Abstract
Business practices demonstrate that firms can offer dual-channel trade-in programs by cooperating with a third-party trade-in service platform (i.e., cooperation mode) or on their own (i.e., self-building mode). This paper develops an analytical model to investigate the effect of a specific trade-in operation mode on the profitability of a dual-channel firm that implements a trade-in program. We characterize the equilibrium between the firm and the service platform. We identify the threshold of the self-building operational cost, above (below) which the firm’s profit under the self-building mode is less (greater) than that under the cooperation mode. We find that the cooperation mode is more beneficial to both consumers and a firm compared with the self-building mode when the consumer waiting cost is minor-to-moderate and the market potential of the cooperation mode is relatively high, which will improve social welfare due to the decrease in operational cost and product price. Finally, we consider a cooperative bargaining situation under the cooperation mode. We find that both the firm and the service platform will obtain more profits from the bargaining solution in a bilateral negotiation compared with the case of a dynamic game.
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We do not analyze or generate any datasets, because our work proceeds within a theoretical and mathematical approach.
Notes
In some business practices, the trade-in rebate can be determined by firm \(A\) under cooperation mode. For example, Huawei and Aihuishou, Lenovo and NextWorth, HP company and Phobio, are cooperatively implementing trade-in programs. When implementing the trade-in program, the firms such as Huawei, Lenovo, and HP determine the trade-in rebates independently (See https://vmall.aihuishou.com/, https://news.lenovo.com/pressroom/press-releases/lenovo-and-nextworth-announce-consumer-electronics-trade-in-program/, and https://www.phobio.com/ for more information).
References
Cao, K., Xu, X., Bian, Y., & Sun, Y. (2019). Optimal trade-in strategy of business-to-consumer platform with dual-format retailing model. Omega, 82, 181–192.
Feng, Z., Luo, N., & Liu, Y. (2021). Trade-in strategy and competition between two independent remanufacturers. International Journal of Environmental Research and Public Health, 18(13), 6745.
Sun, L., Jiao, X., Guo, X., & Yu, Y. (2022). Pricing policies in dual distribution channels: The reference effect of official prices. European Journal of Operational Research, 296, 146–157.
Ye, F., Xie, Z., Tong, Y., & Li, Y. (2020). Promised delivery time: Implications for retailer’s optimal sales channel strategy. Computers & Industrial Engineering, 144, 106474.
Liu, L., Feng, L., Xu, B., & Deng, W. (2020). Operation strategies for an omni-channel supply chain: Who is better off taking on the online channel and offline service? Electronic Commerce Research and Applications, 39, 100918.
Luo, L., & Sun, J. (2016). New product design under channel acceptance: Brick-and-mortar, online-exclusive, or brick-and-click. Production & Operations Management, 25(12), 2014–2034.
Zhang, P., He, Y., & Shi, C. (2017). Retailer’s channel structure choice: Online channel, offline channel, or dual channels? International Journal of Production Economics, 191, 37–50.
Liu, W., Liang, Y., Tang, O., Shi, V., & Liu, X. (2021). Cooperate or not? Strategic analysis of platform interactions considering market power and precision marketing. Transportation Research Part E: Logistics and Transportation Review, 154, 102479.
Cao, J., So, K. C., & Yin, S. (2016). Impact of an “online-to-store” channel on demand allocation, pricing and profitability. European Journal of Operational Research, 248, 234–245.
Rossolov, A., Rossolova, H., & Holguín-Veras, J. (2021). Online and in-store purchase behavior: Shopping channel choice in a developing economy. Transportation, 48, 3143–3179.
Gawor, T., & Hoberg, K. (2019). Customers’ valuation of time and convenience in e-fulfillment. International Journal of Physical Distribution & Logistics Management, 49(1), 75–98.
Yin, R., Li, H., & Tang, C. S. (2015). Optimal pricing of two successive-generation products with trade-in options under uncertainty. Decision Sciences, 46(3), 565–595.
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.
