On Co-opetitive Supply Partnerships with End-Product Rivals: Information Asymmetry, Dual Sourcing and Supply Market Efficiency

Author(s):  
Seung Hwan Jung ◽  
Panos Kouvelis

Problem definition: We consider opportunities for cooperation at the supply level between two firms that are rivals in the end-product market. One of our firms is vertically integrated (VI), has in-house production capabilities, and may also supply its rival. The other is a downstream outsourcing (DO) firm that has better market information. The DO is willing to consider a supply partnership with the VI, but it also has the option to use the outside supply market. Academic/practical relevance: Such co-opetitive practices are common in industrial supply chains, but firms’ co-opetitive strategic sourcing with the potential of information leakage has not been examined in the literature. Methodology: We build a game-theoretic model to capture the firms’ strategic interactions under the co-opetitive supply partnership with the potential information leakage. Results: The DO exploits its information advantage to obtain a better wholesale price from the VI and may use dual sourcing to protect its private information. Anticipating that, the VI may offer wholesale price concessions as an information rent to obtain the DO’s information. Our work identifies demand uncertainty and efficiency of outside supply market as the factors affecting the VI’s pricing decision and the resulting equilibrium. Pooling equilibrium arises often, but in a few cases, the equilibrium is separating. At the separating equilibrium, the DO always single sources, either from the VI or the independent supplier depending on the demand state. The VI benefits from ancillary revenue-generating opportunity, and from information acquisition in a separating equilibrium. On the other hand, the DO’s benefit is a cheaper price in exchange for market information in a separating equilibrium. In the pooling case, the DO uses dual sourcing to hide demand information, especially in the high demand case, and to better supply the end-market through his accurate demand information. Managerial implications: Our work provides useful insights into firms’ strategic sourcing behaviors to efficiently deal with the potential of information leakage in the co-opetitive supply environment and for the rationale behind such relationships often observed in industries.

Author(s):  
Yunjie Wang ◽  
Albert Y. Ha ◽  
Shilu Tong

Problem definition: This paper investigates the issue of sharing the private demand information of a manufacturer that sells a product to retailers competing on prices and service efforts. Academic/practical relevance: In the existing literature, which ignores service effort competition, it is known that demand signaling induces an informed manufacturer to distort the wholesale price downward, which benefits the retailers, and so, they do not have any incentive to receive the manufacturer’s private information. In practice, many manufacturers share demand information with their retailers that compete on prices and service efforts (e.g., demand-enhancing retail activities), a setting that has not received much attention from the literature. Methodology: We develop a game-theoretic model with one manufacturer selling to two competing retailers and solve for the equilibrium of the game. Results: We show how an informed manufacturer may distort the wholesale price upward or downward to signal demand information to the retailers, depending on the cost of service effort, the intensity of effort competition, and the number of uninformed retailers. We fully characterize the impact of such wholesale price distortion on the firms’ incentive to share information and derive the conditions under which the manufacturer shares information with none, one, or both of the retailers. We derive conditions under which a higher cost of service effort makes the retailers or the manufacturer better off. Managerial implications: Our results provide novel insights about how service effort competition impacts the incentives for firms in a supply chain to share a manufacturer’s private demand information. For instance, when the cost of effort is high or service effort competition is intense, a manufacturer should share information with none or some, but not all, of the retailers.


Author(s):  
Yossi Aviv ◽  
Noam Shamir

Problem definition: We examine the effect of financial cross-ownership—a situation in which a retailer holds stocks in a competitor—on two crucial operational decisions in a supply chain with competing retailers sourcing from a single supplier: information acquisition and production output. Academic/practical relevance: Financial interconnectedness between competing retailers raises fundamental questions regarding the way information is managed in such markets and the way it affects consumer welfare. Thus, in addition to the relevance to operations management scholars, this subject is of potential interest to policy makers and regulators. Although financial cross-ownership has mainly been unchallenged by regulators, the European Commission has recently called for a deeper understanding of the competitive aspects of this investment tool. Methodology: We develop a game-theoretic model, in which we analyze a supply chain comprised of an incumbent retailer holding stocks in an entrant and both retailers source from a mutual supplier. The incumbent can obtain costless demand information, and the supplier decides whether to leak this information if it is available to him or her. Results: We demonstrate that holding stocks in a rival better aligns the incentives of the rival retailers and results in a lower competition level during the production stage. However, financial cross-ownership can also result in an increased incentive for information acquisition, even when the information is later leaked to the entrant. The acquisition of information benefits not only the retailers but can also make the consumers better off. Managerial implications: Our work contributes to the heated policy debate regarding the competitive effects of financial cross-ownership. In addition, we are the first, to the best of our knowledge, to study the way financial cross-ownership affects operational decisions. Specifically, we show that financial cross-ownership provides incentives to acquire demand information even under the threat of information leakage.


