高新企业并购中的人力资源整合管理

在产业升级、结构调整以及经济一体化等因素的推动下,我国高新技术企业的并购规模和数量一直呈现不断上升趋势,并购的地域范围不再限于国内,全球范围的并购案例也迅速增长。越来越多的高新技术企业寻求通过并购方式来提高企业核心竞争能力,谋求企业的可持续发展。然而,并非所有的并购都能成功。     

Monitoring the coefficient of variation using a variable sample size and sampling interval control chart

This article proposes a CV chart by using the variable sample size and sampling interval (VSSI) feature to improve the performance of the basic CV chart, for detecting small and moderate shifts in the CV. The proposed VSSI CV chart is designed by allowing the sample size and the sampling interval to vary. The VSSI CV chart's statistical performance is measured by using the average time to signal (ATS) and expected average time to signal (EATS) criteria and is compared with that of existing CV charts. The Markov chain approach is employed in the design of the chart.     

“新金融”发展态势及上海的鼓励政策研究

中国式"新金融"规模不断扩大,对中国经济发展和宏观调控产生了重要影响。它在一定程度上使得经济增长与实体经济背离,也未能完全解决中小企业融资难问题。当前政策的出发点,不应仅出于控制金融风险而对"新金融"加以限制,更多的还是应考虑如何加大力度引导资金流向中小企业等实体经济。上海"新金融"政策定位,应借助"新金融"体系,引导社会资金流向实体经济,并以金融支持科技创新和产业升级转型为重点,以活跃和繁荣金融机构和中介服务体系为抓手,构建上海"新金融"鼓励政策。     

行业协会对企业机会主义行为的治理模型及实证分析

目前,我国企业的各种机会主义行为普遍存在,如何从机制上约束企业的这种行为已经成为一个理论研究的热点和难点问题。文章在文献研究的基础上,运用结构方程模型,以企业为视角,通过建构行业协会功能与企业机会主义行为约束条件因子之间的相关关系,得出了可以通过行业协会的功能发挥来有效治理企业机会主义行为的结论,文章旨在为制约企业失信行为提供有意义的参考。     

Selecting the normal population with the smallest variance: A restricted subset selection rule

Consider k( ? 2) normal populations whose means are all known or unknown and whose variances are unknown. Let σ²_[1] ? ??? ? σ_[k]² denote the ordered variances. Our goal is to select a non empty subset of the k populations whose size is at most m(1 ? m ? k ? 1) so that the population associated with the smallest variance (called the best population) is included in the selected subset with a guaranteed minimum probability P* whenever σ²_[2]/σ_[1]² ? δ* > 1, where P* and δ* are specified in advance of the experiment. Based on samples of size n from each of the populations, we propose and investigate a procedure called R_BCP. We also derive some asymptotic results for our procedure. Some comparisons with an earlier available procedure are presented in terms of the average subset sizes for selected slippage configurations based on simulations. The results are illustrated by an example.     

校企合作构建第二课堂的实施效果分析及评价——基于圣奥班(家具设计专业)毕业生跟踪问卷的调查

南京林业大学与浙江圣奥(木业)集团联合创建的“圣奥班”是校企合作联合培养创新型家具设计工程专业人才的成功平台之一.基于圣奥班毕业生的问卷调查,对学生进班动机与目标定位、比较优势、获得的帮助、专业能力提升,以及今后办班建议等方面内容进行了分析.统计结果表明,学校和企业共同搭建的圣奥班平台对学生创新意识,专业能力、就业竞争力等诸多方面都有显著的提升.     

上海国资引领战略性新兴产业发展

上海国资在战略性新兴产业发展中有其独特的优势，同时也存在一系列问题。明确提出上海国资发展战略性新兴产业的战略目标、战略定位，正确选择上海国资战略性新兴产业的重点发展领域，系统论述上海国资引领战略性新兴产业发展的具体路径，提出六种发展模式和七大产业平台建设，以及上海国资引领战略性新兴产业发展的主要配套政策措施等。     

“社会企业”与“食物银行”:澳门特区的社会管理创新刍议

伴随着经济的飞速发展,社会管理体制绝不能产生任何滞后。随着经济社会各领域发生深刻地变化,由政府高度主导的社会管理模式亦需要与时俱进地创新。作为国家特别行政区之一的澳门,近年来在经济上取得长足发展、政府公共财政收入颇为理想的情况下,不断探索"以民为本"的社会管理模式,努力辅助弱势社群,解决社会问题,持续营造良好的社会环境,促进社会和谐。澳门特区近年来推出的"社会企业"和"食物银行",是澳门政府现阶段社会管理的着力举措,体现出澳门特区的社会管理体制创新的特点。     

A Five-Decision Testing Procedure to Infer the Value of a Unidimensional Parameter

ABSTRACT

A statistical test can be seen as a procedure to produce a decision based on observed data, where some decisions consist of rejecting a hypothesis (yielding a significant result) and some do not, and where one controls the probability to make a wrong rejection at some prespecified significance level. Whereas traditional hypothesis testing involves only two possible decisions (to reject or not a null hypothesis), Kaiser’s directional two-sided test as well as the more recently introduced testing procedure of Jones and Tukey, each equivalent to running two one-sided tests, involve three possible decisions to infer the value of a unidimensional parameter. The latter procedure assumes that a point null hypothesis is impossible (e.g., that two treatments cannot have exactly the same effect), allowing a gain of statistical power. There are, however, situations where a point hypothesis is indeed plausible, for example, when considering hypotheses derived from Einstein’s theories. In this article, we introduce a five-decision rule testing procedure, equivalent to running a traditional two-sided test in addition to two one-sided tests, which combines the advantages of the testing procedures of Kaiser (no assumption on a point hypothesis being impossible) and Jones and Tukey (higher power), allowing for a nonnegligible (typically 20%) reduction of the sample size needed to reach a given statistical power to get a significant result, compared to the traditional approach.     

Utilizing Bayesian predictive power in clinical trial design

The Bayesian paradigm provides an ideal platform to update uncertainties and carry them over into the future in the presence of data. Bayesian predictive power (BPP) reflects our belief in the eventual success of a clinical trial to meet its goals. In this paper we derive mathematical expressions for the most common types of outcomes, to make the BPP accessible to practitioners, facilitate fast computations in adaptive trial design simulations that use interim futility monitoring, and propose an organized BPP-based phase II-to-phase III design framework.