Journals in Decision sciences
Journals in Decision sciences
Our Decision Sciences titles care essential reading for students and professionals, and cover key topics in decision support systems, and global logistics, among other areas of research and practice
Operations Research Letters
Operations Research Letters (ORL) is committed to the rapid review and fast publication of short articles on all aspects of operations research and analytics. ORL welcomes pure methodological papers and applied papers with firm methodological grounding. All articles are restricted to at most eight journal pages, with the option to relegate proofs and additional material to an online appendix. The main criteria for the papers to be published are quality, originality, relevance, and clarity. The journal's traditional strength is in methodology, including theory, modelling, algorithms, and computational studies. Please find below a full description of the areas covered by the journal.Area EditorsApproximation Algorithms for Combinatorial Optimization Problems Area Editor: Leah Epstein Associate Editors: M. Chrobak, K. Elbassioni, M. Feldman, J. Hurink, N. Olver, J. Sgall, J. Verschae The area covers all issues relevant to the development of efficient approximate solutions to computationally difficult problems. This includes worst case analysis or competitive analysis of approximation algorithms, and complexity results.Submissions can be articles consisting of theoretical work in the area, or articles combining significant theoretical contributions of mathematical flavor with computational investigations of heuristic approaches. Articles in the area of discrete optimization that do not belong to the scope of other areas may be submitted to this area as well.Computational Social Science Area Editor: Vianney Perchet Associate Editors: A. Drutsa, P. Mertikopoulos, R. Smorodinsky This area publishes papers focusing on data-driven procedures, either from a theoretical or an applied perspective, in operation research, games, economics and other social science. The scope includes: sample/computational complexity of mechanisms, learning in games/OR/social science, empirical solutions with AI algorithms (such as, but not limited to, deep learning techniques) of complex problems, etc. Continuous Optimization Area Editor: Hector Ramirez Associate Editors: M.F. Anjos, L.M. Briceno, D. Dadush, G. Eichfelder, D. Jiang, D. Orban, F. Schoen Papers in all fields of continuous optimization that are relevant to operations research are welcome. These areas include, but are not restricted to, linear programming, nonlinear programming (constrained or unconstrained, convex or nonconvex, smooth or nonsmooth, finite or infinite-dimensional... complementarity problems, variational inequalities, bilevel programming, and mathematical programs with equilibrium constraints. Financial Engineering Area Editor: Ning Cai Associate Editors: X. He, D. Mitchell Financial engineering utilizes methodologies of optimization, simulation, decision analysis and stochastic control to analyse the effectiveness and efficiency of financial markets. This area is interested in papers that innovate in terms of methods or that develop new models which guide financial practices. Examples include but are not limited to Fintech, financial networks, market microstructure, derivative pricing and hedging, credit and systemic risk, energy markets, portfolio selection. Game Theory Area Editor: Tristan Tomala Associate Editors: S. Beal, V. Ihele, D.W.K. Yeung, G. Zaccour This area publishes papers which use game theory to analyze operations research models or make theoretical contributions to the theory of games. The scope includes (but is not limited to): cooperative and non-cooperative games, dynamic games, mechanism and market design, algorithmic game theory, games on networks, games of incomplete information. Graphs & Networks Area Editor: Gianpaolo Oriolo Associate Editors: F. Bonomo, Y. Faenza, Z. Friggstad, L. Sanita The area seeks papers that apply, in original and insightful ways, discrete mathematics to advance the theory and practice of operations research, as well as those reporting theoretical or algorithmic advances for the area. Of particular, but not exclusive, interest are papers devoted to novel applications, telecommunications and transportation networks, graphs and web models and algorithms. Inventory and Supply Chain Optimization Area Editor: Sean Zhou Associate Editors: H. Abouee Mehrizi, A. Burnetas, X. Gong, Q. Li, J. Yang The area welcomes innovative papers focused on inventory control and supply management. Examples of topics include, but are not limited to, optimal sourcing, inventory and assortment selection, pricing and inventory optimization, capacity planning, multi-item/echelon systems, algorithms and bounds, near-optimal or asymptotic optimal solutions, and incentive design. Mixed Integer Optimization Area Editor: Marc Pfetsch Associate Editors: R. Fukasawa, L. Liberti, J.P. Vielma, G. Zambelli All submissions