施工项目技术经济综合管理研究

本文主要分析和总结了有关施工项目管理中的人力资源管理、施工质量控制、施工进度与成本控制、合同管理以及信息技术的应用等方面存在的突出问题以及科学、有效的解决办法,可为类似项目管理或研究提供参考．从对施工项目管理研究中得出的结论对加快施工进度、降低工程成本、提高工程质量具有重要的实际意义和广泛推广的经济价值．     

物理实验管理系统的构建与实现

介绍了通过运用网络平台构建物理实验中心的管理系统,以实现学生选课、成绩管理、教学信息管理和发布、教学资料的上网及仪器管理等一系列的功能,使物理实验中心的各项工作有序而高效.     

中心化开放式大学物理实验教学管理系统的设计

研究型大学建设背景下,农林院校大学物理实验实行中心化开放式教学,有效发挥公共基础课教学的基础性作用,具有十分重要的意义.根据高等农林院校中心化开放式教学的特点,采用B/S和C/S混合模式,设计了中心化开放式大学物理实验教学管理系统.该系统的使用保证了中心化开放式大学物理实验教学体系的运行,实现了多元化的考核方式,使物理实验教学中心资源发挥了最大效益,在提高学生的综合素质、培养学生的创新精神与实践能力方面发挥重要作用.     

价格与质量双重竞争下电商平台渠道模式决策研究

近年来传统电商正加速从经销商转变为连接消费者与供应商的在线市场中间商,电商平台与供应商形成三种渠道结构：经销商模式、混合模式和在线市场模式。本文通过构建Stackelberg博弈模型讨论产品质量与价格双重竞争情境下电商平台与供应商销售合作模式最新选择问题。研究表明,当价格竞争强度适中而佣金比例较大时,混合模式是电商平台最优选择,此时产品质量差异最大;当价格竞争强度较小而佣金比例较大时,在线市场模式则是最优选择;在其他条件下,经销商模式是其最优选择。本文结论对电商平台与供应商合作模式选择、产品质量与定价决策具有参考价值。     

基于期望损失厌恶的供应链期权契约协调研究

以一个损失厌恶销售商与一个损失中性供应商组成的两级供应链为背景,利用期望损失厌恶理论对销售商在期权契约下的最优采购策略进行了研究,并证明了期望损失厌恶理论能有效克服传统基于前景理论的研究中因参考点外生且固定假设带来的弊端。在此基础上,进一步给出了供销双方在期权契约下实现协调共赢的条件,分析了销售商损失厌恶程度,期权契约价格等参数对供应链协调共赢机制的影响。结果显示：销售商的损失厌恶偏好并不会改变权利金分配整体供应链利润的作用,但会增强销售商分享收益的能力,改变供销双方利润或效用水平对权利金,产品销售价格和生产成本的敏感程度,且较高的损失厌恶偏好还会阻碍供销双方协调共赢目标的达成。     

高管薪酬监督博弈与独立董事有效性研究

研究聚焦董事会内部沟通网络,基于独立董事信息共享机制探讨对高管薪酬的监督效果。研究发现,独立董事相互之间通过共享信息来增强对高管自利行为的抑制能力,有效降低了高管薪酬。同时,管理者权力对独立董事信息共享机制的监督效力起到调节作用,具体表现为随着管理者权力的增强,独立董事信息共享对于高管薪酬的约束作用被弱化,这一结果说明独立董事信息共享机制的监督有效性受到管理者权力的限制。研究构建了独立董事信息共享指标,并基于董事会监督博弈过程分析信息共享对高管自利行为的约束过程,最后运用A股上市公司数据加以验证。研究拓展了对独立董事监督机制的认识,为打开董事会“黑箱”、提升董事会绩效提供新视角,促进公司治理机制由静态结构研究向动态过程研究转化。     

‘New mathematics’ and teaching

Inside the scientific world it is not always understood that the mood of mathematics, which is a product and a part of culture, can change with time. This is partly why many have been surprised by the coming of the so‐called new mathematics.

