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.     

数据仓库相关问题的探讨

综述了数据仓库的概念、特点、结构及其关键技术，对创建数据仓库系统过程中存在的有关问题进行了探讨，并展望了其发展趋势。     

Data Fixation and the Use of Traditional Versus Activity-Based Costing Systems

An important debate in the contemporary accounting literature relates to the relative merits of activity-based versus volume-based product costing methodologies. Traditional volume-based costing systems are said to be flawed and may seriously mislead strategic decision making. Such arguments assume that decision makers use such information in an unproblematic way. This article reports on an experiment designed to investigate whether decision makers are able to overcome data fixation in a setting involving the use of product cost information. In response to criticisms of previous accounting studies of data fixation, subjects received some feedback after each decision, and were rewarded based on performance. The experiment involved subjects making a series of production output decisions based on detailed case information of a hypothetical firm facing different market conditions for each decision. A between-subjects design was utilized with two cost system treatments: activity-based costing (ABC) and traditional costing (TC). It was hypothesized that the group provided with ABC cost data would make 'optimal' decisions and the group provided with TC cost data would overcome fixation. The results of the experiment indicated that there was, in general, evidence of data fixation among TC subjects, but a small number of subjects did adjust to ABC costs. These results are discussed in the light of previous research and some future directions are outlined.     

利用OLE技术实现Excel与dBase的通信

论述了一种基于OLE自动化技术、利用Excel的OLE对象实现Excel与dBase数据库之间进行通信的方法，并给出了在VB下实现该技术的主要代码。     

RESEARCH NOTE: ERRORS IN THE OCTOBER HOUSEHOLD SURVEY 1994 AVAILABLE FROM THE SOUTH AFRICAN DATA ARCHIVE1

The on‐line electronic documentation supplied with the 1994 October Household Survey by the South African Data Archive (SADA) appears to be incorrect. In particular, the electronic version of the questionnaire does not correspond to the hard copy in the possession of the author. The most serious error is that the race classification in the electronic copy is different from the classification on the hard copy. Researchers relying on the electronic copy will erroneously interchange the categories “Coloured”, “White” and “Black”. This could lead to seriously misleading analyses. The reason for this mistake can probably be attributed to a retyping of the questionnaire using the 1993 OHS as a template.     

Hypothesis tests using data envelopment analysis

A substantial body of recent work has opened the way to exploring the statistical properties of DEA estimators of production frontiers and related efficiency measures. The purpose of this paper is to survey several possibilities that have been pursued, and to present them in a unified framework. These include the development of statistics to test hypotheses about the characteristics of the production frontier, such as returns to scale, input substitutability, and model specification, and also about variation in efficiencies relative to the production frontier.     

中国宏观经济统计数据异常性和波动性特征的计量检验:1953～2001

对于宏观经济统计数据的异常性和波动性进行分析，已成为研究数据质量的最核心内容之一。本文从经济系统的角度运用随机方差扩大模型对我国36个宏观经济时间序列的数据质量进行了全面分析，发现了数据异常及波动的特点和规律。研究结论表明，大部分异常点的出现或多或少都是以聚集成堆的形式出现，它们之间有深刻的内在联系，异常点的出现大多与各种历史因素以及外部冲击有关；几乎所有的原始序列都有显著的偏度，过多的峰度也是明显的，因此它们被显著地拒绝认为服从正态分布；名义序列的特征在更大程度上受到异常点的影响。     

DEA evaluations of long- and short-run efficiencies of digital vs. physical product “dot com” companies

This paper applies Data Envelopment Analysis to determine relative efficiencies between internet dot com companies that produce only physical products and those that produce only digital products. To allow for the fact that the latter are relatively inexperienced, a distinction is made between long- and short-run efficiencies and inefficiencies, with a finding of no statistically significant difference in the short run but digital product companies are significantly more efficient in the long run. A new way of distinguishing between long- and short-run performances is utilized that avoids the need for identifying the time periods associated with long-run vs. short-run efficiencies and inefficiencies. In place of “time,” this paper utilizes differences in the “properties” that economic theory associates with long- and short-run performances.     

利率风险与债务期限结构的正反馈效应分析

本文在总结以前学者有关债务期限结构分析的基础上,提出了债务期限结构与利率波动之间可能存在正反馈机制。通过对经筛选的我国上市企业面板数据的实证分析,发现银行间同业拆借利率可以较好地反映企业债务期限结构的变化。而分行业的实证分析则表明,利率波动加剧会使绝大多数行业的短期债务比例降低,呈现显著负相关关系。但现阶段我国的利率形成受企业债务期限结构变化的影响不明显,长短期的面板Granger因果检验无法通过。最后,本文从利率风险及利率期限结构的角度对我国上市公司特殊的债务结构给出了新的解释。     

遗传算法及其在客户关系管理中的应用研究

遗传算法是一种宏观意义下的仿生优化算法，它模拟生物在自然环境中的遗传和进化过程而形成的一种自适应全局优化概率搜索算法。这种算法可以用于对海量的客户信息进行搜索，提取对决策有用的信息，让企业在激烈的市场竞争中处于有利地位，最终达到最高利润。本文还通过一个简单的实例研究将该算法应用在客户关系管理中。