Abstract
In this paper, we generalize the two-sided bargaining model which is developed in Manea (Am Econ Rev 101(5):2042–2080, 2011) to analyse the trade dynamics in supply chains. No further restrictions on the network structure are imposed. Both buyers and sellers can assume the role of a proposer in the bargaining game. Any finite number of buyers and sellers is allowed. More importantly, valuations of the buyers are heterogeneous. This generalized model allows us to investigate the impact of network structure and the heterogeneous pie size (resulting from heterogeneous valuations) on the equilibrium in full generality which is lack in the existing supply chain literature.
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Notes
Choi (1991), Lariviere and Porteus (2001), Cachon and Lariviere (2001), Bernstein and Federgruen (2003), Gerchak and Wang (2003, 2004), Wang (2006), Perakis and Roels (2007), Song et al. (2008), Adida and DeMiguel (2011), Huang et al. (2014) and David and Adida (2015) are some papers adopting Stackelberg modelling approach.
Manea (2011) explores the influence of the network structure on the bargaining outcome with homogeneous agents. He shows that the bargaining power of a player does not depend only on the number of links he has and his position in the network but also his neighbours’ positions.
In our game, a player may strategically prefer not to trade with some of his neighbours since engaging in a trade with them may lower his payoff. Hence, the valuations of the buyers may change the links at which trade occurs in equilibrium and may provide advantage or disadvantage to a player.
References
Abreu D, Manea M (2012) Bargaining and efficiency in networks. J Econ Theory 147:43–70
Adida E, DeMiguel V (2011) Supply chain competition with multiple manufacturers and retailers. Oper Res 59(1):156–172
Bernstein F, Federgruen A (2003) Pricing and replenishment strategies in a distribution system with competing retailers. Oper Res 51(3):409–426
Bernstein F, Federgruen A (2005) Decentralized supply chains with competing retailers under demand uncertainty. Manag Sci 51(1):18–29
Cachon GP, Lariviere MA (2001) Contracting to assure supply: how to share demand forecasts in a supply chain. Manag Sci 47(5):629–646
Calvó-Armengol A (2003) Stable and efficient bargaining networks. Rev Econ Design 7:411–428
Choi SC (1991) Price competition in a channel structure with a common retailer. Marketing Sci 10(4):271–296
Corominas-Bosch M (2004) Bargaining in a network of buyers and sellers. J Econ Theory 115(1):35–77
David A, Adida E (2015) Competition and coordination in a two-channel supply chain. Prod Oper Manag 24(8):1358–1370
Draganska M, Klapper D, Villas-Boas SB (2010) A larger slice or a larger pie? An empirical investigation of bargaining power in the distribution channel. Marketing Sci 29(1):57–74
Feng Q, Lai G, Lu LX (2015) Dynamic bargaining in a supply chain with asymmetric demand information. Manag Sci 61(2):301–315
Feng Q, Lu LX (2013) The role of contract negotiation and industry structure in production outsourcing. Prod Oper Manag 22(5):1299–1319
Gale D (1987) Limit theorems for markets with sequential bargaining. J Econ Theory 43:20–54
Gerchak Y, Wang Y (2003) Capacity games in assembly systems with uncertain demand. Manuf Serv Oper Manag 5(3):252–267
Gerchak Y, Wang Y (2004) Revenue-sharing vs. wholesale-price contracts in assembly systems with random demand. Prod Oper Manag 13(1):23–33
Gurnani H, Shi M (2006) A bargaining model for a first-time interaction under asymmetric beliefs of supply reliability. Manag Sci 52(6):865–880
Huang K-L, Kuo C-W, Lu M-L (2014) Wholesale price rebate vs. capacity expansion: the optimal strategy for seasonal products in a supply chain. Eur J Oper Res 234(1):77–85
Iyer G, Villas-Boas JM (2003) A bargaining theory of distribution channels. J Mark Res 40(1):80–100
Jackson MO (2008) Social and economic networks. Princeton University Press, Princeton
Lariviere MA, Porteus EL (2001) Selling to the newsvendor: an analysis of price-only contracts. Manuf Serv Oper Manag 3(4):293–305
Manea M (2011) Bargaining in stationary networks. Am Econ Rev 101(5):2042–2080
Nagarajan M, Bassok Y (2008) A bargaining framework in supply chains: the assembly problem. Manag Sci 54(8):1482–1496
Nakkaş A, Xu Y (2019) The impact of valuation heterogeneity on equilibrium prices in supply chain networks. Prod Oper Manag 28(2):241–257
Nguyen T (2012) Local bargaining and endogenous fluctuations. In: Proceedings of the 13th ACM conference on electronic commerce (EC-2012), Valencia, Spain
Perakis G, Roels G (2007) The price of anarchy in supply chains: quantifying the efficiency of price-only contracts. Manag Sci 53(8):1249–1268
Plambeck EL, Taylor TA (2005) Sell the plant? The impact of contract manufacturing on innovation, capacity, and profitability. Manag Sci 51(1):133–150
Polanski A (2007) Bilateral bargaining in networks. J Econ Theory 134(1):557–565
Polanski A, Lazarova EA (2015) Dynamic multilateral markets. Int J Game Theory 44(4):815–833
Polanski A, Vega-Redondo F (2013) Markets, bargaining and networks with heterogenous agents. Working paper
Rubinstein A (1982) Perfect equilibrium in a bargaining model. Econometrica 50(1):97–109
Rubinstein A, Wolinsky A (1985) Equilibrium in a market with sequential bargaining. Econometrica 53(5):1133–1150
Song Y, Ray S, Li S (2008) Structural properties of buyback contracts for price-setting newsvendors. Manuf Serv Oper Manag 10(1):1–18
Wang Y (2006) Joint pricing-production decisions in supply chains of complementary products with uncertain demand. Oper Res 54(6):1110–1127
Acknowledgements
I would like to thank to my Ph.D. supervisor Emin Karagözoğlu, Tarık Kara and Çağrı Sağlam for fruitful discussions and valuable comments.
