中小学学校管理信息化存在的误区

中小学学校管理信息化是我国教育信息化的一个重要内容,但是当前在认识和建设中都还存在一些误区。通过对中小学管理信息化常见误区进行分析,提出了对中小学学校管理信息化的正确认识,列出了典型中小学学校管理信息系统的功能结构。     

管理信息系统交互设计的研究及其设计方法

随着管理信息系统的广泛使用,其人机交互的问题日渐突出。试图将交互设计的理念引入到管理信息系统的设计和开发中去。从交互设计的概念入手,明确设计目标,并结合管理信息系统的本质,阐明了进行管理信息系统交互设计的意义。同时结合现行的管理信息系统的分析设计现状,提出了基于流程的交互设计的方法（Process based Interaction Design）。流程设计是管理信息系统的核心部分,将交互设计和流程设计结合起来,能使系统获得更好的交互性。     

管理信息系统交互设计的研究及其设计方法

随着管理信息系统的广泛使用,其人机交互的问题日渐突出.试图将交互设计的理念引入到管理信息系统的设计和开发中去.从交互设计的概念入手,明确设计目标,并结合管理信息系统的本质,阐明了进行管理信息系统交互设计的意义.同时结合现行的管理信息系统的分析设计现状,提出了基于流程的交互设计的方法(Process based Interaction Design).流程设计是管理信息系统的核心部分,将交互设计和流程设计结合起来,能使系统获得更好的交互性.     

Web政协提案管理信息系统的设计与实现

随着网络的发展,互联网的便捷性被世人所认同,各种管理信息系统也不断涌现.但目前许多政协提案管理信息系统存在一些问题和不足,在分析了现有的政协提案管理信息系统的基础上,设计了Web政协提案管理信息系统,这是一个基于ASP.NET和SQL Server2005相结合的管理信息系统.通过研究管理信息系统的一般设计原理,根据需求来设计政协提案管理信息系统的总体结构并实现各种功能.通过实际运用,已有效解决政协提案的网上提交、网上查询、网上流转等管理问题.实践证明,Web政协提案管理信息系统具有良好的兼容性和实用性.     

管理信息系统模式的比较与分析

结合管理信息系统的发展现状,本文首先阐述了目前管理信息系统较为常用的设计实现模式,在此基础上,文章深入分析了各种管理信息系统实现模式的优势劣势,以指导管理信息系统的设计开发。     

一种综合物价管理信息系统的设计

在介绍了HQ物价管理信息系统的整体设计目标和技术方案的基础上,阐述了HQ物价管理信息系统具体的设计方法和实现技术方案,详细介绍了HQ物价管理信息系统的各种功能模块。     

管理信息系统软件体系结构的合约模式

管理信息系统软件体系结构的设计需要良好的设计模式来保障系统的开放性、可扩展性和系统的持续发展。合约的概念来源于社会、经济系统,是区别和联系社会、经济单元的基本准则。文章把合约的概念用于抽象管理信息系统软件体系结构,作为划分和联结系统部件的原则和方法。使管理信息系统的体系结构具有更加丰富的语意,缩短了问题领域和求解软件系统之间的距离,方便和简化了管理信息系统软件体系结构的设计,在开发实践中证明,这种设计模式可以有效地保证管理信息系统的开放性、扩展性和不断发展的增殖性。     

