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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

  • Decision Support Systems

    • ISSN: 0167-9236
    and Electronic CommerceThe common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs). Manuscripts may draw from diverse methods and methodologies, including those from decision theory, economics, econometrics, statistics, computer supported cooperative work, data base management, linguistics, management science, mathematical modeling, operations management, cognitive science, psychology, user interface management, and others. However, a manuscript focused on direct contributions to any of these related areas should be submitted to an outlet appropriate to the specific area.Examples of research topics that would be appropriate for Decision Support Systems include the following:1. DSS Foundations e.g. principles, concepts, and theories of enhanced decision making; formal languages and research methods enabling improvements in decision making. It is important that theory validation be carefully addressed.2. DSS Functionality e.g. methods, tools, and techniques for developing thefunctional aspects of enhanced decision making; solver, model, and/or data management in DSSs; rule formulation and management in DSSs; DSS development and use in computer supported cooperative work, negotiation, research and product.3. DSS Interfaces e.g. methods, tools, and techniques for designing and developing DSS interfaces; development, management, and presentation of knowledge in a DSS; coordination of a DSS's interface with its functionality.4. DSS Implementation - experiences in DSS development and utilization; DSS management and updating; DSS instruction/training... A critical consideration must be how specific experiences provide more general implications.5. DSS Evaluation and Impact e.g. evaluation metrics and processes; DSS impact on decision makers, organizational processes and performance.
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  • Operations Research, Data Analytics and Logistics

    • ISSN: 2211-6923
    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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  • Automatica

    • ISSN: 0005-1098
    A journal of IFAC, the International Federation of Automatic Control, Automatica is a leading archival publication in the field of systems and control. The field today encompasses a broad set of areas and topics, and is thriving not only within itself but also in terms of its impact on other fields, such as communications, computers, biology, energy and economics. After being founded in 1963, Automatica became a journal of the IFAC in 1969. Since its inception, Automatica has kept abreast with the evolution of the field over the years, and has emerged as a leading publication driving the trends in the field.Automatica features a characteristic blend of theoretical and applied papers of archival, lasting value, reporting cutting edge research results by authors across the globe. It features articles in distinct categories, including regular, brief and survey papers, technical communiqués, correspondence items, as well as reviews on published books of interest to the readership. It occasionally publishes special issues on emerging new topics or established mature topics of interest to a broad audience.Automatica solicits original high-quality contributions in all the categories listed above, and in all areas of systems and control interpreted in a broad sense and evolving constantly.
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  • Technological Forecasting and Social Change