advancing the theory and practice of mixed integer (linear or nonlinear) programming like novel techniques and algorithmic approaches in convex relaxations, branch and cut, polyhedral combinatorics and theory driven heuristics are welcome. Case studies may be considered if they contribute to the general methodology. Operations Management Area Editor: Mahesh Nagarajan Associate Editors: L. Chu, Y. Ding, N. Golrezaei, T. Huh, D. Saban, C. Shi, L. Zhu The OM department aims to publish short, focused high quality research in the area of operations management, broadly the field of operations research applied to management problems. We welcome papers that use a wide variety of methodologies, both descriptive as well as prescriptive in nature including optimization, applied probability, simulation, and game theory. Scheduling Area Editor: Marc Uetz Associate Editors: B. Moseley, E. Pesch, R. Van Stee We seek original and significant contributions to the analysis and solution of sequencing and scheduling problems. This includes structural and algorithmic results, in particular optimization, approximation and online algorithms, as well as game theoretic modeling. All results are welcome as long as the relevance of a problem and significance of the contribution is made compellingly clear. Stochastic Models and Data Science Area Editor: Henry LamAssociate Editors: H. Bastani, J. Dong, K. Murthy, I. Ryzhov, Y. Zhou The area seeks papers broadly on the interplay between operations research and machine learning and statistics where stochastic variability and uncertainty play a crucial role. The area values both papers that develop or utilize stochastic analysis and computation in data science problems, including but not limited to reinforcement learning, stochastic iterative algorithms for model estimation or training, probabilistic analysis of statistical and machine learning tools, sampling and Monte Carlo methods, and also papers that integrate learning or statistical techniques into stochastic modeling to enhance prediction or decision-making for a wide variety of systems. Stochastic Networks and Queues Area Editor: Harsha HonnappaAssociate Editors: R. Roet-Green, E. Ozkan, W. Wang, Y. ZhaoThe area seeks papers that contribute to the modeling, analysis or innovative application of stochastic networks or queues. Work submitted should propose original models and develop novel analytical or computational methods more than incremental extensions. Examples of relevant application areas include but are not limited to supply chain management, manufacturing, financial engineering, healthcare, revenue management, service operations, telecommunications, sharing economy, online markets and public sector operations research. Application-oriented papers should demonstrate direct practical impact and have a strong methodological component as well.Stochastic Optimization and Machine Learning Area Editor: Angelos Georghiou Associate Editors: M. Bodur, M. Claus, E. Feinberg, P. Vayanos The Stochastic Optimization and Machine Learning area of Operations Research Letters solicits original articles that generate novel insights into problems that arise in optimization under uncertainty and in machine learning. The focus is broad and encompasses, among others, stochastic (dynamic) programming, (distributionally) robust optimization, data-driven optimization as well as the interface of machine learning with traditional areas of operations research. Successful submissions in this area are expected to make a clear and meaningful academic contribution, which may be through the study of new problems, models, solution techniques, performance analysis and convincing and reproducible numerical evaluations.- ISSN: 0167-6377
Research Policy
Policy, management and economic studies of science, technology and innovationResearch Policy (RP) articles examine empirically and theoretically the interaction between innovation, technology or research, on the one hand, and economic, social, political and organizational processes, on the other. All RP papers are expected to yield findings that have implications for policy or management.Before submitting, please read the Research Policy Guide for Authors, as well as our guidelines on Journal keywords for submission, and notes for proposing a special issue. If you would like to obtain more information about the scope of RP or the submission process, or if you have any further questions, please see the long list of FAQs at https://www.journals... and Scope: Research Policy (RP) is a multi-disciplinary journal devoted to analyzing, understanding and effectively responding to the economic, policy, management, organizational, environmental and other challenges posed by innovation, technology, R&D and science. This includes a number of related activities concerned with the creation of knowledge (through research), the diffusion and acquisition of knowledge (e.g. through organizational learning), and its exploitation in the form of new or improved products, processes or services. RP