选煤厂管理信息系统的设计探讨

分析了选煤厂管理信息系统的需求及其设计思路,介绍了各子系统的功能和设计代码应注意的事项,并展示了各子系统的人机界面,最后总结了选煤厂管理信息系统设计的发展趋势。     

基于数据挖掘的高校管理信息系统设计与实现

高校事务信息的数据规模较大,更新速度较快,复杂度较高,需要设计有效的高校管理信息系统,提高信息管理能力。传统的高校管理信息系统设计采用嵌入式Visual Basic的信息管理系统构架方法,系统的信息再植入能力和多线程处理性能不好,提出一种基于多元特征数据挖掘和嵌入式Linux内核的高校管理信息系统设计方法。首先在嵌入式Linux的核单元中进行高校管理信息系统总体设计和文件配置,进行系统的功能模块分析和技术指标描述。设计基于相空间重构和关联特征提取的数据挖掘算法,进行高校管理信息的有用特征挖掘和提取。以数据挖掘结果进行程序加载和引导,进行高校管理信息系统的软件开发和设计,主要包括程序加载模块、数据存储模块、交叉编译模块以及网络通信模块的设计,实现基于数据挖掘的高校管理信息系统的改进设计。实验结果表明,采用该系统进行高校管理信息的挖掘和存取调度,具有较好的可靠性和人机交互性,系统的吞吐性能和执行时间开销等指标具有优越性。     

兵团设计院工程勘察设计项目MIS开发研究

为了开发具有自主知识产权并适用于新疆兵团设计院工程勘察设计项目管理的计算机管理信息系统,研究了基于开发工具软件Delphi7.0、Oracle9i、Power Designer、Cell开发新疆兵团设计院工程勘察设计项目计算机管理信息系统的方法.设计了兵团设计院工程勘察设计项目管理信息系统总体框架和数据库,优化了数据库的安全性设计和完整性控制,阐述了开发工程勘察设计项目管理信息系统软件所需要注意的问题和步骤,可为同类软件的开发提供实例参考.     

跳水运动员运动训练管理信息系统的设计与实现

论文根据跳水运动员训练的实际需要,结合网络、数据库、计算机、多媒体、图像处理等技术,提出了一个基于B／S模式的跳水运动员运动训练管理信息系统,并提供了一个训练信息处理平台。在基于Browse／Server结构的跳水运动员运动训练信息管理系统的设计与实现过程中,较为详细地分析了系统功能结构,功能子系统组成,系统信息来源、结构及流程,同时还阐述了系统功能结构、网络结构、连接方式和系统软件功能的设计,介绍了在该交互式Web系统设计中使用的Web—数据库以及ASP动态主页技术,并结合实例对有关设计工作进行了说明。     

企业综合物业管理信息系统的设计与开发

综合管理信息系统在企业管理中起着非常重要的作用,本文通过一个用于房地产公司的综合物业管理信息系统的实例阐述了设计开发综合信息系统的通用方法。     

A framework for designing the enterprise-wide e-commerce portal for evolving organizations

