高层管理团队中差绩效领导者的综合素质差异研究

本文以领导理论为导向,采取实证研究的方法,以企业组织的中层领导者为研究对象,选择企业高层管理团队为情境变量,将中层领导者的素质、中层领导者的绩效以及中层领导者所处的高层管理团队情境类型三者有机地结合起来,利用数理统计软件对已建立的数据库进行方差分析、多重比较检验等统计分析,进行了基于情境的领导素质理论的研究。     

基于跳跃、好坏波动率和马尔科夫状态转换的高频波动率模型预测

基于跳跃、好坏波动率的视角,采用比ABD检测更稳健的ADS检测法进行甄别跳跃,提出HAR改进模型,进一步考虑到实际波动率的非线性和高持续性动态,文章引入马尔科夫状态转换机制以构建对应的MRS-HAR族模型,推导其参数估计方法,并运用滚动时间窗预测技术和MCS检验评估预测模型结果,并采取不同的窗口期进行稳健性检验.以上海期货交易所的黄金连续(AU0)期货合约为研究对象,实证研究表明:结合马尔科夫状态转换机制,跳跃波动在上涨行情时会抑制未来波动性;结合马尔科夫状态转换机制,好坏波动率在上涨行情时正负冲击相对平衡,而在下跌行情时好(坏)波动率抑制(加剧)未来波动性;MCS检验证实,结合马尔科夫状态转换的MRS-HAR族模型相比于HAR族模型具有更优的预测精度,进一步考虑由ADS检测修正的好坏波动率和符号跳跃能够改善波动率模型的预测能力,其中基于符号跳跃和马尔科夫状态转换的MRS-HAR-RV-SJ模型展现了最高的预测精度.     

裁减之外的加法

美国当代著名管理学家彼得·德鲁克于1964年在《管理的实践》一书中提出：人力资源和其他资源相比较而言,惟一的区别就在于这种资源是人,它拥有其他资源所没有的素质——协调能力、亲和能力、判断能力和想象能力。德鲁克的这一说法正式提出将人当作一种资源来看待,人使用得好坏直接影响企业的经营结果。     

基于SEM的互联网金融企业信用影响因素研究

随着互联网金融的快速发展,互联网金融企业已经进入了快速发展和扩张阶段.这些企业涉足互联网金融的各项业务,其企业信用的好坏将直接决定互联网金融参与者的利益.从企业的基本财务能力、公司基本能力、互联网金融能力三个方面基于SEM构建互联网金融企业信用影响因素模型,以57家互联网金融上市企业为研究对象加以实证分析,根据分析结果对互联网金融企业的发展及监管提出科学合理的建议.     

转化差生的几点做法

转化差生的几点做法康定三中张先德甘孜教科所刘汉昌数学是提高学生素质的主要学科之一，全面提高教学质量，要面向全体学生，而差生转化的好坏是决定这一教学目标能否实现的一个重要方面，初中数学（义教版）大纲中明确写到“对学习有困难的学生，要特别予以关心，及时采...     

明确区别,总结规律,突破看图作图关

对于初学立体几何的学生来说 ,首先遇到的一个困难就是看不懂和画不准空间图形 .这个问题解决的好坏 ,直接影响后面的学习 .为此 ,本文就“看”和“画”空间图形的问题 ,谈几点意见 ,希望能对同学们尽快突破看图和画图这一难关有所帮助 .1　明确画空间图形和平面图形的区别平面几何研究的对象是平面图形 ,立体几何研究的对象是空间图形 .空间图形和平面图形既有密切的联系 ,又有本质的区别 .在学习的过程中 ,首先要明确空间图形和平面图形在作图规律方面的区别 .　1.1　作图时 ,画虚线、实线规则的区别我们知道 ,画平面几何图形时 ,原题中已…     

我国军事人才能力素质测评方法研究

围绕我国各类军事人才能力素质的测评,以某部为实证对象,按照总政治部有关人才考评的文件精神和未来信息化战争对人才的要求,构建了军队人才测评指标体系和测评方法,并对当前军队人才培养的主要途径进行了比较分析,研究结果表明,通过构建科学的测评指标体系和测评方法,能够对部队各种人才的能力素质进行科学、定量的评估,为选好用好人才提供科学依据;研究结果也表明,当前军队自行培养人才和委托地方科研院所培养人才的方式各有优劣,需要进行资源、信息等各方面的融合互补,     

