基于区间数向量投影的主要防御方向选择

一种基于区间数向量投影的主要防御方向选择方法。针对评价指标属性和权重的区间数,构造正理想方案,计算各方案在正理想方案的投影值,根据投影值完成方案的排序优选。实例分析验证了其有效性和适用性。     

Is unemployment good for the environment?

Environmental quality is a public good, potentially impacted by everybody. Individual level pro-environmental behavior affects environmental quality in the aggregate. Therefore, it is important to understand what causes individual’s pro-environmental behaviors to change. We quantify the causal effect of one determinant, unemployment, using an EU-27 population representative Eurobarometer survey. Drawing on results from the theory of the private provision of public goods, and recognizing that unemployment decreases income and the opportunity cost of time, we formulate testable predictions that unemployment will decrease the extent of pro-environmental behaviors that require monetary contributions and increase the extent of pro-environmental behaviors that mainly require time/effort. Instrumental variables regressions provide empirical evidence to support these hypotheses. Changes in the unemployment rate within a sub-national region provide the exogenous variation needed to identify the causal effect. Several supplemental questions on the survey provide evidence that environmental issues lose saliency and economic issues gain saliency when one becomes unemployed, suggesting that interested parties may wish to emphasize cost savings of pro-environmental behavior rather than environmental benefits during times of increased unemployment.     

人格对风险决策框架效应的影响

文中在风险决策的基础上,引入人格变量,在不同的风险决策情境下探讨人格因素对风险决策框架效应的影响。结果表明：风险决策情境对框架效应是否出现影响显著;人格中的外倾内倾,感觉直觉,和思考情感维度容易产生框架效应,但框架效应能否产生还与决策情境有着密切的关系。     

基于EIQ和PCB的配送中心设备决策模型的研究

讨论了EIQ和PCB分析的基本内容.分析影响配送中心储存、分拣和搬运设备选择的因素,以及EIQ和PCB分析在配送中心设备选择中的应用,最后提出基于EIQ和PCB分析的配送中心设备决策模型DC-EDM.     

A weighted max-min model for fuzzy multi-objective supplier selection in a supply chain

Supplier selection is one of the most important activities of purchasing departments. This importance is increased even more by new strategies in a supply chain. Supplier selection is a multi-criteria decision making problem in which criteria have different relative importance. In practice, for supplier selection problems, many input information are not known precisely. The fuzzy set theories can be employed due to the presence of vagueness and imprecision of information. A weighted max-min fuzzy model is developed to handle effectively the vagueness of input data and different weights of criteria in this problem. Due to this model, the achievement level of objective functions matches the relative importance of the objective functions. In this paper, an analytic hierarchy process (AHP) is used to determine the weights of criteria. The proposed model can help the decision maker (DM) to find out the appropriate order to each supplier, and allows the purchasing manager(s) to manage supply chain performance on cost, quality and service. The model is explained by an illustrative example.     

Strategic Manipulation of Preference Information in Multi-Criteria Group Decision Methods

When group decisions involve the allocation of resources to group members, the members might have an incentive to strategically distort any information they provide in order to increase their share of resources. The paper compares several multi-criteria group decision methods with respect to this problem. We show, using a computational model, that strategic manipulation of preference information is possible in all of the methods considered, although to a different extent. Furthermore, when the solution a method generates under correct information is not Pareto-optimal, manipulation attempts might even improve the efficiency of outcomes.     

Coveted or Overlooked? The Psychology of Bidding for Comparable Listings in Digital Auctions

This article elaborates on, and provides evidence of the herd behavior bias -- the tendency to gravitate toward, and bid for, auction listings with one or more existing bids, ignoring comparable or even more attractive unbid-for listings available at the same time -- exhibited by buyers in digital auctions. Some listings attract many bidders and become coveted, the center of bidding attention, while other equivalent or even superior listings are overlooked, receiving no bids at all. Empirical analysis using data from digital auctions across different product categories shows that this herd behavior bias is attenuated with increasing bid price, but increases with the difficulty of evaluating quality. The practical implications of these findings, and promising research opportunities in this area are also discussed.     

Buyer-supplier relational characteristics and joint decision making

This paper explores propositions dealing with the influence of buyer-supplier relational characteristics on their joint decision making. Specifically, the proposed conceptual framework focuses on the link between three relational constructs (trust, commitment, relationship maturity) and two types of joint decision making (strategic and tactical). Strategic decisions are those that “expand the pie” for both parties (integrative decisions), and tactical decisions are those that “divide the pie” between the two parties (distributive decisions). We propose that the effect of relational characteristics on joint decision making is likely to be moderated by the characteristics of the supplier organization (such as team orientation) and its environment (such as competitive intensity). We conclude with a brief discussion of the implications and possible extensions of the theoretical model.     

多边共赢的供应链契约

供应链上的成员通过建立契约关系来协调各方的利益,分配供应链上新增加利润。在供应链契约中,商品的价格、数量、提前期、退货以及对拖延期限的惩罚等都是契约中的主要内容以及契约双方谈判的焦点。通过对契约中订货的数量、价格等供应链契约的决策变量的研究,建立了以契约为枢纽的网状供应链上每个成员能够获得"多赢"的"度"的量化模型。