Editorial Statement
Decision Analysis is a peer-reviewed international journal published by INFORMS dedicated to advancing the theory, application, and teaching of all aspects of decision analysis. The primary focus of the journal is to develop and study operational decision-making methods, drawing on all aspects of decision theory, decision analysis, and behavioral decision theory with the ultimate objective of providing practical guidance for decision makers.
As such, the journal aims to bridge the theory and practice of decision analysis, facilitating communication and the exchange of knowledge among decision analysts in academia, business, medicine, industry, and government. Articles will contribute to these goals in many ways, using a wide variety of methods and approaches. Appropriate topics include:
- the discussion of new or existing procedures, processes, or algorithms for implementing decision analysis,
- cognitive, psychological, organizational, economic, policy, or social issues in applying decision analysis,
- innovative uses of information technology to perform decision analysis,
- issues in applying decision analysis to real-world situations,
- and other topics that further the theory and practice of decision analysis.
Articles should generally remain faithful to the intellectual foundations of decision theory and decision analysis. The journal welcomes original contributions that challenge the field, for example by showing how concepts, ideas, and methods from other fields (such as game theory, experimental economics, neuroeconomics, behavioral finance, consumer behavior, or geographical information systems) can improve the theory or practice of decision analysis. The journal also publishes articles that review and summarize important topics or advances of interest to decision analysts or that provide original historical, scholarly, or practical perspectives on the field. In addition, the journal encourages articles that support the teaching of best practices, such as state-of-the-art applications, case studies, and tutorial articles on decision analysis methods.
Audience
The Decision Analysis audience includes anyone interested in practical aspects of decision analysis and decision theory. Because decision analysis and decision theory are highly interdisciplinary, our audience in the research community includes specialists in decision theory, psychology, economics, statistics, forecasting, artificial intelligence, decision support systems, operations research, and management science. Our audience also includes practitioners of decision analysis who work as consultants or as in-house experts within organizations and those who teach courses in decision analysis or decision making in general.
