网络预算管理

本文介绍了网络预算管理是如何有效地克服传统预算方法的缺点,通过有效的控制去解决企业预算管理工作中的实际问题,指出了该预算方法能大大提高工作效率和管理效率。     

基于混合K-中心点的Web客户聚类

通过对Web日志文件进行分析，该文提出了一种改进的K-中心点聚类算法对Wweb用户的行为进行分析的方法。该算法利用模糊相似度，并模仿遗传算法中计算适应度思想，另加了一层循环迭代，每次比较适应度，保留最佳适应度，使之有较好的性能，改进了其易局部最优化的缺点。     

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。     

基于Web Services的PDM系统的研究与实现

随着Internet技术的发展,基于WEB的PDM系统必然成为未来发展的一种趋势。介绍了基于Web Services的PDM系统的体系结构、功能及其具体实现方案,并最终实现了该系统;在Web Services基础上的PDM系统有着普通B/S和C/S模式不可比拟的优势,在系统建设和实际效能方面,基于Web Services模式的应用更具先进性。     

基于Web Services的财务管理信息系统研究

随着经济全球化进程的不断深入,企业在开展财务管理信息化过程中碰到了许多问题。本文提出利用WebServices技术来解决财务集中管理和财务业务协同工作问题。首先分析了存在的问题,然后介绍了WebServices技术,最后对系统的体系结构、功能和需解决的关键问题等进行了论述。并且以.NET为开发平台,充分运用Internet技术和Web服务技术,建立了基于Web服务的企业应用模式,利用B/S模式实现了会计核算与财务管理的信息化。     

解读WEB2．0和SERVICE2．0

近两年出现的Web2.0技术在信息收集、加工,为客户提供个性化的一揽子服务方面具有巨大的潜力,使传统服务模式发生了重大的变革。本文从Web2.0入手,解读最新的Service2.0的理念,并探讨其在现代旅游业中的应用。     

面向企业营销的Web挖掘技术

WWW提供了重要的商业资源,在W eb上进行市场营销数据挖掘是非常有价值的。结合市场营销的发展趋势,探讨W eb挖掘技术及其对制定营销策略的促进作用,通过实验数据说明W eb挖掘将对市场营销提供支持有效决策的参考知识。     

Organizational capabilities in e-commerce: An empirical investigation of e-brokerage service providers

E-commerce not only has tremendous potential for growth but also poses unique challenges for both incumbents and new entrants. By examining drivers of firm performance in e-commerce from a capabilities perspective, the authors conceptualize three firm capabilities that are critical for superior firm performance in e-commerce: information technology capability, strategic flexibility, and trust-building capability. The extent and nature of market orientation is conceptualized as a platform for leveraging e-commerce capabilities. The authors test the effects of e-commerce capabilities on performance (e.g., relative profits, sales, return on investment) using data from 122 e-brokerage service providers. The results indicate that information technology capability and strategic flexibility affect performance given the right market orientation. Amit Saini (asaini2@unl.edu) is an assistant professor of marketing at University of Nebraska-Lincoln. He conducts research in the area of marketing strategy, technology-marketing interface, e-commerce strategy, and customer relationship management. He has presented papers at major conferences, and his research appears in theJournal of the Academy of Marketing Science and American Marketing Association—Marketing Educator’s Conference Proceedings. His industry experience includes sales management and quantitative market research. Jean L. Johnson (Johnsonjl@wsu.edu) is a professor of marketing at Washington State University. Her research includes partnering capabilities development in, and management of, interfirm relationships and management of international strategic alliances. Her research appears in journals such as theJournal of Marketing, the Journal of International Business Studies, theJournal of the Academy of Marketing Science, and theInternational Journal of Research in Marketing. She serves on the editorial boards of theJournal of Marketing, theJournal of the Academy of Marketing Science, the Journal of Retailing, theJournal of Business and Industrial Marketing, and reviews for others. She spent several years in the advertising industry and has lived, taught, and conducted research in France and Japan. She has been selected to cochair the 2006 winter American Marketing Association (AMA) conference.     

Web 数据挖掘及其在电子商务网站中的应用

Internet应用的普及使得数据挖掘技术的重点已经从传统的基于数据库的应用转移到了基于Web的应用,电子商务网站每天都会产生大量的数据,运用数据挖掘技术可以从这些数据中发现对市场分析及预测非常有益的信息。本文讨论了Web数据挖掘技术在电子商务中的应用。     

物流信息系统体系结构模型的研究

结合现代物流的特点对物流信息系统的构成进行了分析与研究，采用结构化的设计思想，将物流信息系统划分为四层结构模型：物流信息通信基础层、物流EDI标准层、GIS物流信息表示层、物流功能应用层。