供应链中具有产能限制的竞争企业中的信息共享研究

本文研究由一个供货商和两个制造商组成的二级供应链中，制造商之间的横向信息共享策略和供应商的定价问题。在模型中，上游供应商同时为下游两家制造商提供价格相同的原材料，下游制造商生产具有替代性的商品进行数量竞争，并受到相同的产能限制。以Cournot博弈为研究手段，求解了制造商的均衡订货决策和信息共享策略，分析比较了在不同的信息共享策略下制造商的利润、供应商的利润和批发价格。本文在研究制造商的信息共享策略时考虑了上游供应商的批发价格的影响。研究表明，当均衡解受到产能约束时，制造商的信息共享策略会反向。在某些情况下，完全信息共享和完全信息不共享都可能成为博弈的占优策略。上游供应商通过调整批发价格可以影响制造商的信息共享决策。该模型为上游供应商提供了一种最优定价策略，也为下游制造商提供了求解自身最优订货量和信息共享决策的方法。     

The Role of Information in Repeated Games With Frequent Actions

We show that in repeated interactions the avenues for effective provision of incentives depend crucially on the type of information players observe. We establish this conclusion for general repeated two‐player games in which information arrives via a continuous‐time stationary process that has a continuous multidimensional Brownian component and a Poisson component, and in which the players act frequently. The Poisson jumps can be used to effectively provide incentives both with transfers and value burning, while continuous Brownian information can be used to provide incentives only with transfers.     

供应链中纵向信息获取和横向信息共享策略研究

研究由一个制造商和两个零售商组成的二级供应链中,零售商之间的横向信息共享策略和制造商的信息获取以及最优定价问题。在模型中,制造商同时为两家零售商提供等价商品,零售商向消费者销售商品且进行价格竞争。以Bertrand博弈为研究手段,求解了零售商的均衡销售价格、订货量决策和信息共享策略,制造商的最大利润和最优批发价格,以及供应链利润。分析比较了在制造商不同的信息获取策略下,零售商、制造商和供应链的利润。研究表明,零售商之间完全信息共享始终为占优策略。但制造商获取下游信息时会使得自身利润增加,零售商利润减少,因此零售商不会主动把信息共享给制造商。考虑到下游的边界均衡解,供应链的利润变化还与市场的不确定性和产品的替代性有关。当产品替代性较高或产品替代率较低且市场的不确定性处于中间水平时,制造商获取信息后供应链利润增加,此时制造商可以用部分增加的利润成功购买零售商信息。该模型为上游制造商提供了最优定价和信息获取策略,也为下游零售商提供了求解自身最优销售价格、订货量和信息共享决策的方法。     

Managing Slow‐Moving Perishables in the Grocery Industry

We address the value of information and value of centralized control in the context of a two‐echelon, serial supply chain with one retailer and one supplier that provide a single perishable product to consumers. Our analysis is relevant for managing slow‐moving perishable products with fixed lot sizes and expiration dates of a week or less. We evaluate two supply chain structures. In the first structure, referred to as decentralized information sharing, the retailer shares its demand, inventory, and ordering policy with the supplier, yet both facilities make their own profit‐maximizing replenishment decisions. In the second structure, centralized control, incentives are aligned and the replenishment decisions are coordinated. The latter supply chain structure corresponds to the industry practices of company‐owned stores or vendor‐managed inventory. We measure the value of information and value of centralized control as the marginal improvement in expected profits that a supply chain achieves relative to the case when no information is shared and decision making is decentralized. Key assumptions of our model include stochastic demand, lost sales, and fixed order quantities. We establish the importance of information sharing and centralized control in the supply chain and identify conditions under which benefits are realized. As opposed to previous work on the value of information, the major benefit in our setting is driven by the supplier's ability to provide the retailer with fresher product. By isolating the benefit by firm, we show that sharing information is not always Pareto‐improving for both supply chain partners in the decentralized setting.     

