The impact of purchasing strategy-structure (mis)fit on purchasing cost and innovation performance

The organizational design literature strongly supports the notion of “structure follows strategy”, and suggests that a misfit between the two has a negative effect on performance. Building on this line of argument, we examine to what extent the (mis)fit between purchasing strategy and purchasing structure impacts purchasing performance. We focus on cost and innovation purchase category strategies, and examine how the deviation from an ideal purchasing structure defined along three dimensions (centralization, formalization, and cross-functionality) impacts purchasing performance. Analysing data collected from 469 firms in ten countries, we demonstrate that a strategy-structure misfit negatively impacts purchasing performance in both cost and innovation strategies. We also find that purchasing proficiency is a mediator in this relationship between misfit and performance. Our findings aid managerial decision making by empirically validating the necessity of having the right purchasing structure for successfully executing different purchasing strategies.     

Relative risk aversion, relative prudence and comparative statics under uncertainty: The case of (μ, σ)‐preferences

From the expected‐utility approach, relative risk aversion being smaller than one and relative prudence being smaller than two emerge as preference restrictions that fully determine the optimal responses of decisions under uncertainty to certain shifts in probability distributions. We characterize the magnitudes of relative risk aversion and relative prudence in terms of the two‐parameter, mean‐standard deviation approach. We demonstrate that this characterization is instrumental in obtaining comparative static results in the two‐parameter setting. We further relate our findings to the results in the expected‐utility framework.     

考虑供给与需求波动性的安全库存定量研究

本文以商业企业和MTS模式下生产企业的安全库存为研究对象,将供给与需求的变动程度作为两个动态指标研究四种不同战略与运营环境下的安全库存模型,并进一步分析了降低安全库存所需的管理杠杆.     

浅谈企业房地产价值信息的背离与披露

房地产交易中企业财务报告反映的房地产账面价值与实际市场价值的背离程度大,造成了企业资产价值的“低估”。该文试图分析引起企业房地产账面价值与实际市场价值背离的原因,提出了财务报告使用者了解企业房地产实际价值的几种可操作方法。     

When to accept a sequence of gambles

When is a sequence of gambles, which is initially rejected eventually accepted? The eventual acceptance is defined as a pair property between the utility function and the sequences of gambles. A sequence of gambles is accepted when the gambles follow a large deviation principle and the utility function is non-satiated and bounded from below in a certain way. The number of gambles required for acceptance is computed.     

产业结构与就业结构关系失衡的实证分析

一般的经验分析与发达国家的经济实践已经证明,产业结构与就业结构的变动关系是较为一致的,工业化的过程既是产业结构的比重优势由第一产业向第二产业、再由第二产业向第三次产业的演替过程,同时也是劳动力资源在产业间依次转移的过程,并最终达到经济均衡。结合一般经验与国际比较,并对比较劳动生产率、结构偏离度进行实证分析的结果表明,我国产业结构与就业结构的变动关系处于失衡状态,就业结构变动显著滞后于产业结构变动,而且劳动力的产业转移具有超越第二产业、直接向第三产业转移的特征。产业结构与就业结构失衡的原因在于发展战略与经济政策、投资与消费关系的失衡以及受到技术进步的影响。     

产业结构、就业贡献率与就业增长——基于云南省第三产业的实证

通过产业结构偏离度的分解和比较,对云南第三产业就业进行实证分析,较充分论证了云南第三产业还有很大的吸纳就业的潜力,并指出了就业有效增长的第三产业内部行业的选择.研究表明:(1)近10年,云南一、二、三产业的就业贡献率分别为27.8%、2.2%、69.9%,新增就业岗位的69.9%由第三产业提供,第三产业产值每增长1个百分点,平均增加就业岗位就达1.56万个,比第二产业多0.9万个;(2)云南第三产业在发展的同时没有充分发挥其吸纳就业的能力,还有很大的就业吸纳空间;(3)批发零售贸易餐饮业、社区服务业将是云南第三产业扩大就业的主要行业,而交通运输仓储及邮电通信业则很难有较大吸纳就业的空间.     

实时OD估计中卡尔曼滤波算法研究

ITS研究中，动态OD矩阵估计是交通动态分配的关键因素。针对OD矩阵难以获得的问题，回顾动态OD矩阵估计理论的发展历程，明确该领域研究中的三个关键问题：状态变量的选择、系统方程的确定、OD量与路段流量的关系（分配矩阵）。在此基础上介绍一种基于历史OD矩阵数据的估计方法，卡尔曼滤波算法，为动态OD矩阵估计理论的进一步的研究奠定基础。     

Portfolio Optimization under Lower Partial Risk Measures

Portfolio management using lower partial risk (downside risk) measures is attracting more attention of practitioners in recent years. The purpose of this paper is to review important characteristics of these riskmeasures and conduct simulation using four alternative measures, lower semi-variance, lower semi-absolute deviation, first order below targetrisk and conditional value-at-risk.We will show that these risk measures are useful to control downside risk whenthe distribution of assets is non-symmetric. Further, we will propose a computational scheme to resolve the difficultyassociated with solving a large dense linear programming problems resulting from these models. We will demonstrate that this method can in fact solve problems consisting of10⁴ assets and 10⁵ scenarios within a practical amount of CPU time.