基于战略协同的子公司战略研究方法

处于子公司地位的企业如何制定战略是战略研究中经常遇到的问题。结合一个集团公司内部子公司战略制定的实例,提出了一套基于母子公司战略协同的子公司战略制定的思路与方法,并给出了一种功能与业务组合的关系矩阵作为确定子公司业务组合的方法,把子公司的功能划分为两个方面。通过明确子公司应具备的功能,确定其相应的业务组合。     

利用矩阵滤波技术估计信号二维波达方向

现有的基于子空间的波达方向估计算法都要求不相关信号源的数目小于阵元数目,但当信号源数目很多时,算法失效.为此,提出了一种具有过载估计能力的二维波达方向估计方法,先利用矩阵滤波技术接收数据进行预处理,使信号子空间限定在一个较小的区域内,把区域外的信号抑制掉,从而减小了有效的信号源数目,然后可以采用现有算法进一步估计二维波达方向.矩阵滤波器的设计过程也可以归结为一个最小二乘问题,效率很高.计算机仿真验证了算法的有效性.     

现代企业活力分析

面对来自美国为首的世界经济衰退对中国的影响 ,来自全球化网络经济的冲击 ,以及 2 0世纪中国经济发展中的遗留问题 ,中国应继续执行和相应调整“两手政策” ,并着重采取发挥现代企业活力的政策。在阐述现代企业活力分析的目的和内容的基础上 ,建立了将现代企业活力的技术分析和经济分析相结合的分析理论体系、程序和方法。     

基于AHP的企业经营者平衡记分卡指标权重的研究

平衡计分卡被国内外学者普遍认为是一套能比较全面反映经营者绩效增长的绩效评价体系,然而对于经营者平衡记分卡的四个纬度权重的定量研究却很少涉及。运用AHP,通过专家打分构造多个判断矩阵,计算得出群组综合判断矩阵并进行层次单排序,确定了企业经营者平衡记分卡四个纬度的权重,较好地实现了定性与定量的结合,而且通过对群组综合判断矩阵进行一致性检验,提高了权重确定的信度和效度。     

潮流雅可比矩阵的对称性指标

针对潮流雅可比矩阵的对称性问题，根据零对角元素实矩阵与其对称及反对称矩阵奇异值之间的关系构造实矩阵的对称指标。指标间的比较不仅包括2-范数（最大奇异值）和F-范数的比较，同时也包括奇异值加权和的比较。这些指标同样适用于复矩阵。IEEE 30系统算例表明了其有效性。     

Finding Generators for Markov Chains via Empirical Transition Matrices, with Applications to Credit Ratings

In this paper we identify conditions under which a true generator does or does not exist for an empirically observed Markov transition matrix. We show how to search for valid generators and choose the "correct" one that is the most compatible with bond rating behaviors. We also show how to obtain an approximate generator when a true generator does not exist. We give illustrations using credit rating transition matrices published by Moody's and by Standard and Poor's.     

论我国饭店集团市场战略模型的构建及其具体战略选择

集团化道路已经成为我国饭店业发展的必由之路，而市场战略抉择的困惑制约着我国饭店集团快速、健康的发展。借鉴GE矩阵构建了饭店集团市场战略模型，并以此为工具对我国饭店集团的业务优势与饭店市场吸引力的等级做出了定性的划分；在此基础上对我国不同类型饭店集团在一线市场、二线市场所应采取的具体市场发展战略提出了建设性意见。     

NUSAP: a method to evaluate the quality of assumptions in quantitative microbial risk assessment

The Numeral Unit Spread Assessment Pedigree (NUSAP) system was implemented to evaluate assumptions in a quantitative microbial risk assessment (QMRA) model for Salmonella spp. in minced pork meat. This QMRA model allows the testing of mitigation strategies for the reduction of human salmonellosis and aims to serve as a basis for science‐based policy making. The NUSAP method was used to assess the subjective component of assumptions in the QMRA model by a set of four pedigree criteria: ‘the influence of situational limitations’, ‘plausibility’, ‘choice space’ and ‘the agreement among peers’. After identifying 13 key assumptions relevant for the QMRA model, a workshop was organized to assess the importance of these assumptions on the output of the QMRA. The quality of the assumptions was visualized using diagnostic and kite diagrams. The diagnostic diagram pinpointed assumptions with a high degree of subjectivity and a high ‘expected influence on the model results’ score. Examples of those assumptions that should be dealt with care are the assumptions regarding the concentration of Salmonella on the pig carcass at the beginning of the slaughter process and the assumptions related to the Salmonella prevalence in the slaughter process. The kite diagrams allowed a clear overview of the pedigree scores for each assumption as well as a representation of expert (dis)agreement. The evaluation of the assumptions using the NUSAP system enhanced the debate on the uncertainty and its communication in the results of a QMRA model. It highlighted the model’s strong and weak points and was helpful for redesigning critical modules. Since the evaluation of assumptions allows a more critical approach of the QMRA process, it is useful for policy makers as it aims to increase the transparency and acceptance of management decisions based on a QMRA model.     

企业财务目标的三个理论解说

财务目标选择的讨论与纷争由来已久，但很少有人对财务目标差异化和动态优化做出理论解释。本文针对理论财务目标与现实财务目标存在偏差的事实，对企业财务目标进行理论解释，包括财务目标差异说、财务目标缺陷说，在此基础上，将财务目标的选择和实施紧密地联系起来，提出财务目标优化和财务优化说。井就财务目标选择和实施所形成的不同组合条件下的财务状态提供一种动态的分析方法。     

Optimality and efficiency of small chessboard designs for correlated errors

Optimal p × q row–column designs are obtained via complete enumeration of all possible designs for two treatments in some fixed effects models with errors specified by a doubly geometric covariance structure. This is done, in part, by a computer search, for a finite set of sizes of the correlation coefficients and in cases where p and q are small enough to make such a search feasible.