Journals in Decision sciences

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Research Policy

ISSN: 0048-7333
5 Year impact factor: 10.4
Impact factor: 7.2

Policy, management and economic studies of science, technology and innovation Research 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.elsevier.com/research-policy/policies/rp-faqs Aims 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.editorialmanager.com/RESPOL/default.aspx 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/Technology/Science; Entrepreneurs/Entrepreneurship; Evolutionary or (neo-)Schumpeterian Economics; Geography of Innovation - e.g. industrial clusters; Indicators - science, technology, R&D, innovation etc.; Innovation and Sustainability; Innovation Management/Organization/Policy/Strategy; Innovation Systems - national, regional, sectoral, technological; Knowledge - creation/production, diffusion/transfer/exchange, adoption/exploitation 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/Strategy; Research Policy; Resource-Based View of the Firm - competence/capability (e.g. absorptive, core, dynamic); Science Policy; Sociotechnical Paradigms/Regimes; Technological Paradigms/Trajectories; Technological problem-solving; Technology Management/Policy/Strategy.

Research Policy: X

ISSN: 2590-1451

Research Policy: X was the open access mirror journal of Research Policy. Research 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. 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://ees.elsevier.com/respol/ 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/Technology/Science; Entrepreneurs/Entrepreneurship; Evolutionary or (neo-)Schumpeterian Economics; Geography of Innovation - e.g. industrial clusters; Indicators - science, technology, R&D, innovation etc.; Innovation and Sustainability; Innovation Management/Organization/Policy/Strategy; Innovation Systems - national, regional, sectoral, technological; Knowledge - creation/production, diffusion/transfer/exchange, adoption/exploitation 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/Strategy; Research Policy; Resource-Based View of the Firm - competence/capability (e.g. absorptive, core, dynamic); Science Policy; Sociotechnical Paradigms/Regimes; Technological Paradigms/Trajectories; Technological problem-solving; Technology Management/Policy/Strategy.

Research in Social Stratification and Mobility

ISSN: 0276-5624
5 Year impact factor: 3.8
Impact factor: 5

The Official Journal of the ISA RC28 on Social Stratification and Mobility The study of social inequality is and has been one of the central preoccupations of social scientists. Research in Social Stratification and Mobility is dedicated to publishing the highest, most innovative research on issues of social inequality from a broad diversity of theoretical and methodological perspectives. The journal is also dedicated to cutting edge summaries of prior research and fruitful exchanges that will stimulate future research on issues of social inequality.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 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 Center

Research in Social Stratification and Mobility

Socio-Economic Planning Sciences

ISSN: 0038-0121
5 Year impact factor: 6
Impact factor: 6.1

The International Journal of Public Sector Decision-Making During 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-Economic 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/quantitative 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-appropriate sources. Socio-Economic 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/presentation (i.e. logical flow), and writing quality. Representative 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.

SoftwareX

ISSN: 2352-7110
5 Year impact factor: 3.3
Impact factor: 3.4

SoftwareX aims to acknowledge the impact of software on today's research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain. Domain independent underpinning software tools and technologies have for too long been underrepresented in academic literature. We wish to ensure that these software items get academic recognition and welcome submissions of software tools and services that may otherwise not have a publication home. Examples include mathematical or image processing libraries or methodologies, visualization tools, data management, etcetera. Through the quality of the description and of the (potential) impact of the software deposited we aim that significant reuse will occur both within and without the original developing domain and therefore encourage consideration of this reuse factor when submitting and in the language used within the description. Submissions to SoftwareX consist of two major parts: A short descriptive paper of 3000-word limit; An open-source software distribution with support material. Submissions are accepted only if the code/software has been made freely available. To submit please follow the Original Software Publication guidelines. For any questions contact us at: [email protected] All software publications published in SoftwareX are hosted on a repository on GitHub. A copy of the 'accepted for publication' version of software/code will be copied to the journal's GitHub repository for archiving purposes. Go to the SoftwareX GitHub repository

Stochastic Processes and their Applications

ISSN: 0304-4149
5 Year impact factor: 1.5
Impact factor: 1.4

An official journal of the Bernoulli Society for Mathematical Statistics and Probability. Stochastic Processes and their Applications is a mathematics journal that publishes papers on the theory and applications of stochastic processes. It is concerned with the following: concepts and techniques mathematically challenging questions in sciences and engineering. characterization, structural properties, limit theorems inference control of stochastic processes. The journal is exacting and scholarly in its standards. Every effort is made to promote innovation, vitality, and communication between disciplines. Submissions are anonymously peer-reviewed. 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. If you require any further information or help, please visit our Support Center.

