To Preannounce or Not: New Product Development in a Competitive Duopoly Market

In this study, we consider the issue of preannouncing or not preannouncing the development of a new product. Our research is motivated by contrasting views in the literature and varying actions observed in practice. We develop and analyze a game theoretic model that examines the effect of a firm's preannouncement of its product development. Our model is based on a durable goods duopoly market with profit‐maximizing firms. The first firm is an innovator who initially begins developing the product; the second firm is an imitator that begins developing a competing product as soon as it becomes aware of the innovator's product. We assume that consumers are rationally expectant and purchase at most one unit of the product when they have maximum positive utility surplus that is determined by the characteristics of the product, the consumer's marginal utility, and the consumer's discounted utility for future expected products. The innovator firm can release information about its product when it begins developing the product or can guard information about its product until it introduces the product into the market. Our analysis and numerical tests show that, under some conditions, the innovator firm can benefit by preannouncing its product and giving the imitator firm additional time to differentiate its product. We discuss these conditions and their implications for new product development efforts.     

Investing in a Shared Supplier in a Competitive Market: Stochastic Capacity Case

When firms invest in a shared supplier, one key concern is whether the invested capacity will be used for a competitor. In practice, this concern is addressed by restricting the use of the capacity. We consider what happens when two competing firms invest in a shared supplier. We consider two scenarios that differ in how capacity is used: exclusive capacity and first‐priority capacity. We model firms' investment and production decisions, and analyze the equilibrium outcomes in terms of the number of investing firms and capacity levels for each scenario; realized capacity is a stochastic function of investment levels. We also identify conditions under which the spillover effect occurs, where one firm taps into the other firm's invested capacity. Although the spillover supposedly intensifies competition, it actually discourages firms' investment. We also characterize the firms' and supplier's preference about the capacity type. While the non‐investing firm always prefers spillovers from the first‐priority capacity, the investing firm does not always want to shut off the other firm's access to its leftover capacity, especially when allowing spillover induces the other firm not to invest. The supplier's preference depends on the trade‐off between over‐investment and flexibility.     

Multiperiod Models with Capacities in Competitive Supply Chain

This paper considers a supply chain setting where several capacitated suppliers compete for orders from a single retailer in a multiperiod environment. At each period, the retailer places orders to the suppliers in response to the prices they announce. Each supplier has a fixed capacity. We consider a make‐to‐stock setting where the retailer can carry inventory. The retailer faces exogenous, price‐dependent demand. We study the problem using ideas from fluid models. In particular, we (i) analyze when there are pure equilibrium policies in this setting and characterize the structure of these policies; (ii) consider coordination mechanisms; and (iii) present some preliminary computational results. We also consider a modified model that uses option contracts to coordinate the supply chain.     

竞争供应链中制造商环保技术投资决策研究

本文考虑消费者对质量差异化产品的异质性偏好以及环保意识,建立了消费者效用函数以及产品需求函数,构建了差异化竞争制造商及其零部件供应商之间的动态博弈模型;进而,研究了竞争供应链中制造商环保技术投资策略,考察了市场竞争对供应链均衡定价决策、环保技术投资决策以及消费者福利的影响。研究结果表明：拥有较高技术水平的制造商总是会选择更高的环保技术投资水平,但消费者也需为此支付更高的产品溢价;制造商环保技术投资会影响产品销售价格并有利于提升消费者福利,拥有较高技术水平的制造商总是有动机选择投资环保技术,而技术水平较低的制造商则不会有动机选择投资环保技术;市场竞争会导致供应商和制造商定价决策的变化,但此时供应商反而能够获得更多利润。     

Managing Demand Risk in Tactical Supply Chain Planning for a Global Consumer Electronics Company

We consider the problem of managing demand risk in tactical supply chain planning for a particular global consumer electronics company. The company follows a deterministic replenishment‐and‐planning process despite considerable demand uncertainty. As a possible way to formally address uncertainty, we provide two risk measures, “demand‐at‐risk” (DaR) and “inventory‐at‐risk” (IaR) and two linear programming models to help manage demand uncertainty. The first model is deterministic and can be used to allocate the replenishment schedule from the plants among the customers as per the existing process. The other model is stochastic and can be used to determine the “ideal” replenishment request from the plants under demand uncertainty. The gap between the output of the two models as regards requested replenishment and the values of the risk measures can be used by the company to reallocate capacity among different products and to thus manage demand/inventory risk.     

