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

Books Journals

Next Research

ISSN: 3050-4759

Next Research is a peer-reviewed multidisciplinary journal, publishing research spanning all scientific technical and medical communities.The journal is part of the Next family, a new suite of multidisciplinary journals from Elsevier spanning all branches of science. Managed by our dedicated team of in-house Editors, Next Research offers authors speed, consistency, innovation, flexibility, and ease of submission.Next Research is an inclusive venue for scientifically accurate manuscripts that meet the ethical and scientific publishing standards. It publishes all research topics across the fields of health sciences, physical sciences, life sciences and social sciences. Next Research publishes experimental, computational, and theoretical work, in traditional formats such as Original Research Articles, Communications and Reviews, as well as novel formats and video content.The journal provides authors with rigorous peer review ensuring articles adhere to a high technical standard, with rapid decisions and a highly visible platform for scientists to share their research.We believe that all rigorous research should be shared.

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Omega

ISSN: 0305-0483
5 Year impact factor: 7
Impact factor: 6.7

Omega reports on advances in Operations Analytics, including the latest research results and applications in Management Sciences. OMEGA seeks submissions related to the use of data and problem-driven models and techniques to address practical optimization and business analytics challenges. Of particular interest are papers that present effective and contemporary modeling and solution approaches for novel application areas, as well as those papers that contain breakthroughs in solving established problems in application domains of considerable interest. The submissions are expected to be of high quality and relevance, written in a manner that makes it accessible to a wide-ranging readership of academics, practitioners, and managers. Preference will be given to papers with implications for the practice of management.OMEGA welcomes the following types of submissions:Innovati... Applications:Article... that present unique and effective solutions to real-world challenges.Theory and Methodology Advances:Research papers offering new contributions to the methodologies and theoretical foundations of Management Sciences and Operations Analytics.Invited Reviews:Comprehensiv... reviews that inform the broader Management Sciences audience about recent advancements in a specific topic area.Short Communications:Brief reports that address significant shortcomings or limitations identified in recent OMEGA publications.

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Operations Research Letters

ISSN: 0167-6377
5 Year impact factor: 1.1
Impact factor: 0.8

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.

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Operations Research, Data Analytics and Logistics

ISSN: 2211-6923
5 Year impact factor: 2.2
Impact factor: 1.5

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.

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Operations Research, Data Analytics and Logistics

ISSN: 3050-7847
5 Year impact factor: 2.2
Impact factor: 1.5

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Organizational Behavior and Human Decision Processes

ISSN: 0749-5978
5 Year impact factor: 5.9
Impact factor: 3.4

Organizational Behavior and Human Decision Processes publishes fundamental research in organizational behavior, organizational psychology, and human cognition, judgment, and decision-making. The journal features articles that present original empirical research, theory development, meta-analysis, and methodological advancements relevant to the substantive domains served by the journal. Topics covered by the journal include perception, cognition, judgment, attitudes, emotion, well-being, motivation, choice, and performance. We are interested in articles that investigate these topics as they pertain to individuals, dyads, groups, and other social collectives. For each topic, we place a premium on articles that make fundamental and substantial contributions to understanding psychological processes relevant to human attitudes, cognitions, and behavior in organizations.In order to be considered for publication in OBHDP an empirical manuscript has to include the following:Demonstrat... an interesting behavioral/psycholog... phenomenonMake a significant theoretical and empirical contribution to the existing literatureIdentify and test the underlying psychological mechanism for the newly discovered behavioral/psycholog... phenomenonHave practical implications in organizational contextThe above-mentioned criteria do not apply to conceptual submissions. OBHDP also considers conceptual manuscripts that offer substantively new contribution. 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

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Research Policy

ISSN: 0048-7333
5 Year impact factor: 10.1
Impact factor: 7.5

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...

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Research in Social Stratification and Mobility

ISSN: 0276-5624
5 Year impact factor: 3
Impact factor: 2.7

The Official Journal of the ISA RC28 on Social Stratification and MobilityThe study of social inequality is and has been one of the central preoccupations of social scientists. Research in Social Stratification and Mobility is dedicated to publishing the highest, most innovative research on issues of social inequality from a broad diversity of theoretical and methodological perspectives. The journal is also dedicated to cutting edge summaries of prior research and fruitful exchanges that will stimulate future research on issues of social inequality.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

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Socio-Economic Planning Sciences

ISSN: 0038-0121
5 Year impact factor: 5.9
Impact factor: 6.2

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.

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Stochastic Processes and their Applications

ISSN: 0304-4149
5 Year impact factor: 1.4
Impact factor: 1.1

An official journal of the Bernoulli Society for Mathematical Statistics and Probability.Stochast... Processes and their Applications is a mathematics journal that publishes papers on the theory and applications of stochastic processes.It is concerned with the following: concepts and techniquesmathematic... challenging questions in sciences and engineering.characte... properties,limit theoremsinferencecon... of stochastic processes.The journal is exacting and scholarly in its standards. Every effort is made to promote innovation, vitality, and communication between disciplines. Submissions are anonymously peer-reviewed.This journal has an Open Archive. All published items, including research articles, have unrestricted access and will remain permanently free to read and download 48 months after publication. All papers in the Archive are subject to Elsevier's user license.If you require any further information or help, please visit our Support Center.

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Related subjects

Decision sciences and computers

Decision sciences applications

Operations research management science methods

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health

Journals in Decision sciences

Next Research

Omega

Operations Research Letters

Operations Research, Data Analytics and Logistics

Operations Research, Data Analytics and Logistics

Organizational Behavior and Human Decision Processes

Research Policy

Research in Social Stratification and Mobility

Socio-Economic Planning Sciences

Stochastic Processes and their Applications

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