人力资源价值计量方法演进路径及发展动态研究

人力资源价值计量方法问题是人力资源管理理论与实践中的一个重要"瓶颈"问题。文章在对相关问题的研究状况进行深入剖析的基础上,对人力资源价值计量方法问题研究的演进路径进行了详细梳理,进而分析了现有研究成果存在的主要问题,并对未来人力资源价值计量方法问题的研究趋势进行了预测,从而为未来合理解决人力资源价值计量方法问题提供了重要的参考与启示。     

微信公众号影响力指数建构与量化评估

作为被广泛使用的社交媒体,微信已经成为热点事件和网络舆情的重要策源地,科学准确评估微信公众号的影响力对于明晰微信信息传播特点,深入挖掘微信传播潜力,进一步规范和指导微信平台的传播行为具有较大的理论和实践意义。在对既有关于微信公众号影响力研究进行梳理和评价的基础上,基于传播效果测量的设计,坚持以受众为中心、由浅入深多层次考察准则,运用德尔菲法和层次分析法建构一套微信公众号影响力指标体系。该指标体系由4个一级指标和9个二级指标构成,并运用线性合成法合成微信公众号影响力指数。     

公允价值应用研究

我国在2006年新的企业会计准则体系中全面引入了公允价值,这将对会计信息的生成和呈报产生重要影响。论文阐述了公允价值的内涵,分析了公允价值的特征,从公允价值计量的可操作性、公允价值计量的信息质量的可靠性、我国的宏观经济环境、会计人员素质等方面分析了公允价值在应用中存在的问题,最后提出了在我国推行公允价值的建议。     

贫困测量中恩格尔系数的失效及分析

 恩格尔系数在我国的适用性问题是学术界重要议题之一。本文利用对哈尔滨市和沈阳市贫困人口的调查数据,分析了恩格尔系数在我国城市贫困测量中失效的问题及原因。研究者尝试对恩格尔系数的分子、分母进行了重新界定和适当的修正,研究检验表明,从宏观测量和微观测量两个方面,修正恩格尔系数都能更准确的反映我国城市贫困家庭的真实生活水平。     

Estimation in capture–recapture models when covariates are subject to measurement errors and missing data

For capture–recapture models when covariates are subject to measurement errors and missing data, a set of estimating equations is constructed to estimate population size and relevant parameters. These estimating equations can be solved by an algorithm similar to the EM algorithm. The proposed method is also applicable to the situation when covariates with no measurement errors have missing data. Simulation studies are used to assess the performance of the proposed estimator. The estimator is also applied to a capture–recapture experiment on the bird species Prinia flaviventris in Hong Kong. The Canadian Journal of Statistics 37: 645–658; 2009 © 2009 Statistical Society of Canada     

SEMIPARAMETRIC REGRESSION AND GRAPHICAL MODELS

Semiparametric regression models that use spline basis functions with penalization have graphical model representations. This link is more powerful than previously established mixed model representations of semiparametric regression, as a larger class of models can be accommodated. Complications such as missingness and measurement error are more naturally handled within the graphical model architecture. Directed acyclic graphs, also known as Bayesian networks, play a prominent role. Graphical model-based Bayesian 'inference engines', such as bugs and vibes , facilitate fitting and inference. Underlying these are Markov chain Monte Carlo schemes and recent developments in variational approximation theory and methodology.     

Happiness is not Enough: Cognitive Judgements as Indicators of National Wellbeing

The European Social Survey, on which this issue of the journal focuses, is a 30-nation multi-funded survey series measuring attitude change. Started in 2001, it is characterised by unusually high standards of sampling and data equivalence. Its data are made available on-line with equal access to all, and have already attracted over 20,000 users. Many papers, articles and books based on the ESS have already appeared. But none has yet employed the data—whether alone or with other sources—to derive indicators of citizens’ cognitive judgements of their society. A recent EC grant is enabling the authors to fill this gap, covering topics such as trust in national institutions, tolerance, social cohesion, social trust and fear of crime. The aim is to be able to monitor changes over time in the distance between what citizens believe their society ought to be in these respects and how they actually perceive it to be.

中国各民族人口发展状况的度量

人口是社会生活的主体,人口发展是社会发展的重要组成部分。但度量社会发展的方法还存在一些难以解决的问题。利用现有的评价方法,尚不能全面准确地反映中国各民族人口发展的现状。为了更加全面准确地把握人口发展状态,构建了衡量人口发展的指标体系,按照这个指标体系,分析中国各民族人口的发展现状、各民族在发展过程中所处的位置,以及他们目前存在的突出问题。     

Understanding and Measuring LGBTQ Pathways to Health: A Scoping Review of Strengths-Based Health Promotion Approaches in LGBTQ Health Research

Health research traditionally has focused on the health risks and deficits of lesbian, gay, bisexual, transgender, and queer (LGBTQ) populations, obscuring the determinants that can promote health across the life course. Recognizing, appropriately measuring, and rendering visible these determinants of health is paramount to informing appropriate and engaging health policies, services, and systems for LGBTQ populations. The overarching purpose of this article is to provide an overview of the findings of a scoping review aimed at exploring strengths-based health promotion approaches to understanding and measuring LGBTQ health. Specifically, this scoping review examined peer-reviewed, published academic literature to determine (a) existing methodological frameworks for studying LGBTQ health from a strengths-based health promotion approach, and (b) suggestions for future methodological approaches for studying LGBTQ health from a strengths-based health promotion approach. The findings of this scoping review will be used to inform the development of a study aimed at assessing the health of and improving pathways to health services among LGBTQ populations in Nova Scotia, Canada.     

Statistical measurement of the inventory shortage cost

In searching for the optimal inventory control policy, the objective is to minimize the expected total costs related, of which the shortage cost is an important element. Due to the difficulty in calculating the indirect cost of the loss of goodwill resulted from the shortage, practitioners and researchers often simply assume a fixed penalty cost on the inventory shortage or switch to the alternative method by assigning a specific customer service level. The development of an appropriate tool for measuring the shortage cost can help a business control the total costs and improve the productivity more effectively. This paper proposes probabilistic measurements of the shortage cost, based on mathematical relationship between the cost and the shortage amount. The derived closed-form estimates of the expected shortage cost value can then be applied to support the determination of the optimal inventory control policy.