Published March 1989
by Future Technology Surveys .
Written in English
|The Physical Object|
Tables and Figures p. ix Preface p. xi Acknowledgments p. xv 1 Supporting Business Decision Making p. 1 Introduction p. 1 A Brief History of Decision Support Systems p. 2 A Conceptual Perspective p. 5 Decision Support vs. Transaction Processing Systems p. 8 Categorizing DSS Applications and Products p. 9 An Expanded Decision Support System Framework p. 12 Building Decision Support Systems 3/5(1). The book reviews papers that tackle issues about decision support systems (DSS). Comprised of 17 chapters, the book organizes the chapters according to the topic of discussion, including framework, resource discipline, application experience, and issues for the future in DSS. The opening chapter is an introduction to the main topic of the Edition: 1. Abstract. Knowledge-Based Decision Support Systems (KBDSS) have evolved greatly over the last few decades. The key technologies underpinning the development of KBDSS can be classified into two categories: technologies for knowledge modelling and representation, and the technologies for reasoning and by: 5. This compact and easy-to-read book describes in detail the basic principles of Decision Support Systems (DSS). The book also gives a comprehensive account of the various models used in decision making process, the many facets of DSS, and explains how they are implemented. Further, it discusses the significance of business reengineering, the role of client-server technology, Internet Reviews: 1.
DECISION SUPPORT SYSTEMS AND MARKETING RESEARCH. Survey research was often too expensive for small businesses to hire a marketing research firm. Even without using a research company, hiring and training interviewers was expensive and many entrepreneurs simply didn’t have the knowledge of how to conduct a survey. In offering its. Written by an international array of DSS luminaries, its more than 70 chapters approach decision support systems from a wide variety of perspectives ranging from classic foundations to cutting-edge thought, informative to provocative, theoretical to practical, historical to futuristic, human to technological, and operational to strategic. CiteScore: ℹ CiteScore: CiteScore measures the average citations received per peer-reviewed document published in this title. CiteScore values are based on citation counts in a range of four years (e.g. ) to peer-reviewed documents (articles, reviews, conference papers, data papers and book chapters) published in the same four calendar years, divided by the number of. To extend two previous surveys of specific decision support system (DSS) applications over the period (January December ), we have conducted a follow-up survey covering the period between.
The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs). Decision support systems (DSS) have evolved over the past four decades from theoretical concepts into real world computerized applications. DSS architecture contains three key components: knowledge base, computerized model, and user interface. DSS simulate cognitive decision-making functions of humans based on artificial intelligence methodologies (including expert systems. Decision Support Systems. Supports open access. View aims and scope Submit your article Guide for authors. Market Transformation to an IT-Enabled Services-Oriented Economy. Edited by Robert J. Kauffman, Ma Dan, Byungjoon Yoo. View Decision Support Systems Research Papers on for free.