Decision Support Systems Issues And Challenges

Decision Support Systems: Issues and Challenges covers the proceedings of the International Institute for Applied Systems Analysis (IIASA) International Task Force Meeting. 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 book. Chapter 2 discusses frameworks for research on decision support systems, and Chapter 3 covers the decision support systems. The fourth chapter deals with organizational science contributions to the design of decision support systems, while the fifth chapter discusses using data bases for decision support. Chapter 6 tackles the overview of database technology in decision support systems, and Chapter 7 talks about doing and speaking in the office. The eighth chapter discusses a look back at an office of the future, while the ninth chapter covers the implications for research of installing a decision support system. Chapter 10 tackles the problems of design and implementation of computer-based decision support systems. Chapter 11 discusses an interactive modeling system for analysis of alternative decisions; Chapter 12 covers the structure of decision support systems. Chapters 13 to 15 review the group discussion during the conference about the issues for the future in DSS. This book will be of great interest to leaders, since it discusses the integration of technology in the interaction within an organization.

Annotation The book presents state-of-the-art knowledge about decision-making support systems (DMSS). Its main goals are to provide a compendium of quality chapters on decision-making support systems that help diffuse scarce knowledge about effective methods and strategies for successfully designing, developing, implementing, and evaluating decision-making support systems, and to create an awareness among readers about the relevance of decision-making support systems in the current complex and dynamic management environment.

Decision Support Systems: Frequently Asked Questions is the authoritative reference guide to computerized Decision Support Systems. Author Dan Power has spent almost 30 years building, studying and teaching others about computerized Decision Support Systems. Dr. Power is first and foremost a Decision Support evangelist and generalist. From his vantage point as editor of DSSResources.COM, he tracks a broad range of contemporary DSS topics. In this DSS FAQ, Dr. Power answers 83 frequently asked questions about computerized decision support systems. The FAQ covers a broad range of contemporary topics and the questions are organized into 8 chapters. DSS FAQ helps readers understand questions like: What is a DSS? What kind of DSS does Mr. X need? Does data modeling differ for a Data-Driven DSS? Is a Data Warehouse a DSS? Is tax preparation software an example of a DSS? What do I need to know about Data Warehousing/OLAP? What is a cost estimation DSS? What is a Spreadsheet-based DSS? Decision Support Systems: Frequently Asked Questions is a useful resource for IT specialists, students, professors and managers. It organizes important Ask Dan! questions (with answers) published in DSS News from 2000 through 2004.

Three case studies of decision support systems; Connoisseur foods: the introduction of modeling and data retrieval capabilities; Great eastern bank: a portfolio management system; Gotaas-larsen shipping corporation: a corporate planning system; Choices for the user and implementer; A taxonomy of decision support systems; Using decision support systems to indrease the effectiveness of individuals; Patterns of system usage; Toward successful implementation; Difficulties in system usage; Implementation patterns; Implementation risk factors and implentation strategies; Trends for the future; Additional case studies; Equitable life: a computer-assisted underwriting system; Interactive market system: a media decision support system; The great northern bank: a system for budgeting, planning and control; The cost of living council: decision support in a regulatory setting; AAIMS: an analytic information management system.

This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.

In recent years, much work has been done in formulating and clarifying the concept of sustainable development and related theoretical and research issues. Now, the challenge has shifted to designing and stimulating processes of effective planning and decision-making, at all levels of human activity, in such a way as to achieve local and global sustainable development. Information technology can help a great deal in achieving sustainable development by providing well-designed and useful tools for decision makers. One such tool is the decision support system, or DSS. This book explores the area of DSS in the context of sustainable development. As DSS is a very new technique, especially in the developing world, this book will serve as a reference text, primarily for managers, government officials, and information professionals in developing countries. It covers the concept of sustainable development, defines DSS and how it can be used in the planning and management of sustainable development, and examines the state of the art in DSS use. Other interested readers will include students, teachers, and analysts in information sciences; DSS designers, developers, and implementors; and international development agencies.

Decision support systems have experienced a marked increase in attention and importance over the past 25 years. The aim of this book is to survey the decision support system (DSS) field – covering both developed territory and emergent frontiers. It will give the reader a clear understanding of fundamental DSS concepts, methods, technologies, trends, and issues. It will serve as a basic reference work for DSS research, practice, and instruction. To achieve these goals, the book has been designed according to a ten-part structure, divided in two volumes with chapters authored by well-known, well-versed scholars and practitioners from the DSS community.