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Journals in Social sciences and humanities

  • Computers & Operations Research

    • ISSN: 0305-0548
    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.
  • Journal of Corporate Finance

    • ISSN: 0929-1199
    The Journal of Corporate Finance aims to publish high quality, original manuscripts or shorter format papers in both theoretical and empirical corporate finance. Areas of interest include, but are not limited to: financial structure, governance, product markets, payout, labor, innovation, risk management, financial contracting, and international finance. Papers at the intersection of corporate finance and macroeconomics, asset pricing, household, behavioral, fintech and blockchain, law, financial intermediation, or microstructure also are encouraged.The new Editorial Board is committed to a timely and constructive reviewing process and seeks to streamline the editorial process by implementing an active desk-rejection policy. We anticipate that a non-trivial fraction of papers will be rejected without a detailed reviewing process. The policy is intended to minimize the burden on reviewers as well as create a more efficient process for authors. Desk-rejected articles will NOT be refunded the submission fee. In the same spirit, we expect most papers to converge to a decision within two rounds.Editors and AEs will recuse themselves from handling submissions from authors at the same institution, current or recent past co-authors, former PhD students (in case the editor was the main advisor), former PhD advisors, close friendships, relatives, and papers that criticize or closely compete with an editor's work. Any direct or indirect financial interest also is considered a conflict of interest. If any editor or AE feel that there is likely to be a perception of a conflict of interest in relation to their handling of a submission, they will inform the Managing Editors. The above conflict of interest policy also will be applied to special issues and journal sponsored conference decisions.
  • Operations Research, Data Analytics and Logistics

    • ISSN: 2211-6923
    Healthcare Operations – Humanitarian Logistics – Medical Decision Support - Pharmaceutical OperationsOperations Research, Data Analytics, and Logistics (ORDAL) focuses on understanding and implementing better healthcare for society using quantitative methodology. The core application area is healthcare in the broadest sense. The journal focuses primarily on Healthcare Operations, Humanitarian Logistics, Medical Decision Support, and Pharmaceutical Operations. ORDAL publishes high-quality quantitative approaches for decision-making and decision support in healthcare from researchers and practitioners. ORDAL encourages contributions related to typical problem areas of healthcare, such as acute care, hospital care, specialist care, primary care, home care, long-term care, emergency care, humanitarian care, etc. Contributions can focus on the whole value chain in healthcare, tackling core and support processes. For instance, topics of interest are capacity planning, layout planning, operating room planning, surgical scheduling, patient logistics, appointment scheduling, medical decision-making, etc. ORDAL welcomes contributions, if suitable to the journal’s objectives, in health informatics, health decision support systems, health analytics, health policy, health management, health economics, population health etc. ORDAL stimulates contributions advancing the current state-of-the-art and applying quantitive methodology, such as mathematical programming, stochastic optimization, simulation, data science, artificial intelligence, machine learning, etc., to relevant healthcare-related problems. ORDAL inspires using real-world data in case studies and/or numerical experiments. Ideally, the source data is publicly available.In addition to original research articles, ORDAL publishes, upon reasonable request to the Editor-in-Chief, papers in the following two categories:1) Review papers: ORDAL provides maximum benefit to researchers and practitioners who are genuinely interested in operations research, data analytics, and logistics for better healthcare. Review papers should focus on emerging topics in healthcare and are by invitation only.2) Special Issues (SIs): ORDAL publishes special issues on topics of interest related to its editorial mission. SIs typically contain between six and twelve papers and have a dedicated focus area. One or several guest editors, experts in the field, are responsible for the SI. However, the final decision on all papers will be made by the Editor-in-Chief. Potential guest editors should send a prospective call for papers and informative CVs for the guest editors. Sis should focus on emerging topics in healthcare and are by invitation only.
  • Journal of Housing Economics

    • ISSN: 1051-1377
    The Journal of Housing Economics provides a focal point for the publication of economic research related to housing and encourages papers that bring to bear careful analytical technique on important housing-related questions. The journal covers the broad spectrum of topics and approaches that constitute housing economics, including analysis of important public policy issues.Research Areas Include:• Housing markets • Public policy • Real estate • Finance • International studies • Spatial models • Demographics and mobility • Law and regulation
  • Operations Research, Data Analytics and Logistics

