产品责任、企业社会责任偏好与供应链中的质量-数量协调

在产品质量和产品数量（订货量）内生化的情形下，同时实现其质量和数量的协调将成为供应链管理的一个重要问题。进一步，在产品低质量对消费者造成伤害的情形下，制造商将面临着产品责任（表征制造商对消费者产品伤害的补偿），从而导致"产品责任如何影响供应链中的质量-数量协调"这一问题。最后，如果核心企业具有对消费者的企业社会责任（CSR）偏好，则这种CSR偏好又如何影响供应链中的质量-数量协调？针对这三个问题，首先，利用批发价合同构建了一个由上游制造商和下游零售商组成的两级供应链运作博弈模型；其次考察了制造商产品责任、CSR偏好程度和质量改进效率对其产品质量决策、批发价合同和相应的供应链节点企业利润的影响；最后，研究了供应链质量-数量协调问题。结果表明：（1）产品责任不影响产品质量、订货量、供应链节点企业经济利润和消费者剩余，但制造商批发价随产品责任的增加而增加；（2）随着CSR偏好程度的增加，产品质量、订货量、零售商经济利润、供应链系统经济利润和消费者剩余随之增加，而制造商经济利润随之减小；（3）质量改进效率的提高，有利于产品质量、订货量、零售商经济利润、供应链系统经济利润和消费者剩余的增加；（4）一个由数量折扣契约和质量改进成本分担契约共同构成的协调机制，可以有效的实现供应链系统的协调，其中，产品责任将促使数量折扣契约中产品批发价的增加和质量改进成本分担比例的减小，而CSR偏好程度的增加将促使数量折扣契约中产品批发价的减小，但不影响质量改进成本分担比例。     

The Environment as a Supply Chain Management Issue

This paper investigates the issues for purchasing and supply chain managers in the context of environmentally-sound management.
The discussion begins with an analysis of relevant consumer attitudes, legislation and concepts in environmentally-sound management (life-cycle analysis, waste management, product stewardship, etc.), linking them to supply-chain management practices such as vendor assessment, total quality management, lean supply and collaborative supply strategies. In each case, parallels are drawn between established practice and new imperatives that require innovative solutions from managers.
The paper then explores the results of fresh field research with five major UK companies, identifying the different ways in which the challenges introduced above are being faced, and adding some extra perspectives to the debate already covered. The discussion concludes with a projection of common issues and ideas for areas of supply chain management that might profit from better environmentally-sound approaches.     

Supply Chain Strategies for Perishable Products: The Case of Fresh Produce

This paper examines supply chain design strategies for a specific type of perishable product—fresh produce—using melons and sweet corn as examples. Melons and other types of produce reach their peak value at the time of harvest; product value deteriorates exponentially post‐harvest until the product is cooled to dampen the deterioration. Using the product's marginal value of time (MVT), the rate at which the product loses value over time in the supply chain, we show that the appropriate model to minimize lost value in the supply chain is a hybrid of a responsive model from post‐harvest to cooling, followed by an efficient model in the remainder of the chain. We also show that these two segments of the supply chain are only loosely linked, implying that little coordination is required across the chain to achieve value maximization. The models we develop also provide insights into the use of a product's MVT to develop supply chain strategies for other perishable products.     

Impact of product proliferation on the reverse supply chain

Product variety is one of the most important advantages in highly competitive markets. However, excessive product proliferation's reducing the profit margin has caused increased focus on developing a management method for maximal profit. In a closed-loop supply chain, product proliferation affects the reverse supply chain as well as the forward supply chain. Although increasing the number of product types can better satisfy diverse customer needs, complexity in the product recycling, remanufacturing, and resale processes may erode a firm's overall profits. In this study, we develop a mathematical model for analyzing a capacitated reverse supply chain consisting of a single manufacturer and multiple retailers. We reveal closed-form solutions for the optimal batch size and maximal profit, and discuss managerial insights into how the number of products and other factors can affect both batch size and profit. Finally, we investigate the relationship between product proliferation and the choice of logistics strategy.     

Supply Chain Integration,Product Modularity,and Market Valuation: Evidence from the Solar Energy Industry

Supply chain integration is increasingly seen as a method to obtain flexibility and, consequently, to provide competitive advantage for firms within a supply chain. Product modularity, either in concert with or independent of such integration, can also produce flexibility for firms within a supply chain. In this proof‐of‐concept research, we explore whether the supply chain network affects each constituent firm's market valuation and how decisions regarding the level of supply chain integration and the usage of product modularity are associated with the value of the supply chain. We develop a method to identify and measure the supply chain's effect on each constituent firm's market valuation. Results indicate that greater integration is associated with a higher supply chain valuation, whereas increasing aggregated product modularity across the supply chain relates to a lower supply chain value. However, when combined, the interaction of aggregated product modularity and supply chain integration is positively associated with the supply chain's valuation.     

