Identifying “best” applicants in recruiting using data envelopment analysis

Selecting the most promising candidates to fill an open position can be a difficult task when there are many applicants. Each applicant achieves certain performance levels in various categories and the resulting information can be overwhelming. We demonstrate how data envelopment analysis (DEA) can be used as a fair screening and sorting tool to support the candidate selection and decision-making process. Each applicant is viewed as an entity with multiple achievements. Without any a priori preference or information on the multiple achievements, DEA identifies the non-dominated solutions, which, in our case, represent the “best” candidates. A DEA-aided recruiting process was developed that (1) determines the performance levels of the “best” candidates relative to other applicants; (2) evaluates the degree of excellence of “best” candidates’ performance; (3) forms consistent tradeoff information on multiple recruiting criteria among search committee members, and, then, (4) clusters the applicants.     

基于农业产业化的河南省区域差距研究

文章通过泰尔指数发现从1990年到2005年，河南省区域经济的差距处于一个快速扩大的阶段。通过定量分析发现，河南省区域经济发展水平和发展速度与农业生产具有一定的负相关性，通过定性和定量分析发现，农业产业化对区域差距缩小具有一定的作用，但不起主要作用，一是由于目前河南省农业产业化水平相对还是比较低，农业收入还仅仅停留于农产品的买卖价格，工资性收入所占比重过低，二是农业产业化龙头企业带动能力还是比较弱，带动面小，限制了农区经济的发展水平和速度，最后提出了几点建议。     

Stability, Asymmetry and Seasonality of Fund Performance: An Analysis of Australian Multi‐sector Managed Funds

Using a sample of Australian Multi-sector trusts we examine selectivity and market timing performance and extend the analysis to include the relatively new measure of volatility timing. This is of particular relevance to our data set, as high levels of volatility persistence are prevalent in Australia. In addition we consider the stability, asymmetry and seasonality of the various performance and risk measures. A survivorship adjustment procedure is also employed in order to assess the impact of survivorship on selectivity, market timing and volatility timing performance.     

企业知识管理绩效综合评价案例研究

知识管理是现代企业管理的重要内容。正确分析和评价企业的知识管理绩效，对于促进企业知识管理、提高企业知识管理水平以及增强企业竞争优势，具有重要的现实意义。文章构建了企业知识管理绩效评价的指标体系，并运用模糊综合评价模型对企业知识管理绩效进行了综合评价。     

How to measure mutual fund performance: economic versus statistical relevance

In the present paper a comprehensive assessment of existing mutual fund performance models is presented. Using a survivor‐bias free database of all US mutual funds, we explore the added value of introducing extra variables such as size, book‐to‐market, momentum and a bond index. In addition to that we evaluate the use of introducing time‐variation in betas and alpha. The search for the most suitable model to measure mutual fund performance will be addressed along two lines. First, we are interested in the statistical significance of adding more factors to the single factor model. Second, we focus on the economic importance of more elaborate model specifications. The added value of the present study lies both in the step‐wise process of identifying relevant factors, and the use of a rich US mutual fund database that was recently released by the Center for Research in Security Prices.     

对可行性研究报告及经济评价的几点认识

指出在建设项目前期工作中存在的问题，建设项目前期工作滞后，前期方案深度不够，需对可行性研究报告及项目经济评价的方法与参数进一步完善，重视风险问题及清偿能力分析，提高技术经济人员的综合分析能力，实现投资决策科学化，提高经济效益。     

公路建设中路线方案多属性决策方法的研究

路线方案的比选是公路建设项目前期的一项重要工作,直接影响着项目建设能否达到预期的目标以及项目投入运营中的使用效果,如行车的安全性、舒适性、快捷性等。进行路线方案比选时,要考虑路线的线形合理性、对周边地区环境影响,项目经济效益、施工难易等多种因素对影响。本文在分析路线方案比选复杂性的基础上,对多种决策方法进行对比,选择TOPSIS法作为路线方案的决策方法。算例的结果表明该方法应用的可行性和有效性。     

基于聚类分析电信运营企业仓库布局优化研究

以某电信运营企业为例,在现场调研的基础上,分析了企业仓库布局的主要问题,应用聚类分析方法,提出了仓库布局优化方案,并进行了方案的综合评价.     

满意度测评结果分类分析

满意指数已经成为许多国家衡量经济产出质量的重要指标，为宏观经济管理提供了有效的决策参考依据，但是，如何进一步开发利用满意指数调查信息，加大对微观层面的经济组织经营管理活动的指导作用，仍然是满意度研究的重要课题。本文利用真实的用户满意指数测评调查数据，对营销管理中用户类型划分问题进行了分析，结果表明，用户满意指数测评调查数据，可以准确地将用户划分为逃离型、趋利型、受制型和忠诚型。     

Burn or bury? A social cost comparison of final waste disposal methods

This paper evaluates the two well-known final waste disposal methods, incineration and landfilling. In particular we compare the social cost of two best-available technologies using a point estimate based on private and environmental cost data for the Netherlands. Not only does our comparison allow for Waste-to-Energy incineration plants but for landfills as well. The data provide support for the widespread policy preference for incineration over landfilling only if the analysis is restricted to environmental costs alone and includes savings of both energy and material recovery. Gross private costs, however, are so much higher for incineration, that landfilling is the social cost minimizing option at the margin even in a densely populated country such as the Netherlands. Furthermore, we show that our result generalizes to other European countries and probably to the USA. Implications for waste policy are discussed as well. Proper treatment of and energy recovery from landfills seem to be the most important targets for waste policy. Finally, WTE plants are a very expensive way to save on climate change emissions.