高校文科高等数学教学的认识和实践

面向文科学生开设高等数学课程的主要用目的在于培养和加强其思维方式和能力,提高他们的综合素质。文科高等数学的内容应适合对象专业,教师应注重思想教学和教学方法。     

基于灰靶理论的动态评价方法

为了比较多个系统在不同时刻的发展水平和某一段时间的动态累积水平,需要进行动态评价.传统灰靶理论方法无法比较多个系统在某一时间段各个时刻和总体的发展水平,只考虑各评价指标值的差异程度(现状),不考虑指标值增长程度.将二维数据加入时序数据扩展为三维数据,提出基于灰靶理论的动态评价方法,该方法既可以得到各评价对象(方案)好坏程度的评价值及排序结果,也可以得到各评价对象(方案)增长程度的评价值及排序结果,还可以得到同时考虑各评价对象指标值差异程度和增长程度的综合评价值.既可以得到各评价对象(方案)各时刻的综合评价值及排序,也可以得到各评价对象在某个时间段内总体的评价值和排序结果.基于靶心度可以进行模式识别、分级和选优.基于贡献度分析,可以分析各指标对模式靶心度的影响程度,从而找到关键影响因素.最后用一个实例说明本研究实际应用上的有效性.该方法给动态评价提供了思路,是综合评价方法研究的有益补充,可以利用该方法进行应用研究.     

《高等数学研究》稿约

一、宗旨、内容、对象1、本刊是国家科技部批准,国内外公开发行的数学期刊。其宗旨主要是配合大学的数学教育,研究高等数学的理论、方法及应用,指导和帮助大学生更好地学习和理解大学数学的内容、方法和思想,提高大学生的数学素质,促进大学数学教学和素质教育水平的提高,为培养     

新疆城镇化水平综合评价模型研究

城镇化是社会、经济发展的产物,受地理、环境、资源等因素的影响,我国不同区域以及新疆各地的城镇化进程存在很大差异.因此,对城镇化发展进行客观而综合评价就显得十分必要.使用主成分分析法对新疆统计年鉴提供的相关数据进行了降维处理,得到了与新疆城镇化水平相关的三个主成分(经济城镇化、生活城镇化和资源城镇化),给出了新疆20个城市的三个主成分得分,并对此加权得到了各城市城镇化水平的综合得分.据此,总结了新疆各城市城镇化发展的特点,并提出了各个城市应认清自身优势和劣势,充分把握对口支援和全国科技支疆机遇,推进新疆城镇化建设.     

基于F-DEA赋权耦合的军工企业装备维修能力评价模型

权重系数的确定是多指标综合评价中的核心问题.针对传统数据包络分析评价模型中对指标赋权方法研究的不足,以军工企业装备维修能力的评价为例,在构建装备维修能力评价指标的基础上,利用SPSS软件计算出各决策单元的因子得分,并依据可测函数的有关性质对非正得分进行转换,利用转换结果构建了数据包络分析的有关输入、输出矩阵,最终构建出基于因子分析（Factor Analysis, FA）与数据包络分析（Data Envelopment Analysis,DEA）的F-DEA赋权耦合模型.借助MATLAB 的运算结果,证明了该模型的可行性与有效性;并据此给出提高相应决策单元装备维修能力的关键因素及其改进方案.     

基于离差最大化-灰色关联分析的商业银行竞争力评价研究

从安全性、盈利性、流动性、成长性四个方面构建了商业银行竞争力评价指标体系;用离差最大化方法确定指标权重,反映了指标数据本身的离散程度和动态变化,避免了人为赋权的主观随意性;用灰色关联分析确定评价得分,避免了对样本数量和数据分布的限制.通过离差最大化灰色关联分析模型并结合Ward聚类对中国14个上市商业银行的竞争力评价进行了实证研究,实证结果揭示了不同商业银行竞争力的显著差异和各银行的竞争优势与制约因素.     

Reconciling ratio analysis and DEA as performance assessment tools

The assessment of operational performance remains a fundamental challenge both in practice and in theory. Data envelopment analysis (DEA) is one method developed in production economic theory and applied by researchers to study groups of enterprises. In practice, individual enterprises almost universally rely on simple output–input ratios. Each approach has its strengths and weaknesses, but the theoretical connection between the two has not been fully articulated. This paper uses the framework of DEA to establish a mathematical relationship between DEA efficiency scores and corresponding ratio analysis. The relationship can be expressed as a product of seven components: technical efficiency, technical change, scale efficiency, input slack factor, input substitution factor, output slack factor and output substitution factor.     