考虑市场细分的零售商自主以旧换新策略研究

在越来越多企业开始自主推行以旧换新业务的背景下,本文从供应链的视角出发,构建考虑市场细分和消费者效用的策略模型,研究零售商自主以旧换新策略选择及相应的供应链决策问题,着重分析市场细分和旧产品折旧程度对策略选择、决策和供应链效率的影响.研究发现:零售商的策略选择除了受产品制造成本影响外,还依赖于外部客户比例和旧产品折旧程度;当老客户占比和旧产品折旧度处于某区域时,自主以旧换新策略优于无以旧换新策略;在某些情况下,制造商的期望策略与零售商的最优策略相悖;供应链效率受客户比例和旧产品折旧度影响.此外,当老客户占比或旧产品折旧度高于某阈值时,老客户对主体的利润贡献大于新客户.本文的研究结论对企业在供应链环境下推行以旧换新政策有一定的理论指导意义.     

生鲜农产品供应链关系契约稳定性影响研究——以冷链设施补贴模式为视角

基于我国当前生鲜农产品供应链中产品价格、盟员关系不稳定,农户和消费者利益受损的现实,本文通过构建两种供应链组织模式下的利润模型,研究了关系契约对农产品生鲜度及供应链利润的影响,并探讨了其"自我执行"机制;分析不同组织模式下冷链设施补贴模式对关系契约稳定性的影响。研究表明,关系契约在提升农产品生鲜度及供应链利润方面有显著作用,但不能完全保证契约的稳定性;引入冷链设施虽在进一步提高生鲜度及利润方面有明显作用,但不同引入方式对关系契约稳定性影响较大,而选择恰当的冷链设施补贴模式("公司+合作社+农户"组织模式下政府对农业合作社的补贴)可提升农产品生鲜度及农户盈利水平,最终提升生鲜农产品供应链关系契约的稳定性。     

Adaptive Tactical Pricing in Multi‐Agent Supply Chain Markets Using Economic Regimes

In today's complex and dynamic supply chain markets, information systems are essential for effective supply chain management. Complex decision making processes on strategic, tactical, and operational levels require substantial timely support in order to contribute to organizations' agility. Consequently, there is a need for sophisticated dynamic product pricing mechanisms that can adapt quickly to changing market conditions and competitors' strategies. We propose a two‐layered machine learning approach to compute tactical pricing decisions in real time. The first layer estimates prevailing economic conditions—economic regimes—identifying and predicting current and future market conditions. In the second layer, we train a neural network for each regime to estimate price distributions in real time using available information. The neural networks compute offer acceptance probabilities from a tactical perspective to meet desired sales quotas. We validate our approach in the trading agent competition for supply chain management. When competing against the world's leading agents, the performance of our system significantly improves compared to using only economic regimes to predict prices. Profits increase significantly even though the prices and sales volume do not change significantly. Instead, tactical pricing results in a more efficient sales strategy by reducing both finished goods and components inventory costs.     

Risk, Statistical Inference, and the Law of Evidence: The Use of Epidemiological Data in Toxic Tort Cases

Toxic torts are product liability cases dealing with alleged injuries due to chemical or biological hazards such as radiation, thalidomide, or Agent Orange. Toxic tort cases typically rely more heavily than other product liability cases on indirect or statistical proof of injury. There have been numerous theoretical analyses of statistical proof of injury in toxic tort cases. However, there have been only a handful of actual legal decisions regarding the use of such statistical evidence, and most of those decisions have been inconclusive. Recently, a major case from the Fifth Circuit, involving allegations that Benedectin (a morning sickness drug) caused birth defects, was decided entirely on the basis of statistical inference. This paper examines both the conceptual basis of that decision, and also the relationships among statistical inference, scientific evidence, and the rules of product liability in general.     

供应链道德风险逾渗的临界状态研究

为了确定能将供应链道德风险控制在不对供应链造成重大危害的临界点,构建以人为力度的供应链道德风险复杂网络模型,并据此给出供应链道德风险诱发的传递特性和拓扑特性的变化规律。按照逾渗理论,根据供应链中道德风险传递的特征,以随机攻击与蓄意攻击两种方式控制供应链道德风险的传递过程,确定出在随机攻击与蓄意攻击两种策略下,需要控制的最小数量的员工,从而确定供应链道德风险逾渗的临界状态。结论认为,随机攻击时供应链道德风险系统呈现鲁棒性,而蓄意攻击时供应链道德风险系统呈现脆弱性,蓄意攻击供应链道德风险这种策略是非常有效,并且这种临界概率取决于供应链系统的结构以及道德风险的特征。     

How to identify liabilities of foreignness and assess their effects on multinational corporations

This article examines the liabilities of foreignness construct and discusses key methodological and research design issues facing liability of foreignness researchers. After reviewing past studies and more recent liabilities of foreignness research, I discuss definitional issues related to this construct. I then present a two-part research framework designed to first help identify a specific liability of foreignness in a focal country, and then help identify factors that minimize the effects of that specific liabilities of foreignness. I also discuss multinational management issues at the corporation level that likely affect liabilities of foreignness experienced at the foreign subsidiary level.     