Ray, S., Boyaci, T., & Aras, N. (2005). Optimal prices and trade-in rebates for durable, remanufacturable products. Manufacturing & Service Operations Management, 7(3), 208–228.
Liu, J., Zhai, X., & Chen, L. (2019). Optimal pricing strategy under trade-in program in the presence of strategic consumers. Omega, 84, 1–17.
Bai, J., Hu, S., Gui, L., So, K. C., & Ma, Z. (2021). Optimal subsidy schemes and budget allocations for government-subsidized trade-in programs. Production and Operations Management, 30, 2689–2706.
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.
Agrawal, V. V., Ferguson, M., & Souza, G. C. (2016). Trade-in rebates for price discrimination and product recovery. IEEE Transactions on Engineering Management, 63(3), 326–339.
Rao, R. S., Narasimhan, O., & John, G. (2009). Understanding the role of trade-ins in durable goods markets: Theory and evidence. Marketing Science, 28(5), 950–967.
Li, K. J., & Xu, S. H. (2015). The comparison between trade-in and leasing of a product with technology innovations. Omega, 54, 134–146.
Tang, F., Ma, Z. J., Dai, Y., & Choi, T. M. (2021). Upstream or downstream: Who should provide trade-in services in dyadic supply chains? Decision Sciences, 52(5), 1071–1108.
Vedantam, A., Demirezen, E. M., & Kumar, S. (2021). Trade-in or sell in my p2p marketplace: A game theoretic analysis of profit and environmental impact. Production and Operations Management, 30(11), 3923–3942.
Zhang, F., & Zhang, R. (2018). Trade-in remanufacturing, customer purchasing behavior, and government policy. Manufacturing & Service Operations Management, 20(4), 601–616.
Feng, L., Li, Y., & Fan, C. (2020). Optimization of pricing and quality choice with the coexistence of secondary market and trade-in program. Annals of Operations Research. https://doi.org/10.1007/s10479-020-03588-7
Shin, Y., Lee, S., & Moon, I. (2020). Robust multiperiod inventory model considering trade-in program and refurbishment service: Implications to emerging markets. Transportation Research Part E: Logistics and Transportation Review, 138, 101932.
Bian, Y., Xie, J., Archibald, T. W., & Sun, Y. (2019). Optimal extended warranty strategy: Offering trade-in service or not? European Journal of Operational Research, 278, 240–254.
Xiao, Y., & Zhou, S. X. (2020). Trade-in for cash or for upgrade? Dynamic pricing with customer choice. Production and Operations Management, 29(4), 856–881.
Cortinas, M., Cabeza, R., Chocarro, R., & Villanueva, A. (2019). Attention to online channels across the path to purchase: An eye-tracking study. Electronic Commerce Research and Applications, 36, 100864.
Xu, Q., Shao, Z., & He, Y. (2021). Effect of the buy-online-and-pickup-in-store option on pricing and ordering decisions during online shopping carnivals. International Transactions in Operational Research, 28, 2496–2517.
Fan, X., Yin, Z., & Liu, Y. (2020). The value of horizontal cooperation in online retail channels. Electronic Commerce Research and Applications, 39, 100897.
Liu, B., Guan, X., Wang, H., & Ma, S. (2019). Channel configuration and pay-on-delivery service with the endogenous delivery lead time. Omega, 84, 175–188.
Nault, B. R., & Rahman, M. S. (2020). Proximity to a traditional physical store: The effects of mitigating online disutility costs. Production & Operations Management, 28(4), 1033–1051.
Jin, M., Li, G., & Cheng, T. C. E. (2018). Buy online and pick up in-store: Design of the service area. European Journal of Operational Research, 268(2), 613–623.
MacCarthy, B. L., Zhang, L., & Muyldermans, L. (2019). Best performance frontiers for Buy-Online-Pickup-in-Store order fulfilment. International Journal of Production Economics, 211, 251–264.
Niu, B., Mu, Z., & Li, B. (2019). O2O results in traffic congestion reduction and sustainability improvement: Analysis of “online-to-store” channel and uniform pricing strategy. Transportation Research Part E: Logistics and Transportation Review, 122, 481–505.