Demand Forecast Sharing in Supply Chains

This paper examines the incentives of a manufacturer and a retailer to share their demand forecasts. The demand at the retailer is a linearly decreasing function of price. The manufacturer sets the wholesale price first, and the retailer sets the retail price after observing the wholesale price. Both players set their prices based on their forecasts of demand. In the make‐to‐order scenario, the manufacturer sets the production quantity after observing the actual demand; in the make‐to‐stock scenario, the manufacturer sets the production quantity before the demand is realized. In the make‐to‐order scenario, we show that sharing the forecast unconditionally by the retailer with the manufacturer benefits the manufacturer but hurts the retailer. We also demonstrate that a side payment contract cannot induce Pareto‐optimal information sharing equilibrium, but a discount based wholesale price contract can. The social welfare as well as consumer surplus is higher under the discount contract, compared with under no information sharing. In the make‐to‐stock scenario, the manufacturer realizes additional benefits in the form of savings in inventory holding and shortage costs when forecasts are shared. If the savings from inventory holding and shortage costs because of information sharing are sufficiently high, then a side payment contract that induces Pareto‐optimal information sharing is feasible in the make‐to‐stock scenario. We also provide additional managerial insights with the help of a computational study.     

Robust Predictions in Games With Incomplete Information

We analyze games of incomplete information and offer equilibrium predictions that are valid for, and in this sense robust to, all possible private information structures that the agents may have. The set of outcomes that can arise in equilibrium for some information structure is equal to the set of Bayes correlated equilibria. We completely characterize the set of Bayes correlated equilibria in a class of games with quadratic payoffs and normally distributed uncertainty in terms of restrictions on the first and second moments of the equilibrium action–state distribution. We derive exact bounds on how prior knowledge about the private information refines the set of equilibrium predictions. We consider information sharing among firms under demand uncertainty and find new optimal information policies via the Bayes correlated equilibria. We also reverse the perspective and investigate the identification problem under concerns for robustness to private information. The presence of private information leads to set rather than point identification of the structural parameters of the game.     

Vertical cost information sharing in a supply chain with value-adding retailers

We consider a supply chain consisting of one supplier and two value-adding heterogeneous retailers. Each retailer has full knowledge about his own value-added cost structure that is unknown to the supplier and the other retailer. Assuming there is no horizontal information sharing between two retailers, we model the supply chain with a three-stage game-theoretic framework. In the first stage each retailer decides if he is willing to vertically disclose his private cost information to the supplier. In the second stage, given the information he has about the retailers, the supplier announces the wholesale price to the retailers. In response to the wholesale price, in the third stage, the retailers optimize their own retail prices and the values added to the product, respectively. Under certain conditions, we prove the existence of equilibrium prices and added values. Furthermore, we obtain the condition under which both retailers are unwilling to vertically share their private information with the supplier, as well as the conditions under which both retailers have incentives to reveal their cost information to the supplier, thus leading to a win–win situation for the whole supply chain.     

Mean-risk analysis of radio frequency identification technology in supply chain with inventory misplacement: Risk-sharing and coordination

This paper investigates the application of radio frequency identification (RFID) technology to eliminate the misplacement problems in the supply chain, which consists of a risk-neutral manufacturer and a risk-averse retailer. By considering both fixed cost and tag cost of RFID implementation, we study the agents' incentives to adopt RFID in both uncoordinated and coordinated cases. We focus on analyzing the impact of risk attitudes on the agents’ incentives and on the supply chain coordination. The central semi-deviation is adopted to measure the retailer's risk attitude. In the uncoordinated case, we find that, in order to induce the retailer to adopt RFID, the manufacturer must assume more fixed cost if the retailer is more risk-averse. In the coordinated case, we first show that the standard revenue sharing contract does not always coordinate the channel. If the channel is coordinated, we observe that the agents’ incentives will be perfectly aligned and independent of the risk attitudes, if the revenue sharing ratio equals the fixed cost sharing ratio. Then we propose a risk-sharing contract that offers the risk protection to the retailer, to achieve the channel coordination. An interesting finding is that the manufacturer's incentive will not decrease with the tag cost, if she takes much risk from the retailer. The corresponding impacts of RFID adoption on the two contracts are also analyzed in this paper. Finally, a case study in a tobacco industry is presented to show the real RFID cost in practice.     

