Information science and management general journals | Elsevier

Data Science and Management

ISSN: 2096-739X

Data Science and Management (DSM) is a peer-reviewed open access journal for original research articles, review articles and technical reports related to all aspects of data science and its application in the field of business, economics, finance, operations, engineering, healthcare, transportation, agriculture, energy, environment, sports, and social management. DSM was launched in 2021, and published quarterly by Xi'an Jiaotong University.Current areas of interest include, but are not limited to:Machine learning and intelligent managementData mining and business analyticsData statistics and decision makingIntelligent computing and algorithmsData-driven management decisionsData-based policy evaluationBusiness intelligenceBusiness data scienceDigital economyData quality and data privacyData and knowledge managementEnterprise digital managementCyberspace managementData security managementSmart city managementSmart society managementDigital engineering managementData visualizationData-driven intelligent system managementData science applicationsAbout the Journal: The journal has a distinguished editorial board with extensive academic qualifications, ensuring that the journal maintains high scientific standards and has a broad coverage. DSM seeks to publish original, high quality, peer-reviewed papers including original research articles and reviews as well as technical reports. Submission would be encouraged on all aspects of data science and its application in the field of business, economics, finance, operations, engineering, healthcare, transportation, agriculture, energy, environment, sports, and social management. The aim of this journal is to become a highly respected and trusted resource of leading knowledge in this field and to promote worldwide academic exchange. DSM is going to be an interdisciplinary forum opened to all professionals in the world.Editorial Board

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Data Science and Management

ISSN: 2666-7649

Data Science and Management (DSM) is a peer-reviewed open access journal for original research articles, review articles and technical reports related to all aspects of data science and its application in the field of business, economics, finance, operations, engineering, healthcare, transportation, agriculture, energy, environment, sports, and social management. DSM was launched in 2021, and published quarterly by Xi'an Jiaotong University.Current areas of interest include, but are not limited to:Machine learning and intelligent managementData mining and business analyticsData statistics and decision makingIntelligent computing and algorithmsData-driven management decisionsData-based policy evaluationBusiness intelligenceBusiness data scienceDigital economyData quality and data privacyData and knowledge managementEnterprise digital managementCyberspace managementData security managementSmart city managementSmart society managementDigital engineering managementData visualizationData-driven intelligent system managementData science applicationsAbout the Journal: The journal has a distinguished editorial board with extensive academic qualifications, ensuring that the journal maintains high scientific standards and has a broad coverage. DSM seeks to publish original, high quality, peer-reviewed papers including original research articles and reviews as well as technical reports. Submission would be encouraged on all aspects of data science and its application in the field of business, economics, finance, operations, engineering, healthcare, transportation, agriculture, energy, environment, sports, and social management. The aim of this journal is to become a highly respected and trusted resource of leading knowledge in this field and to promote worldwide academic exchange. DSM is going to be an interdisciplinary forum opened to all professionals in the world.Editorial Board

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Data and Information Management

ISSN: 2543-9251

Data and Information Management (DIM) is an interdisciplinary, double-blind peer-reviewed journal that publishes high-quality original research papers in the field of data and information management. It aims to advance theoretical and/or methodological development related to data and information across various domains, including but not limited to business, academia, government, health, education, finance, marketing, and the Internet. DIM encourages and prioritizes submissions from a wide range of disciplines, such as library and information science, information systems, computer science, management, communication, and other related fields. The primary mission of DIM is to drive effective management of diverse data and information through cutting-edge research, ultimately fostering social development and enhancing human well-being.More specifically, DIM is particularly interested in the following types of submissions (Authors are also encouraged to provide specific details on these points in the cover letter):Manuscripts with a clear interdisciplinary nature, intended to appeal to readership from at least 2-3 different disciplines, and must include the discipline of Library and Information Science.Manuscripts that are topical, addressing important contemporary issues and capable of generating broad academic interest. Manuscripts containing unique and large-scale datasets, uncovering hidden patterns, associations and correlations, thereby providing profound insights and understanding for both academia and industry. Manuscripts demonstrating strong theoretical or methodological contributions, alongside rigorous methods and results, are preferred. The journal does not accept purely descriptive studies or papers solely focused on practical applications. Review articles should be critical, comprehensive and in-depth, integrating prior research and providing recommendations for future studies in the field.While DIM operates as a gold open-access (OA) journal, it imposes no fees on authors, and the Article Publishing Charge (APC) will be covered by Wuhan University. The articles published in DIM can be freely accessed, shared, downloaded, and disseminated, thereby enhancing the visibility and reach of research work featured on DIM and contributing to the academic influence of our authors.

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Information Processing & Management

ISSN: 0306-4573
5 Year impact factor: 7.3
Impact factor: 7.4

This journal is ranked by The Chartered Association of Business Schools' Academic Journal Guide, Australian Business Deans Council, Chinese Academy of Sciences (CAS), China Computer Federation (CCF), BFI (Denmark), Computing Research & Education (CORE) Journal Ranking, The Publication Forum (Finland), Science Citation Index Expanded, Social Sciences Citation Index, Scopus, and SCImago Journal Rank (SJR).Information Processing and Management publishes cutting-edge original research at the intersection of computing and information science concerning theory, methods, or applications in a range of domains, including but not limited to advertising, business, health, information science, information technology marketing, and social computing.The journal aims to serve the interests of primary researchers but also practitioners in furthering knowledge at the intersection of computing and information science by providing an effective forum for the timely dissemination of advanced and topical issues. The journal is especially interested in original research articles, research survey articles, research method articles, and articles addressing critical applications of research.Specifically, the journal is interested in four types of manuscripts, which are:Research manuscripts addressing topics at the intersection of computer and information science.Methods manuscripts focusing on the application of novel methods at the intersection of computer and information science.Review manuscripts assessing, in a critical and in-depth manner, a broad trend at the intersection of computer and information science, providing integration of the prior research, and recommendations for further work in the area.Critical application manuscripts concerning system design research at the intersection of computer and information science.