Dong, S., Qin, Z., & Yan, Y. (2022). Effects of online-to-offline spillovers on pricing and quality strategies of competing firms. International Journal of Production Economics, 244, 108376.
Shi, G., Jiang, L., & Wang, Y. (2022). Interaction between the introduction strategy of the third-party online channel and the choice of online sales format. International Transactions in Operational Research, 29(4), 2448–2493.
Zhang, S., & Zhang, J. (2020). Agency selling or reselling: E-tailer information sharing with supplier offline entry. European Journal of Operational Research, 280, 134–151.
Pena, M. V. T., & Breidbach, C. F. (2021). On emergence in service platforms: An application to P2P lending. Journal of Business Research, 135, 337–347.
Zhen, L., Wu, Y., Wang, S., & Yi, W. (2021). Crowdsourcing mode evaluation for parcel delivery service platforms. International Journal of Production Economics, 235, 108067.
Liu, J., Zhou, Z., Pham, D. T., Xu, W., Cui, J., & Yang, C. (2020). Service platform for robotic disassembly planning in remanufacturing. Journal of Manufacturing Systems, 57(5), 338–356.
Yan, N., Xu, X., Tong, T., & Huang, L. (2021). Examining consumer complaints from an on-demand service platform. International Journal of Production Economics, 237, 108153.
Ren, X., Herty, M., & Zhao, L. (2020). Optimal price and service decisions for sharing platform and coordination between manufacturer and platform with recycling. Computers & Industrial Engineering, 147, 106586.
Tang, Z., & Chen, L. (2022). Understanding seller resistance to digital device recycling platform: An innovation resistance perspective. Electronic Commerce Research and Applications, 51, 101114.
Oraiopoulos, N., Ferguson, M. E., & Toktay, L. B. (2012). Relicensing as a secondary market strategy. Management Science, 58(5), 1022–1037.
Mantin, B., Krishnan, H., & Dhar, T. (2014). The strategic role of third-party marketplaces in retailing. Production and Operations Management, 23(11), 1937–1949.
Hagiu, A., & Wright, J. (2015). Marketplace or reseller? Management Science, 61(1), 184–203.
Abhishek, V., Jerath, K., & Zhang, Z. J. (2016). Agency selling or reselling? Channel structures in electronic retailing. Management Science, 62(8), 2259–2280.
He, B., Mirchandani, P., Shen, Q., & Yang, G. (2021). How should local brick-and-mortar retailers offer delivery service in a pandemic world? Self-building vs. O2O platform. Transportation Research Part E: Logistics and Transportation Review, 154, 102457.
Kohli, R., & Jedidi, K. (2007). Representation and inference of lexicographic preference models and their variants. Marketing Science, 26(3), 380–399.
Adner, R., Chen, J., & Zhu, F. (2019). Frenemies in platform markets: Heterogeneous profit foci as drivers of compatibility decisions. Management Science, 66(6), 1–20.
Moon, Y., & Kwon, C. (2011). Online advertisement service pricing and an option contract. Electronic Commerce Research and Applications, 10, 38–48.
Nagarajan, M., & Sosic, G. (2008). Game-theoretic analysis of cooperation among supply chain agents: Review and extensions. European Journal of Operational Research, 187(3), 719–745.
Modak, N. M., & Kelle, P. (2019). Managing a dual-channel supply chain under price and delivery-time dependent stochastic demand. European Journal of Operational Research, 272(1), 147–161.
Acknowledgements
We are grateful to the Editor and anonymous referees for their comments and suggestions, which have greatly improved the paper. This paper is supported by the Humanity and Social Science Foundation of Ministry of Education of China (No. 21YJA630024), the Natural Science Foundation of Chongqing (No. cstc2021jcyj-msxmX0060), National Natural Science Foundation of China (Grant number 72171029) and The National Science Fund for Distinguished Young Scholars (Grant number 72225008).
