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 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
Computers & Operations Research
Computers & Operations Research is a privileged forum for state-of-the-art work exploring the theory and practice of Operations Research (OR) intertwined with advanced computational methodologies. The journal publishes high-quality innovative and impactful research articles in theories, modeling, algorithms, and applications of Operations Research.Since its first volume was printed in 1974, the journal has promoted different OR application areas that include but are not limited to Transportation, Logistics, Manufacturing, and Supply Chain Management. The journal has also triggered new trends in OR models and techniques such as Data Analytics, Decision-making under Uncertainty, and Behavioral OR. A strong focus has been put on recent advances in Statistics, Data Science, and Machine Learning.The form, content, and language of the articles should take cognizance of the breadth of applications covered by OR and of the consequent fact that many readers may not be experts in the scientific field to which the computer and operations research techniques are applied by the author. In particular, the abstract should concisely describe:1. the investigated problem(s), 2. the theoretical or methodological contribution, and 3. the insights.The journal is structured around seven major areas which, nonetheless, are not disjointed:Transport... and Supply Chains; Production and Scheduling; Decision-Making under Uncertainty and Data Analytics; Optimization—Exact Methods; Optimization—Approxi... Methods; Machine Learning and Data Science. The journal also publishes state-of-the-art surveys and best practice guides in Analytics, Operations Research, and Management Science. These articles are printed in a special section, “Surveys in Operations Research and Management Science”. Submissions can focus on theory or applications of OR/MS and can be of several types, including but not limited to: 1. Results that are considered standards by experts in the community but which have not been documented in textbooks; 2. Standard results which have been, in some way, streamlined, such as, for example, new proof techniques leading to more elegant derivations of known results; 3. New developments in methodology or new application areas ('hot topics'). A survey should be critical with respect to the existing knowledge and should focus on computational and algorithmic aspects. The journal publishes focused issues on topics of interest related to its editorial mission. Such issues typically contain between six and twelve articles. They are put together within an eighteen-month period under the responsibility of one or several guest editors. Prospective guest editors are encouraged to contact the Editor-in-chief.Full... reproducible results are core for papers accepted for publication in the journal. Hence, authors should grant full access to the data and codes underlying their work. Further information on different possibilities to accomplish this can be found at https://www.scienced... Best Paper AwardEvery year, the journal’s editors select one paper to receive the “CAOR Annual Best Paper Award”. The paper will be made free-to-view for one year, thus receiving privileged visibility. The winning and the runner-up papers will also be highlighted on the website in the “Editor’s Choice” section, staying there for one year.Further Information for authorsIt is the responsibility of the authors to ensure that the submitted manuscripts are written using proper English, that possible grammatical or spelling errors are eliminated and that the text conforms to correct scientific English. Submissions that do not satisfy these criteria may be rejected without being sent to reviewers.All full-length research papers published in the journal must demonstrate constructive algorithmic complexity and extensive numerical experiments. Numerical illustrations (examples) are not sufficient: the numerical experiments must have a scientific value of their own, particularly with comparisons to other approaches. The use of real-world data is also valued. In CAOR, (meta)Heuristics other than well-established algorithms such as evolutionary algorithms or ant colony optimization must be described in metaphor-free language. This is a way to ensure that they are immediately comparable to existing algorithms. The Harvard style is adopted in the journal for the bibliography. Authors should consider this while preparing their manuscripts, especially when preparing tables and charts involving bibliography references.The highly innovative contributions targeted by the journal prevent it from endorsing papers that present long and unsolvable formulations for variants or extensions of existing problems and then resort to a well-established approximate method to find approximate solutions. CAOR does not endorse papers emerging in the context of warfare activities planning. The authors working in that and related fields should look for specialized journals.- ISSN: 0305-0548
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 OptimizationDiscrete OptimizationProducti... Manufacturing and LogisticsStochastics and StatisticsDecision SupportComputational Intelligence and Information ManagementInterfaces with Other Disciplines- ISSN: 0377-2217
Research Policy
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...- ISSN: 0048-7333
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
Computers in Industry
An International, Application Oriented Research JournalThe aim of Computers in Industry is to publish original, high-quality, application-oriented research papers that:Show new trends in and options for the use of Information and Communication Technology in industryLink or integrate different technology fields in the broad area of computer applications for industryLink or integrate different application areas of ICT in industry.General topics covered include the following areas:The unique application of ICT in business processes such as design, engineering, manufacturing, purchasing, physical distribution, production management and supply chain management. This is the main thrust of the journal. It includes research in integration of business process support, such as in enterprise modelling, ERP, EDM. The industrial use of ICT in knowledge intensive fields such as quality control, logistics, engineering data management, and product documentation will certainly be considered. Demonstration of enabling capabilities of new or existing technologies such as hard real time systems, knowledge engineering, applied fuzzy logic, collaborative work systems, and intelligence agents are also welcomed. Papers solely focusing on ICT or manufacturing processes may be considered out of scope.A continuous quality policy, based on strict peer reviewing shall ensure that published articles are:Technologically outstanding and front-end Application-oriented with a generalised message Representative for research at an international level- ISSN: 0166-3615
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
Journal of Economic Behavior & Organization
The Journal of Economic Behavior and Organization is devoted to theoretical and empirical research concerning economic decision, organization and behavior and to economic change in all its aspects. Its specific purposes are to foster an improved understanding of how human cognitive, computational and informational characteristics influence the working of economic organizations and market economies and how an economy's structural features lead to various types of micro and macro behavior, to changing patterns of development and to institutional evolution. Research with these purposes that explore the interrelations of economics with other disciplines such as biology, psychology, law, anthropology, sociology, finance, marketing, political science, and mathematics is particularly welcome. The journal is eclectic as to research method; systematic observation and careful description, simulation modeling and mathematical analysis are all within its purview. Empirical work, including controlled laboratory experimentation that probes close to the core of the issues in theoretical dispute is encouraged.- ISSN: 0167-2681