Coordinating a Supply Chain When Facing Strategic Consumers

This article examines the impact of strategic consumers on the efficiency and coordination of a supply chain. We consider a supply chain consisting of a manufacturer and a newsvendor retailer selling a seasonal product to strategic consumers, who may choose to wait for clearance sales to maximize their intertemporal utility. Under a prenegotiated supply contract, the retailer chooses retail price and ordering quantity simultaneously. After that, the strategic consumers, who may be heterogeneous in their patience levels, make purchasing decisions. We find that strategic consumer behavior can hurt the supply chain efficiency due to severe double marginalization, and that a simple buyback contract can coordinate the supply chain. Nevertheless, we show that the supply chain does become more difficult to coordinate when strategic consumers are present: the set of buyback contractual terms that coordinate the chain shrinks as consumers are more willing to wait, and the chain profit cannot be arbitrarily allocated between the firms. Contrary to popular intuition, this result implies that the retailer may enjoy some benefit from consumers' strategic waiting. In addition, we find that the retailer's gain is the highest when impatient and patient consumers are comparably mixed in the population.      

A Transaction‐Efficiency Analysis of an Internet Retailing Supply Chain in the Music CD Industry*

The emergence of the Internet may have fundamentally altered the mechanisms underlying information exchanges between sellers and end consumers. However, little attention has been given to the impact these mechanisms have on the efficiency of supply chain operations. This paper begins to address this deficiency in the literature by evaluating supply chain transaction efficiency effects from Internet purchases by consumers. It develops and empirically tests a theoretical framework examining the role Internet purchases have in establishing transaction‐efficiency levels in product exchanges involving sellers, placed at different supply chain echelons, and consumers. The theoretical framework integrates the transaction‐cost and internet economics, inter‐organizational information systems, and supply chain management literatures. Empirical testing, via structural equation modeling, is based on archival data in the Internet music CD market. The results show that Internet‐mediated purchases by consumers allow for greater transaction efficiencies when inventory ownership is postponed farther upstream in the supply chain and supply chain echelons are disintermediated. The results also indicate that channel structure configuration, defined by the supply chains' Internet retailing echelon, moderates these transaction efficiency effects.     

Co‐opetition and Investment for Supply‐Chain Resilience

This paper considers the problem of disruption risk management in global supply chains. We consider a supply chain with two participants, who face interdependent losses resulting from supply chain disruptions such as terrorist strikes and natural hazards. The Harsanyi–Selten–Nash bargaining framework is used to model the supply chain participants' choice of risk mitigation investments. The bargaining approach allows a framing of both joint financing of mitigation activities before the fact and loss‐sharing net of insurance payouts after the fact. The disagreement outcome in the bargaining game is assumed to be the result of the corresponding non‐cooperative game. We describe an incentive‐compatible contract that leads to First Best investment and equal “gain” for all players, when the solution is “interior” (as it almost certainly is in practice). A supplier that has superior security practices (i.e., is inherently safer) exploits its informational advantage by extracting an “information rent” in the usual spirit of incomplete information games. We also identify a special case of this contract, which is robust to moral hazard. The role of auditing in reinforcing investment incentives is also examined.     

MASCOT: An agent-based architecture for dynamic supply chain creation and coordination in the internet economy

The emerging global internet economy will increasingly put a premium on the ability of companies to quickly and accurately evaluate new market opportunities, new product/ subcomponent designs, and other strategic business decisions (e.g. make-or-buy) in coordination with potential supply chain partners. It also requires that companies be able to effectively and efficiently coordinate activities, e.g. production and transportation across supply chains that are dynamically set up in response to constantly changing and increasingly customized market requirements. This paper provides an overview of MASCOT ('multi-agent supply chain cordination tool'), a reconfigurable, multi-level, agent-based planning and scheduling architecture aimed at supporting these functionalities. It reviews key innovative elements of the MASCOT architecture with a special emphasis on its support of realtime mixed-initiative 'what-if' functionalities, enabling endusers at different levels within the architecture to rapidly     

Supply chain coordination through cooperative advertising with reference price effect