The number of organizations offering e-commerce solutions is growing exponentially each year. Without a doubt, e-commerce will no longer be a choice for organizations rather it will be a competitive necessity to ensure business prosperity. Integral to the success of e-commerce is having good e-commerce software that can enable organizations to offer online products and services as well as integrate their business processes and supply chains within and with their collaborators or partners in a perfect, seamless manner. One of the main obstacles for adoption of e-commerce faced by many organizations; however, has been the lack of such proper integrated e-commerce software. There have been few ready-made software solutions offered by vendors, which can be customized for organizations’ business models and processes, and these solutions are based on “piece meal” approaches and thus lack much of the enterprise capabilities organizations need to adopt. In this paper, we suggest a framework for developing an enterprise-wide integrated e-commerce portal for evolving organizations. Such a framework will help any organization to design a distributed, extensible, cross-platform, collaborative and integrated e-commerce portal. Sushil K. Sharma is currently an Associate Professor in the Department of Information Systems and Operations Management at Ball State University, Muncie, Indiana. Prior to joining the faculty at Ball State, Dr. Sharma held the Associate Professor position at the Indian Institute of Management in Lucknow (India) and Visiting Research Associate Professor at the Department of Management Science at the University of Waterloo, Canada. He is of two text books (Programming in C, and Understanding Unix), and Co-editor of four edited books. Dr. Sharma has published more than 100 refereed research papers in many peer-reviewed national and international journals and conference proceedings. His contributions have appeared in journals such as; International Journal of Information Management, International Journal of Healthcare Technology and Management (IJHTM), Electronic Government Journal, Journal of Electronic Commerce in Organizations (JECO), Journal of Global Information Technology Management (JGITM), The Journal of Computer Information Systems (CIS), Journal of Logistics Information Management (JLIM), and International Journal of Management. He currently serves as an Associate Editor for International Journal of Cases on Electronic Commerce (IJCEC) and is on Editorial board for the International Journal of Electronic Finance (IJEF) and the Journal of Electronic Commerce in Organizations (JECO). In the past, he has also been a guest editor for special issue of Global Journal of Flexible Systems Management and Journal of Global Information Technology Management (JGITM). Dr. Sharma’s primary teaching and research interests are in e-commerce, computer and network security, ERP Systems, database management systems, and knowledge management. Jatinder (Jeet) N. D. Gupta is currently Eminent Scholar of Management of Technology, Professor of Management Information Systems, Industrial and Systems Engineering and Engineering Management at the University of Alabama in Huntsville, Huntsville, Alabama. Most recently, he was Professor of Management, Information and Communication Sciences, and Industry and Technology at Ball State University, Muncie, Indiana. He holds a PhD in Industrial Engineering (with specialization in Production Management and Information Systems) from Texas Tech University. Co-author of a textbook in Operations Research, Dr. Gupta serves on the editorial boards of several national and international journals. Recipient of the Outstanding Faculty and Outstanding Researcher awards from Ball State University, he has published numerous papers in such journals as Journal of Management Information Systems, International Journal of Information Management, Operations Research, INFORMS Journal of Computing, Annals of Operations Research, and Mathematics of Operations Research. More recently, he served as a co-editor of several special issues including the Neural Networks in Business of Computers and Operations Research and books that included Decision Making Support Systems: Achievements and Challenges for the New Decade and Creating Knowledge-based Healthcare Organizations published by Idea Group Publishing. He is also the coeditor of the book: Managing E-Business published by Heidelberg Press, Heidelberg, Australia. His current research interests include e-Commerce, Supply Chain Management, Information and Decision Technologies, Scheduling, Planning and Control, Organizational Learning and Effectiveness, Systems Education, Knowledge Management, Information Security, and Enterprise Integration. Dr. Gupta has held elected and appointed positions in several academic and professional societies including the Association for Information Systems, Production and Operations Management Society (POMS), the Decision Sciences Institute (DSI), and the Information Resources Management Association (IRMA). Nilmini Wickramasinghe, PhD, MBA, GradDipMgtSt, BSc. Amus.A (piano) Amus.A(violin): Currently, Dr Wickramasinghe is an associate professor and the associate director of the Center for the Management of Medical Technologies at Stuart Graduate School of Business, Illinois Institute of Technology. Her teaching interests cover the areas of knowledge management as well as e-commerce and m-commerce, IT for competitive advantage, organizational impacts of technology and healthcare issues. In addition, Dr Wickramasinghe teaches and presents regularly in many universities in Europe and Australiasia. She is currently carrying out research and is well published having written numerous book chapters, refereed journal articles and some books in the areas of management of technology, in the field of healthcare as well as focusing on IS issues especially as they relate to knowledge work and e-business. Dr Wickramasinghe is honored to be able to represent the United States of America for the Health Care Technology Management (HCTM) Association (URL http://www.hctm.net/events/2005/conference_2005.html).     

The digital transformation of management consulting companies: a review

Information Systems and e-Business Management - Management consulting (MC), as a knowledge-based industry, is regarded as fertile ground for digital transformation (DT). However, the changes that...     