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Information and Organization

ISSN: 1471-7727
5 Year impact factor: 9.9
Impact factor: 5.7

Advances in information and communication technologies are associated with a wide and increasing range of social consequences, which are experienced by individuals, work groups, organizations, interorganizational networks, and societies at large. Understanding the relationships between communication, digital technologies and organizations is an increasingly important and urgent societal and scholarly concern in many disciplinary fields.Information and Organization seeks to publish original articles on the relationships between digital technologies, communication, and organizations. It seeks a scholarly understanding that is based on empirical research and builds novel theoretical contributions. A particular focus of Information and Organization is to publish qualitative and interpretive research which adopts case studies, ethnography and in-depth longitudinal empirical studies, including critical theory and science and technology studies.Papers that provoke critical thinking on important subjects are welcomed, including articles that focus on research impact and contributions to knowledge in our special section (RICK). The aim is to provide a forum that brings together innovative, reflective, and rigorous scholarship while being relevant for practice.Of special interest are contributions on the social construction of information technologies, the implications of digital technologies for innovation and organizational change, alternative organizational designs such as virtual organizations and ecosystems, ICT's for institutional and societal change, global strategy and digitalization, data driven organizations and changes in work, ethics of digital technologies and data governance. The journal seeks contributions from fields such as information systems, organization theory, history and philosophy of science and technology, practice theory, institutional theory, strategy, and communication studies.

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International Information and Library Review

ISSN: 1057-2317

For more than twenty years, the International Information and Library Review has been welcomed by information scientists, librarians and other scholars and practitioners all over the world for its timely articles on research and development in international and comparative librarianship, information sciences, information policy and information ethics, digital values and digital libraries. Contributions to the journal have come from staff or members of many different international organizations, including the United Nations, UNESCO, IFLA, and INTAMEL, and from library and information scientists in academia, government, industry, and other organizations.The peer-reviewed journal focuses on three broad areas: Policy and ethical issues, including digital values, around the world. The ways in which information technologies and policies are used to help in decision-making, problem solving and improving the quality of people's lives. Designing and implementing information systems and services in libraries and other organizations around the world.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/622845/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

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International Journal of Information Management

ISSN: 0268-4012
5 Year impact factor: 19.2
Impact factor: 20.1

The Journal for Information ProfessionalsThe 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 contemporary issues for all those involved in information management and which make a contribution to advancing information management theory and practice.Information is critical for the survival and growth of organisations and people. The challenge for Information management is now less about managing activities that collect, store and disseminate information. Rather, there is greater focus on managing activities that make changes in patterns of behaviour of customers, people, and organizations, and information that leads to changes in the way people use information to engage in knowledge focussed activities.Information management covers a wide field and we encourage submissions from diverse areas of practice and settings including business, health, education and government.Topics covered include:Aspects of information management in learning organisations, health care (patients as well health workers and managers), business intelligence, security in organizations, social interactions and community development, knowledge management, information design and delivery, information for health care, Information for knowledge creation, legal and regulatory issues, IS-enabled innovations in information, content and knowledge management, philosophical and methodological approaches to information management research, new and emerging agendas for information research and reflective accounts of professional practice.International Journal of Information Management is the companion title to the open access journal International Journal of Information Management Data Insights.In 2002, Elsevier launched Library Connect, a new initiative bringing together many of Elsevier's library-focused efforts. For more information about this initiative and to read or subscribe to the complimentary Library Connect Newsletter, please visit Library Connect

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International Journal of Information Management Data Insights

ISSN: 2667-0968

A companion title to the International Journal of Information Management, IJIM Data Insights is a peer reviewed gold open access journal focusing on empirical evidences for information management using emerging data science methods.Data science is an emerging research methodology that contributes to information management through the influence of data analysis methods borrowed from disciplines like computer science, operations research and statistics. It attempts to extract knowledge and generate inferences by using a variety of methods, processes, algorithms and perspectives to provide actionable insights into a context or problem. The empirical evidences could be extracted from structured, semi-structured or unstructured data and contribute to information management and data driven decision making literature.IJIM Data Insights is interested in publishing state-of-the-art articles which address one or more the following themes and contexts:Empirical studies which use a data-driven approach for contributing towards information management literature.Data science and big data studies surrounding unstructured data analysis like opinion mining, sentiment analysis, text mining, image mining, video analytics and network science generated by individuals, groups, communities and firms.Studies which adopt emerging methods like machine learning and artificial intelligence algorithms for improving decision making and information management are welcome if they provide novel empirical evidences.Case studies on information management which demonstrate theoretical insights based on empirical evidences in an organizational or national setting.Studies in related disciplines in management and social sciences can be published if they contribute to information management and data-based decision making literature adequately.The journal publishes studies that validate theoretical models based on cross-sectional and longitudinal data, experiments, and even qualitative research. However, strength of data analysis for demonstrating findings objectively would be very critical for these studies to get published.Studies surrounding emerging technologies like blockchain, IoT and others which use machine learning and data science are welcome, if they are connected with information management and data driven decision making.Case studies which demonstrate a practical application of the methods and practices of projects using data science and information management would also be welcome.

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Journals in Information science and management general

Data Science and Management

Data Science and Management

Data and Information Management

Information Processing & Management

Information and Organization

International Information and Library Review

International Journal of Information Management

International Journal of Information Management Data Insights