预测地区公民旅游消费额的L.R—L.P模型

如何对地区公民旅游消费总额进行预测 ,是经济工作者及相关行业关注的问题 .本文用模糊系统分析的方法 ,建立一个地区的 L.R— L.P模型 ,利用模型的参数进行预测 ,提供一种辅助方法 .     

Technical efficiency,managerial efficiency and objective-setting in the educational system: an international comparison

This study uses data envelopment analysis to analyse the efficiency of educational systems in 31 countries. This type of evaluation is of interest both when formulating a model for analysis and when applying such a model empirically. The efficiency of an educational system must take into account the students' economic and social background, as this is an environmental factor that decisively influences their performance. This is a highly important aspect and so we propose a specific evaluative process for it. Secondly, we evaluate the efficiency of educational systems in different countries, an analysis that has few forerunners since the majority of previous research has focused on analysing a single country. The results suggest that, in general, the most efficient management of educational systems can be found in those countries with a Communist past. They also suggest that there is a series of developed countries, which, judging by the results obtained, could increase their students' performance with even fewer resources than those currently allocated to their educational systems.     

Data envelopment analysis with common weights: the compromise solution approach

A characteristic of data envelopment analysis (DEA) is to allow individual decision-making units (DMUs) to select the factor weights that are the most advantageous for them in calculating their efficiency scores. This flexibility in selecting the weights, on the other hand, deters the comparison among DMUs on a common base. In order to rank all the DMUs on the same scale, this paper proposes a compromise solution approach for generating common weights under the DEA framework. The efficiency scores calculated from the standard DEA model are regarded as the ideal solution for the DMUs to achieve. A common set of weights which produces the vector of efficiency scores for the DMUs closest to the ideal solution is sought. Based on the generalized measure of distance, a family of efficiency scores called ‘compromise solutions’ can be derived. The compromise solutions have the properties of unique solution and Pareto optimality not enjoyed by the solutions derived from the existing methods of common weights. An example of forest management illustrates that the compromise solution approach is able to generate a common set of weights, which not only differentiates efficient DMUs but also detects abnormal efficiency scores on a common base.     

Greek football clubs’ efficiency before and after Euro 2004 Victory: a bootstrap approach

This paper examines the technical efficiency of Greek football clubs, taking into account the period before the Euro 2004 victory and the period thereafter. The first stage of analysis is based on a bootstrapped data envelopment analysis approach so as to determine Greek clubs’ efficiency scores during these two distinct time periods. The second stage of analysis investigates possible factors that may have affected the efficiency scores during the examined periods. Our findings reveal that Greek football clubs exhibit surprisingly lower efficiency scores after Euro victory. In effect and explained in the context of the Resource Based Theory, there appears to be no classification of types of football clubs into various divisions, viz. laggards, followers and champions. Finally, it is also found that clubs’ financial health appears to be a crucial factor for their performance in both periods.     

Dynamics of the general factor of personality: A predictor mathematical tool of alcohol misuse

There are few studies developed about the general factor of personality (GFP) dynamics. This paper uses a dynamical mathematical model, the response model, to predict the short-term effects of a dose of alcohol on GFP and reports the results of an alcohol intake experiment. The GFP dynamical mechanism of change is based on the unique trait personality theory (UTPT). This theory proposes the existence of GFP, which occupies the apex of the hierarchy of personality. An experiment with 37 volunteers was performed. All the participants completed The five-adjective scale of the general factor of personality (GFP-FAS) in trait-format (GFP-T) and state-format (GFP-S) before alcohol consumption. The participants in the experimental group (28) received 26.51 g of alcohol and a slight food, while the participants in the control group (9) just received the food. Every participant filled the GFP-S each 7 minutes. The results show that GFP is modified by a single dose of alcohol: both the high scores of GFP-T and the high scores of GFP-S explain the most part of the alcohol impact. Moreover, they prove that the response model calibration to the GFP-S scores reproduces the biphasic GFP dynamics as a consequence of an alcohol dose intake described by the literature. In fact, the results also demonstrate that the response model provides the UTPT prediction: the high scores of GFP-T predict a stronger stimulant-like effect and a stronger inhibitor effect. Thus, the response model is a useful mathematical tool to predict those individuals inclined to the alcohol misuse.