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
International Journal of Project Management
Published in collaboration with the Association for Project Management (APM) and the International Project Management Association (IPMA)The International Journal of Project Management is the leading journal for the field of project management and organization studies.The International Journal of Project Management aims to publish leading edge innovative research that significantly advances the field of project management and project organizing. It publishes new knowledge on areas such as managing projects, programs and portfolios, project-based/orient... organizations, project networks, and project-oriented societies. Submissions on project management and organizing from the perspectives of organizational behavior, strategy, supply chain, technology, change, innovation and sustainability are particularly welcomed.The scope of the journal covers all project and program types, such as organizational development and change, strategy, sustainable transition, product development, engineering, infrastructure and systems delivery, and industries and industry-sectors where projects take place, such as information technology, engineering and manufacturing, construction, consulting and professional services, and the public sector including international development and cooperation etc.Link to editorial 40(1): Celebrating the power of projects and their managementAuthors are encouraged to take into account the specific type and context of projects in their research, but at the same time consider and discuss the implications of their findings for project management and organizing more generally. In other words, the theoretical implications of a contextualized understanding of projects, and their management, is vital.International Journal of Project Management is the companion title to the open access journal Project Leadership and Society .- ISSN: 0263-7863
Swarm and Evolutionary Computation
Introduction: To tackle complex real world problems, scientists have been looking into natural processes and creatures - both as model and metaphor - for years. Optimization is at the heart of many natural processes including Darwinian evolution, social group behavior and foraging strategies. Over the last few decades, there has been remarkable growth in the field of nature-inspired search and optimization algorithms. Currently these techniques are applied to a variety of problems, ranging from scientific research to industry and commerce. The two main families of algorithms that primarily constitute this field today are the evolutionary computing methods and the swarm intelligence algorithms. Although both families of algorithms are generally dedicated towards solving search and optimization problems, they are certainly not equivalent, and each has its own distinguishing features. Reinforcing each other's performance makes powerful hybrid algorithms capable of solving many intractable search and optimization problems.About the journal: Swarm and Evolutionary Computation is the first peer-reviewed publication of its kind that aims at reporting the most recent research and developments in the area of nature-inspired intelligent computation based on the principles of swarm and evolutionary algorithms. It publishes advanced, innovative and interdisciplinary research involving the theoretical, experimental and practical aspects of the two paradigms and their hybridizations. Swarm and Evolutionary Computation is committed to timely publication of very high-quality, peer-reviewed, original articles that advance the state-of-the art of all aspects of evolutionary computation and swarm intelligence. Survey papers reviewing the state-of-the-art of timely topics will also be welcomed as well as novel and interesting applications.Topics of Interest: Topics of interest include but are not limited to: Genetic Algorithms, and Genetic Programming, Evolution Strategies, and Evolutionary Programming, Differential Evolution, Artificial Immune Systems, Particle Swarms, Ant Colony, Bacterial Foraging, Artificial Bees, Fireflies Algorithm, Harmony Search, Artificial Life, Digital Organisms, Estimation of Distribution Algorithms, Stochastic Diffusion Search, Quantum Computing, Nano Computing, Membrane Computing, Human-centric Computing, Hybridization of Algorithms, Memetic Computing, Autonomic Computing, Self-organizing systems, Combinatorial, Discrete, Binary, Constrained, Multi-objective, Multi-modal, Dynamic, and Large-scale Optimization.Applica... Furthermore, the journal fosters industrial uptake by publishing interesting and novel applications in fields and industries dealing with challenging search and optimization problems from domains such as (but not limited to): Aerospace, Systems and Control, Robotics, Power Systems, Communication Engineering, Operations Research and Decision Sciences, Financial Services and Engineering, (Management) Information Systems, Business Intelligence, internet computing, Sensors, Image Processing, Computational Chemistry, Manufacturing, Structural and Mechanical Designs, Bioinformatics, Computational Biology, Mathematical and Computational Psychology, Cognitive Neuroscience, Brain-computer Interfacing, Future Computing Devices, Nonlinear statistical and Applied Physics, and Environmental Modeling and Software.Software publication We invite you to convert your open source software into an additional journal publication in Software Impacts, a multi-disciplinary open access journal. Software Impacts provides a scholarly reference to software that has been used to address a research challenge. The journal disseminates impactful and re-usable scientific software through Original Software Publications which describe the application of the software to research and the published outputs.For more information contact us at: software.impacts@els...- ISSN: 2210-6502
Decision Support Systems
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.- ISSN: 0167-9236
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
Omega
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.- ISSN: 0305-0483
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
Journal of Economic Dynamics and Control
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.- ISSN: 0165-1889
International Journal of Forecasting
Official Publication of the International Institute of ForecastersThe International Journal of Forecasting is the leading journal in its field. It is the official publication of the International Institute of Forecasters (IIF) and shares its aims and scope. More information about the IIF may be found at https://www.forecast... International Journal of Forecasting publishes high quality refereed papers covering all aspects of forecasting. Its objective (and that of the IIF) is to unify the field, and to bridge the gap between theory and practice, making forecasting useful and relevant for decision and policy makers. The journal places strong emphasis on empirical studies, evaluation activities, implementation research and ways of improving the practice of forecasting. It is open to many points of view and encourages debate to find solutions for problems facing the field.Topics covered in the International Journal of Forecasting:• Economic and econometric forecasting • Marketing forecasting • New products forecasting • Financial forecasting • Production forecasting • Technological forecasting • Forecasting applications in business, government, and the military • Demographic forecasting • Energy forecasting • Climate forecasting • Crime forecasting • Seasonal adjustments and forecasting • Time series forecasting • Legal and political aspects of forecasting • Implementation of forecasting • Judgmental/psycholog... aspects of forecasting • Impact of forecast uncertainty on decision making • Organizational aspects of forecasting • Sport forecasting • Machine Learning forecasting • Forecasting methodology • Election forecasting • Big data forecasting Features of the IJF include research papers, research notes, discussion articles, book reviews, editorials and letters.Data and computer programs associated with articles published in the International Journal of Forecasting are provided as online supplements on ScienceDirect.Object... To ensure fairness and objectivity, double-blind reviewing will be used.Replication studies The IJF encourages replication studies, especially of highly cited papers. See Encouraging replication and reproducible research (an editorial published in 2010) for further information. A replication study that confirms that a published paper can be successfully replicated would normally be quite short (about a page is often sufficient to describe what calculations and comparisons have been done). Where a previously published paper has not been successfully replicated, more details are required to explain how the results differ from those previously published.- ISSN: 0169-2070