The Impact of Information Sharing on Supply Chain Performance under Asymmetric Information

The use of screening contracts is a common approach to solve supply chain coordination problems under asymmetric information. One main assumption in this context is that managers without specific incentives would rather use their private information strategically than reveal it truthfully. This harms supply chain performance. This study investigates the impact of information sharing in a principal‐agent setting that is typical for many supply chain transactions. We conduct a laboratory experiment to test whether information sharing has an influence on supply chain coordination. We find that information sharing within the supply chain has two positive effects. First, information sharing reduces the inefficiencies resulting from information deficits if there is a certain amount of trust in the supply chain. Second, communication can limit out‐of‐equilibrium behavior with a small impact on the firm's own payoff, but a large impact on the supply chain partner. Furthermore, we find that both effects are amplified when communication takes place in an environment that allows the less informed supply chain party to punish or to reward the better informed party. Although our extended mechanisms substantially enhance the poor performance of the theoretically optimal coordination contract menu, we find no mechanism that implements supply chain performance superior to the theoretically predicted second‐best level.     

Information systems outsourcing projects as a double moral hazard problem

In the past two decades many organizations have turned to other organizations to satisfy their information systems needs. Information systems outsourcing arrangements cover the spectrum from agreements involving the delivery of all information services to those providing specific services such as systems development, communications management, desktop computing provision and maintenance, and so on.In this paper we model information systems outsourcing arrangements as a non-cooperative game with two players: a company and an outsourcing vendor. The game between the two players has an inherent double moral hazard problem as the success of the information system outsourcing project depends on the actions of both players, which are costly for them and are not directly contractible. Both parties make their decisions taking into account the effects that these decisions have on the other player's actions. In our analysis, we compare the solution obtained without a moral hazard problem (the first-best solution) to the one obtained under a double moral hazard setting (the second-best solution). We demonstrate some results based on the assumption that increases in the productivity of the vendor lead to increases in the productivity of the company. Further we establish that outsourcing contracts should provide no separate payment for failure to the outsourcing vendor although effectively many of them do. We also provide a sharing rule for providing appropriate incentives for the vendor and examine the dynamics associated with this sharing rule. Finally, we further provide for the characterization of response functions and the ensuing Nash solution including the optimal outsourcing fee. This allows for the nuanced consideration of the degree of interaction between the effort of one party and the productivity of the effort of the other party. This particular interaction has not been explored formally in the extant research literature.     

Capacity Sharing and Cost Allocation among Independent Firms with Congestion

We analyze the benefit of production/service capacity sharing for a set of independent firms. Firms have the choice of either operating their own production/service facilities or investing in a facility that is shared. Facilities are modeled as queueing systems with finite service rates. Firms decide on capacity levels (the service rate) to minimize delay costs and capacity investment costs possibly subject to service‐level constraints on delay. If firms decide to operate a shared facility they must also decide on a scheme for sharing the capacity cost. We formulate the problem as a cooperative game and identify settings under which capacity sharing is beneficial and there is a cost allocation that is in the core under either the first‐come, first‐served policy or an optimal priority policy. We show that capacity sharing may not be beneficial in settings where firms have heterogeneous work contents and service variabilities. In such cases, we specify conditions under which capacity sharing may still be beneficial for a subset of the firms.     

