Decision Support Systems Experiences And Expectations
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Decision Support Systems: Experiences and Expectations
This proceedings volume aims to consolidate current knowledge of research into the many fields of DSS, and to identify key issues which should be incorporated into the future research agenda. The main themes of this volume include: DSS for distributed decision processes, Embedding knowledge in DSS, and DSS and organizational change.
Research and Practice in Multiple Criteria Decision Making
Author: Yacov Y. Haimes
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
During the past two decades, the consideration of mUltiple objectives in modeling and decision making has grown by leaps and bounds. The nineties in particular have seen the emphasis shift from the dominance of single-objective modeling and optimization toward an emphasis on multiple objectives. The proceedings of this Conference epitomize these evolutionary changes and contribute to the important role that the tield of multiple criteria decision making (MCDM) now plays in planning, design, operational, management, and policy decisions. Of special interest are the contributions of MCDM to manufacturing engineering. For example, it has recently been recognized that optimal, single-objective solutions have often been pursued at the expense of the much broader applicability of designs and solutions that satisfy multiple objectives. In particular, the theme (MCDM and Its Worldwide Role in Risk-Based Decision Making) of the XIVth International Conference on Multiple Criteria Decision Making (Charlottesville, Virginia, USA, June 8-12, 1998) represents the growing importance of risk-cost-benefit analysis in decision making and in engineering design and manufacturing. In such systems, minimizing the of rare and extreme events emerges as an essential objective that risk complements the minimization of the traditional expected value of risk, along with the objectives attached to cost and performance. These proceedings include forty-five papers that were presented at the Conference. A variety of techniques have been proposed for solving multiple criteria decision-making problems. The emphasis and style of the different techniques largely reflect the fields of expertise of their developers.
Bridging the Socio-technical Gap in Decision Support Systems
Author: Frédéric Adam
language: en
Publisher: SAGE Publications Limited
Release Date: 2010-06-15
The socio-technical gap is the great divide between social activities such as coordination which researchers and practitioners aim to support and those that are actually supported by technology. As the social interaction takes place through technology, it is changed and mediated by the technology. This gap between the two dimensions is being challenged by new and innovative approaches such as cognitive ergonomics and Web 2.0/3.0. Research in Decision Making (DM) theory and Decision Support Systems (DSS) shows that this gap is due in part to technical limitations and in part to the complexity of the contexts where decision support must be provided. Thus, DSS researchers face important questions concerned with the encapsulation of complex social aspects of managerial decision making, as well as with the representation of key human cognitive mechanisms, such as intuition and insight, within computational systems. This book presents the latest innovations and advances in decision support theory and practice with a special focus on bridging the socio-technical gap. These achievements will be of interest to all those involved in decision making activities and research. The book covers a wide range of topics including: Understanding DM, Design of DSS, Web 2.0 Systems in Decision Support, Business Intelligence and Data Warehousing, Applications of Multi-Criteria Decision Analysis, Intelligent DM, Context in DM, Knowledge Management, ERP Systems, Decision Support for Policy Making, Decision Making in Emergency Scenarios, Decision Support in Commerce, and Decision Support for Production Planning.