Managing the Risk of Uncertain Threshold Responses: Comparison of Robust, Optimum, and Precautionary Approaches

Many commentators have suggested the need for new decision analysis approaches to better manage systems with deeply uncertain, poorly characterized risks. Most notably, policy challenges such as abrupt climate change involve potential nonlinear or threshold responses where both the triggering level and subsequent system response are poorly understood. This study uses a simple computer simulation model to compare several alternative frameworks for decision making under uncertainty -- optimal expected utility, the precautionary principle, and three different approaches to robust decision making -- for addressing the challenge of adding pollution to a lake without triggering unwanted and potentially irreversible eutrophication. The three robust decision approaches -- trading some optimal performance for less sensitivity to assumptions, satisficing over a wide range of futures, and keeping options open -- are found to identify similar strategies as the most robust choice. This study also suggests that these robust decision approaches offer a quantitative, decision analytic framework that captures the spirit of the precautionary principle while addressing some of its shortcomings. Finally, this study finds that robust strategies may be preferable to optimum strategies when the uncertainty is sufficiently deep and the set of alternative policy options is sufficiently rich.     

Copula及其在贷款风险管理中的应用

相关性是贷款组合管理的关键性因素.本文介绍研究相关性的一种统一而灵活的工具--copula,并使用Monte Carlo仿真方法对高斯copula和t-copula进行比较,结果表明,t-copula对度量服从厚尾分布的贷款风险比高斯copula更精确.     

Supplier Behavior in Capacity Investment Competition: An Experimental Study

Many manufacturers ensure supply capacity by using more than one supplier and sharing their capacity investment costs via supplier development programs. Their suppliers face competitive pressure from peers despite the reduced capacity investment cost. Although standard game theory makes clear prediction that cost sharing increases the suppliers' capacity choice and supply chain profit, the complex decision environment of capacity competition makes it interesting to test whether the theory predictions are robust and, if not, whether systematic deviations occur. We present a laboratory experiment study. The experiment data show that supplier subjects invested in higher capacities than what our theoretical analysis predicted, resulting in profit loss for the supply chain. Our econometric analysis indicates that the subjects are bounded rational and their concern for relative standing may be the potential driver of capacity over‐investment. Based on the experimental findings, we study a modified cost‐sharing mechanism that adapts to the behavioral biases. Its performance is validated in a second experiment.     

Managing Societal and Institutional Risk in Child Protection

Public sector services have been reshaped by two interacting factors: the growing dominance of risk management and the growing demands for transparency and accountability. For the caring professions, these have provoked radical reform. Using the child protection service as a case study, this article explores the impact of the changes on a service that deals with conflicting risks and has a poorly articulated knowledge base. Drawing on Rothstein et al. 's distinction between societal and institutional risks, it is argued that difficulties in managing societal risks are creating serious institutional risks. The latter are then being prioritized in the way the system operates. The preoccupation with such risks has been translated into concerted efforts to formalize the work of front line practitioners to make it transparent and auditable. Although done, in part, with the good intention of spreading good practice standards, this formalization has gone beyond the evidenced knowledge base to the extent that it is creating a new picture of "good practice" that omits significant dimensions of work and is distinct from measures of children's safety or welfare. Moreover, the process of formalization acts as an impediment to knowledge development in disciplines where such learning is urgently needed.     

Concerns,Challenges, and Directions of Development for the Issue of Representing Uncertainty in Risk Assessment

In the analysis of the risk associated to rare events that may lead to catastrophic consequences with large uncertainty, it is questionable that the knowledge and information available for the analysis can be reflected properly by probabilities. Approaches other than purely probabilistic have been suggested, for example, using interval probabilities, possibilistic measures, or qualitative methods. In this article, we look into the problem and identify a number of issues that are foundational for its treatment. The foundational issues addressed reflect on the position that “probability is perfect” and take into open consideration the need for an extended framework for risk assessment that reflects the separation that practically exists between analyst and decisionmaker.     