International Journal of Information Management
The International Journal of Information Management (IJIM) is a leading outlet for high-impact research in the information systems (IS) field. It embraces an inclusive range of topics, levels of analysis, and perspectives, reflecting all facets of information systems globally.The journal focuses on:Design, development, implementation, and management of information technologies and systems in organizational and societal contexts;Strategic integration of IT in business, including IT strategy, governance, and organizational change management;Digital innovation and emerging technologies–for example, research on social media, mobile and cloud computing, digital platforms and ecosystems, big data analytics, artificial intelligence, the Internet of Things, blockchains, and other cutting-edge technologies and their convergence;Organiza... initiatives that enhance decision-making and business intelligence;Use, impact, and value of information systems on individuals, organizations, and society, including studies of how IS influences organizational performance and processes, user behavior and experience, economics of IT, and public or institutional policy;Organizationa... contextualized ethical, social, and policy issues that are arising in the digital era (for instance, research on data privacy, security and resilience of IT infrastructures, sustainability, digital inclusion, and the societal implications of information technology).By covering this broad spectrum of topics, IJIM provides a comprehensive forum for both theoretical advances and practical insights into contemporary information systems in business contexts.Theoretical and Methodological Rigor IJIM is committed to the highest standards of academic rigor and scholarly contribution, publishing only work that is innovative, insightful, and rigorously developed. Specifically:We seek papers that make strong academic contributions, whether by building new theory or significantly extending existing frameworks. The journal values research that develops a scholarly understanding based on empirical evidence while also offering novel theoretical insights. Papers that do not advance theory or design in a significant way will be desk rejected. Each paper is expected to have a clear theoretical or design science grounding and to articulate its contribution to the broader IS literature, whether it be by challenging existing assumptions, integrating streams of research, unveiling new relationships and constructs, or designing new artifacts.We welcome diverse research methodologies and encourage authors to employ the approach best suited to their research question. Submissions may be quantitative (e.g. large-scale surveys, experiments, analytics), qualitative (e.g. case studies, ethnographies, interviews), design science (artifacts and solutions demonstrating IT innovation), or analytical/modeling studies.While we welcome research that draws on perspectives from computer science, management, economics, psychology, sociology, organization science, and other related disciplines, our focus is on information systems and information management. Any papers narrowly focused (e.g., marketing or agriculture) will be desk rejected. Novel combinations of theories or methods that address complex IS phenomena are welcomed. Regardless of approach, all submissions must demonstrate methodological rigor, sound analysis, and validity of results. The journal ensures a rich methodological plurality that advances the IS field’s knowledge base.We welcome submissions of the article types below –Research ArticlesFull-length, theoretically grounded manuscripts that advance knowledge in information and management through rigorous conceptual development and empirical validation. Submissions should clearly align with the journal’s scope and mission.Research Methods ArticlesThese articles focus on advancing the practice of doing research. This includes papers that introduce or refine methodologies (quantitative, qualitative, or computational, including AI-enabled methods), discuss innovations in data collection or analysis, or reflect on research design, theory building, and scholarly inquiry.Theory and Review ArticlesThese submissions offer integrative reviews of existing literature and develop frameworks that organize knowledge and guide future research. Authors are encouraged to identify gaps, evaluate theoretical contributions, and propose novel directions or conceptual models that shape the evolution of the field.Research NotesShort-form articles that provide timely and focused contributions, such as replication studies, critical re-evaluations of past findings, or exploratory research that challenges prevailing assumptions. This category welcomes contrarian perspectives and constructive critique that fosters healthy academic debate.A Leading Outlet for Cutting-Edge Scholarship As a premier journal in information systems and information management, IJIM aspires to publish only the highest quality scholarship in the discipline. We are dedicated to maintaining a rigorous peer-review process and upholding ethical publication standards to ensure excellence and integrity in the research we disseminate. The journal seeks out groundbreaking and forward-looking studies that push the boundaries of current knowledge and explore emerging frontiers in information systems research. Our goal is to remain at the forefront of the field, by attracting influential research that will set scholarly agendas and guide future inquiry. In line with this goal, IJIM promotes innovative and theory-driven research that is also relevant and insightful for global audiences of scholars. Through its broad scope and unwavering commitment to rigor, IJIM positions itself as a premier venue for cutting-edge IS research. We invite authors to submit their best work to IJIM, confident that our journal provides an authoritative platform to advance the state of knowledge and practice in information systems and to shape the future direction of the field. Open Data PolicyInternational Journal of Information Management is committed to research transparency and reproducibility through its Open Data policy. Authors are required to:Deposit their research data in a relevant data repositoryInclude appropriate citations and links to these datasets in their articleProvide a Research Data Availability StatementIf data sharing is not possible due to ethical, legal, or proprietary constraints, authors must include a detailed statement explaining why the research data cannot be shared.- ISSN: 0268-4012
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.- ISSN: 0925-5273
