客户关系管理是一种竞争战略

客户关系管理是当今企业管理研究的热点之一,但理论界对客户关系管理的定义、界定、体系框架一直处于热烈的争论与探讨之中。正确界定客户关系管理的定义意义重大,用战略管理方法研究客户关系管理战略。通过战略管理可以降低企业CRM系统实施的失败率。     

顾客第一论

“顾客第一”有其特定的内涵,它充分体现社会主义企业的根本目的,因而是企业所有经营观念中的一个根本性观念,也是企业生产经营的一个根本指导思想。企业要实现其双重目的,促进物质文明和精神文明建设的发展,并树立各种现代经营观念,就必须坚持顾客第一。     

西部企业发展与经济政策创新

西部地区政府的经济政策创新,可以弥补企业产权制度的缺陷,节约市场交易费用,推动企业实现效益最大化,优化资源配置,推动西部经济发展.     

外部经济、企业分工与产业集聚

从资源共享、专业化生产、交易成本的节约、创新利益四个方面分析了产业集聚的经济动因;采用超边际分析方法建立了企业分工模型,并在此基础上推演出产业集群的自组织演化模型。认为外部经济是产业集聚的经济动因,企业分工协作关系的产生和深化则是产业集群形成和发展的关键。     

对两权分离改革范式的十大实证性批判

两权分离改革范式的根本错误 ,不仅在于理论上缺乏行为分析性 ,更在于在实践中所引发的众多难题 :颠倒了自然人产权奠定法人产权的历史关系 ;没有解决国企所有者缺位的核心问题 ;延误了我国非国有企业的制度建设与全面成长的历史机遇 ;违背了世界经济发展的历史事实和基本趋势 ;没有彻底触动政治体制 ;没有解决不合理的社会关系 ;增大了我国制度变迁与经济发展的交易费用 ,没有解决国企企业家成长的制度问题 ;导致经济发展中短期化行为放大 ;社会资产缺乏理性投向。两权分离改革范式导致中国至今的经济改革走样 ,给经济发展带来现实与潜在的巨大危机与困难     

企业年金中的委托-代理风险研究

企业年金涉及雇员、雇主、账户管理人、投资管理人等多方的利益。文章分析了在不同的管理模式下,企业年金各方所形成的双层委托-代理关系,剖析了企业年金委托-代理风险形成的原因,在此基础之上,提出了应对企业年金委托-代理风险的对策。     

青岛一套表的实践与经验

 企业统计一套表一直是统计制度方法改革和实践中的焦点问题。本文通过对青岛市统计局企业一套表制度实施情况的案例分析,系统界定了企业一套表的概念和内涵,全面展现了企业一套表的运作过程,客观分析了制约企业一套表实施的主要原因,并提出了在现阶段实施企业统计一套表的条件和要求。     

Shrinkage inverse regression estimation for model-free variable selection

Summary.  The family of inverse regression estimators that was recently proposed by Cook and Ni has proven effective in dimension reduction by transforming the high dimensional predictor vector to its low dimensional projections. We propose a general shrinkage estimation strategy for the entire inverse regression estimation family that is capable of simultaneous dimension reduction and variable selection. We demonstrate that the new estimators achieve consistency in variable selection without requiring any traditional model, meanwhile retaining the root n estimation consistency of the dimension reduction basis. We also show the effectiveness of the new estimators through both simulation and real data analysis.     

Non-parametric estimation of data dimensionality prior to data compression: the case of the human development index

In many applications in applied statistics, researchers reduce the complexity of a data set by combining a group of variables into a single measure using a factor analysis or an index number. We argue that such compression loses information if the data actually have high dimensionality. We advocate the use of a non-parametric estimator, commonly used in physics (the Takens estimator), to estimate the correlation dimension of the data prior to compression. The advantage of this approach over traditional linear data compression approaches is that the data do not have to be linearised. Applying our ideas to the United Nations Human Development Index, we find that the four variables that are used in its construction have dimension 3 and the index loses information.     

Parameter selection in modified histogram estimates

A multivariate modified histogram density estimate depending on a reference density g and a partition P has been proved to have good consistency properties according to several information theoretic criteria. Given an i.i.d. sample, we show how to select automatically both g and P so that the expected L ₁ error of the corresponding selected estimate is within a given constant multiple of the best possible error plus an additive term which tends to zero under mild assumptions. Our method is inspired by the combinatorial tools developed by Devroye and Lugosi [Devroye, L. and Lugosi, G., 2001, Combinatorial Methods in Density Estimation (New York, NY: Springer–Verlag)] and it includes a wide range of reference density and partition models. Results of simulations are also presented.