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The purpose of this book is to question the relationships involved in decision making and the systems designed to support it: decision support systems (DSS). The focus is on how these systems are engineered; to stop and think about the questions to be asked throughout the engineering process and, in particular, about the impact designers’ choices have on these systems.
First published in 1982. Routledge is an imprint of Taylor & Francis, an informa company.
Quelle que soit l’importance de la décision, l’hésitation peut paralyser l’action. S’intéressant à la décision pour l’action, le décideur est alors, soit confronté aux théoriciens qui ne se mettent pas à sa portée, soit renvoyé à des études de cas trop souvent anecdotiques. Ce livre établit un lien entre la décision, l’action et les théories récentes de l’intelligence artificielle, de la neurobiologie et de la psychologie. Quels sont les principaux comportements psychologiques dont il faut se méfier ? Quel est le rôle de l’intuition ou de l’émotion ? Comment éviter la manipulation ? Quel est le bon usage de la planification ? Comment rester rationnel sans être un expert des probabilités ? Comment passer de la décision à l’action ? Illustré par de nombreux exemples, cet ouvrage répond, dans un langage simple et didactique, aux interrogations des managers.
In Decision Modelling And Information Systems: The Information Value Chain the authors explain the interrelationships between the decision support, decision modelling, and information systems. The first two parts of the book focus on the interdisciplinary decision support framework, in which mathematical programming (optimization) is taken as the inference engine. The role of business analytics and its relationship with recent developments in organisational theory, decision modelling, information systems and information technology are considered in depth. Part three of the book includes a carefully chosen selection of invited contributions from internationally-known researchers. These contributions are thought-provoking and cover key decision modelling and information systems issues. The final part of the book covers contemporary developments in the related area of business intelligence considered within an organizational context. The topics cover computing delivered across the web, management decision-making, and socio-economic challenges that lie ahead. It is now well accepted that globalisation and the impact of digital economy are profound; and the role of e-business and the delivery of decision models (business analytics) across the net lead to a challenging business environment. In this dynamic setting, decision support is one of the few interdisciplinary frameworks that can be rapidly adopted and deployed to so that businesses can survive and prosper by meeting these new challenges.
This book constitutes the refereed proceedings of the Third International Meeting on Innovation for Systems Information and Decision, INSID 2021, which was held during December 1-3, 2021. The conference was initially planned to take place in Recife, Brazil, but changed to a virtual meeting due to the COVID-19 pandemic. The 9 full papers presented in this volume were carefully reviewed and selected from a total of 76 submissions. They reflect methodological improvements and advances in multi-criteria decision-making/multi-criteria decision-aid (MCDM/MCDA) oriented toward real-world applications, which contribute to the understanding of relevant developments of current research on and future trends of innovation for systems information and decision.
This book will be bought by researchers and graduates students in Artificial Intelligence and management as well as practising managers and consultants interested in the application of IT and information systems in real business environment.
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.
The information age has enabled unprecedented levels of data to be collected and stored. At the same time, society and organizations have become increasingly complex. Consequently, decisions in many facets have become increasingly complex but have the potential to be better informed. Technologies for Supporting Reasoning Communities and Collaborative Decision Making: Cooperative Approaches includes chapters from diverse fields of enquiry including decision science, political science, argumentation, knowledge management, cognitive psychology and business intelligence. Each chapter illustrates a perspective on group reasoning that ultimately aims to lead to a greater understanding of reasoning communities and inform technological developments.
This book provides an overview of organizational decision making and the use of information in the process. In addition, it draws on original empirical work to establish general principles for design of information systems, which are tuned to the way managers actually behave and make decisions at the highest level of the organization. The book also gives insights into the ways higher education institutions operate and deal with complex problems that are messy and have broad political ramifications. It offers a solid basis for the necessary shared understanding between managers and information providers that will enable the information resources of an organization to be effectively harnessed to support decision making activities. It demonstrates the way decision making occurs in organizations and shows how information contributes to the these with a high-level decision group and, on the basis of the empirical tests, proposed a new theory of complex decision making and information in organizational settings. For readers interested in theoretical aspects of complex decision making, or in research in decision making and information, the book builds on the two theories of decision making with the highest profiles in the organizational literature. It also shows new ways of testing those theories in the real world of organizations.process. A key feature of this volume is its contribution to the development of a theory of high-level decision making in organizations that takes into account the function of information in the process. This is accomplished through an account of a research project that formulated two broadly based theories of decision making and information use, tested