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The equilibrium results analysis in a competing supply chains with consumer returns

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DOI: 
http://dx.doi.org/10.3926/jiem.601
Abstract (2. Language): 
Purpose: The purpose of this paper is, to examine the optimal pricing and ordering strategy of two competing chains with customer returns in Bertrand-Nash game and Stackelberg game, and to investigate in what cases the manufacturer can make more profits from customer returns policy. Design/methodology/approach: We build the customer returns model in the competing chains and compare the equilibrium results in Bertrand-Nash game with that in Stackelberg game. Findings: The main contribution of the present study is the manufacturer can benefit from customer returns policy, only if customer return rate is sufficiently low in two games. In addition, the optimal price, order quantity and profits in Stackelberg game are affected more seriously by customer returns than that in Bertrand-Nash game. Originality/value: The impact of customer returns on the competing chain is initially considered, where the demand is related with the retail price and return price.
149-162

REFERENCES

References: 

Banker, R.D., Khosla, I., & Sinha, K.K. (1998). Quality and competition. Management Science, 44(9), 1179-1192. http://dx.doi.org/10.1287/mnsc.44.9.1179
Bernstein, F., & Fedegruen, A. (2004). A general equilibrium model for industries with price and service competition. Operations Research, 52(6), 868-886. http://dx.doi.org/10.1287/opre.1040.0149
Boyaci, T., & Gallego, G. (2004). Supply chain coordination in a market with customer service competition. Production and Operations Management, 13(1), 3-22. http://dx.doi.org/10.1111/j.1937-5956.2004.tb00141.xChen, X., Li, L., & Zhou, M. (2012). Manufacturer’s pricing strategy for supply chain with warranty period-dependent demand. Omega, 40(1), 807–816. http://dx.doi.org/10.1016/j.omega.2011.12.010
Chen, J., & Bell, P.C. (2009). The impact of customer returns on pricing and order decisions. European Journal Operational Research, 195(1), 280-295. http://dx.doi.org/10.1016/j.ejor.2008.01.030
Choi, S.C. (1991). Price competition in a channel structure with a common retailer. Marketing Science, 10(4), 271-296. http://dx.doi.org/10.1287/mksc.10.4.271
Moorthy, K.S. (1988). Product and price competition in a duopoly. Marketing Science, 7(2), 141-168. http://dx.doi.org/10.1287/mksc.7.2.141
Mukhopadhyay, S.K., & Setoputro, R. (2004). Reverse logistics in e-business: Optimal price and return policy. International Journal of Physical Distribution and Logistics Management, 34(1), 70-88. http://dx.doi.org/10.1108/09600030410515691
Mukhopadhyay, S.K., & Setoputro, R. (2005). Optimal return policy and modular design for build-to-order products. Journal of Operations Management, 23(1), 496-506. http://dx.doi.org/10.1016/j.jom.2004.10.012
Ofek, E., Katona, Z., & Sarvary, M. (2011). “Bricks & clicks”: The impact of product returns on the strategies of multi-channel retailers. Marketing Science, 30(1), 42-60.
Su, X.M. (2009). Consumer returns policies and supply chain performance. Management Science, 11(4), 595-612. http://dx.doi.org/10.1287/msom.1080.0240
Stock, J., Speh, T., & Shear, H. (2002). Many happy (product) returns. Harvard Business Review, 80(7), 16-17.
Williams, B., & Gerstner, E. (2006). Offering low price guarantees to improve customer retention. Journal of Retailing, 82(2), 105-113. http://dx.doi.org/10.1016/j.jretaai.2006.02.001

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