Cooperative advertising, which usually occurs in a vertical supply chain, is typically a cost sharing and promotion mechanism for the manufacturer to affect retail performance. Research in the literature, however, rarely considers the important phenomenon that advertising has a positive effect on the consumer's reference price. In fact, when a consumer makes a decision to buy a product or not, a reference price is usually in his mind and plays a determinant role. Taking into account the impact of advertising on the reference price, this paper proposes a dynamic cooperative advertising model for a manufacturer–retailer supply chain and analyzes how the reference price effect would influence the decisions of all the channel members. In our model, both the consumer's goodwill and reference price for the product are assumed to be influenced by the advertising and are modeled in differential dynamic equations. In addition, the advertising level, the consumer's goodwill and the reference price are all assumed to have positive effect on sales. Utilizing differential game theory, this paper formulates the optimal decisions of the manufacturer and the retailer in two different game scenarios: Stackelberg game and cooperative game. Also, this paper proposes a new mechanism to coordinate the supply chain in which both the manufacturer and the retailer share each other's advertising costs.     

考虑延时效应的供应链动态合作广告策略研究

广告的延时效应是供应链广告过程中的普遍现象,对供应链合作广告策略的制定具有重要影响.文章研究当产品品牌信誉受广告延时效应影响时供应链的合作广告策略问题,建立了含有时间延迟的品牌信誉动态模型和考虑品牌信誉的产品销售量模型.运用极大值原理,得到了制造商和零售商在分散式决策和集中式决策下的最优广告投入、品牌信誉和利润,以及分散式决策下制造商的最优合作广告参与率.研究发现:在集中式决策下制造商和零售商的最优广告投入和产品销售量均高于分散式决策下的相应值;延迟时间存在一个阈值,当延迟时间低于该阈值时,集中式决策下的供应链利润较高,反之则分散式决策下的供应链利润较高.研究结果为供应链合作广告策略的制定及供应链决策机制的选择提供了一定的参考.最后,通过数值算例分析了广告延迟时间对供应链最优广告策略及决策机制的影响.     

Fresh-product supply chain management with logistics outsourcing

We consider a supply chain in which a producer supplies a fresh product, through a third-party logistics (3PL) provider, to a distant market where a distributor purchases and sells it to end customers. The product is perishable, both the quantity and quality of which may deteriorate during the process of transportation. The market demand is random, sensitive to the selling price as well as the freshness of the product. We derive the optimal decisions for the three supply chain members, including the 3PL provider's transportation fee, the producer's shipping quantity and wholesale price, and the distributor's purchasing quantity and retail price. We find that the presence of the 3PL provider in the supply chain has a significant impact on its performance. We propose an incentive scheme to coordinate the supply chain. The scheme consists of two contracts, including a wholesale-market clearance (WMC) contract between the producer and the distributor, and a wholesale-price-discount sharing (WDS) contract between the producer and the 3PL provider. We show that the proposed contracts can eliminate the two sources of “double marginalization” that exist in the three-tier supply chain, and induce the three parties to act in a coordinated way.     

The Roles of Supply Chain Intelligence and Adaptability in New Product Launch Success

Many new product introductions continue to be unsuccessful, and while researchers have studied product development processes, relatively few studies directly address new product launch. We do so in the present research and posit that supply chain intelligence, defined as technological and competitive knowledge sourced and integrated from suppliers, customers, and competitors, plays an important role in explaining new product launch success. We further employ the knowledge‐based view to theorize that both supply chain adaptability and product innovation capability act as important mediators of the effects of supply chain intelligence on new product launch success and firm financial performance. While the former capability refers to a firm's ability to quickly adjust its supply chain to react to market and product design changes, the latter refers to the firm's proficiency in developing innovative new products. We test hypothesized relationships among these factors utilizing data collected in a survey of 229 U.S. manufacturing firms. Results point to the central role of supply chain adaptability in capturing the benefits of supplier technological intelligence for enhanced product innovation capability, new product launch success, and firm financial performance. In contrast, product innovation capability serves as the generative means by which customer and competitor intelligence is translated into more successful new product launches, which, in turn, produce superior firm financial performance. Overall, these findings contribute to a better understanding of factors that can explain why certain product launches are more successful than others, and offer practical insights for appropriate investments in the development of related knowledge resources.     

Technical Note—Demand Uncertainty Reduction in Decentralized Supply Chains

This note analyzes the effects associated with reducing demand uncertainty in a decentralized supply chain comprising one manufacturer, one retailer, and a wholesale price contract that governs the transactions between them. The demand uncertainty level is parameterized through a mean‐preserving spread, and the manufacturer's and the retailer's equilibrium decisions are solved accordingly. We consider the case of an exogenous retail price as well as the case of an endogenous retail price, and we find in both cases that the manufacturer's and the retailer's expected profits in equilibrium are not necessarily monotone decreasing in the uncertainty level. Thus, we find that, even if the cost of reducing demand uncertainty is zero, uncertainty reduction can hurt rather than benefit either or both members of the supply chain.