Decision Analysis is INFORMS newest peer-reviewed journal dedicated to advancing the theory, application, and teaching of all aspects of decision analysis.The primary focus of this journal is to develop and study operational decision-making methods. The journal bridges the gap between theory and practice thereby facilitating active communication and exchange of knowledge among decision analysts in academia, business, industry, and government.Topics covered in Decision Analysis include the decision-relevant aspects of: Ambiguity Applications of Decision Analysis Auctions Bayesian Simulation Behavioral Economics and Finance Behavioral Decision Theory Consumer Analysis Creative Problem Structuring Decision Analysis and Theory Expected Utility Theory Experimental Economics Fairness Game Theory Group Decisions Intertemporal Decisions Multiattribute Decisions Neuroeconomics Operational Decision Making Pooling Judgments Probability Elicitation Probability Scoring Rules Risk Analysis Teaching Decision Analysis Value-Focused Decisions Value of InformationThe Decision Analysis audience includes a broad community of those interested in the practical aspects of decision theory and decision analysis which include specialists, practitioners, consultants, and in-house experts within organizations, as well as instructors of decision analysis or decision making courses.
Decision Sciences, a premier journal of the Decision Sciences Institute, publishes scholarly research about decision making within the boundaries of an organization, as well as decisions involving inter-firm coordination. The journal promotes research advancing decision making at the interfaces of business functions and organizational boundaries. The journal also seeks articles extending established lines of work assuming the results of the research have the potential to substantially impact either decision making theory or industry practice. Ground-breaking research articles that enhance managerial understanding of decision making processes and stimulate further research in multi-disciplinary domains are particularly encouraged. Decision Sciences recognizes that a delicate balance must be maintained between publishing traditional scholarly research and promoting novel, seminal research in new frontiers.
Decision Support Systems welcomes contributions on the concepts and operational basis for DSSs, techniques for implementing and evaluating DSSs, DSS experiences, and related studies. In treating DSS topics, manuscripts may delve into, draw-on, or expand such diverse areas as artificial intelligence, cognitive science, computer supported cooperative work, data base management, decision theory, economics, linguistics, management science, mathematical modeling, operations management psychology, user interface management systems, and others. The common thread of articles published in the journal will be their relevance to theoretical, technical DSS issues.Authors planning to submit papers to the journal should ensure that their work is relevant to the topics normally considered to be part of the field of decision support systems.The Journal's research papers tend to fall into the following six topic departments:1. DSS Foundations e.g. DSS principles, concepts, and theories; frameworks, formal languages, and methods for DSS research; tutorials about the nature of DSS; assessments of the DSS field.2. DSS Development-Functionality e.g. methods, tools, and techniques for developing the underlying functional aspects of a DSS; solver/model management; data management in DSSs; rule management and AI in DSSs; coordinating a DSS's functionality within its user interface.3. DSS Development-Interfaces e.g. methods, tools, and techniques for developing the overt user interface of a DSS; managing linguistic, presentation, and user knowledge in a DSS; DSS help facilities; coordinating a DSS's interface events with its functionality events.4. DSS Impacts and Evaluation e.g. DSS economics; DSS measurement; DSS impacts on individual users, multiparticipant users, organizations, and societies; evaluating/justifying DSSs.5. DSS Reference Studies e.g. reference discipline tutorials for DSS researchers; emerging technologies relevant to DSS characteristics or DSS development; related studies on such topics as communication support systems, computer supported cooperative work, negotiation support systems, research support systems, task support systems.6. DSS Experiences, Management, and Education e.g. experiences in developing or operating DSSs; systems solutions to specific decision support needs; approaches to managing DSSs; DSS instruction/training approaches.
Decisions in Economics and Finance: A Journal of Applied Mathematics is the official publication of the Association for Mathematics Applied to Social and Economic Sciences (AMASES). It provides a specialised forum for the publication of research in all areas of mathematics as applied to economics, finance, insurance, management and social sciences. Primary emphasis is placed on original research concerning topics in mathematics or computational techniques which are explicitly motivated by or contribute to the analysis of economic or financial problems.
The deep sea is interpreted to be the ocean beyond the continental shelf. Papers dealing exclusively with areas inshore of the shelf break are in general more appropriate to our companion journal
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Defence Studies is the official journal of the Joint Services Command and Staff College. It is a highly accessible journal aimed at Staff Colleges and military personnel around the world and at academics interested in all aspects of defence. Each issue comprises two or three articles on historical and contemporary aspects of defence together with a large number of shorter viewpoints, opinion pieces, reports and a correspondence section. It is intended to produce special themed editions of the journal from time to time. DisclaimerTaylor & Francis makes every effort to ensure the accuracy of all the information (the 8220;Content8221;) contained in its publications. However, Taylor & Francis and its agents and licensors make no representations or warranties whatsoever as to the accuracy, completeness or suitability for any purpose of the Content and disclaim all such representations and warranties whether express or implied to the maximum extent permitted by law. Any views expressed in this publication are the views of the authors and are not the views of Taylor & Francis.
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