Role of Random Capacity Risk and the Retailer in Decentralized Supply Chains with Competing Suppliers

This research considers a supply chain under the following conditions: (i) two heterogeneous suppliers are in competition, (ii) supply capacity is random and pricing is endogenous, (iii) consumer demand, with and without an intermediate retailer, is price dependent. Specifically, we examine how uncertainty in supply capacity affects optimal ordering and pricing decisions, supplier and retailer profits, and the incentives to reduce such uncertainty. When two suppliers sell through a monopolistic retailer, supply uncertainty not only affects the retailer's diversification strategy for replenishment, but also changes the suppliers’ wholesale price competition and the incentive for reducing capacity uncertainty. In this dual‐sourcing model, we show that the benefit of reducing capacity uncertainty depends on the cost heterogeneity between the suppliers. In addition, we show that a supplier does not necessarily benefit from capacity variability reduction. We contrast this incentive misalignment with findings from the single‐supplier case and a supplier‐duopoly case where both suppliers sell directly to market without the monopolistic retailer. In the latter single‐supplier and duopoly cases, we prove that the unreliable supplier always benefits from reducing capacity variability. These results highlight the role of the retailer's diversification strategy in distorting a supplier's incentive for reducing capacity uncertainty under supplier price competition.     

Horizontal capacity sharing between asymmetric competitors

A common practice to address supply-demand mismatch is capacity sharing, whereby a firm possessing excessive capacity collaborates with its rival that is incapable of meeting captured demand. However, previous studies have seldom focused on the role of capacity sharing in shaping market competition. In this paper, we investigate coopetition strategies under two widely used contracting mechanisms of capacity sharing, namely, the linear transfer payment contracting mechanism and the revenue sharing contracting mechanism. In a model of two competitors with asymmetric capacities, we find that the larger firm becomes less aggressive in market competition and benefits more from capacity sharing. Competition between the firms will be softened by capacity sharing. Moreover, competition intensity is more likely to be higher under the linear transfer payment contracting mechanism than under the revenue sharing contracting mechanism, while it may be lower if the total capacities are slightly larger than the aggregate demand.     

制造商成本削减策略对风险规避型零售商信息共享策略的影响

考虑一个风险中性制造商和一个风险规避零售商构成的供应链，需求随机且受销售价格的影响。在销售季节之前，零售商对需求进行预测，获取需求信号；制造商对生产进行投资降低生产成本。基于零售商的不同信息共享策略及制造商的投资策略，考虑四种不同策略模型，分别得到最优零售价、批发价（及投资水平），并分析需求预测精确度对供应链成员决策和效用的影响。通过四种模型效用的对比分析，探讨制造商的投资策略以及零售商的风险规避态度对零售商信息共享策略的影响。研究发现，零售商共享需求信息对于制造商总是有益的，且制造商总是愿意采取成本削减策略；只有当制造商采取成本削减策略，且其投资成本系数较低时，共享需求信息对零售商才有益。最后，得到了制造商和零售商的均衡策略。     

航空公司交叉持股对产能共享策略的影响研究

产能共享与交叉持股是航空公司常用的运作与财务策略,两种方式都能在一定条件下起到缓和竞争的作用。本文考虑两家航空公司的两种交叉持股模式,构建了包含顾客忠诚度的价格竞争模型,依据产能是否对称以及是否实施产能共享策略形成八种不同的情形,求解并分析了不同情形下的最优价格决策及对应期望利润。通过对比不同情形下的利润,本文发现,在单向持股模式下,当产能对称时,两家企业始终愿意采用产能共享策略,而当产能不对称时,如果存在产能共享,产能较小的企业将更愿意降低产品价格,导致市场竞争加剧,从而损害产能较大企业的盈利能力。因此,只有当持股比例相对较小时企业才愿意实施共享产能策略。在交叉持股模式下,当产能对称时,企业在交叉持股比例适中时才愿意实施产能共享策略。而当产能不对称时,企业始终不愿意采用产能共享策略。这也表明产能共享和交叉持股策略之间存在一定的相互替代作用,企业应根据不同市场状态协调使用两种策略。     