2021 ◽  
Author(s):  
Min Tang ◽  
Li Jiang ◽  
Zhiguo Li ◽  
Hongwu Zhang

Abstract This work investigates the retailer's sourcing decision with or without information leakage and studies the impact of the retailer's inaccurate prediction on supply chain members' preferences for information leakage. To derive the retailers' optimal sourcing quantities under two scenarios, one without and one with information leakage, we formulate a supply chain in which a common manufacturer offers a wholesale price contract to two competing retailers, one of whom (the incumbent) has private prediction information about the market demand, the other one (the entrant) doesn't. Then, we compare the supply chain members' performances, the results show that the manufacturer will prefer no information leakage when the incumbent's forecasting accuracy is high and the forecasting signal is low-type; the incumbent may prefer information leakage under certain conditions; contrary to intuition, the entrant may prefer no information leakage under certain conditions. Meanwhile, we find that the incumbent has an incentive to mimic a low state one by sourcing less product when she forecasts that the market demand will be high under the scenario of information leakage, and interestingly, the incumbent will earn less than the entrant when she obtains a low-type forecast signal under no information leakage.


Author(s):  
Albert Y. Ha ◽  
Shilu Tong ◽  
Yunjie Wang

Problem definition: This paper investigates the channel choice problem of an online platform that exerts service effort to enhance the demand in its sales channels. Academic/practical relevance: In the existing literature on the channel structure of an online retail platform, it is usually assumed that a manufacturer sells through either the platform’s agency or reselling channel but not both. In practice, many manufacturers sell the same products through both channels of the same online retail platform, a phenomenon that cannot be explained by the existing theory. Moreover, online retail platforms routinely invest in retail services that enhance the demand in their sales channels. Methodology: We develop a game-theoretic model to investigate the equilibrium channel choice, wholesale price, and retail quantity decisions. We also conduct sensitivity analysis to evaluate the impact of some parameters on the equilibrium. Results: We derive conditions under which each of the three channel structures (agency channel, reselling channel, and dual channel) emerges in equilibrium. We show that the wholesale price in the reselling channel is reduced because of the addition of the agency channel even when both channels are equally efficient, which extends the wholesale price effect because of the addition of a less efficient direct channel in the supplier encroachment literature. Our analysis highlights the flexibility of a dual channel for firms to shift sales between the two channels, which could increase the retail platform’s incentive to exert service effort. Managerial implications: Our study provides useful insights to managers to understand and make channel choice decisions in supply chains with manufacturers selling through online retail platforms.


Author(s):  
Wei Zhang ◽  
Yifan Dou

Problem definition: We study how the government should design the subsidy policy to promote electric vehicle (EV) adoptions effectively and efficiently when there might be a spatial mismatch between the supply and demand of charging piles. Academic/practical relevance: EV charging infrastructures are often built by third-party service providers (SPs). However, profit-maximizing SPs might prefer to locate the charging piles in the suburbs versus downtown because of lower costs although most EV drivers prefer to charge their EVs downtown given their commuting patterns and the convenience of charging in downtown areas. This conflict of spatial preferences between SPs and EV drivers results in high overall costs for EV charging and weak EV adoptions. Methodology: We use a stylized game-theoretic model and compare three types of subsidy policies: (i) subsidizing EV purchases, (ii) subsidizing SPs based on pile usage, and (iii) subsidizing SPs based on pile numbers. Results: Subsidizing EV purchases is effective in promoting EV adoptions but not in alleviating the spatial mismatch. In contrast, subsidizing SPs can be more effective in addressing the spatial mismatch and promoting EV adoptions, but uniformly subsidizing pile installation can exacerbate the spatial mismatch and backfire. In different situations, each policy can emerge as the best, and the rule to determine which side (SPs versus EV buyers) to subsidize largely depends on cost factors in the charging market rather than the EV price or the environmental benefits. Managerial implications: A “jigsaw-piece rule” is recommended to guide policy design: subsidizing SPs is preferred if charging is too costly or time consuming, and subsidizing EV purchases is preferred if charging is sufficiently fast and easy. Given charging costs that are neither too low nor too high, subsidizing SPs is preferred only if pile building downtown is moderately more expensive than pile building in the suburbs.


Author(s):  
Weixin Shang ◽  
Gangshu (George) Cai

Problem definition: Few papers have explored the impact of price matching negotiation (PM), in which a channel matches its price with the resulting wholesale price bargained by another channel, on firms’ performances, consumer welfare, and social welfare, with and without supply chain coordination. Academic/practical relevance: Negotiation has been widely seen in determining both uniform and discriminatory wholesale prices, which affect outcomes of competitive supply chain practices. Methodology: To characterize the PM mechanism, we use game theory and Nash bargaining theory to compare PM with simultaneous negotiation (SN) through a common-seller two-buyer differentiated Bertrand competition model. Results: Our analysis reveals that PM can benefit the seller but hurt all buyers, which is at odds with some fair wholesale pricing clauses intending to protect buyers. Under coordination with side payments, however, all firms can conditionally benefit more from PM than from SN. Despite firms’ gains, PM leads to less consumer utility and social welfare compared with SN, unless the second buyer in PM is considerably less powerful than the first buyer. Coordination further worsens PM’s negative impact on consumer utility and social welfare. Moreover, the existence of a spot market can increase the wholesale price in PM, hurting buyers, consumers, and society. Furthermore, the qualitative results about PM remain robust under an alternative disagreement point for PM, multiple buyers, and other extensions. Managerial implications: This paper delivers insights on when price matching in supply chain wholesale price negotiation can benefit a seller, buyers, consumers, and society in a variety of scenarios. It advocates how managers can use PM to their own advantages and provides rationale to decision makers for policy regulations regarding wholesale pricing.