    • ISSN: 3050-7847
    Healthcare Operations – Humanitarian Logistics – Medical Decision Support - Pharmaceutical OperationsOperations Research, Data Analytics, and Logistics (ORDAL) focuses on understanding and implementing better healthcare for society using quantitative methodology. The core application area is healthcare in the broadest sense. The journal focuses primarily on Healthcare Operations, Humanitarian Logistics, Medical Decision Support, and Pharmaceutical Operations. ORDAL publishes high-quality quantitative approaches for decision-making and decision support in healthcare from researchers and practitioners. ORDAL encourages contributions related to typical problem areas of healthcare, such as acute care, hospital care, specialist care, primary care, home care, long-term care, emergency care, humanitarian care, etc. Contributions can focus on the whole value chain in healthcare, tackling core and support processes. For instance, topics of interest are capacity planning, layout planning, operating room planning, surgical scheduling, patient logistics, appointment scheduling, medical decision-making, etc. ORDAL welcomes contributions, if suitable to the journal’s objectives, in health informatics, health decision support systems, health analytics, health policy, health management, health economics, population health etc. ORDAL stimulates contributions advancing the current state-of-the-art and applying quantitive methodology, such as mathematical programming, stochastic optimization, simulation, data science, artificial intelligence, machine learning, etc., to relevant healthcare-related problems. ORDAL inspires using real-world data in case studies and/or numerical experiments. Ideally, the source data is publicly available.In addition to original research articles, ORDAL publishes, upon reasonable request to the Editor-in-Chief, papers in the following two categories:1) Review papers: ORDAL provides maximum benefit to researchers and practitioners who are genuinely interested in operations research, data analytics, and logistics for better healthcare. Review papers should focus on emerging topics in healthcare and are by invitation only.2) Special Issues (SIs): ORDAL publishes special issues on topics of interest related to its editorial mission. SIs typically contain between six and twelve papers and have a dedicated focus area. One or several guest editors, experts in the field, are responsible for the SI. However, the final decision on all papers will be made by the Editor-in-Chief. Potential guest editors should send a prospective call for papers and informative CVs for the guest editors. Sis should focus on emerging topics in healthcare and are by invitation only.
  • Technology in Society

    • ISSN: 0160-791X
    Technology in Society is an international journal devoted to the global discourse at the intersection of technological change and the social, economic, business and philosophical transformation of the world around around us. The goal of the journal is to provide scholarship that enables decision-makers to thoughtfully and intentionally engage in the decisions that shape this dynamic. The common thread across these fields is the role of technology in society across economic, political and cultural dynamics. Scholarly work in Technology in Society focuses on the social forces that shape technological decisions and the choices that are open to society with respect to technology uses. This includes scholarly and theoretical approaches (history and philosophy of science and technology, technology forecasting, economic growth, and policy, ethics), applied approaches (business innovation, technology management, legal and engineering) and approaches that are from a development perspective (technology transfer, technology assessment and economic development). Additional information regarding the journal's aims and scope related to particular topics are set-out in Technology in Society Briefings, which can be accessed via our Special Issues and Article Collections.
  • Linguistics and Education

