Supporting Real Time Decision-Making: The Role of Context in Decision Support on the Move
About this ebook
This book will explore issues associated with the design and use of real-time DSS in ubiquitous computing environments. It will cover theoretical and applied research regarding systems which support real-time decisions "on the move" and will consider the current state, challenges in design, theory, practice, methods and techniques, new developments, and applications of computing technologies to support extracting the context of real-time decision processes and decision-making by individuals, groups and organizations in time-critical situations. Specific case studies will be presented, but the book will focus on the role of context for time-critical decision support. In particular, it will address the question of how extracting, interpreting, predicting and managing context-based information can assist in real time decision support. The challenges of context modeling and management as a component to knowledge management for decision making and support will be also addressed.
The book will present chapters which describe concrete and constructive research results on the above topics as well as more broad theoretical entries about the role of context in decision-making and support, providing a comprehensive review of the available approaches to mobile real time decision support. The topics covered in the book will include theoretical aspects and application case studies of:
- Context-based decision-making methods and tools;
- Contextualizing information for time-critical decision making;
- Processes and procedures of extracting contextual information for decision support;
- Identifying context in the decision making/support process;
- Managing the contextualization process of decision making/support;
- Dynamic filtering of information for real-time decision making and support;
- Case studies of prototyped and commercially available real-time DSS systems.
This AoIS volume will appeal immediately to researchers and academics in decision sciences, in information system design, and in context research.
About the author
Frada Burstein completed her PhD at the Institute of Cybernetics, Georgian Academy of Science (the Branch of USSR Academy of Sciences) in 1981. She has an extensive research record in the areas of decision theory and decision support systems. Since 1992 she has been working in the Department of Information Systems of the Faculty of Information Technology at Monash University, and is currently an Associate Professor, Associate Dean for Research Training, Founder and Director of the Knowledge Management Research Program and a virtual laboratory at the Caulfield School of IT.
Dr. Burstein was co-editor of Handbook of Decision Support Systems (with Clyde Holsapple) published by Springer in 2008. She has been Program Co-Chair for the Australian Conference on Knowledge Management and Intelligent Decision Support, Steering Committee member and Doctoral Colloquium faculty for the IFIP TC8/WG8.3 Working Conference International Conference on Collaborative Decision Making, Executive Committee Member of the Australian Council of Professors & Heads of Information Systems, Chair for the Association of Information Systems Special Interest Group in DSS, and Secretary for the IFIP WG 8.3 Decision Support Systems.
Dr. Burstein’s many editorial board assignments include serving as Guest Co-Editor for the special issue of Decision Support Systems "Decision Support in an Uncertain and Complex World" (with GeorgeWidmeyer), Guest Co-Editor for the special issues of the journal Information Systems and E-Business Management (with Clyde Holsapple), Area Editor for Decision Support Systems, Associate Editor for Journal of Decision Systems, Associate Editor for International Journal of Knowledge Management, and editorial board member for Journal of Knowledge Management Research and Practice and Journal of Information and Knowledge Management. In 2003, Dr. Burstein received the Monash University Postgraduate Association Supervisor of the Year award.
Patrick Brezillon is a researcher at the National Center for Scientific Research in Paris where his work focuses on the study of intelligent assistant systems, particularly the modelling of context and the relationship between collaborative decision making and context. His papers have appeared in such journals as IEEE Intelligent Systems, Knowledge Engineering Review, Expert Systems with Applications, International Journal on Human-Computer Studies, and AI Magazine. Dr. Brezillon directs the SART project, which is developing a system to support subway traffic control decisions when incidents occur, and the PROTEUS program, which is developing an integrated platform for supporting e-maintenance strategy. He was co-editor of Creativity and Innovation in Decision Making and Decision Support, Volumes 1 and 2, Ludic Publishing Ltd.
List of publications: http://www-poleia.lip6.fr/~brezil/Pages2/Publications/index.html
Arkady Zaslavsky is a Chaired Professor at the Luleå University of Technology, Sweden and Associate Professor at Monash University, Australia. He received MSc in Applied Mathematics majoring in Computer Science from Tbilisi State University (Georgia, USSR) and Ph.D. in Computer Science from the Moscow Institute for Control Sciences, USSR Academy of Sciences. His research interests include mobile and pervasive computing, context-awareness, distributed and mobile agents and objects, wireless networks, distributed computing and database systems, distributed object technology and mobile commerce. His research is published in such journals as Telecommunication Systems, Mobile Networks and Applications, Journal of Organizational Computing and Electronic Commerce, Electronic Commerce Research, and ACM SIGMOD Record, IEEE Transactions on Systems, Man, Cybernetics, Pervasive and Mobile Computing. He has edited four books of conference proceedings published in LNCS series.
List of publications: http://www.ltu.se/forskning/1.16009?pureId=1161&l=en&pureFamily=dk.atira.pure.families.person.shared.model.Person&sortOrder=desc