    • ISSN: 0040-1625
    A major forum for those wishing to deal directly with the methodology and practice of technological forecasting and future studies as planning tools as they interrelate social, environmental and technological factors.Please see our SI Guideline for information on submitting a Special Issue proposal.MISSIONTFSC invites submissions that focus on technology and its impact on society. Technology provides opportunities for growth and innovation by offering the means for introducing novel or improved products, services, and processes that have the potential to provide additional value to societal actors. TFSC is committed to publishing research with a clear technological focus that significantly contributes to both theory and practice. Technological innovation can optimize existing business activities, extend into new business areas, push the frontiers of markets, and contribute to mitigating and adapting to socioeconomic and environmental challenges. Tapping into the innovation potential of technology and evaluating its impact requires moving across four fields of research: first, forecasting the emergence, development, and impact of technologies; second, taking managerial decisions at the organizational and industrial level to materialize the innovation potential of technologies; third, examining and evaluating the multifaceted effects that the implementation of technological innovations have on society, organizations, and the environment, and fourth, developing appropriate governance processes and frameworks. .THE FOCUS OF TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE: WHAT WE AIM TO PUBLISH AND WHAT WE DO NOT PUBLISHTFSC invites submissions that focus on technology and its impact on society. Technology provides opportunities for growth and innovation by offering the means for introducing novel or improved products, services, and processes that have the potential to provide additional value to societal actors. This technological innovation can be directed at optimizing existing business activities, extending into new business areas, pushing the frontiers of markets, and contributing to mitigating and adopting socioeconomic and environmental challenges.Tapping into the innovation potential of technology and evaluating its impact requires moving across three majorfields of research.First, the future characteristics of technologies need to be forecasted. This implies observing and analyzing the emergence and development of novel technologies and assessing their potential functioning and impact on society. Technological forecasting is also indispensable to make informed decisions about investing resources, developing new products, planning for policy implications, and strategically positioning technological innovations in a competitive market. Moreover, it is a vital tool that helps organizations adapt to technological change and plan for the future with greater certainty. Manuscripts focused on forecasting the emergence, development, and impact of technologies should be submitted to the Technological Forecasting and Modelling bureau of TFSC. Second, materializing the innovation potential of technologies and ensuring that it becomes instrumental in advancing businesses, economies and societal goals requires managerial decisions. Such managerial decisions for example concern choices between technologies, allocation of resources to technological innovation initiatives, organizational change to enable technological transformation. Here the focus is on research on the management of technologies rather than technologies that support managerial decisions. Research that informs decisions in technology management at the organizational and industrial level should be submitted to the Management of Technology bureau of TFSC. Third, research efforts are needed to examine and evaluate the multifaceted effects of technological advancements on society, organizations, and the environment. This area of study builds on contributions that seek to understand the direct and indirect consequences of technology implementation, ranging from its economic implications to social changes, without forgetting about environmental effects. The ultimate goal is to provide assessments that can inform policymakers, businesses, and the public about the benefits and risks associated with the deployment of technological innovations. This field of research also emphasizes the importance of tracking the impact of technologies over time and across different settings. Moreover, this focus can involve not just assessing the outcomes of technology implementation, but also the processes by which technologies are integrated and adopted. Research in this domain should be submitted to the Impact and Evaluation of Technology bureau of TFSC.Fourth, developing appropriate institutional structures, regulatory frameworks and decision-making processes is essential for ensuring that innovative technologies equitably address societal challenges while managing associated risks. This implies understanding how different approaches can effectively facilitate and guide the diffusion and deployment of technologies, encompassing studies of regulatory innovation, policy experimentation, and governance models that can adapt to rapidly evolving technologies. It asks how different stakeholders - including government bodies, technical experts, industry players, civil society organizations, and the public - can be effectively engaged in technology governance processes. Manuscripts focused on understanding how governance of emerging technologies can foster sociotechnical progress while protecting public interests should be submitted to the Technology Governance and Public Policy bureau of TFSC.During the submission process, authors are responsible for carefully selecting the bureau in which their study should be assessed for potential publication in TFSC. We also encourage submissions taking a more holistic approach to the study of technology and its impact on society, by covering thematic areas that are relevant for more than one bureau. It is also important to highlight that manuscripts looking into individual, organizational, or societal factors that impact technological development are out of scope. Moreover, TFSC does not publish research that focuses on social change only, unless authors examine this change through the lens of specific technological developments. All manuscripts published in TFSC are expected to make substantial theoretical and practical contributions. Practical contributions can be translated into recommendations for management practice but also as policy implications. These contributions need to be explicitly spelled out and well-rooted in the findings of your study. To substantially advance our understanding of technology and its impact on society, submissions have to be rooted inan effective, consistent, and current theoretical basis. An effective theoretical underpinning enables researchers to frame the subject matter under investigation. For a theory base to be consistent, all ideas developed in the manuscript need to build on a theoretical framework with matching ontological and epistemological basic assumptions. The theoretical underpinning is current if authors effectively leverage state-of-the-art knowledge provided in scientific publications. TFSC will not publish manuscripts that lack a strong theoretical contribution, methodological development, and practical implications. TFSC also desk reject papers that violate submission or ethical guidelines as outlined in the guide for authors on the journal webpage.
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  • Journal of Economic Dynamics and Control

