Journal Guide

Knowledge-Based Systems is an international, interdisciplinary and applications-oriented journal. This journal focuses on systems that use knowledge-based (KB) techniques to support human decision-making, learning and action; emphases the practical significance of such KB-systems; its computer development and usage; covers the implementation of such KB-systems: design process, models and methods, software tools, decision-support mechanisms, user interactions, organizational issues, knowledge acquisition and representation, and system architectures.

This journal's current leading topics are but not limited to:

• Big data techniques and methodologies, data-driven information systems, and knowledge acquisition
• Cognitive interaction and intelligent human interfaces
• Recommender systems and E-service personalization
• Intelligent decision support systems, prediction systems and warning systems
• Computational and artificial intelligence based systems and uncertain information processes
• Swarm intelligence and evolutionary computing
• Knowledge engineering, machine learning-based systems and web semantics

The journal also welcomes papers describing novel applications of knowledge based systems in any human endeavor: ranging from financial technology to engineering to health science or any other domain impacted by Artificial Intelligence technologies and its associated techniques and systems.

To further the state of the art, Knowledge Based Systems now also reviews and publishes software and code through its new http://www.elsevier.com/about/content-innovation/original-software-publicationsOriginal Software Publication format to disseminate these important born digital knowledge elements.

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JSTOR is a not–for–profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive of over one thousand academic journals and other scholarly content. We use information technology and tools to increase productivity and facilitate new forms of scholarship. Welcome.

Benefits to authors
We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our http://www.elsevier.com/wps/find/authorsview.authors/authorservicesauthor services.

Please see our http://www.elsevier.com/wps/find/journaldescription.cws_home/622911/authorinstructionsGuide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com

A leading business science journal with the distinction of being the oldest and longest-running scholarly publication focused specifically on the area of management.

Management Learning is a fully peer-reviewed international quarterly journal that publishes original research and review articles on learning and knowing in management and organizations. Management Learning addresses fundamental issues in management and organizational learning and to advance theory and practice through publication of creative enquiry. The Journal is: inclusive, innovative, international and integrative.

Management Science is a scholarly journal that publishes scientific research on the practice of management. Within our scope are all aspects of management related to strategy, entrepreneurship, innovation, information technology, and organizations as well as all functional areas of business, such as accounting, finance, marketing, and operations. We include studies on organizational, managerial, and individual decision making, from both normative and descriptive perspectives. Our articles are primarily based on the foundational disciplines of economics, mathematics, psychology, sociology, and statistics, and we encourage cross-functional, multidisciplinary research that reflects the diversity of the management science professions. Our interest extends to managerial issues in diverse organizational forms, such as for-profit and nonprofit firms, private and public sector institutions, and formal and informal networks of individuals. We welcome both empirical (field or lab) and theoretical contributions.

M&SOM is the INFORMS journal for operations management (OM). The purpose of the journal is to publish high-impact manuscripts that report relevant research on important problems in operations management. This research can be prescriptive or descriptive, but in either case the intent of the research is to develop enduring knowledge that can lead to more efficient and effective processes for the creation and delivery of goods and services.

This journal is jointly sponsored by Gesellschaft fuer Operations Research (The German OR Society) and the Nederlands Genootschap voor Besliskunde (The Dutch OR Society). It features contributions to mathematics, statistics, and computer science that have special relevance to operations research. The journal publishes theoretical and applied papers with substantial mathematical interest in the areas of mathematical programming, continuous and discrete and combinatorial optimization, stochastic models, Markov decision processes and stochastic programming, dynamic programming, control theory, game theory, graphs and networks, queueing systems, inventory and reliability. The journal also covers mathematical methods and applications in economics, business administration, finance, and engineering. In addition, Mathematical Methods of Operations Research includes a special section devoted to review papers on mathematical methods and models in interesting fields of operations research and related optimization theory

The journal is dedicated to the mathematical foundations of statistical theory. It primarily publishes research papers with complete proofs and, occasionally, survey papers on particular fields of statistics. Papers dealing with applications of statistics are also published if they contain new theoretical developments to the underlying statistical methods. The journal provides an outlet for research in advanced statistical methodology and for studies where such methodology is effectively used or which stimulate its further development.

The international, interdisciplinary journal Mathematical Social Sciences publishes original research articles, survey papers, short notes and book reviews. The journal emphasizes the unity of mathematical modelling in economics, psychology, political sciences, sociology and other social sciences.Topics of particular interest include the fundamental aspects of choice, information, and preferences (decision science) and of interaction (game theory and economic theory), the measurement of utility, welfare and inequality, the formal theories of justice and implementation, voting rules, cooperative games, fair division, cost allocation, bargaining, matching, social networks, and evolutionary and other dynamics models.Papers published by the journal are mathematically rigorous but no bounds, from above or from below, limits their technical level. All mathematical techniques may be used. The articles should be self-contained and readable by social scientists trained in mathematics.Benefits to authorsWe also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com

The primary objective of the journal is to provide a forum for work in finance which expresses economic ideas using formal mathematical reasoning. The work should have real economic content and the mathematical reasoning should be new and correct.

The following institutions are supporting MOR in various ways: The Technion, IBM Research Division, Alfred Renyi Institute, Tel Aviv University, Stanford University, Tokyo Institute of Technology, University of Washington.

Metrika is an international journal in the field of theoretical and applied statistics. The journal publishes original research papers that explore mathematical statistics and statistical methods. Papers emphasize new developments in theoretical statistics and the applicability of proposed statistical methods and results. Each issue of Metrika also contains a section of book reviews.Officially cited as: Metrika

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