Web数据挖掘技术探索与应用

Web数据挖掘是当今世界上的热门研究领域,本文从Web数据挖掘的定义开始分析研究Web数据挖掘的难点、过程等相关技术,并计论其在电子商务领域中的相关应用。     

On the Role of Weight Restrictions in Data Envelopment Analysis

This paper examines the role that weight restrictions play in Data Envelopment Analysis (DEA). It is argued that the decision to include a factor (input or output) in a DEA model represents an implicit judgement that the factor has a non-trivial weight. It therefore seems perverse to allow DEA to assign a trivial weight to that factor in assessing the efficiency of a unit. There is therefore a strong case for imposing restrictions on factor weights. However, many existing methods of weight restriction are in practice unwieldy. This paper proposes an alternative approach we term contingent weight restriction which is both practical and intellectually consistent with the DEA philosophy. The paper explores the implications of alternative methods of weight restriction using simulated data from a well known production process.     

数据标准化框架研究

文章对数据标准化涉及的一些术语进行了定义,包括数据、数据元、元数据、元模型、元数据注册系统等。在此基础上提出数据标准化包括以下几个主要方面:数据内容(语义),交换格式(语法,包括数据结构和模式),形式化表示,数据维护机制和平台。这几项内容构成了数据!标准化的基本框架。     

知识管理在供应链中的应用研究

随着知识经济时代的到来,知识管理的重要性日益突出.本文结合案例,试图将知识管理的基本理念和方法从单个企业拓展到整条供应链中,并提出了其中的一些问题和挑战.     

基于制造业ERP构建企业多层数据仓库

文章针对目前制造业ERP在决策支持方面的不足,提出了基于制造业ERP构建由标准数据仓库、多维数据库和数据挖掘库等组成的企业多层数据仓库体系框架,阐述了该体系框架的构建方法和过程,并分析了一个应用实例。     

基于合作关系的供应链信息共享模式研究

首先研究了供应链上下游合作伙伴间信息共享博弈情况，并分析了影响信息共享的障碍因素。然后，从合作伙伴合作关系的视角探讨了供成链中合作伙伴的类型及合作目的，最后以此为基础构建出供应链合作伙伴的信息共事模式及技术支撑体系。     

Productive Efficiency of the Swine Industry in Hawaii: Stochastic Frontier vs. Data Envelopment Analysis

Improving productive efficiency is an increasingly important determinant of the future of the swine industry in Hawaii. This paper examines the productive efficiency of a sample of swine producers in Hawaii by estimating a stochastic frontier production function and the constant returns to scale (CRS) and variable returns to scale (VRS) output-oriented DEA models. The technical efficiency estimates obtained from the two frontier techniques are compared. The scale properties are also examined under the two approaches. The industry's potential for increasing production through improved efficiency is also discussed.     

Localized Innovation and Productivity Growth in Asia: An Intertemporal DEA Approach

Recent contributions to growth theory stress the importance of localized innovation for the performance of more backward countries. In earlier papers, analyses by means of DEA techniques confirmed this intuition. In this paper, we extend this type of analysis by relaxing the macroeconomic viewpoint adopted until now. New databases on output, labor and capital input in the agricultural and manufacturing sectors are developed for 40 countries. Using intertemporal DEA, it is found that changes in the global production frontier are localized at high levels of capital intensity. This result is stronger in agriculture than in manufacturing. Further, a decomposition of labor productivity growth in eight Asian countries for the period 1975–1992 into the effects of capital intensification, learning and innovation is made. The results suggest that there is a particular development path in which increases in capital intensity appear to be a prerequisite to benefit from international technology spillovers.JEL Classification: O14, O30, O40, O47     

Lower Bound Restrictions on Intensities in Data Envelopment Analysis

We propose an extension to the basic DEA models that guarantees that if an intensity is positive then it must be at least as large as a pre-defined lower bound. This requirement adds an integer programming constraint known within Operations Research as a Fixed-Charge (FC) type of constraint. Accordingly, we term the new model DEA_FC. The proposed model lies between the DEA models that allow units to be scaled arbitrarily low, and the Free Disposal Hull model that allows no scaling. We analyze 18 datasets from the literature to demonstrate that sufficiently low intensities—those for which the scaled Decision-Making Unit (DMU) has inputs and outputs that lie below the minimum values observed—are pervasive, and that the new model ensures fairer comparisons without sacrificing the required discriminating power. We explain why the low-intensity phenomenon exists. In sharp contrast to standard DEA models we demonstrate via examples that an inefficient DMU may play a pivotal role in determining the technology. We also propose a goal programming model that determines how deviations from the lower bounds affect efficiency, which we term the trade-off between the deviation gap and the efficiency gap.     

The effect of interfirm dependence structures on governance mechanisms

Despite recent developments regarding the study of interdependence structures, previous research has rarely investigated the simultaneous effect of both interdependence magnitude and interdependence asymmetry on governance mechanisms among exchange parties. A survey of manufacturing companies has been used to test a theory about the interactive effect of buyer dependence and supplier dependence on inter-firm governance. The analysis of the survey supported the proposition that both buyers and suppliers that are highly dependent on each other (high interdependence magnitude and low interdependence asymmetry) may choose to rely on monitoring and the norm of information sharing. However, when a buyer's dependence is low regardless of the supplier's dependence level, the buyer does not rely on the norm of information sharing (buyer's relative interdependence advantage, buyer's relative interdependence disadvantage, and low interdependence magnitude). On the other hand, when the supplier's dependence on the buyer is low, the buyer relies on monitoring regardless of its dependence level (buyer's relative interdependence disadvantage and low interdependence magnitude). However, this study did not empirically measure performance. Further research should be done on the effect of congruence between the governance mechanism and its antecedents on buying performance.