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
- ISSN: 0167-6377
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, R. Roet-Green, 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: 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: 0965-8564
Transportation Research Part A: Policy and Practice
Transportation Research: Part A considers papers dealing with policy analysis (design, formulation and evaluation); planning; interaction with the political, socioeconomic and physical environments; and management and evaluation of transport systems. Topics may be approached from any discipline or perspective: economics, engineering, psychology, sociology, urbanism, etc., but must have a clear policy concern or be of interest for practice, and must be based on solid research and good quality data. The journal is international, and places equal emphasis on the problems of industrialized and non-industrialized regions.Part A's aims and scope are complementary to Transportation Research Part B: Methodological, Part C: Emerging Technologies and Part D: Transport and Environment. Part E: Logistics and Transportation Review. Part F: Traffic Psychology and Behaviour. The complete set forms the most cohesive and comprehensive reference of current research in transportation science.Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center
- ISSN: 0377-2217
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 Optimization • Discrete Optimization • Production, Manufacturing and Logistics • Stochastics and Statistics • Decision Support • Computational Intelligence and Information Management • Interfaces with Other DisciplinesBenefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center
- ISSN: 0963-8687
The Journal of Strategic Information Systems
The Journal of Strategic Information Systems focuses on the strategic management, business and organizational issues associated with the introduction and utilization of information systems, and considers these issues in a global context. The emphasis is on the incorporation of IT into organizations' strategic thinking, strategy alignment, organizational arrangements and management of change issues. The journal publishes research from around the world which:• investigate the changing nature of business in the context of emerging IT • discuss the justification and evaluation of information systems • discuss the organizational implications of IT • consider how organizations have been transformed as a result of the astute management and application of ITA transdisciplinary, critical approach/perspective is welcome.Topics covered include: • organizational transformation on the back of IT • information systems/business strategy alignment • inter-organizational systems • global issues and cross-cultural issues • the impact and significance of emerging IT
- ISSN: 0925-5273
International Journal of Production Economics
The International Journal of Production Economics focuses on topics treating the interface between engineering and management. All aspects of the subject in relation to manufacturing and process industries, as well as production in general are covered. The journal is interdisciplinary in nature, considering whole cycles of activities, such as the product life cycle - research, design, development, test, launch, disposal - and the material flow cycle - supply, production, distribution.The ultimate objective of the journal is to disseminate knowledge for improving industrial practice and to strengthen the theoretical base necessary for supporting sound decision making. It provides a forum for the exchange of ideas and the presentation of new developments in theory and application, wherever engineering and technology meet the managerial and economic environment in which industry operates. In character, the journal combines the high standards of a traditional academic approach with the practical value of industrial applications.Article... accepted need to be based on rigorous sound theory and contain an essential novel scientific contribution. Tracing economic and financial consequences in the analysis of the problem and solution reported, belongs to the central theme of the journal. Submissions should strictly follow the Guide for Authors of the journal.We are interested in publishing high quality survey and review papers in relevant domains. However, we stress that the hurdles for consideration of such papers are high. They must demonstrate a strong need, show that they are well-executed, and generate valuable insights. Survey and review papers must position themselves clearly in relation to existing related reviews and surveys in the field. Systematic reviews that merely describe publication patterns in a particular field are unlikely to be sent out for review for IJPE. All survey and review papers must show valuable critique of the field and new insights. Such papers will normally require author(s) with sufficient experience in the field to make appropriate judgements.Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center