is generally acknowledged to be the leading journal in the field of innovation studies, with its academic status and influence being reflected in a remarkably high 'Impact Factor' for a multi-disciplinary social science journal (please see below). Authors intending to submit a paper to RP should first check whether that paper is consistent with the journal's Editorial Strategy as detailed in the Guide for Authors. RP uses an online submission process, https://www.editoria... and all papers are subject to a 'double-blind' review process, details as in the Guide for Authors. Besides research articles and notes, RP also publishes a variety of other types of papers including Special Issues (or shorter Special Sections) occasional discussion papers on important topical issues, and book reviews, again further information in the Guide for Authors.Main Subjects Covered: Economics of Innovation/Technolog... Entrepreneurs/Entrep... Evolutionary or (neo-)Schumpeterian Economics; Geography of Innovation - e.g. industrial clusters; Indicators - science, technology, R&D, innovation etc.; Innovation and Sustainability; Innovation Management/Organizat... Innovation Systems - national, regional, sectoral, technological; Knowledge - creation/production, diffusion/transfer/e... adoption/exploitatio... etc.; Learning (e.g. organizational) and Experimentation; Product and Process Development; Networks - e.g. research/ R&D collaboration, university-industry links, regional clusters, supply chains; Research and Development (R&D) Management/Policy/St... Research Policy; Resource-Based View of the Firm - competence/capabilit... (e.g. absorptive, core, dynamic); Science Policy; Sociotechnical Paradigms/Regimes; Technological Paradigms/Trajectori... Technological problem-solving; Technology Management/Policy/St...- ISSN: 0048-7333
Journal of Mathematical Economics
In the Editor's view, the formal mathematical expression of economic ideas is of vital importance to economics. Such expression can determine whether a loose economic intuition has a coherent, logical meaning. Also, a full formal development of economic ideas can itself suggest new economic concepts and intuitions.The primary objective of the Journal is to provide a forum for work in economic theory which expresses economic ideas using formal mathematical reasoning. For work to add to this primary objective, it is not sufficient that the mathematical reasoning be new and correct. The work must have real economic content. The economic ideas must be interesting and important. These ideas may pertain to any field of economics or any school of economic thought.- ISSN: 0304-4068
Socio-Economic Planning Sciences
The International Journal of Public Sector Decision-MakingDurin... the last several years, there has been substantial and important growth in the application of quantitative analysis, i.e., operations research/management science, statistics, and related arenas, to interdisciplinary problems arising in the area of socio-economic planning and development.Socio-Ec... Planning Sciences is an international journal devoted exclusively to research in this important, but under-represented area. It provides a medium for research that might not appear in more specialized journals, either because of the interdisciplinary or applied character of the study, or the mathematical/quantit... nature of the research. The journal thus serves as a focus for investigations that have hitherto appeared in widely-scattered sources and/or less-than-appropriat... sources.Socio-Econom... Planning Sciences strongly encourages contributions dealing with applications of quantitative models and techniques to important decision problems in the service and public sectors. Of particular interest are accounts of such studies carried out in developing countries and economically emerging regions of the world. Review articles in important methodological and substantive areas are also of interest.The principal criterion used in evaluating a manuscript submitted to the journal is: uniqueness or innovation of the work in terms of the methodology being developed, and/or its application to a problem of particular importance in the public or service sector and/or the setting within which the effort is being made, e.g. an emerging region of the world. That is to say, of the model/methodology itself, the application, and the problem context, at least one of these must be unique and important.Additional criteria considered in reviewing a submitted paper are its accuracy, the organization/present... (i.e. logical flow), and writing quality.Representati... of the topic areas included in the journal are the following:Studies directed toward the more effective utilization of existing resources, e.g. mathematical programming models of health care delivery systems with relevance to more effective program design; systems analysis of fire outbreaks and its relevance to the location of fire stations; statistical analysis of the efficiency of a developing country economy or industry.Studies relating to the interaction of various segments of society and technology, e.g. the effects of government health policies on the utilization and design of hospital facilities; the relationship between housing density and the demands on public transportation or other service facilities: patterns and implications of urban development and air or water pollution.Studies devoted to the anticipations of and response to future needs for social, health and other human services, e.g. the relationship between industrial growth and the development of educational resources in affected areas; investigation of future demands for material and child health resources in a developing country; design of effective recycling in an urban setting.- ISSN: 0038-0121