电子政府跨部门信息共享的激励机制设计

电子政府的实现,必须以跨部门的信息共享作为其基本前提。为了促使政府机构的跨部门信息共享,我们运用激励理论的基本方法,分析了政府机构跨部门信息共享的激励问题,建立了相应的信息共享激励模型。研究认为,为了诱导政府部门公开其垄断信息,应当同时采取正激励措施和负激励措施,两者互为担保才能保证激励效果的强壮性。本文所建立的信息共享激励模型,是基于我国国情,且主要适用于本级政府所管辖的部门。     

预测信息分享对制造商开通直销渠道的影响

研究了零售商预测信息分享对制造商渠道结构选择的影响.运用不完全信息动态博弈分别建立了单渠道和双渠道供应链决策模型,得到了贝叶斯均衡的渠道价格和各方最优期望利润.研究发现当零售商的需求预测精度比较低时,制造商应当开通直销渠道.零售商没有动机将预测信息与制造商分享.设计了一个信息分享补偿机制使得零售商能自愿分享其私有信息.在信息分享补偿机制下,虽然制造商为获取零售商预测信息付出了成本,但是依然有动机开通直销渠道.     

基于SaaS模式的服务供应链协调研究

免费试用是SaaS(软件即服务)模式市场推广的主要方式,本文研究了服务需求由服务的免费试用决定的SaaS服务供应链中AIP(应用基础设施提供商)与ASP(应用服务提供商)间的协调问题。在信息对称下,以成本共担契约激励ASP提高免费试用的努力水平;在信息不对称的情况下,AIP采用服务能力预定策略避免低技术能力ASP的机会主义行为,通过成本与风险共担的组合契约激励ASP提高免费试用的努力水平和提高服务能力订购量。研究结果表明:提出的协调契约能够使免费试用的效果达到整体最优,实现SaaS服务供应链的最优绩效并使各参与方利润帕累托改进;提高ASP的技术能力可使免费试用取得更好的效果。通过数值模拟验证了模型的有效性并得出了其管理学意义。     

存在竞争性制造商的集团采购供应链需求预测信息的共享与激励

针对两个竞争性制造商通过集团采购组织(GPO)采购部件时,是否向GPO共享需求预测信息的激励问题,考虑各制造商拥有有限信息、共享部分信息、基于产量竞争的情形,通过建立博弈模型,分析了竞争强度、信息精度和市场波动对信息共享价值的影响,进而提出了信息共享激励策略。研究表明:信息共享能够协调制造商间的竞争,当且仅当竞争强度超过某阈值时,信息共享能够增加供应链的系统预期利润,此时,用两部制补偿协议可激励制造商完全共享信息;当竞争强度和市场波动均较大时,通过信息共享激励,分散式决策能够实现比集中式决策更大的系统预期利润。最后,通过算例对研究结论进行了直观考察和说明。     

?konomie des Abschlusspr��ferwechsels

In this state-of-the-art article we survey the analytical and empirical work on the economic determinants and consequences of auditor changes. First, we define the term ??auditor change?? and touch on the legal constraints affecting auditor changes in Germany and in the USA. Additionally. we discuss the corresponding disclosure requirements associated with auditor changes in these countries. Auditor changes can be triggered by the client or by the auditor. We identify four categories under which auditor change incentives can be classified: (1) changes in contractual relationships of the client which in turn can cause a change in demand for audit quality; (2) changes of information possessed by the client or auditor concerning certain attributes of the audit; (3) changes in certain characteristics of the audit and (4) changes in regulation. We use this classification to structure our discussion of analytical models and empirical evidence. Turning to the consequences of auditor changes, we summarize the findings of the prior literature to show that capital market participants react on auditor changes and that they differentiate between both the initiator of auditor changes and the incentives to change auditor. We conclude with a discussion of some of the limitations of the current literature on auditor changes and identify some possible avenues for future research.