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Appendix
Appendix
Proof of Lemma 1
Without loss of generality, suppose that \(\max \{\omega _{1}, \omega _{2}, \omega _{3}, \omega _{4} \} = \omega _{1}\). Hence,
\(\square \)
Proof of Lemma 2
By the definition of contraction mapping, we need to prove that
which means for all \(k \in S \cup B\), \(|f_{k}^{\delta }(u) - f_{k}^{\delta }(w)| \le \delta \Vert u - w \Vert \).
Without loss of generality, we prove the above inequality for all \(s \in S\). This inequality can be easily shown for any buyer \(b \in B\).
implying that the function \(f^{\delta }\) is a contraction mapping. Hence, the function has a unique fixed point. \(\square \)
Proof of Lemma 3
\((s,b) \in G^{*\delta }\) means that that s and b are connected and \(\max \{ v_{b} - \delta u_{s}^{*\delta }, \delta u_{b}^{*\delta } \} = v_{b} - \delta u_{s}^{*\delta }\). Since \(u^{*\delta }\) is the fixed point of \(f^{\delta }\), \(u^{*\delta }\) is the solution of the following linear equations system
Take any non-empty subnetwork H of G and define a mapping \(h^{\delta , H}: {\mathbb {R}}^{n} \rightarrow {\mathbb {R}}^{n}\) such that for each \(s \in S\) and \(b \in B\),
\(h^{\delta , H}\) is a contraction mapping. All equations in the system (9) are linear functions of \(\delta \), implying that for each \(k \in S \cup B\), \(u_{k}^{\delta , H}\) is given by the Cramer’s rule
where \(P_{k}^{H}\) and \(Q_{k}^{H}\) are polynomials in \(\delta \). Since the linear system in (10) is non-singular, \(Q_{k}^{H}(\delta ) \ne 0\) for all \(\delta \in (0,1)\) and for all non-empty subnetworks H of G.
Take any \(s \in S\), \(b \in B\) and any non-empty subnetwork H of G. \(\delta (u_{s}^{\delta , H} + u_{b}^{\delta , H}) = v_{b} \) is equivalent to
Since the equation above is valid for all \(\delta \in (0,1)\), it holds also for \(\delta = 1/3\). Rewriting the equation for this specific value of \(\delta \), we have
which contradicts with for all \(k \in S \cup B\), \(u_{k}^{1/3,H} \le v_{b}\). It follows that for all (s, b, H) the statement \(\delta (u_{s}^{1/3,H} + u_{b}^{1/3,H}) = v_{b}\) holds for a finite set of solutions \(\delta \), which concludes the proof. \(\square \)
Proof of Lemma 4
Take any link \((s,b) \in G\). \((s,b) \in G \backslash G^{*}\) implies that for all \(\delta > {\underline{\delta }}\) (\({\underline{\delta }}\) is determined in Theorem 2),
If the link (s, b) is involved in the limit equilibrium agreement network \(G^{*}\), then for all \(\delta > {\underline{\delta }}\),
Since for all \(k \ne s \in S\) with \((k,b) \in G^{*}\), \(v_{b} - \delta u_{k}^{*\delta } \ge \delta u_{b}^{*\delta }\) and for all \(l \ne b \in B\) with \((s,l) \in G^{*}\), \(v_{l} - \delta u_{l}^{*\delta } \ge \delta u_{s}^{*\delta }\) we obtain
As \(\delta \rightarrow 1\), by (11), we have \(u_{s}^{*} + u_{b}^{*} \ge v_{b}\) for all \((s,b) \in G \backslash G^{*}\). And from (11) and (12), for all \((s,b) \in G^{*}\), \(u_{s}^{*} + u_{b}^{*} = v_{b}\). \(\square \)
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Özcan-Tok, E. Bargaining on supply chain networks with heterogeneous valuations. TOP 28, 506–525 (2020). https://doi.org/10.1007/s11750-020-00540-7
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DOI: https://doi.org/10.1007/s11750-020-00540-7