我国海外石油开发利用的国家风险评估

在对我国海外石油开发利用国家风险因素进行分析的基础上,运用模糊综合评判法构建海外石油开发利用风险评估模型,并基于层次分析法对相关风险指标体系进行权重确定;同时,选取了我国海外石油开发利用涉及的一些典型地区或国家进行石油开发利用风险评估。研究发现:政治风险是影响海外石油开发利用的非常重要风险因素;我国在中东地区进行石油开发利用的风险最大,其次是西非、北非以及俄罗斯地区。     

研发阶段新产品信息发布:时间与频率策略研究

新产品开发过程中,何时、以什么频率向外发布所开发的新产品的信息,是企业经营者需要决策的重要问题.现有的文献对新产品信息发布频率尚无直接研究,对首次发布信息时间的研究也还非常有限.本文基于信号理论和有效市场理论,以2000-2010年间我国上市公司发布的602个新产品项目为样本,采用事件研究法和回归分析,研究了研发阶段企业新产品信息发布的时间与频率策略及其市场效果.结果表明,新产品首次发布信息的时间、发布信息的频率对新产品的市场价值都存在倒U形的影响;开发过程中企业与外部商业伙伴的合作对上述两种影响产生负向的调节作用;新产品的创新性正向调节首次发布信息的时间对新产品市场价值的影响.本文的研究结果对于企业新产品开发阶段信息传播策略具有现实的指导意义.     

On the Treatment of Uncertainty and Variability in Making Decisions About Risk

Much attention has been paid to the treatment of dependence and to the characterization of uncertainty and variability (including the issue of dependence among inputs) in performing risk assessments to avoid misleading results. However, with relatively little progress in communicating about the effects and implications of dependence, the effort involved in performing relatively sophisticated risk analyses (e.g., two‐dimensional Monte Carlo analyses that separate variability from uncertainty) may be largely wasted, if the implications of those analyses are not clearly understood by decisionmakers. This article emphasizes that epistemic uncertainty can introduce dependence among related risks (e.g., risks to different individuals, or at different facilities), and illustrates the potential importance of such dependence in the context of two important types of decisions—evaluations of risk acceptability for a single technology, and comparisons of the risks for two or more technologies. We also present some preliminary ideas on how to communicate the effects of dependence to decisionmakers in a clear and easily comprehensible manner, and suggest future research directions in this area.     

Risk and Uncertainty Analysis in Government Safety Decisions

Probabilistic risk analysis (PRA) can be an effective tool to assess risks and uncertainties and to set priorities among safety policy options. Based on systems analysis and Bayesian probability, PRA has been applied to a wide range of cases, three of which are briefly presented here: the maintenance of the tiles of the space shuttle, the management of patient risk in anesthesia, and the choice of seismic provisions of building codes for the San Francisco Bay Area. In the quantification of a risk, a number of problems arise in the public sector where multiple stakeholders are involved. In this article, I describe different approaches to the treatments of uncertainties in risk analysis, their implications for risk ranking, and the role of risk analysis results in the context of a safety decision process. I also discuss the implications of adopting conservative hypotheses before proceeding to what is, in essence, a conditional uncertainty analysis, and I explore some implications of different levels of "conservatism" for the ranking of risk mitigation measures.     

Risk Perception and Technological Development at a Societal Level

This article tests the hypothesis that the exposure to the threat to societies posed by the introduction of new technologies is associated with a normalization of risk perception. Data collected in 2000 by the International Social Survey Programme (ISSP) on environmental issues were used to explore this hypothesis. Representative samples from 25 countries were employed to assess the national levels of perceived threat to the environment associated with a series of technologies and activities. These values were correlated with economic indicators (mainly from the World Bank) of the diffusion of each of the technologies or activities in each country. Results indicate a negative association of risk perception with the level of technological prevalence (societal normalization effect) and a positive association with the rate of growth of the technology (societal sensitivity effect). These results indicate that the most acute levels of perceived environmental risk are found in those countries where the level of technological prevalence is low but where there has recently been substantial technological development. Environmental awareness is a mediator of the relationship between risk perception and the indices of technological diffusion. This result means that: (1) societal normalization of risk is not a direct consequence of prevalence of the technology, but is driven by awareness of technological development and that (2) societal sensitivity to risk is associated with lower levels of environmental awareness.     

