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The logic underlying decisions, and decision support systems, depends fundamentally on our assumptions about, and models of, the organizations in which these decisions are made. In this monograph, Dr. Fred Waelchi, a DSMC Professor of Management, suggests that current systems models of the organization are incomplete and defective, and that implicit use of these models may corrupt the decision process in our organization. Dr. Waelchli proposes a cybermetic model of the organization, derived from the work of W. Ross Ashby and Stafford Beer, that resolves the difficulties with the existing system models, and establishes a methodical foundation for Peter Drucker's major premise that the organization exists fundamentally to create useful change in society. Keywords: General systems theory.
Foundations of Decision Support Systems focuses on the frameworks, strategies, and techniques involved in decision support systems (DSS). The publication first takes a look at information processing, decision making, and decision support; frameworks for organizational information processing and decision making; and representative decision support systems. Discussions focus on classification scheme for DSS, abilities required for decision making, division of information-processing labor within an organization, and decision support. The text then elaborates on ideas in decision support, formalizations of purposive systems, and conceptual and operational constructs for building a data base knowledge system. The book takes a look at building a data base knowledge system, language systems for data base knowledge systems, and problem-processing systems for data base knowledge systems. Topics include problem processors for computationally oriented DSS, major varieties of logical data structures, and indirect associations among concepts. The manuscript also examines operationalizing modeling knowledge in terms of predicate calculus; combining the data base and formal logic approaches; and the language and knowledge systems of a DSS based on formal logic. The publication is a valuable reference for researchers interested in decision support systems.
In today's rapidly changing educational and business climate, organizational transformation has become a key area of development for many different and varied environments, both commercial and academic. This book addresses issues related to developing Decision Support Systems (DSS) which are sensitive and adaptable to different contexts and evolving technical and work environments. In addition to addressing the various cultural/social, organizational/individual, task/technology contexts of DSS, the book also anchors these discussions in a practical context, drawing on case studies to illustrate the theoretical dimensions stressed. This book includes the following issues: Frameworks for understanding the contexts and environments of decision support; Cases and issues in decision support and organizational transformation in context; An inter-disciplinary analysis of DSS, covering a wide variety of situations; and Real-world applications of DSS . It contains selected papers presented and discussed at the International Conference on Context-Sensitive Decision Support Systems, which was sponsored by the International Federation for Information Processing (IFIP) and held in Bled, Slovenia in July 1998. The book will prove invaluable to anyone working in information and decision support systems development, management, implementation and evaluation, as well as to researchers/practitioners in organizational analysis and development, management and business administration, sociology and psychology of organizations, human relations and human factors management.
This book constitutes the proceedings of the 8th International Conference on Decision Support Systems Technologies, ICDSST 2022, held during May 23-25, 2022. The EWG-DSS series of International Conference on Decision Support System Technology (ICDSST) is planned to consolidate the tradition of annual events organized by the EWG-DSS in offering a platform for European and international DSS communities, comprising the academic and industrial sectors, to present state-of-the-art DSS research and developments, to discuss current challenges that surround decision-making processes, to exchange ideas about realistic and innovative solutions, and to co-develop potential business opportunities. The main aim of this year’s conference is to investigate the role DSS and related technologies can play in mitigating the impact of pandemics and post-crisis recovery. The 15 papers presented in this volume were carefully reviewed and selected from 46 submissions. They were organized in topical sections as follows: decision support addressing modern industry; decision support addressing business and societal needs, and multiple criteria approaches.
The field of Information Systems has been shifting from an aeimmersion viewAE, which relies on the immersion of information technology (IT) as part of the business environment, to a aefusion viewAE in which IT is fused within the business environment, forming a unified fabric that integrates work and personal life, as well as personal and public information. In the context of this fusion view, decision support systems should achieve a total alignment with the context and the personal preferences of users. The advantage of such a view is an opportunity of seamless integration between enterprise environments and decision support system components. Thus, researchers and practitioners have to address the challenges of dealing with this shift in viewpoint and its consequences for decision making and decision support systems theories and applications. This book presents the latest innovations and advances in decision support systems with a special focus on the fusion view. These achievements will be of interest to all those involved and interested in decision making practice and research, as well as, more generally, in the fusion view of modern information systems.The book covers a wide range of topical themes including a fusion view of business intelligence and data warehousing, applications of multi-criteria decision analysis, intelligent models and technologies for decision making, knowledge management, decision support approaches and models for emergency management, and medical and other specific domains.
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GEODATA ANALYSIS AND DISPLAY SYSTEM; GENERALIZED MANAGEMENT INFORMATION SYSTEM.