翻译标准的多元性、动态性和模糊性

翻译标准是衡量译文质量优劣的一种尺度,古今中外关于翻译标准的论述异彩纷呈,但没有一个放之四海而皆准的标准。通过分析各种翻译标准发现,翻译标准难以统一的主要原因在于翻译标准的本质特性,即：翻译标准的多元性、动态性和模糊性。     

Generalized Kerridge’s inaccuracy measure for conditionally specified models

Recently, conditional Renyi’s divergence of order α and Kerridge’s inaccuracy measures are studied by Navarro et al. (2014 Navarro, J., Sunoj, S.M., Linu, M.N. (2014). Characterizations of bivariate models using some dynamic conditional information divergence measures. Commun. Stat. Theory Methods 43:1939–1948.[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]). In the present article, a generalized dynamic conditional Kerridge’s inaccuracy measure is introduced, which can be represented as the sum of conditional Renyi’s divergence and Renyi’s entropy. Some useful bounds are obtained using the concept of likelihood ratio order. The results are extended to weighted distributions. Sufficient conditions are obtained for the monotonicity of the proposed measure. Characterizations for bivariate exponential conditional distribution are presented based on the proposed measure.     

Semi-parametric segmentation of multiple series using a DP-Lasso strategy

We consider a semi-parametric approach to perform the joint segmentation of multiple series sharing a common functional part. We propose an iterative procedure based on Dynamic Programming for the segmentation part and Lasso estimators for the functional part. Our Lasso procedure, based on the dictionary approach, allows us to both estimate smooth functions and functions with local irregularity, which permits more flexibility than previous proposed methods. This yields to a better estimation of the functional part and improvements in the segmentation. The performance of our method is assessed using simulated data and real data from agriculture and geodetic studies. Our estimation procedure results to be a reliable tool to detect changes and to obtain an interpretable estimation of the functional part of the model in terms of known functions.     

Dynamic factor structure of team performances in Liga MX

Team performance of the Mexican Football League (Liga MX), measured as the percentage of the total points obtained during each short tournament, is analyzed using Dynamic Factor Models (DFMs). The estimation of the common components is carried out with Principal Components and the stochastic nature of the DFM is studied through Panel Analysis of Non-stationarity in Idiosyncratic and Common Components. The results reveal that there are two common factors, one being possibly non-stationary. These factors show an interesting dynamic behavior in the league and allow to split the teams into two groups, namely, top competitors and emerging or relegated teams. Some discussion is given in this direction.     

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。     

我国反垄断执法机构革新探析

国内外的实践证明,反垄断执法机构在规制经营者竞争行为、维护市场竞争秩序、保护消费者权益等方面均有着重要的地位。我国《反垄断法》于2007年8月30日通过,自2008年8月1日起施行。执法四年多来,我国的反垄断法执法机构存在许多不足之处,其中反垄断法执法机构的统一性、权威性、能力建设（CapacityBuilding）等方面值得我们关注。     

基于Agent和进化博弈的服务商动态联盟协同管理策略研究

基于进化博弈理论,实现了用于服务商动态联盟协同管理工作的多智能体模拟系统,并进行模拟数据分析。扩展传统对称静态博弈为含惩罚参数和协同效率参数的离散进化博弈情形,设计一种含历史信息和近邻特征的群体进化学习规则;在Repast基础上,用java编程实现了多加盟企业进化博弈Agent模拟系统并进行分析。结果表明:agent规模数对平均收益影响小,具有不同决策特征的agent的比例分布能改变企业的平均收益,不同协同率、沟通方式和惩罚参数对期望收益有影响。为电子商务和移动商务环境下的动态联盟管理决策提供参考。     

基于动态分析的中国知识密集型服务业概念与分类研究

知识密集型服务业作为现代服务业中最具发展活力与创新动力的部门,在提升企业竞争力、推动经济发展过程中发挥着日益重要的作用.通过对已有知识密集型服务业概念及分类的差异比较,分析其存在的缺陷并探究造成此缺陷的深层次原因,进而阐述中国知识密集型服务业的发展现状.最后,在把握知识密集型服务业不断成长的动态特质基础上,揭示中国知识密集型服务业的四大特征与概念及其具体分类.     

面向CRM的动态质量体系管理数据的模型

以ISO9000质量管理体系为背景,本文详细地分析了企业质量体系管理的信息层次结构与流程,针对质量体系的制定、改版以及质量持续改进,研究了质量体系管理对数据模型的复用性、可引用性与可回朔性的要求,讨论了现有质量管理信息系统的局限性,提出了动态质量体系管理数据模型,给出了模型的结构和功能,总结了所提模型的特点。最后,给出了实例分析。     

动态竞争的战略主题及核心能力的提升路径

现代企业之间的竞争已经从过去的静态竞争演变到动态竞争,核心能力成为竞争优势的最终来源和动态竞争的根本驱动因素。这就要求企业将过去的产品中心战略转变为能力中心战略,利用汲取机制和组织学习持续提升核心能力,保持和扩大竞争优势。