Presenting Uncertainty in Health Risk Assessment: Initial Studies of Its Effects on Risk Perception and Trust

Some analysts suggest that discussing uncertainties in health risk assessments might reduce citizens'perceptions of risk and increase their respect for the risk-assessing agency. We tested this assumption with simulated news stories varying simple displays of uncertainty (e.g., a range of risk estimates, with and without graphics). Subjects from Eugene, Oregon, read one story each, and then answered a questionnaire. Three studies tested between 180 and 272 subjects each. Two focus groups obtained more detailed responses to these stories. The results suggested that (1) people are unfamiliar with uncertainty in risk assessments and in science; (2) people may recognize uncertainty when it is presented simply; (3) graphics may help people recognize uncertainty; (4) reactions to the environmental problems in the stories seemed affected less by presentation of uncertainty than by general risk attitudes and perceptions; (5) agency discussion of uncertainty in risk estimates may signal agency honesty and agency incompetence for some people; and (6) people seem to see lower risk estimates (10^-6, as opposed to 10^-3) as less credible. These findings, if confirmed, would have important implications for risk communication.     

顾客依赖及其对顾客参与新产品开发的影响

为了降低新产品开发的风险,企业越来越强调让顾客参与到新产品开发的过程中.以B2B市场为背景,基于企业的视角,以制度经济学中的依赖理论为基础,探讨组织市场中顾客参与新产品开发的动因,通过问卷调查法初步研究顾客依赖的影响因素及其对顾客参与新产品开发的影响.研究结果表明,在B2B市场中,环境的不确定性和交易专项投资对顾客依赖产生正向的影响,顾客依赖对顾客参与新产品开发具有正向影响,信任对顾客依赖与顾客参与新产品开发的关系有正向调节作用.最后,提出相关的营销建议.     

Capturing and Integrating Knowledge for Managing Risks in Tunnel Works

Risk‐related knowledge gained from past construction projects is regarded as potentially extremely useful in risk management. This article describes a proposed approach to capture and integrate risk‐related knowledge to support decision making in construction projects. To ameliorate the problem related to the scarcity of risks information often encountered in construction projects, Bayesian Belief Networks are used and expert judgment is elicited to augment available information. Particularly, the article provides an overview of judgment‐based biases that can appear in the elicitation of judgments for constructing Bayesian Networks and the provisos that can be made in this respect to minimize these types of bias. The proposed approach is successfully applied to develop six models for top risks in tunnel works. More than 30 tunneling experts in the Netherlands and Germany were involved in the investigation to provide information on identifying relevant scenarios than can lead to failure events associated with tunneling risks. The article has provided an illustration of the applicability of the developed approach for the case of “face instability in soft soils using slurry shields.”     

Development and Consideration of Global Policies for Managing the Future Risks of Poliovirus Outbreaks: Insights and Lessons Learned Through Modeling

The success of the Global Polio Eradication Initiative promises to bring large benefits, including sustained improvements in quality of life (i.e., cases of paralytic disease and deaths avoided) and costs saved from cessation of vaccination. Obtaining and maintaining these benefits requires that policymakers manage the transition from the current massive use of oral poliovirus vaccine (OPV) to a world without OPV and free of the risks of potential future reintroductions of live polioviruses. This article describes the analytical journey that began in 2001 with a retrospective case study on polio risk management and led to development of dynamic integrated risk, economic, and decision analysis tools to inform global policies for managing the risks of polio. This analytical journey has provided several key insights and lessons learned that will be useful to future analysts involved in similar complex decision-making processes.     

Selection and Comparative Advantage in Technology Adoption

This paper investigates an empirical puzzle in technology adoption for developing countries: the low adoption rates of technologies like hybrid maize that increase average farm profits dramatically. I offer a simple explanation for this: benefits and costs of technologies are heterogeneous, so that farmers with low net returns do not adopt the technology. I examine this hypothesis by estimating a correlated random coefficient model of yields and the corresponding distribution of returns to hybrid maize. This distribution indicates that the group of farmers with the highest estimated gross returns does not use hybrid, but their returns are correlated with high costs of acquiring the technology (due to poor infrastructure). Another group of farmers has lower returns and adopts, while the marginal farmers have zero returns and switch in and out of use over the sample period. Overall, adoption decisions appear to be rational and well explained by (observed and unobserved) variation in heterogeneous net benefits to the technology.