.2887118
Qiao, Q., Zhao, F., Liu, Z., & Hao, H. (2019). Electric vehicle recycling in China: Economic and environmental benefits. Resources, Conservation and Recycling, 140, 45-53. https://doi.org/https://doi.org/10.1016/j.resconrec.2018.09.003
Qiu, R., Li, X., & Sun, M. (2023). Vertical integration of an online secondhand platform and a recycling platform under different power structures. European Journal of Operational Research, 310(1), 286-301. https://doi.org/https://doi.org/10.1016/j.ejor.2023.02.010
Qu, Y., Zhang, Y., Guo, L., Cao, Y., & Zhu, P. (2022). Decision strategies for the WEEE reverse supply chain under the “Internet + recycling” model. Computers & Industrial Engineering, 172, 108532. https://doi.org/https://doi.org/10.1016/j.cie.2022.108532
Quan, Y., Hong, J., Song, J., & Leng, M. (2021). Game-theoretic analysis of trade-in services in closed-loop supply chains. Transportation Research Part E: Logistics and Transportation Review, 152, 102428. https://doi.org/https://doi.org/10.1016/j.tre.2021.102428
Suvadarshini, P., Biswas, I., & Srivastava, S. K. (2023). Impact of reverse channel competition, individual rationality, and information asymmetry on multi-channel closed-loop supply chain design. International Journal of Production Economics, 259, 108818. https://doi.org/https://doi.org/10.1016/j.ijpe.2023.108818
Taleizadeh, A. A., & Sadeghi, R. (2019). Pricing strategies in the competitive reverse supply chains with traditional and e-channels: A game theoretic approach. International Journal of Production Economics, 215, 48-60. https://doi.org/https://doi.org/10.1016/j.ijpe.2018.06.011
Wang, J., Xu, M., & Zou, L. (2022). Pricing decisions of the “Internet +” recycling platform considering consumer behaviour. Computers & Industrial Engineering, 174, 108831. https://doi.org/https://doi.org/10.1016/j.cie.2022.108831
Wang, J., Zhang, T., & Fan, X. (2020). Reverse channel design with a dominant retailer and upstream competition in emerging markets: Retailer- or manufacturer- collection? Transportation Research Part E: Logistics and Transportation Review, 137, 101924. https://doi.org/https://doi.org/10.1016/j.tre.2020.101924
Wang, N., Song, Y., He, Q., & Jia, T. (2020). Competitive dual-collecting regarding consumer behavior and coordination in closed-loop supply chain. Computers & Industrial Engineering, 144, 106481. https://doi.org/https://doi.org/10.1016/j.cie.2020.106481
Wang, Y.-Y., Chen, Y.-L., Cheng, W., Wang, J.-C., & Tao, F. (2023). Equilibrium analysis of transaction modes and recycling channels in a closed-loop supply chain with an online platform. Computers & Industrial Engineering, 177, 109090. https://doi.org/https://doi.org/10.1016/j.cie.2023.109090
Wang, Y., Jiang, Q., Guan, X., & Guan, X. (2023). Recycling channel design and coordination in a reverse supply chain with customer green preference. Transportation Research Part E: Logistics and Transportation Review, 179, 103329. https://doi.org/https://doi.org/10.1016/j.tre.2023.103329
Wang, Y., Yu, Z., Shen, L., & Jin, M. (2022). Operational modes of E-closed loop supply chain considering platforms’ services. International Journal of Production Economics, 251, 108551. https://doi.org/https://doi.org/10.1016/j.ijpe.2022.108551
Wu, D., Chen, J., Li, P., & Zhang, R. (2020). Contract coordination of dual channel reverse supply chain considering service level. Journal of Cleaner Production, 260, 121071. https://doi.org/https://doi.org/10.1016/j.jclepro.2020.121071
Xiao, L., Wang, X.-J., & Chin, K.-S. (2020). Trade-in strategies in retail channel and dual-channel closed-loop supply chain with remanufacturing. Transportation Research Part E: Logistics and Transportation Review, 136, 101898. https://doi.org/https://doi.org/10.1016/j.tre.2020.101898
Xiao, Y., & Zhou, S. X. (2020). Trade-in for Cash or for Upgrade? Dynamic Pricing with Customer Choice [https://doi.org/10.1111/poms.13140]. Production and Operations Management, 29(4), 856-881. https://doi.org/https://doi.org/10.1111/poms.13140
Zhang, F., & Zhang, R. (2018). Trade-in Remanufacturing, Customer Purchasing Behavior, and Government Policy. Manufacturing & Service Operations Management, 20(4), 601-616. https://doi.org/10.1287/msom.2017.0696
Zheng, B., Yang, C., Yang, J., & Zhang, M. (2017). Dual-channel closed loop supply chains: forward channel competition, power structures and coordination. International Journal of Production Research, 55(12), 3510-3527. https://doi.org/10.1080/00207543.2017.1304662