- ISSN: 0305-0548
Computers & Operations Research
Computers & Operations Research is a privileged forum for state-of-the-art work exploring the theory and practice of Operations Research (OR) intertwined with advanced computational methodologies. The journal publishes high-quality innovative and impactful research articles in theories, modeling, algorithms, and applications of Operations Research.Since its first volume was printed in 1974, the journal has promoted different OR application areas that include but are not limited to Transportation, Logistics, Manufacturing, and Supply Chain Management. The journal has also triggered new trends in OR models and techniques such as Data Analytics, Decision-making under Uncertainty, and Behavioral OR. A strong focus has been put on recent advances in Statistics, Data Science, and Machine Learning.The form, content, and language of the articles should take cognizance of the breadth of applications covered by OR and of the consequent fact that many readers may not be experts in the scientific field to which the computer and operations research techniques are applied by the author. In particular, the abstract should concisely describe:1. the investigated problem(s), 2. the theoretical or methodological contribution, and 3. the insights.The journal is structured around seven major areas which, nonetheless, are not disjointed:Transport... and Supply Chains; Production and Scheduling; Decision-Making under Uncertainty and Data Analytics; Optimization—Exact Methods; Optimization—Approxi... Methods; Machine Learning and Data Science. The journal also publishes state-of-the-art surveys and best practice guides in Analytics, Operations Research, and Management Science. These articles are printed in a special section, “Surveys in Operations Research and Management Science”. Submissions can focus on theory or applications of OR/MS and can be of several types, including but not limited to: 1. Results that are considered standards by experts in the community but which have not been documented in textbooks; 2. Standard results which have been, in some way, streamlined, such as, for example, new proof techniques leading to more elegant derivations of known results; 3. New developments in methodology or new application areas ('hot topics'). A survey should be critical with respect to the existing knowledge and should focus on computational and algorithmic aspects. The journal publishes focused issues on topics of interest related to its editorial mission. Such issues typically contain between six and twelve articles. They are put together within an eighteen-month period under the responsibility of one or several guest editors. Prospective guest editors are encouraged to contact the Editor-in-chief.Full... reproducible results are core for papers accepted for publication in the journal. Hence, authors should grant full access to the data and codes underlying their work. Further information on different possibilities to accomplish this can be found at https://www.scienced... Best Paper AwardEvery year, the journal’s editors select one paper to receive the “CAOR Annual Best Paper Award”. The paper will be made free-to-view for one year, thus receiving privileged visibility. The winning and the runner-up papers will also be highlighted on the website in the “Editor’s Choice” section, staying there for one year.Further Information for authorsIt is the responsibility of the authors to ensure that the submitted manuscripts are written using proper English, that possible grammatical or spelling errors are eliminated and that the text conforms to correct scientific English. Submissions that do not satisfy these criteria may be rejected without being sent to reviewers.All full-length research papers published in the journal must demonstrate constructive algorithmic complexity and extensive numerical experiments. Numerical illustrations (examples) are not sufficient: the numerical experiments must have a scientific value of their own, particularly with comparisons to other approaches. The use of real-world data is also valued. In CAOR, (meta)Heuristics other than well-established algorithms such as evolutionary algorithms or ant colony optimization must be described in metaphor-free language. This is a way to ensure that they are immediately comparable to existing algorithms. The Harvard style is adopted in the journal for the bibliography. Authors should consider this while preparing their manuscripts, especially when preparing tables and charts involving bibliography references.The highly innovative contributions targeted by the journal prevent it from endorsing papers that present long and unsolvable formulations for variants or extensions of existing problems and then resort to a well-established approximate method to find approximate solutions. CAOR does not endorse papers emerging in the context of warfare activities planning. The authors working in that and related fields should look for specialized journals.
