1) Başar, T. and Olsder, G.J., (1998). Dynamic noncooperative game theory. Society for Industrial and Applied Mathematics.
2) Boyacı, T. and Gallego, G., (2002). Coordinating pricing and inventory replenishment policies for one wholesaler and one or more geographically dispersed retailers. International Journal of Production Economics, 77(2), pp.95-111.
3) Cachon, G.P. and Netessine, S., (2006). Game theory in supply chain analysis. In Models, Methods, and Applications for Innovative Decision Making (pp. 200-233). INFORMS.
4) Chen, F.Y., Yan, H. and Yao, L., (2004). A newsvendor pricing game. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 34(4), pp.450-456.
5) Chintagunta, P.K., (2002). Investigating category pricing behavior at a retail chain. Journal of Marketing Research, 39(2), pp.141-154.
6) Choi, S.C., (1991). Price competition in a channel structure with a common retailer. Marketing Science, 10(4), pp.271-296.
7) Choi, S.C., (1996). Price competition in a duopoly common retailer channel. Journal of retailing, 72(2), pp.117-134.
8) Esmaeili, M., Aryanezhad, M.B. and Zeephongsekul, P., (2009). A game theory approach in seller-buyer supply chain. European Journal of Operational Research, 195(2), pp.442-448.
9) Goyal, S.K., (1977). An integrated inventory model for a single supplier-single customer problem. The International Journal of Production Research, 15(1), pp.107-111.
10) Hjaila, K., Puigjaner, L. and Espuña, A., (2015). Scenario-based price negotiations vs. game theory in the optimization of coordinated supply chains. In Computer Aided Chemical Engineering (Vol. 37, pp. 1859-1864). Elsevier.
11) Naini, S.G.J., Aliahmadi, A.R. and Jafari-Eskandari, M., (2011). Designing a mixed performance measurement system for environmental supply chain management using evolutionary game theory and balanced scorecard: A case study of an auto industry supply chain. Resources, Conservation and Recycling, 55(6), pp.593-603.
12) Jeuland, A.P. and Shugan, S.M., (1988). Note—Channel of Distribution Profits When Channel Members Form Conjectures. Marketing Science, 7(2), pp.202-210.
13) Kim, D. and Lee, W.J., (1998). Optimal joint pricing and lot sizing with fixed and variable capacity. European Journal of Operational Research, 109(1), pp.212-227.
14) Kim, J.H., Park, J.B., Park, J.K. and Kim, B.H., (2003). A new game-theoretic framework for maintenance strategy analysis. IEEE Transactions on Power Systems, 18(2), pp.698-706.
15) Liu, B., (1998). Stackelberg-Nash equilibrium for multilevel programming with multiple followers using genetic algorithms. Computers & Mathematics with Applications, 36(7), pp.79-89.
16) Lu, L., (1995). A one-vendor multi-buyer integrated inventory model. European Journal of Operational Research, 81(2), pp.312-323.
17) Mandal, S., (2015). An empirical-collaborative model of supply chain agility. International Journal of Logistics Systems and Management, 21(4), pp.465-502.
18) McGuire, T.W. and Staelin, R., (1983). An industry equilibrium analysis of downstream vertical integration. Marketing science, 2(2), pp.161-191.
19) Khouja, M., (2003). Optimizing inventory decisions in a multi-stage multi-customer supply chain. Transportation Research Part E: Logistics and Transportation Review, 39(3), pp.193-208.
20) Parlar, M. and Wang, Q., (1994). Discounting decisions in a supplier-buyer relationship with a linear buyer's demand. IIE transactions, 26(2), pp.34-41.
21) Pashigian, B.P., (1961). The Distribution of Automobiles. An Economic Analysis of the Franchise System.
22) Joglekar, P., Tavana, M. and Rappaport, J., (2006). A Comprehensive Set of Models of Intra and Inter-Organizational Coordination in a Supply Chain.
23) Samuelson, P.A., (1947) Foundations of Economic Analysis (Cambridge, Mass.: Harvard UniversityPress, 1947). SamuelsonFoundations of Economic Analysis
24) Sinha, S. and Sarmah, S.P., (2010). Coordination and price competition in a duopoly common retailer supply chain. Computers & Industrial Engineering, 59(2), pp.280-295.
25) Turki, S., Didukh, S., Sauvey, C. and Rezg, N., (2017). Optimization and analysis of a manufacturing–remanufacturing–transport–warehousing system within a closed-loop supply chain. Sustainability, 9(4), p.561.
26) Villena, V.H. and Craighead, C.W., (2017). On the same page? How asymmetric buyer–supplier relationships affect opportunism and performance. Production and Operations Management, 26(3), pp.491-508.
27) Weng, Z.K., (1995). Modeling quantity discounts under general price-sensitive demand functions: optimal policies and relationships. European Journal of Operational Research, 86(2), pp.300-314.
28) Weng, Z.K. and Wong, R.T., (1993). General models for the supplier's all‐unit quantity discount policy. Naval Research Logistics (NRL), 40(7), pp.971-991.
29) Woo, Y.Y., Hsu, S.L. and Wu, S., (2001). An integrated inventory model for a single vendor and multiple buyers with ordering cost reduction. International Journal of Production Economics, 73(3), pp.203-215.
30) Yin, S., Nishi, T. and Zhang, G., (2016). A game theoretic model for coordination of single manufacturer and multiple suppliers with quality variations under uncertain demands. International Journal of Systems Science: Operations & Logistics, 3(2), pp.79-91.
31) Yu, Y., Chu, F. and Chen, H., (2009). A Stackelberg game and its improvement in a VMI system with a manufacturing vendor. European Journal of Operational Research, 192(3), pp.929-948.
32) Zamarripa, M.A., Aguirre, A.M., Méndez, C.A. and Espuña, A., (2012). Improving supply chain planning in a competitive environment. Computers & Chemical Engineering, 42, pp.178-188.
33) Zamarripa, M.A., Aguirre, A.M., Méndez, C.A. and Espuña, A., (2013). Mathematical programming and game theory optimization-based tool for supply chain planning in cooperative/competitive environments. Chemical Engineering Research and Design, 91(8), pp.1588-1600.