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Elsevier

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

  • Analytic Methods in Accident Research

    • ISSN: 2213-6657
    Analytic Methods in Accident Research publishes manuscripts that deal with the development and/or application of innovative statistical and econometric methods to the study of vehicle crashes and other transportation and non-transportation-r... accidents. The intent of the journal is to demonstrate how such innovative methodological approaches can be used to provide new insights and quantification of the factors that affect the frequency and severity of accidents - thus providing new guidance for the implementation of appropriate countermeasures. While the focus of the journal is on the underlying analytic approach, acceptable application areas include all elements of transportation safety (road, pedestrian, air, rail, and water safety), construction safety, and any area of study where the unintended consequences of human behavior, machine failures or system failures result in property damage and/or bodily injury.
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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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  • The Journal of Strategic Information Systems

    • ISSN: 0963-8687
    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
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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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  • 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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  • Stochastic Processes and their Applications

    • ISSN: 0304-4149
    An official journal of the Bernoulli Society for Mathematical Statistics and Probability.Stochast... Processes and their Applications is a mathematics journal that publishes papers on the theory and applications of stochastic processes.It publishes papers on the following: concepts and techniquesmathematic... challenging questions in sciences and engineering.characte... properties,limit theoremsinferencecon... of stochastic processes.The journal is exacting and scholarly in its standards. Every effort is made to promote innovation, vitality, and communication between disciplines. 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.
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  • Organizational Behavior and Human Decision Processes

    • ISSN: 0749-5978
    Organizational Behavior and Human Decision Processes publishes fundamental research in organizational behavior, organizational psychology, and human cognition, judgment, and decision-making. The journal features articles that present original empirical research, theory development, meta-analysis, and methodological advancements relevant to the substantive domains served by the journal. Topics covered by the journal include perception, cognition, judgment, attitudes, emotion, well-being, motivation, choice, and performance. We are interested in articles that investigate these topics as they pertain to individuals, dyads, groups, and other social collectives. For each topic, we place a premium on articles that make fundamental and substantial contributions to understanding psychological processes relevant to human attitudes, cognitions, and behavior in organizations.In order to be considered for publication in OBHDP an empirical manuscript has to include the following:Demonstrat... an interesting behavioral/psycholog... phenomenonMake a significant theoretical and empirical contribution to the existing literatureIdentify and test the underlying psychological mechanism for the newly discovered behavioral/psycholog... phenomenonHave practical implications in organizational contextThe above-mentioned criteria do not apply to conceptual submissions. OBHDP also considers conceptual manuscripts that offer substantively new contribution.
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  • Research Policy

    • ISSN: 0048-7333
    Policy, management and economic studies of science, technology and innovationResearch Policy (RP) articles examine empirically and theoretically the interaction between innovation, technology or research, on the one hand, and economic, social, political and organizational processes, on the other. All RP papers are expected to yield findings that have implications for policy or management.Before submitting, please read the Research Policy Guide for Authors, as well as our guidelines on Journal keywords for submission, and notes for proposing a special issue. If you would like to obtain more information about the scope of RP or the submission process, or if you have any further questions, please see the long list of FAQs at https://www.journals... and Scope: Research Policy (RP) is a multi-disciplinary journal devoted to analyzing, understanding and effectively responding to the economic, policy, management, organizational, environmental and other challenges posed by innovation, technology, R&D and science. This includes a number of related activities concerned with the creation of knowledge (through research), the diffusion and acquisition of knowledge (e.g. through organizational learning), and its exploitation in the form of new or improved products, processes or services. RP is generally acknowledged to be the leading journal in the field of innovation studies, with its academic status and influence being reflected in a remarkably high 'Impact Factor' for a multi-disciplinary social science journal (please see below). Authors intending to submit a paper to RP should first check whether that paper is consistent with the journal's Editorial Strategy as detailed in the Guide for Authors. RP uses an online submission process, https://www.editoria... and all papers are subject to a 'double-blind' review process, details as in the Guide for Authors. Besides research articles and notes, RP also publishes a variety of other types of papers including Special Issues (or shorter Special Sections) occasional discussion papers on important topical issues, and book reviews, again further information in the Guide for Authors.Main Subjects Covered: Economics of Innovation/Technolog... Entrepreneurs/Entrep... Evolutionary or (neo-)Schumpeterian Economics; Geography of Innovation - e.g. industrial clusters; Indicators - science, technology, R&D, innovation etc.; Innovation and Sustainability; Innovation Management/Organizat... Innovation Systems - national, regional, sectoral, technological; Knowledge - creation/production, diffusion/transfer/e... adoption/exploitatio... etc.; Learning (e.g. organizational) and Experimentation; Product and Process Development; Networks - e.g. research/ R&D collaboration, university-industry links, regional clusters, supply chains; Research and Development (R&D) Management/Policy/St... Research Policy; Resource-Based View of the Firm - competence/capabilit... (e.g. absorptive, core, dynamic); Science Policy; Sociotechnical Paradigms/Regimes; Technological Paradigms/Trajectori... Technological problem-solving; Technology Management/Policy/St...
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  • 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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  • Transportation Research Part E: Logistics and Transportation Review

    • ISSN: 1366-5545
    Transportation Research Part E: Logistics and Transportation Review (TR-E) is differentiated from its sister journals (TR-A, TR-B, TR-C, TR-D, and TR-F). As reflected in their title, the commonality between these journals is the focus on ‘Transportation,’ but TR-E is differentiated by specializing in ‘Logistics.’ Of course, it is widely accepted that transportation is undoubtedly one of the most critical components of logistics. TR-E publishes informative and high-quality articles drawn from across the spectrum of logistics components. The related research studies are multi-disciplinary and include (i) hard/ classic logistics research, such as transportation, material handling, packaging, warehousing, inventory, and handling, and so on (ii) soft logistics research by adding Operations Management (OM) and Supply Chain Management (SCM) concepts, tools, and philosophies to the classic logistics, such as sustainability, risk and disruption, circular economy, and artificial intelligence.There are no limitations to the research methods utilized. Therefore, various research methods can be used, such as analytical (e.g., operations research techniques including game theory, queuing theory, dynamic programming, linear, integer, and nonlinear programming), quantitative and qualitative empirical research (e.g., time series, regression, microeconomics), simulation, mixed research methods (e.g., combining surveys and case studies with quantitative data analysis), experimental research (e.g., controlled experiments, lab experiments, and field experiments), case studies (e.g., in-depth analysis), machine learning, artificial intelligence and network analysis (e.g., graph theoretic concept).
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