Splitting methods for decision tree induction: An exploration of the relative performance of two entropy-based families

Decision tree (DT) induction is among the more popular of the data mining techniques. An important component of DT induction algorithms is the splitting method, with the most commonly used method being based on the Conditional Entropy (CE) family. However, it is well known that there is no single splitting method that will give the best performance for all problem instances. In this paper we explore the relative performance of the Conditional Entropy family and another family that is based on the Class-Attribute Mutual Information (CAMI) measure. Our results suggest that while some datasets are insensitive to the choice of splitting methods, other datasets are very sensitive to the choice of splitting methods. For example, some of the CAMI family methods may be more appropriate than the popular Gain Ratio (GR) method for datasets which have nominal predictor attributes, and are competitive with the GR method for those datasets where all predictor attributes are numeric. Given that it is never known beforehand which splitting method will lead to the best DT for a given dataset, and given the relatively good performance of the CAMI methods, it seems appropriate to suggest that splitting methods from the CAMI family should be included in data mining toolsets. Kweku-Mauta Osei-Bryson is Professor of Information Systems at Virginia Commonwealth University, where he also served as the Coordinator of the Ph.D. program in Information Systems during 2001–2003. Previously he was Professor of Information Systems and Decision Analysis in the School of Business at Howard University, Washington, DC, U.S.A. He has also worked as an Information Systems practitioner in both industry and government. He holds a Ph.D. in Applied Mathematics (Management Science & Information Systems) from the University of Maryland at College Park, a M.S. in Systems Engineering from Howard University, and a B.Sc. in Natural Sciences from the University of the West Indies at Mona. He currently does research in various areas including: Data Mining, Expert Systems, Decision Support Systems, Group Support Systems, Information Systems Outsourcing, Multi-Criteria Decision Analysis. His papers have been published in various journals including: Information & Management, Information Systems Journal, Information Systems Frontiers, Business Process Management Journal, International Journal of Intelligent Systems, IEEE Transactions on Knowledge & Data Engineering, Data & Knowledge Engineering, Information & Software Technology, Decision Support Systems, Information Processing and Management, Computers & Operations Research, European Journal of Operational Research, Journal of the Operational Research Society, Journal of the Association for Information Systems, Journal of Multi-Criteria Decision Analysis, Applications of Management Science. Currently he serves an Associate Editor of the INFORMS Journal on Computing, and is a member of the Editorial Board of the Computers & Operations Research journal. Kendall E. Giles received the BS degree in Electrical Engineering from Virginia Tech in 1991, the MS degree in Electrical Engineering from Purdue University in 1993, the MS degree in Information Systems from Virginia Commonwealth University in 2002, and the MS degree in Computer Science from Johns Hopkins University in 2004. Currently he is a PhD student (ABD) in Computer Science at Johns Hopkins, and is a Research Assistant in the Applied Mathematics and Statistics department. He has over 15 years of work experience in industry, government, and academic institutions. His research interests can be partially summarized by the following keywords: network security, mathematical modeling, pattern classification, and high dimensional data analysis.     

Analysis of book sales prediction at Amazon marketplace in India: a machine learning approach

Information Systems and e-Business Management - Prediction of customer demand is an important part of Supply Chain Management, as it helps to avoid over or under production and reduces delivery...     

Back to the future: from knowledge management to the management of information and data

This paper argues for a return to fundamentals and for a balanced assessment of the contribution that Information Technology can make as we enter the new millennium. It argues that the field of Information Systems should no longer be distracted from its natural locus of concern and competence, or claim more than it can actually achieve. More specifically, and as a case in point, we eschew IT-enabled Knowledge Management, both in theory and in practice. We view Knowledge Management as the most recent in a long line of fads and fashions embraced by the Information Systems community that have little to offer. Rather, we argue for a refocusing of our attention back on the management ofdata, since IT processes data-notinformation and certainly notknowledge. In so doing, we develop a model that provides a tentative means of distinguishing between the terms. This model also forms the basis for on-going empirical research designed to test the efficacy of our argument in a number of case companies currently implementing ERP and Knowledge Management Systems.     

Special issue on digital transformation: challenges and opportunities

Information Systems and e-Business Management -     

Special issue on digital inclusion

Information Systems and e-Business Management -     

Correction to: Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies

Information Systems and e-Business Management -