Sustainability Analytics and Modeling

ISSN: 2667-2596

Tackling global challenges with analytics, mathematical modeling and operations researchPublished in collaboration with the International Federation of Operational Research Societies (IFORS) Sustainability Analytics and Modeling publishes articles that develop and apply quantitative methods of analytics and operations research (OR) to take on global sustainability challenges. These challenges are many and broad in scope. They involve poverty, hunger, health, well-being, education, equality, water, sanitation, energy, economies, industry, infrastructure systems, smart communities, consumption and production, climate, peace, and justice, among other topics, all of which are targeted by the 17 sustainable development goals (SDGs) of the United Nations (https://www.un.org/development/desa/disabilities/envision2030.html). Published papers contribute through quantitative studies that create deeper understanding of the mechanisms that cause our global sustainability challenges, provide situational awareness or future predictions, uncover interconnections and their role in creating the problem, and develop potential solutions. Papers that develop policy recommendations from quantitative investigation are also encouraged. Papers published in Sustainability Analytics and Modeling contribute through high-quality mathematical modeling, optimization, data analysis, and other analytical approaches to contending with sustainability challenges. Typical methods include (but are not restricted to): optimization (deterministic, stochastic, multi-level, dynamic, multi-criteria, multi-player,...), mathematical modeling, simulation, forecasting, statistical analysis, and machine learning. Case studies and numerical experiments, when possible, should be based on real world data. Interdisciplinary submissions, from researchers or practitioners, with a quantitative focus are welcome. All papers should include a statement of the specific quantitative methods that are developed or employed and the challenge or challenges they address.

Sustainable Futures

ISSN: 2666-1888
5 Year impact factor: 5.4
Impact factor: 5.5

Sustainable Futures: is a journal focused on the intersection of sustainability, environment and technology from various disciplines in social sciences, and their larger implications for corporation, government, education institutions, regions and society both at present and in the future. It provides an advanced platform for studies related to sustainability and sustainable development in society, economics, environment, and culture. The scope of the journal is broad and encourages interdisciplinary research, as well as welcoming theoretical and practical research from all methodological approaches Subject areas include, but are not limited to: Role of emerging technologies in sustainable management, Innovation, Water and food security, Climate, environment and weather, Energy consumption and usage, Life Cycle management, Economic social growth, Environmental economics and circular economy, Population explosion and urbanization, Growth knowledge management, Marketing and Environmental Attitudes, Corporate sustainability and corporate social responsibility, Sustainable products, services and operations, Measuring, forecasting and monitoring sustainability related issues, Governance, legislation, and policy for sustainability, Green Supply Chain and Environmentally Preferable Purchasing, Sustainable Urban and Rural Development, Sustainable Transportation, Sustainable hospitality management and Ecotourism,

Sustainable Manufacturing and Service Economics

ISSN: 2667-3444

SMSE is an open access only journal that publishes innovative research results to advance the theory and application of manufacturing and service operations including after-sales management, telecommunication, energy, health-care and logistics and transportation. A particular focus is on the design, evaluation and control of sustainable technologies, management strategies and practices, and new business models when considering innovations in operations and supply chain management. The journal welcomes any research methodology including but not limited to analytical, computational, empirical, and experimental approaches and all manuscript types including reviews, case studies and practice-based research results, conceptual, and algorithmic contributions as long as they contain a new and significant advancement or application of the state-of-the-art in sustainable operations management.

Sustainable Manufacturing and Service Economics

Sustainable Operations and Computers

ISSN: 2666-4127

Sustainable Operations and Computers is an interdisciplinary journal focusing on topics that manage the balances, tradeoffs and synergies associated with the integration of economics, environment and social perspectives into traditional decision-making processes. The journal is particularly interested in outstanding theoretical and practical developments that study, revise, revisit and enhance traditional strategic, tactical and operational decision problems. It aims to generate a new and extended body of knowledge to address sustainable organizational needs and environment policies. Subjects of interest include, but are not limited to: Green & responsible operation and sustainable development such as low carbon management and ESG; Reverse logistics and closed-loop supply chain management; Organization and supply chain resilience management and evaluation; Computer-based research such as system simulation and emerging technology applications in sustainable operations. Sustainable Operations and Computers disseminates knowledge on the theoretical and applied innovation in sustainable operations, including system modeling and optimization, decision analysis and support, and computer-based simulation. Papers using computer-based research methods are especially welcome.