企业动态联盟中的战略成本管理

作为外部资源整合的一种重要手段,企业动态联盟(虚拟企业)模式已引起企业界的广泛重视。动态联盟是靠某种共同利益所产生的凝聚力暂时维系在一起的,这就决定了其内部价值链比单个企业更具有动态性,其战略成本管理更侧重于项目设计和联盟企业的挑选。本文的目的在于针对这一特点,为战略成本管理思想在动态联盟中的应用提供一种方法。     

清末修律的评价及其对依法治国的启示

清末修律是中国法制史上的重大历史事件,清末修律对依法治国、建设社会主义法治国家的重要启示在于:依法治国必须与更新传统法律观念和树立现代法治意识结合起来;依法治国必须结合中国国情,正确把握学习和继受西方法律;依法治国必须吸取中华传统法律文化和优良传统道德的精华,实事求是地推进法治建设。     

碳排放影响下的动态配送车辆路径优化研究

本文考虑碳排放对动态配送车辆路径的影响,研究了客户需求点增减、客户需求量变化及配送路线交通中断三种情形下的配送车辆路径优化问题。首先,通过构建虚拟客户点,将动态车辆路径优化问题转化为静态车辆路径优化问题。其次,构建了基于改进遗传算法的动态车辆路径优化模型。最后,对比分析了考虑碳排放影响前后的动态车辆路径优化。研究结果表明：在满足时间窗要求的情况下,虽然考虑碳排放的动态车辆路径的总行驶距离增加了3.59 km,但碳排放成本和总配送成本分别下降了7.45%和1%;同时与静态车辆路径相比,在动态车辆路径问题中考虑碳排放可以使碳排放成本及总配送成本下降的更多,因此在动态车辆路径问题中考虑碳排放更具有价值意义。     

浅析思想政治教育对大学生非智力因素的培养

非智力因素对大学生的成才有着极其重要的作用.它对大学生的学习、生活、行为起着动力、导向和调节作用.高校的思想政治教育工作者应注重学生非智力因素的开发,在"两课"教学、校园文化建设中,在发挥教师的榜样作用和加强学生自我教育能力过程中,培养大学生的非智力因素.     

高层管理团队的异质性与企业绩效的实证研究

研究了我国企业所处行业的动态性对高层管理团队异质性与企业绩效关系的影响。采用我国深、沪两市356家上市公司2001~2002年的数据进行了实证分析。结果表明,在我国企业中,高层管理团队职业经验异质性、年龄异质性与行业动态性的交互作用在各自对企业绩效的影响中起了负向的调节作用,进而对这种结果进行了具体的分析和讨论,并提出了未来研究的展望。     

对国有资产中有形资产流失问题的探讨

国有资产中有形资产的流失存在动态流失与静态流失两种形式,动态流失因产权不清、管理不严或产权交易中规则不健全所致,具体又可分为经营性动态流失和人为性动态流失．静态流失与其是否进入市场交易有关．加强经济立法,完善和发展产权交易市场等可减少或避免国有有形资产的流失。     

浅析高校按生产要素分配

高校内部分配制度改革是目前高校新一轮改革中的重要问题之一,《高教法》赋以学校内部分配自主权,十五大提出的“按劳分配与按要素分配相结合”对高校内部分配改革指明了方向。学校在坚持按劳分配为主的前提下,引入要素分配理论并处理好各要素在分配中的比例关系,有利于教学、科研,有利于人才培养和人力资源配置,有利于高校的发展。     

Differential equation models for statistical functions

Differential equations have been used in statistics to define functions such as probability densities. But the idea of using differential equation formulations of stochastic models has a much wider scope. The author gives several examples, including simultaneous estimation of a regression model and residual density, monotone smoothing, specification of a link function, differential equation models of data, and smoothing over complicated multidimensional domains. This paper aims to stimulate interest in this approach to functional estimation problems, rather than provide carefully worked out methods.     

Bayes linear analysis for graphical models: The geometric approach to local computation and interpretive graphics

This paper concerns the geometric treatment of graphical models using Bayes linear methods. We introduce Bayes linear separation as a second order generalised conditional independence relation, and Bayes linear graphical models are constructed using this property. A system of interpretive and diagnostic shadings are given, which summarise the analysis over the associated moral graph. Principles of local computation are outlined for the graphical models, and an algorithm for implementing such computation over the junction tree is described. The approach is illustrated with two examples. The first concerns sales forecasting using a multivariate dynamic linear model. The second concerns inference for the error variance matrices of the model for sales, and illustrates the generality of our geometric approach by treating the matrices directly as random objects. The examples are implemented using a freely available set of object-oriented programming tools for Bayes linear local computation and graphical diagnostic display.     

Macro-Economic Factors in Credit Risk Calculations: Including Time-Varying Covariates in Mixture Cure Models

The prediction of the time of default in a credit risk setting via survival analysis needs to take a high censoring rate into account. This rate is because default does not occur for the majority of debtors. Mixture cure models allow the part of the loan population that is unsusceptible to default to be modeled, distinct from time of default for the susceptible population. In this article, we extend the mixture cure model to include time-varying covariates. We illustrate the method via simulations and by incorporating macro-economic factors as predictors for an actual bank dataset.