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Appendix
Appendix
Proof of Proposition 1
When \({c}_{t}<{c}_{w}<{c}_{t}+1\), we have \({d}_{s}^{1}={\int }_{0}^{{c}_{w}-{c}_{t}}{\int }_{\frac{p+{c}_{t}-t}{(1-\delta ){v}_{1}}}^{1}1d{\alpha }_{1}d{\alpha }_{2}=\left({c}_{w}-{c}_{t}\right)\left(1-\frac{p+{c}_{t}-t}{\left(1-\delta \right){v}_{1}}\right)\) and \({d}_{s}^{2}={\int }_{{c}_{w}-{c}_{t}}^{1}{\int }_{\frac{p+{c}_{t}-t}{(1-\delta ){v}_{1}}}^{1}1d{\alpha }_{1}d{\alpha }_{2}=\left(1-{c}_{w}+{c}_{t}\right)\left(1-\frac{p+{c}_{t}-t}{\left(1-\delta \right){v}_{1}}\right)\). When \({c}_{w}\le {c}_{t}\), we have \({d}_{s}^{1}=0\) and \({d}_{s}^{2}={\int }_{0}^{1}{\int }_{\frac{p+{c}_{w}-{\alpha }_{2}-t}{(1-\delta ){v}_{1}}}^{1}1d{\alpha }_{1}d{\alpha }_{2}=1-\frac{2\left(p-t+{c}_{w}\right)-1}{2\left(1-\delta \right){v}_{1}}\). Define \(T=p-t\) and substituting \({d}_{s}^{1}\) and \({d}_{s}^{2}\) into the profit function \({\pi }_{s}^{a}=\left(p-t+s\right){d}_{s}^{1}+(p-t+s-c){d}_{s}^{2}\). Using the first-order conditions, \(\frac{d{\pi }_{s}^{a}}{dT}=0\), we have \({T}^{*}=\frac{\left({c}_{t}-{c}_{w}+1\right)c}{2}-\frac{{c}_{t}}{2}+\frac{\left(-\delta +1\right){v}_{1}}{2}-\frac{s}{2}\) if \({c}_{t}<{c}_{w}<{c}_{t}+1\); \({T}^{*}=\frac{1}{2}(1-\delta ){v}_{1}+\frac{1}{2}c-\frac{1}{2}{c}_{w}-\frac{1}{2}s+\frac{1}{4}\) if \({c}_{w}\le {c}_{t}\). The second-order conditions are negative. And then we can obtain the equilibrium \({\pi }_{s}^{a*}\).
Proof of Lemma 1
When \({c}_{t}<{c}_{w}<{c}_{t}+1\), we have \({d}_{c}^{1}=\gamma {\int }_{0}^{{c}_{w}-{c}_{t}}{\int }_{\frac{p+{c}_{t}-t}{(1-\delta ){v}_{1}}}^{1}1d{\alpha }_{1}d{\alpha }_{2}=\gamma \left({c}_{w}-{c}_{t}\right)\left(1-\frac{p+{c}_{t}-t}{\left(1-\delta \right){v}_{1}}\right)\) and \({d}_{c}^{2}=\gamma {\int }_{{c}_{w}-{c}_{t}}^{1}{\int }_{\frac{p+{c}_{t}-t}{(1-\delta ){v}_{1}}}^{1}1d{\alpha }_{1}d{\alpha }_{2}=\gamma \left(1-{c}_{w}+{c}_{t}\right)\left(1-\frac{p+{c}_{t}-t}{\left(1-\delta \right){v}_{1}}\right)\). When \({c}_{w}\le {c}_{t}\), we have \({d}_{c}^{1}=0\) and \({d}_{c}^{2}=\gamma {\int }_{0}^{1}{\int }_{\frac{p+{c}_{w}-{\alpha }_{2}-t}{(1-\delta ){v}_{1}}}^{1}1d{\alpha }_{1}d{\alpha }_{2}=\upgamma \left(1-\frac{2\left(p-t+{c}_{w}\right)-1}{2\left(1-\delta \right){v}_{1}}\right)\). For a given \(\tau \), substituting \({d}_{c}^{1}\) and \({d}_{c}^{2}\) into the profit function \({\pi }_{c}^{a}=\left(p-t+s\right){d}_{c}^{1}+\left(p-t+s-\tau \right){d}_{c}^{2}\) and using the first-order conditions \(\frac{d{\pi }_{c}^{a}}{dp}=0\), we have \({p}^{*}=\frac{\left(1-{c}_{w}+{c}_{t}\right)\tau }{2}+\frac{\left(1-\delta \right){v}_{1}}{2}-\frac{s+{c}_{t}-2t}{2}\) if \({c}_{t}<{c}_{w}<1+{c}_{t}\); \({p}^{*}=\frac{\tau }{2}+\frac{\left(1-\delta \right){v}_{1}}{2}-\frac{s+{c}_{w}-2t}{2}+\frac{1}{4}\) if \({c}_{w}\le {c}_{t}\). The second-order conditions are negative. And then we can get \(\frac{{dp}^{*}}{d\tau }=\frac{1-({c}_{w}-{c}_{t})}{2}\) if \({c}_{t}<{c}_{w}<1+{c}_{t}\); \(\frac{{dp}^{*}}{d\tau }=\frac{1}{2}\) if \({c}_{w}\le {c}_{t}\).
Proof of Proposition 2
Following Lemma 1, plugging \({p}^{*}\) into \({\pi }_{c}^{b}=\tau {d}_{c}^{2}\) and using the first-order conditions \(\frac{d{\pi }_{c}^{b}}{d\tau }=0\), we have \({\tau }^{*}=\frac{\left(1-\delta \right){v}_{1}-{c}_{t}+s}{2\left(1-{c}_{w}+{c}_{t}\right)}\) if \({c}_{t}<{c}_{w}<1+{c}_{t}\); \({\tau }^{*}=\frac{\left(1-\delta \right){v}_{1}+s-{c}_{w}}{2}+\frac{1}{4}\) if \({c}_{w}\le {c}_{t}\). The second-order conditions are negative.
Proof of Proposition 3
By comparing the firm’s profits under the self-building and cooperation modes, we have \(\frac{{\pi }_{s}^{a*}}{{\pi }_{c}^{a*}}=\frac{4{\left({v}_{1}\left(1-\delta \right)-c(1-{c}_{w}+{c}_{t})+s-{c}_{t}\right)}^{2}}{{\gamma \left(\left(1-\delta \right){v}_{1}-{c}_{t}+s\right)}^{2}}\) if \({c}_{t}<{c}_{w}<1+{c}_{t}\); \(\frac{{\pi }_{s}^{a*}}{{\pi }_{c}^{a*}}=\frac{4{[{2v}_{1}\left(1-\delta \right)-2c-2{c}_{w}+2s+1]}^{2}}{{\gamma [{2v}_{1}\left(1-\delta \right)-2{c}_{w}+2s+1]}^{2}}\) if \({c}_{w}\le {c}_{t}\). When \({c}_{t}<{c}_{w}<1+{c}_{t}\), since \({u}_{1}\ge 0\) and \(c<s\), it is easy to verify that, if the inequality \(c\ge \frac{(2-\sqrt{\gamma })(\left(1-\delta \right){v}_{1}-{c}_{t}+s)}{2(1-{c}_{w}+{c}_{t})}\) holds, then \(\frac{{\pi }_{s}^{a*}}{{\pi }_{c}^{a*}}\le 1\); otherwise, \(\frac{{\pi }_{s}^{a*}}{{\pi }_{c}^{a*}}>1\). When \({c}_{w}<{c}_{t}\), since \({u}_{3}\ge 0\) and \(c<s\), it is easy to verify that, if the inequality \(c\ge \frac{(2-\sqrt{\gamma })(2\left(1-\delta \right){v}_{1}-2{c}_{w}+2s+1)}{4}\) holds, then \(\frac{{\pi }_{s}^{a*}}{{\pi }_{c}^{a*}}\le 1\); otherwise, \(\frac{{\pi }_{s}^{a*}}{{\pi }_{c}^{a*}}>1\).