Journal of Economic Behavior & Organization
The Journal of Economic Behavior and Organization is devoted to theoretical and empirical research concerning economic decision, organization and behavior and to economic change in all its aspects. Its specific purposes are to foster an improved understanding of how human cognitive, computational and informational characteristics influence the working of economic organizations and market economies and how an economy's structural features lead to various types of micro and macro behavior, to changing patterns of development and to institutional evolution. Research with these purposes that explore the interrelations of economics with other disciplines such as biology, psychology, law, anthropology, sociology, finance, marketing, political science, and mathematics is particularly welcome. The journal is eclectic as to research method; systematic observation and careful description, simulation modeling and mathematical analysis are all within its purview. Empirical work, including controlled laboratory experimentation that probes close to the core of the issues in theoretical dispute is encouraged.- ISSN: 0167-2681
European Journal of Operational Research
Published in collaboration with the Association of European Operational Research Societies (EURO).The European Journal of Operational Research (EJOR) publishes high quality, original papers that contribute to the methodology of operational research (OR) and to the practice of decision making. EJOR contains the following types of papers:Invited Reviews, explaining to the general OR audience the developments in an OR topic over the recent years Innovative Applications of OR, describing novel ways to solve real problems Theory and Methodology Papers, presenting original research results contributing to the methodology of OR and to its theoretical foundations, Short Communications, if they correct important errors found in papers previously published in EJORThe Theory and Methodology Papers are classified into one of the seven headings:Continuous OptimizationDiscrete OptimizationProducti... Manufacturing and LogisticsStochastics and StatisticsDecision SupportComputational Intelligence and Information ManagementInterfaces with Other Disciplines- ISSN: 0377-2217
Journal of Rail Transport Planning & Management
The focus of the Journal of Rail Transport Planning & Management (JRTPM) is scientific and applied research that addresses developments and applications in the field of rail transport. The journal encompasses the design, planning and management of rail transport and operations for both passenger and freight trains, covering the whole range of light rail, metro, mainline, high-speed and other rail systems. The intelligent core of the journal is on the side of rail transport, not on rail assets or technology.The Journal of Rail Transport Planning & Management encourages the integration of quantitative methods from different scientific disciplines such as transport modelling, scheduling, operations research, control theory, systems engineering, mathematics, complex networks, computer science, artificial intelligence, economics and transport policy analysis.A non-exhaustive list of topic includes: transport demand estimation, railway network design, line planning, capacity management, timetabling, rail infrastructure maintenance planning, crew and rolling stock scheduling, dispatching, traffic management, disruption management, railway performance and train delay prediction, safety and signalling, train control, automatic train operation, energy-efficient train operation, passenger flows, rail freight and yards, rail governance and economics, and simulation. The journal encourages mathematical modelling and algorithmic approaches with the aim to increase the efficiency and competitiveness of passenger and freight transport, providing higher flexibility, performance and punctuality of trains operating in stations, on dedicated lines and in heterogeneous networks.The Journal of Rail Transport Planning & Management is affiliated with the International Association of Railway Operations Research (IAROR) and aims at consolidating and extending models, methods and concepts that improves rail transport planning and management.- ISSN: 2210-9706
