Journals in Decision sciences and computers
Journals in Decision sciences and computers
Exploring the intersection of decision analysis and computer science, this collection covers algorithms, artificial intelligence, and automation in decision-making. Showcasing advanced models, computational techniques, and practical applications, it supports researchers, data scientists, and engineers in transforming data into strategic insights. Addressing big data, machine learning, and decision support systems, these resources enable innovative solutions that improve operational efficiency and decision quality across industries, fostering a smarter, more adaptive approach to complex problems.
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
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
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: 0963-8687
Discrete Applied Mathematics
The Journal of Combinatorial Algorithms, Informatics and Computational SciencesThe aim of Discrete Applied Mathematics is to bring together research papers in different areas of algorithmic and applicable discrete mathematics as well as applications of combinatorial mathematics to informatics and various areas of science and technology. Contributions presented to the journal can be research papers, short notes, surveys, and possibly research problems. The "Communications" section will be devoted to the fastest possible publication of recent research results that are checked and recommended for publication by a member of the Editorial Board. The journal will also publish a limited number of book announcements as well as proceedings of conferences. These proceedings will be fully refereed and adhere to the normal standards of the journal.Potential authors are advised to view the journal and the open calls-for-papers of special issues before submitting their manuscripts. Only high-quality, original work that is within the scope of the journal or the targeted special issue will be considered.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.- ISSN: 0166-218X
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
Journal of Engineering and Technology Management
The Journal of Engineering and Technology Management (JET-M) is an international scholarly refereed research journal which aims to promote the theory and practice of technology, innovation, and engineering management.The journal links engineering, science, and management disciplines. It addresses the issues involved in the planning, development, and implementation of technological capabilities to shape and accomplish the strategic and operational objectives of an organization. It covers not only R&D management, but also the entire spectrum of managerial concerns in technology-based organizations. This includes issues relating to new product development, human resource management, innovation process management, project management, technological fusion, marketing, technological forecasting and strategic planning.The journal provides an interface between technology and other corporate functions, such as R&D, marketing, manufacturing and administration. Its ultimate goal is to make a profound contribution to theory development, research and practice by serving as a leading forum for the publication of scholarly research on all aspects of technology, innovation, and engineering management.- ISSN: 0923-4748
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
Computers & Industrial Engineering
Industrial engineering is one of the earliest fields to utilize computers in research, education, and practice. Over the years, computers and electronic communication have become an integral part of industrial engineering. Computers & Industrial Engineering (CAIE) is aimed at an audience of researchers, educators and practitioners of industrial engineering and associated fields.It publishes original contributions on the development of new computerized methodologies for solving industrial engineering problems, as well as the applications of those methodologies to problems of interest in the broad industrial engineering and associated communities. The journal encourages submissions that expand the frontiers of the fundamental theories and concepts underlying industrial engineering techniques.CAIE also serves as a venue for articles evaluating the state-of-the-art of computer applications in various industrial engineering and related topics, and research in the utilization of computers in industrial engineering education. Papers reporting on applications of industrial engineering techniques to real life problems are welcome, as long as they satisfy the criteria of originality in the choice of the problem and the tools utilized to solve it, generality of the approach for applicability to other problems, and significance of the results produced.A major aim of the journal is to foster international exchange of ideas and experiences among scholars and practitioners with shared interests all over the world.- ISSN: 0360-8352
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
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 Disciplines- ISSN: 0377-2217