In the truly creative mathematical mind two opposite tendencies coexist: the logical and the imaginative. Apparently it seems that new mathematics can be reduced to a purely logical machinery. In fact it contains as much imaginative contributions as classical mathematics. But it is difficult to show simultaneously the logical sequence of propositions and the clumsy progression of research itself. Mathematical exposition does not always follow the ‘ most natural slopes’ of the mind. Unfamiliar presentations often give an impression of ‘ abstraction ‘, more familiar ones an impression of concreteness ‘.

So it appears that difficulties with new mathematics are mostly of psychological origin. Misuses of it can easily raise up intolerance reactions and emotional blocks. Perhaps insisting upon the fact that, here as elsewhere, it is important to be able to guess, to realize that intuition and imagination are essential, could help to make new mathematics better understood, more useful and more able to be considered as a unifing element among sciences.     

基于OKRs思想的研究生科研管理模式——以油水分离网膜相关研究为例

OKRs（objective&key results，目标与关键性成果）是目前较为先进的企业管理模式，它与传统的KPI（key performance indicator）管理模式最大的区别就是重过程、重沟通、重自律。这些特点使得OKRs管理模式非常适用于研究生的科研管理。在目前国内高校研究生招生规模不断扩大的大背景下，利用OKRs提高研究生管理效率，激发研究生自主学习和科研的热情与激情，进而提高研究生教育质量显得尤为重要。构建了基于OKRs思想的全新研究生科研管理模式，并以“油水分离网膜相关研究”为例进行了案例分析，为研究生的科研管理提供了有效的借鉴与参考。     

Supplier quality improvement: The value of information under uncertainty

We consider supplier development decisions for prime manufacturers with extensive supply bases producing complex, highly engineered products. We propose a novel modelling approach to support supply chain managers decide the optimal level of investment to improve quality performance under uncertainty. We develop a Poisson–Gamma model within a Bayesian framework, representing both the epistemic and aleatory uncertainties in non-conformance rates. Estimates are obtained to value a supplier quality improvement activity and assess if it is worth gaining more information to reduce epistemic uncertainty. The theoretical properties of our model provide new insights about the relationship between the degree of epistemic uncertainty, the effectiveness of development programmes, and the levels of investment. We find that the optimal level of investment does not have a monotonic relationship with the rate of effectiveness. If investment is deferred until epistemic uncertainty is removed then the expected optimal investment monotonically decreases as prior variance increases but only if the prior mean is above a critical threshold. We develop methods to facilitate practical application of the model to industrial decisions by a) enabling use of the model with typical data available to major companies and b) developing computationally efficient approximations that can be implemented easily. Application to a real industry context illustrates the use of the model to support practical planning decisions to learn more about supplier quality and to invest in improving supplier capability.     

Two-stage financial risk tolerance assessment using data envelopment analysis

Typical questionnaires administered by financial advisors to assess financial risk tolerance mostly contain stereotypes of people, have seemingly unscientific scoring approaches and often treat risk as a one-dimensional concept. In this work, a mathematical tool was developed to assess relative risk tolerance using Data Envelopment Analysis (DEA). At its core, it is a novel questionnaire that characterizes risk by its four distinct elements: propensity, attitude, capacity, and knowledge. Over 180 individuals were surveyed and their responses were analyzed using the Slacks-based measure type of DEA efficiency model. Results show that the multidimensionality of risk must be considered for complete assessment of risk tolerance. This approach also provides insight into the relationship between risk, its elements and other variables. Specifically, the perception of risk varies by gender as men are generally less risk averse than women. In fact, risk attitude and knowledge scores are consistently lower for women, while there is no statistical difference in their risk capacity and propensity compared to men. The tool can also serve as a “risk calculator” for an appropriate and defensible method to meet legal compliance requirements, known as the “Know Your Client” rule, that exist for Canadian financial institutions and their advisors.