- ISSN: 0304-4068
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: 0048-7333
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: 3050-7847
Operations Research, Data Analytics and Logistics
Healthcare Operations – Humanitarian Logistics – Medical Decision Support - Pharmaceutical OperationsOperations Research, Data Analytics, and Logistics (ORDAL) focuses on understanding and implementing better healthcare for society using quantitative methodology. The core application area is healthcare in the broadest sense. The journal focuses primarily on Healthcare Operations, Humanitarian Logistics, Medical Decision Support, and Pharmaceutical Operations. ORDAL publishes high-quality quantitative approaches for decision-making and decision support in healthcare from researchers and practitioners. ORDAL encourages contributions related to typical problem areas of healthcare, such as acute care, hospital care, specialist care, primary care, home care, long-term care, emergency care, humanitarian care, etc. Contributions can focus on the whole value chain in healthcare, tackling core and support processes. For instance, topics of interest are capacity planning, layout planning, operating room planning, surgical scheduling, patient logistics, appointment scheduling, medical decision-making, etc. ORDAL welcomes contributions, if suitable to the journal’s objectives, in health informatics, health decision support systems, health analytics, health policy, health management, health economics, population health etc. ORDAL stimulates contributions advancing the current state-of-the-art and applying quantitive methodology, such as mathematical programming, stochastic optimization, simulation, data science, artificial intelligence, machine learning, etc., to relevant healthcare-related problems. ORDAL inspires using real-world data in case studies and/or numerical experiments. Ideally, the source data is publicly available.In addition to original research articles, ORDAL publishes, upon reasonable request to the Editor-in-Chief, papers in the following two categories:1) Review papers: ORDAL provides maximum benefit to researchers and practitioners who are genuinely interested in operations research, data analytics, and logistics for better healthcare. Review papers should focus on emerging topics in healthcare and are by invitation only.2) Special Issues (SIs): ORDAL publishes special issues on topics of interest related to its editorial mission. SIs typically contain between six and twelve papers and have a dedicated focus area. One or several guest editors, experts in the field, are responsible for the SI. However, the final decision on all papers will be made by the Editor-in-Chief. Potential guest editors should send a prospective call for papers and informative CVs for the guest editors. Sis should focus on emerging topics in healthcare and are by invitation only.
- ISSN: 2211-6923
Operations Research, Data Analytics and Logistics
Healthcare Operations – Humanitarian Logistics – Medical Decision Support - Pharmaceutical OperationsOperations Research, Data Analytics, and Logistics (ORDAL) focuses on understanding and implementing better healthcare for society using quantitative methodology. The core application area is healthcare in the broadest sense. The journal focuses primarily on Healthcare Operations, Humanitarian Logistics, Medical Decision Support, and Pharmaceutical Operations. ORDAL publishes high-quality quantitative approaches for decision-making and decision support in healthcare from researchers and practitioners. ORDAL encourages contributions related to typical problem areas of healthcare, such as acute care, hospital care, specialist care, primary care, home care, long-term care, emergency care, humanitarian care, etc. Contributions can focus on the whole value chain in healthcare, tackling core and support processes. For instance, topics of interest are capacity planning, layout planning, operating room planning, surgical scheduling, patient logistics, appointment scheduling, medical decision-making, etc. ORDAL welcomes contributions, if suitable to the journal’s objectives, in health informatics, health decision support systems, health analytics, health policy, health management, health economics, population health etc. ORDAL stimulates contributions advancing the current state-of-the-art and applying quantitive methodology, such as mathematical programming, stochastic optimization, simulation, data science, artificial intelligence, machine learning, etc., to relevant healthcare-related problems. ORDAL inspires using real-world data in case studies and/or numerical experiments. Ideally, the source data is publicly available.In addition to original research articles, ORDAL publishes, upon reasonable request to the Editor-in-Chief, papers in the following two categories:1) Review papers: ORDAL provides maximum benefit to researchers and practitioners who are genuinely interested in operations research, data analytics, and logistics for better healthcare. Review papers should focus on emerging topics in healthcare and are by invitation only.2) Special Issues (SIs): ORDAL publishes special issues on topics of interest related to its editorial mission. SIs typically contain between six and twelve papers and have a dedicated focus area. One or several guest editors, experts in the field, are responsible for the SI. However, the final decision on all papers will be made by the Editor-in-Chief. Potential guest editors should send a prospective call for papers and informative CVs for the guest editors. Sis should focus on emerging topics in healthcare and are by invitation only.