Proof of Proposition 4
When \({c}_{t}<{c}_{w}<1+{c}_{t}\), we have \({CS}_{s}^{1}={\int }_{0}^{{c}_{w}-{c}_{t}}{\int }_{\frac{p+{c}_{t}-t}{(1-\delta ){v}_{1}}}^{1}((1-{\delta )\alpha }_{1}{v}_{1}-p-{c}_{t}+t)d{\alpha }_{1}d{\alpha }_{2}+{\int }_{{c}_{w}-{c}_{t}}^{1}{\int }_{\frac{p+{c}_{t}-t}{(1-\delta ){v}_{1}}}^{1}((1-\delta ){\alpha }_{1}{v}_{1}-p-{c}_{w}+{\alpha }_{2}+t)d{\alpha }_{1}d{\alpha }_{2}=\frac{\left(\left(\delta -1\right){v}_{1}+p-t+{c}_{t}\right)\left(\left(\delta -1\right){v}_{1}-{{c}_{t}}^{2}+\left(2{c}_{w}-1\right){c}_{t}-{{c}_{w}}^{2}+p-t+2{c}_{w}-1\right)}{2\left(1-\delta \right){v}_{1}}\). When \({c}_{w}\le {c}_{t}\), we have \({CS}_{s}^{2}={\int }_{0}^{1}{\int }_{\frac{p+{c}_{w}-t-{\alpha }_{2}}{(1-\delta ){v}_{1}}}^{1}((1-\delta ){\alpha }_{1}{v}_{1}-p-{c}_{w}+{\alpha }_{2}+t)d{\alpha }_{1}d{\alpha }_{2}=\frac{-3{\left(\delta -1\right)}^{2}{v}_{1}^{2}-6\left(p-t+{c}_{w}-\frac{1}{2}\right)\left(\delta -1\right){v}_{1}-3{c}_{w}^{2}+\left(3-6(p-t)\right){c}_{w}-3{(p-t)}^{2}+3(p-t)-1}{6\left(\delta -1\right){v}_{1}}\). Following Proposition 1 and plugging \({T}^{*}\) into \({CS}_{s}^{1}\) and \({CS}_{s}^{2}\), we can get \({CS}_{s}^{1*}=\frac{\left(\left(c+1\right){c}_{t}+\left(1-{c}_{w}\right)c+\left(\delta -1\right){v}_{1}-s\right)\left(-2{c}_{t}^{2}+ \left(c+4{c}_{w}-3\right){c}_{t}+\left(1-{c}_{w}\right)c-2{c}_{w}^{2}+4{c}_{w}+\left(\delta -1\right){v}_{1}-s-2\right)}{8\left(1-\delta \right){v}_{1}}\) if \({c}_{t}<{c}_{w}<1+{c}_{t}\); \({CS}_{s}^{2*}=\frac{12{\left(\delta -1\right)}^{2}{v}_{1}^{2}+24\left(c-s+{c}_{w}-\frac{1}{2}\right)\left(\delta -1\right){v}_{1}+12{c}_{w}^{2}-\left(12-24c+24s\right){c}_{w}+12{\left(c-s\right)}^{2}-12c+12s+7}{96\left(1-\delta \right){v}_{1}}\) if \({c}_{w}\le {c}_{t}\). Following the same approach as in the case of self-building mode, we can derive \({CS}_{c}^{1*}\) and \({CS}_{c}^{2*}\) under the cooperation mode.