    • ISSN: 0165-1889
    The journal provides an outlet for publication of research concerning all theoretical and empirical aspects of economic dynamics and control as well as the development and use of computational methods in economics and finance. Contributions regarding computational methods may include, but are not restricted to, artificial intelligence, databases, decision support systems, genetic algorithms, modelling languages, neural networks, numerical algorithms for optimization, control and equilibria, parallel computing and qualitative reasoning.
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  • Fuzzy Sets and Systems

    • ISSN: 0165-0114
    An International Journal in Information Science and Engineering Official Publication of the International Fuzzy Systems Association (IFSA)Since its launching in 1978, the journal Fuzzy Sets and Systems has been devoted to the international advancement of the theory and application of fuzzy sets and systems. The theory of fuzzy sets now encompasses a well organized corpus of basic notions including (and not restricted to) aggregation operations, a generalized theory of relations, specific measures of information content, a calculus of fuzzy numbers. Fuzzy sets are also the cornerstone of a non-additive uncertainty theory, namely possibility theory, and of a versatile tool for both linguistic and numerical modeling: fuzzy rule-based systems. Numerous works now combine fuzzy concepts with other scientific disciplines as well as modern technologies.In mathematics fuzzy sets have triggered new research topics in connection with category theory, topology, algebra, analysis. Fuzzy sets are also part of a recent trend in the study of generalized measures and integrals, and are combined with statistical methods. Furthermore, fuzzy sets have strong logical underpinnings in the tradition of many-valued logics.Fuzzy set-based techniques are also an important ingredient in the development of information technologies. In the field of information processing fuzzy sets are important in clustering, data analysis and data fusion, pattern recognition and computer vision. Fuzzy rule-based modeling has been combined with other techniques such as neural nets and evolutionary computing and applied to systems and control engineering, with applications to robotics, complex process control and supervision. In thefield of information systems, fuzzy sets play a role in the development of intelligent and flexible manBmachine interfaces and the storage of imprecise linguistic information. In Artificial Intelligence various forms of knowledge representation and automated reasoning frameworks benefit from fuzzy set-based techniques, for instance in interpolative reasoning, non-monotonic reasoning, diagnosis, logic programming, constraint-directed reasoning, etc. Fuzzy expert systems have been devised for fault diagnosis,and also in medical science. In decision and organization sciences, fuzzy sets has had a great impact in preference modeling and multicriteria evaluation, and has helped bringing optimization techniques closer to the users needs. Applications can be found in many areas such as management, production research, and finance. Moreover concepts and methods of fuzzy set theory have attracted scientists in many other disciplines pertaining to human-oriented studies such as cognitive psychology and some aspects of social sciences.The scope of the journal Fuzzy Sets and Systems has expanded so as to account for all facets of the field while emphasizing its specificity as bridging the gap between the flexibility of human representations and the precision and clarity of mathematical or computerized representations, be they numerical or symbolic.The journal welcomes original and significant contributions in the area of Fuzzy Sets whether on empirical or mathematical foundations, or their applications to any domain of information technology, and more generally to any field of investigation where fuzzy sets are relevant. Applied papers demonstrating the usefulness of fuzzy methodology in practical problems are particularly welcome. Fuzzy Sets and Systems publishes high-quality research articles, surveys as well as case studies. Separate sections are Recent Literature, and the Bulletin, which offers research reports, book reviews and conference announcements and various news items. Invited review articles on topics of general interest are included and special issues are published regularly.
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  • European Journal of Operational Research

    • ISSN: 0377-2217
    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
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  • Information & Management

    • ISSN: 0378-7206
    The International Journal of Information Systems Theories and ApplicationsInformat... & Management serves researchers in the information systems field and managers, professionals, administrators and senior executives of organizations which design, implement and manage Information Systems Applications. The major aims are:• To collect and disseminate information on new and advanced developments in the field of information systems;• To provide material for training and education in information systems;• To encourage further progress in information systems methodology and applications;• To cover the range of information system development and usage in their use of managerial policies, strategies, and activities for business, public administration, and international organizations.
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  • Operations Research, Data Analytics and Logistics

    • ISSN: 3050-7847
    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 Letters

    • ISSN: 0167-6377
    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.
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