Organizational career management practices and objective career success: A systematic review and framework

The theorization of the relationship between organizational investments in career development and individual success remains underdeveloped, and empirical tests of this relationship, which have been dispersed among several disciplinary areas, have produced inconsistent results. Addressing these issues, the purpose of this article is to propose a theoretical framework that illustrates why and how organizational career management practices translate into career success and under what circumstances the relationship is effective. Using a systematic review of empirical studies on career management practices and objective success, we identify three theoretical mechanisms - developmental, informational, and relational - and two groups of contingency factors that explain this relationship. Our framework advances the extant literature on organizational career management and provides suggestions to companies for designing effective career management systems.     

Some Cracks in the Empire of Chance (Flaws in the Foundations of Reliability)

Making quantified statements about the uncertainty associated with the lifelength of an item is one of the most fundamental tasks of reliability assessment. Most practitioners routinely do this using one of the several available statistical techniques. The purpose of this paper is two-fold. The first is to give the user an overview of the key tenets of two of the most commonly used parametric approaches. The second is to point out that these commonly used approaches involve strategies that are either ad hoc, or are in violation of some of the underlying tenets. A method that is devoid of logical flaws can be proposed, but this method is difficult to implement. The user must therefore resign to using that technique against which the fewest objections can be hurled.     

Conditioning as disintegration

Conditional probability distributions seem to have a bad reputation when it comes to rigorous treatment of conditioning. Technical arguments are published as manipulations of Radon–Nikodym derivatives, although we all secretly perform heuristic calculations using elementary definitions of conditional probabilities. In print, measurability and averaging properties substitute for intuitive ideas about random variables behaving like constants given particular conditioning information.
One way to engage in rigorous, guilt-free manipulation of conditional distributions is to treat them as disintegrating measures—families of probability measures concentrating on the level sets of a conditioning statistic. In this paper we present a little theory and a range of examples—from EM algorithms and the Neyman factorization, through Bayes theory and marginalization paradoxes—to suggest that disintegrations have both intuitive appeal and the rigor needed for many problems in mathematical statistics.     

试析国家综合配套改革试验区

国家综合配套改革试验区作为中国区域经济发展新的战略启动点,正在为国内外所关注。它的提出顺应当今经济全球化和区域经济一体化进程加快的背景,是中国社会经济改革进入“攻坚”阶段的必然选择,是“科学发展观”的现实体现。本文从“国家综合配套改革试验区”的提出现实背景分析入手,阐述其具体的内涵、本质及其特征,并结合区域发展实践,提出建设“国家综合配套改革试验区”的具体目标。     

Bayes方法在教学效度分析上应用与实现

本文提出了基于Bayes理论方法的多元数据融合方法,给出了该方法在教学改革中教学质量综合评估中的应用,并结合体育课内容制定的实例证明了该方法的有效性。     

提高辽阳市园林绿化水平对策研究

本文在研究总结辽阳市园林绿化成就与经验的基础上 ,分析论证了辽阳市园林绿化建设存在的问题和薄弱环节及其发展目标 ,提出了辽阳市在争创全国卫生模范城的同时 ,如何进一步提高园林绿化水平的主要对策。     

Modelling of repairable systems with various degrees of repair

The availability of a stochastic repairable system depends on the failure behaviour and on repair strategies. In this paper, we deal with a general repair model for a system using auxiliary counting processes and corresponding intensities which include various degrees of repair (between minimal repair and perfect repair). For determining the model parameters we need estimators depending on failure times and repair times: maximum likelihood (ML) estimator and Bayes estimators are considered. Special results are obtained by the use of Weibull-type intensities and random observation times.     

Bayesian assessment of dimensionality in reduced rank regression

We consider Bayesian inference about the dimensionality in the multivariate reduced rank regression framework, which encompasses several models such as MANOVA, factor analysis and cointegration models for multiple time series. The fractional Bayes approach is used to derive a closed form approximation to the posterior distribution of the dimensionality and some asymptotic properties of the approximation are proved. Finite sample properties are studied by simulation and the method is applied to growth curve data and cointegrated multivariate time series.     

我国商业银行营销渠道的选择

商业银行营销渠道的选择是一项重要的战略决策，它会极大地影响其经营业绩和成本水平。目前，我国商业银行的营销渠道还比较狭窄，基层网点功能单一，服务手段落后。今后，商业银行要根据目标市场客户的需求，积极开发新的金融产品，大力整合、开发和拓宽营销渠道。