Proof of Proposition 5
As \(\Omega ={({\pi }_{c}^{a}-{\pi }_{c}^{a0})}^{1-\beta }{({\pi }_{c}^{b}-{\pi }_{c}^{b0})}^{\beta }={({\pi }_{c}^{a}-{\pi }_{s}^{a*})}^{1-\beta }{({\pi }_{c}^{b}-0)}^{\beta }\), we can take the logarithm of \(\Omega \) as \(\mathrm{ln\Omega }=\left(1-\beta \right)\mathrm{ln}\left({\pi }_{c}^{a}-{\pi }_{s}^{a*}\right)+\beta \mathrm{ln}({\pi }_{c}^{b})\) and define \(F\triangleq \mathrm{ln\Omega }\). For tractability, we define \({k}_{0}\triangleq s-{c}_{t}\), \({k}_{1}\triangleq \left(1-\delta \right){v}_{1}\), \({k}_{2}\triangleq 1-{c}_{w}+{c}_{t}\), \({k}_{3}\triangleq \left({c}_{w}-1\right)c+s\), and \({k}_{4}\triangleq s-{c}_{w}+\frac{1}{2}\). Since \({\pi }_{c}^{a}\) and \({\pi }_{c}^{b}\) are concave functions of \(T\) and \(\tau \) (proofs of Lemma 1 and Proposition 2), we can use the first-order conditions (\(\frac{\partial F}{\partial \tau }=0\) and \(\frac{\partial F}{\partial T}=0\)) to obtain \({\widetilde{\tau }}^{*}=\frac{\beta \left(\left(\gamma -1\right){k}_{1}^{2}+2{k}_{1}\left(c{k}_{2}+\left(\gamma -1\right){k}_{0}\right)-{c}^{2}{k}_{2}^{2}+2c{k}_{2}{k}_{0}+(\gamma -1){k}_{0}^{2}\right)}{2\gamma {k}_{2}({k}_{1}+{k}_{0})}\) if \({c}_{t}<{c}_{w}<1+{c}_{t}\); \({\widetilde{\tau }}^{*}=\frac{\beta \left(\left(\gamma -1\right){k}_{1}^{2}+2{k}_{1}\left(c+(\gamma -1){k}_{4}\right)+\gamma {k}_{4}^{2}-{(c-{k}_{4})}^{2}\right)}{2\gamma ({k}_{1}+{k}_{4})}\) if \({c}_{w}\le {c}_{t}\). And then we can derive the equilibrium \({\widetilde{T}}^{*}\), \({\widetilde{\pi }}_{c}^{a*}\) and \({\widetilde{\pi }}_{c}^{b*}\) using the equilibrium commission fee \({\widetilde{\tau }}^{*}\).
Proof of Proposition 6
Following Table 2 and Proposition 5, after solving these two inequalities \(\left\{\begin{array}{c}{\widetilde{\pi }}_{c}^{a*}\ge {\pi }_{c}^{a*}\\ {\widetilde{\pi }}_{c}^{b*}\ge {\pi }_{c}^{b*}\end{array}\right.\), we have \(\frac{\eta }{2}\le \beta \le \frac{3\eta }{4}\), where \(\eta =\frac{\gamma {({k}_{1}+{k}_{0})}^{2}}{\left(\gamma -1\right){k}_{1}^{2}+2{k}_{1}\left(c{k}_{2}+\left(\gamma -1\right){k}_{0}\right)-{c}^{2}{k}_{2}^{2}+2c{{k}_{0}k}_{2}+(\gamma -1){k}_{0}^{2}}\) if \({c}_{t}<{c}_{w}<1+{c}_{t}\) and \(\eta =\frac{\gamma {({k}_{1}+{k}_{4})}^{2}}{\left(\gamma -1\right){k}_{1}^{2}+2{k}_{1}\left(c+\left(\gamma -1\right){k}_{4}\right)+\gamma {k}_{4}^{2}-{(c-{k}_{4})}^{2}}\) if \({c}_{w}\le {c}_{t}\).
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Yang, G., He, B. & Ma, R. Self-building or cooperating with a service platform: how should a dual-channel firm implement a trade-in program?. Electron Commer Res (2023). https://doi.org/10.1007/s10660-023-09746-w
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DOI: https://doi.org/10.1007/s10660-023-09746-w