Author(s):  
Tianqin Shi ◽  
Nicholas C. Petruzzi ◽  
Dilip Chhajed

Problem definition: The eco-toxicity arising from unused pharmaceuticals has regulators advocating the benign design concept of “green pharmacy,” but high research and development expenses can be prohibitive. We therefore examine the impacts of two regulatory mechanisms, patent extension and take-back regulation, on inducing drug manufacturers to go green. Academic/practical relevance: One incentive suggested by the European Environmental Agency is a patent extension for a company that redesigns its already patented pharmaceutical to be more environmentally friendly. This incentive can encourage both the development of degradable drugs and the disclosure of technical information. Yet, it is unclear how effective the extension would be in inducing green pharmacy and in maximizing social welfare. Methodology: We develop a game-theoretic model in which an innovative company collects monopoly profits for a patented pharmaceutical but faces competition from a generic rival after the patent expires. A social-welfare-maximizing regulator is the Stackelberg leader. The regulator leads by offering a patent extension to the innovative company while also imposing take-back regulation on the pharmaceutical industry. Then the two-profit maximizing companies respond by setting drug prices and choosing whether to invest in green pharmacy. Results: The regulator’s optimal patent extension offer can induce green pharmacy but only if the offer exceeds a threshold length that depends on the degree of product differentiation present in the pharmaceutical industry. The regulator’s correspondingly optimal take-back regulation generally prescribes a required collection rate that decreases as its optimal patent extension offer increases, and vice versa. Managerial implications: By isolating green pharmacy as a potential target to address pharmaceutical eco-toxicity at its source, the regulatory policy that we consider, which combines the incentive inherent in earning a patent extension on the one hand with the penalty inherent in complying with take-back regulation on the other hand, serves as a useful starting point for policymakers to optimally balance economic welfare considerations with environmental stewardship considerations.


Author(s):  
Ju Myung Song ◽  
Yao Zhao

Problem definition: We study the coordination of an E-commerce supply chain between online sellers and third party shippers to meet random demand surges, induced by, for instance, online shopping holidays. Academic/practical relevance: Motivated by the challenge of meeting the unpredictable demand surges in E-commerce, we study shipping contracts and supply chain coordination between online sellers and third party shippers in a novel model taking into account the unique features of the shipping industry. Methodology: We compare two shipping contracts: the risk penalty (proposed by UPS) and the flat rate (used by FedEx), and analyze their impact on the seller, the shipper, and the supply chain. Results: Under information symmetry, the sophisticated risk penalty contract is no better than the simple flat rate contract for the shipper, against common belief. Although both the risk penalty and the flat rate can coordinate the supply chain, the risk penalty does so only if the shipper makes zero profit, but the flat rate can provide a positive profit for both. These results represent a new form of double marginalization and risk-sharing, in sharp contrast to the well-known literature on the classic supplier-retailer supply chain, where risk-sharing contracts (similar to the risk penalty) can bring benefits to all parties, but the single wholesale price contract (similar to the flat rate) can achieve supply chain coordination only when the supplier makes zero profit. We also find that only the online seller, but not the shipper, has the motivation to vertically integrate the seller-shipper supply chain. Under information asymmetry, however, the risk penalty brings more benefit to the shipper than the flat rate, but hurts the seller and the supply chain. Managerial implications: Our results imply that information plays an important role in the shipper’s choices of shipping contracts. Under information symmetry, the risk penalty is unnecessarily complex because the simple flat rate is as good as the risk penalty for the shipper; moreover, it is better for the seller-shipper coordination. However, under information asymmetry, the shipper faces additional shipping risk that can be offset by the extra flexibility of the risk penalty. Our study also explains and supports the recent practice of online sellers (e.g., Amazon.com and JD.com), but not shippers, to vertically integrate the supply chain by consistently expanding their shipping capabilities.


2017 ◽  
Vol 14 (2) ◽  
pp. 20-30 ◽  
Author(s):  
A Kumar ◽  
R Mishra

This paper analyzes the spatial integration of potato markets in Uttarakhand using monthly wholesale price for ten years. The maximum likelihood method of cointegration developed by Johansen (1988) was used in the study. The dynamics of short-run price responses were examined using vector error correction model (VECM). The results indicated that five potato markets reacted on the long-run cointegrating equations while the speed of price adjustment in the short-run was almost absent. Moreover, it was found that the longer the distance between the markets, the weaker the integration was. To increase the efficiency of potato markets in Uttarakhand, there is need to focus on building an improved market information system. This system should be able to disseminate timely market information about price, demand and supply of produce to enable producers, traders and consumers to make proper production and marketing decisions.SAARC J. Agri., 14(2): 20-30 (2016)


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