Decision Analysis
Focuses on advancing the theory, application, and teaching of all aspects of decision analysis.
Focuses on advancing the theory, application, and teaching of all aspects of decision analysis.
Covers the latest theory, research, and intellectual development for information systems in organizations, institutions, the economy, and society.
Dedicated to improving the practical application of OR/MS to decisions and policies in today's organizations and industries.
Contains topical and informative papers on the broad intersection of O.R. and computing.
Focuses on important data science research in sociotechnical aspects of business, engineering, management, and industry.
Contributes papers on optimization with particular emphasis on data-driven optimization, optimization methods in machine learning, and exciting real-world applications of optimization.
INFORMS open access journal with the mission of advancing O.R., management science, and analytics education at all levels worldwide.
Scientifically addresses the problems, interests, and concerns of managers while promoting the science of managing private and public sector enterprises.
Presents state-of-the-art research of interest to both academic and industry researchers and practitioners working at the interface of research and implementation.
Addresses current questions in marketing and introduces cutting-edge research as well as new insights and approaches to current marketing-related problems.
Publishes excellent foundational studies with significant mathematical content and relevance to OR/MS.
Presents high-quality papers that represent the true breadth of the methodologies and applications that define O.R.
Covers groundbreaking research about organizations, including their processes, structures, technologies, identities, capabilities, forms, and performance.
Covers state-of-the-art research, education, practice, and breakthroughs in the service science that focus on people's satisfaction and success.
INFORMS open access journal delivering high-quality papers that substantively contribute to the modeling, analysis, and control of stochastic systems.
Disseminates outstanding research directed to the challenges of strategic management in both business and nonbusiness organizations.
Features comprehensive timely articles and surveys that cover all modes of transportation, present and prospective, and researches planning and design issues.
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INFORMS Analytics Collection is the preeminent online collection of industry-focused innovations and applications in advanced analytics and O.R. Curated by INFORMS thought leaders, these collections explore relevant analytical insights, issues, and trends through a multimedia experience. INFORMS Analytics Collection articles do not require a subscription to access most content.