    • ISSN: 0898-5898
    Linguistics and Education is an international peer-reviewed journal that welcomes submissions from across the world that advance knowledge, theory, or methodology at the intersections of linguistics and education. The journal is concerned with the role played by language and other communicative/semiot... systems in mediating opportunities for learning and participation in a globalized world. Research published in the journal engages with the complexities and changing realities of educational contexts and practices, focusing on all levels of formal education, as well as a wide variety of informal learning contexts throughout the lifespan and across modes, genres and technologies.Linguis... and Education encourages submissions that incorporate theories and methodologies from all traditions of linguistics and language study to explore any aspect of education. Areas of study at the intersection of linguistics and education include, but are not limited to: sociolinguistics, discourse analysis, critical discourse analysis, conversation analysis, linguistic anthropology, ethnography of communication, language socialization, narrative studies, gesture/sign/visual forms of communication, social semiotics, literacy studies, language policy, language ideology, functional grammar or text/corpus linguistics.Linguist... and Education is a research-oriented journal. Papers may address practical and policy implications for education but must be built on robust research and have a strong conceptual grounding in their analyses and discussions. Linguistics and Education welcomes papers from across disciplinary and interdisciplinary research traditions that reflect principled application of qualitative, quantitative or mixed methodological paradigms and research designs (e.g. case studies, ethnographic fieldwork, experimental/semi-ex... studies, etc.). Papers must be relevant to an international readership.
  • African Transport Studies

    • ISSN: 2950-1962
    African Transport Studies (AFTRAN) is a refereed international journal. It is the official journal of the Society for African Transport Research. AFTRAN aims at providing useful insights into solving Africa-specific transport-related issues from both theoretical and practical perspectives. It covers all transport modes and all issues in the transport sector.The journal favours papers that report on empirical research findings or engage in critical reflection on transport policies and practices in Africa. Purely literature review papers will only be considered with prior approval of the Editor-in-Chief, and will normally be invited by the AFTRAN editorship.Types of papers:Research papers:Papers reporting original research are the lifeblood of the journal. They should engage with, and build, the prevailing body of literature, and should report research aims, methods, results, and discussion. Research papers should normally be no longer that 8 000 words.Reponses and rejoinders:Discussio... on published research papers, and subsequent rejoinders from the authors, are welcome. Responses and rejoinders should normally be no longer than 1 500 words.Case study papers:Case study papers are research papers that focus on a particular geographical context, often profiling the transport system of an African city or country. Case study papers should normally be no longer that 8 000 words.Editorials:Spe... issue collections of papers should be preceded by editorials, which signal the importance of the special issue theme and how it advances current debates in the field. Editorials should normally be no longer than 2 000 words.Technical notes:Technical notes will often discuss a single methodological issue of particular importance to the African context. The method described may either be novel, or may offer an improvement on an existing method. Technical notes should normally be no longer that 2 000 words.The Society for African Transport Research is an international cooperative society of researchers and practitioners who are either based in Africa or focus their research there. Its primary objectives are to foster and support excellence in transportation research and practice and to stimulate professional interchanges in all aspects and modes of transportation. It organizes an international conference on transportation research every two years.
  • System

    • ISSN: 0346-251X
    An International Journal of Educational Technology and Applied LinguisticsThis international journal is devoted to the applications of educational technology and applied linguistics to problems of foreign language teaching and learning. Attention is paid to the learning and teaching of all languages (e.g. English, Chinese, Arabic, etc.) as second or foreign languages in all countries. System requires articles to have a sound theoretical base and a visible practical application for a broad readership. Review articles are considered for publication if they deal with critical issues in language learning and teaching with significant implications for practice and research.
  • Artificial Intelligence for Transportation

    • ISSN: 3050-8606
    Artificial Intelligence for Transportation is a peer-reviewed journal dedicated to advancing the integration of machine learning (ML) and artificial intelligence (AI) into the field of transportation. The journal focuses on innovative research that leverages AI and ML to address critical challenges in understanding, designing, planning, operating, and managing sustainable, safe, and efficient multimodal transportation systems.Emphasizing the development of AI-empowered solutions, the journal seeks contributions that enhance transportation system performance in terms of safety, efficiency, reliability, equity, accessibility, and environmental sustainability. Interdisciplinary research is highly encouraged, particularly work that integrates cutting-edge AI technologies, such as deep learning, reinforcement learning, large language models, with conventional methodologies, e.g. operations research, probabilistic modeling, etc., to tackle complex transportation challenges.Artificia... Intelligence for Transportation strongly supports open science initiatives, promoting the publication of reproducible research and the sharing of large-scale datasets through online repositories. The journal places special emphasis on studies demonstrating the scalability and transferability of AI-empowered solutions across diverse transportation contexts and geographies.