Journals in Information systems decision support systems

Computers in Industry

ISSN: 0166-3615
5 Year impact factor: 9.3
Impact factor: 8.2

An International, Application Oriented Research JournalThe aim of Computers in Industry is to publish original, high-quality, application-oriented research papers that:• Show new trends in and options for the use of Information and Communication Technology in industry; • Link or integrate different technology fields in the broad area of computer applications for industry; • Link or integrate different application areas of ICT in industry.General topics covered include the following areas:• The unique application of ICT in business processes such as design, engineering, manufacturing, purchasing, physical distribution, production management and supply chain management. This is the main thrust of the journal. It includes research in integration of business process support, such as in enterprise modelling, ERP, EDM. • The industrial use of ICT in knowledge intensive fields such as quality control, logistics, engineering data management, and product documentation will certainly be considered. • Demonstration of enabling capabilities of new or existing technologies such as hard real time systems, knowledge engineering, applied fuzzy logic, collaborative work systems, and intelligence agents are also welcomed. • Papers solely focusing on ICT or manufacturing processes may be considered out of scope.A continuous quality policy, based on strict peer reviewing shall ensure that published articles are:- Technologically outstanding and front-end - Application-oriented with a generalised message - Representative for research at an international levelBenefits 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

Decision Support Systems

ISSN: 0167-9236
5 Year impact factor: 7.5
Impact factor: 6.7

and Electronic CommerceThe common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs). Manuscripts may draw from diverse methods and methodologies, including those from decision theory, economics, econometrics, statistics, computer supported cooperative work, data base management, linguistics, management science, mathematical modeling, operations management, cognitive science, psychology, user interface management, and others. However, a manuscript focused on direct contributions to any of these related areas should be submitted to an outlet appropriate to the specific area.Examples of research topics that would be appropriate for Decision Support Systems include the following:1. DSS Foundations e.g. principles, concepts, and theories of enhanced decision making; formal languages and research methods enabling improvements in decision making. It is important that theory validation be carefully addressed.2. DSS Functionality e.g. methods, tools, and techniques for developing thefunctional aspects of enhanced decision making; solver, model, and/or data management in DSSs; rule formulation and management in DSSs; DSS development and use in computer supported cooperative work, negotiation, research and product.3. DSS Interfaces e.g. methods, tools, and techniques for designing and developing DSS interfaces; development, management, and presentation of knowledge in a DSS; coordination of a DSS's interface with its functionality.4. DSS Implementation - experiences in DSS development and utilization; DSS management and updating; DSS instruction/training. A critical consideration must be how specific experiences provide more general implications.5. DSS Evaluation and Impact e.g. evaluation metrics and processes; DSS impact on decision makers, organizational processes and performance.

Information & Management

ISSN: 0378-7206
5 Year impact factor: 10.2
Impact factor: 8.2

The International Journal of Information Systems Theories and ApplicationsInformation & Management serves researchers in the information systems field and managers, professionals, administrators and senior executives of organizations which design, implement and manage Information Systems Applications. The major aims are:• To collect and disseminate information on new and advanced developments in the field of information systems;• To provide material for training and education in information systems;• To encourage further progress in information systems methodology and applications;• To cover the range of information system development and usage in their use of managerial policies, strategies, and activities for business, public administration, and international organizations.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

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

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.

The Journal of Strategic Information Systems

ISSN: 0963-8687
5 Year impact factor: 18.9
Impact factor: 8.7

The Journal of Strategic Information Systems focuses on the strategic management, business and organizational issues associated with the introduction and utilization of information systems, and considers these issues in a global context. The emphasis is on the incorporation of IT into organizations' strategic thinking, strategy alignment, organizational arrangements and management of change issues. The journal publishes research from around the world which:• investigate the changing nature of business in the context of emerging IT • discuss the justification and evaluation of information systems • discuss the organizational implications of IT • consider how organizations have been transformed as a result of the astute management and application of ITA transdisciplinary, critical approach/perspective is welcome.Topics covered include: • organizational transformation on the back of IT • information systems/business strategy alignment • inter-organizational systems • global issues and cross-cultural issues • the impact and significance of emerging IT

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health