Top 10 Decision Sciences Journals In The World 2024
Are you looking for best decision sciences journals globally? Then you are in the right place.
Here, we provide an leading decision sciences journals list, and peer-reviewed, Top-ranked journals.
The list of popular decision sciences journals worldwide depends on various ranking factors, such as a journal's impact factor, CiteScore, H-index, peer review process, influence in the field of decision sciences, and overall reputation.
For the top scholarly decision sciences journals, see the list below.
The Lancet Digital Health publishes important, innovative, and practice-changing research on any topic connected with digital technology in clinical medicine, public health, and global health. We serve the digital health, clinical, and wider health communities by promoting high-quality science and supporting the ethical use of technologies and data in practice.
The journal’s open access content crosses subject boundaries, building bridges between health professionals and researchers. By bringing together the most important advances in this multidisciplinary field, The Lancet Digital Health is the most prominent more...
The International Journal of Information Management (IJIM) is an international, peer-reviewed journal which aims to bring its readers the very best analysis and discussion in the developing field of information management. The journal: • keeps the reader briefed with major papers, reports and reviews • is topical: Viewpoint articles and other regular features including Research Notes, Case Studies and a Reviews section help keep the reader up to date with current issues. • focusses on high quality papers that address more...
Communications in Transportation Research publishes peer-reviewed high-quality research representing important advances of significance to emerging transport systems. The mission is to provide fair, fast, and expert peer review to authors and insightful theories, impactful advances, and interesting discoveries to readers. We welcome submissions of significant and general topics, of inter-disciplinary nature (transport, civil, control, artificial intelligence, social science, psychological science, medical services, etc.), of complex and inter-related system of systems, of strong evidence of data strength, of visionary analysis and forecasts more...
The IEEE IoT Journal (IoT-J), launched in 2014 (“Genesis of the IoT-J“), publishes papers on the latest advances, as well as review articles, on the various aspects of IoT. Topics include IoT system architecture, IoT enabling technologies, IoT communication and networking protocols, IoT services and applications, and the social implications of IoT. Examples are IoT demands, impacts, and implications on sensors technologies, big data management, and future internet design for various IoT use cases, such as smart cities, smart environments, more...
Transportation Research Part E: Logistics and Transportation Review publishes informative and high quality articles drawn from across the spectrum of logistics and transportation research. Subjects include, but are not limited to:
Transport economics including cost and production functions, capacity, demand, pricing, externalities, modal studies;
Transport infrastructure and investment appraisal;
Evaluation of public policies related to transportation;
Empirical and analytical studies of logistics management practices and performance;
Logistics and operations models, especially with applications;
Logistics and supply-chain management topics.
Part E's aims and scope are complementary to Transportation Research more...
The editorial objectives of the Journal of Business Logistics are to advance knowledge and science and to stimulate greater thought and effort in the fields of logistics and supply chain management by providing readers with:
new and helpful information;
new logistics and supply chain management theory or techniques;
research generalizations about logistics and supply chain management thought and practice;
creative views and syntheses of dispersed concepts in logistics and supply chain management;
articles in subject areas which have significant current impact on more...
International Journal of Operations & Production Management's (IJOPM) mission is to publish leading-edge, innovative research that has the potential to significantly advance the field of Operations and Supply Chain Management, theoretically and practically. Drawing on the experiences of both manufacturing and service industry sectors, in both private and public settings, the journal has become a widely respected resource in a complex and increasingly important field in business management.
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Scientific Data is a peer-reviewed, open-access journal for descriptions of scientifically valuable datasets, and research that advances the sharing and reuse of scientific data. We aim to promote wider data sharing and reuse, and to credit those that share. Scientific Data primarily publishes Data Descriptors, a new type of publication that provides detailed descriptions of research datasets, including the methods used to collect the data and technical analyses supporting the quality of the measurements. Data Descriptors focus on helping others more...
Several types of articles are appropriate for ORM. One type addresses questions about existing quantitative and qualitative methods and research designs currently used by organizational researchers and may involve a comparison of alternative methods. Articles of this nature should focus on the relative strengths and weaknesses of the analytical technique(s) presented. A second type demonstrates how refinements to existing quantitative or qualitative methods might lead to advances in researchers' ability to test and propose theory. For submissions of this type, more...
Big Data & Society (BD&S) is an Open Access peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities and computing and their intersections with the arts and natural sciences about the implications of Big Data for societies.
The Journal's key purpose is to provide a space for connecting debates about the emerging field of Big Data practices and how they are reconfiguring academic, social, industry, business and government relations, expertise, methods, concepts and knowledge.
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