Journals in Management information systems

1-10 of 19 results in All results

Asia Pacific Management Review

• ISSN: 1029-3132
• 5 Year impact factor: 4.8
• Impact factor: 5.5

Peer review under responsibility of College of Management, National Cheng Kung University.Asia Pacific Management Review (APMR), peer-reviewed and published quarterly, pursues to publish original and high quality research articles that contribute to build empirical and theoretical understanding for concerning strategy and management aspects in business and activities. Meanwhile, we also seek to publish opinions addressing issues of current concern to managers in regards to within and between the Asia-Pacific region. The covered domains but not limited to, such as accounting, finance, marketing, decision analysis and operation management, human resource management, information management, international business management, logistic and supply chain management, quantitative and research methods, strategic and business management, and tourism management, are suitable for publication in the APMR.

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Computers & Operations Research

• ISSN: 0305-0548
• 5 Year impact factor: 4.5
• Impact factor: 4.1

Now incorporating Surveys in Operations Research & Management ScienceOperations research and computers interact in many scientific fields of vital importance to our society. These include, among others, transportation, economics, investment strategy, inventory control, logistics, safety, reliability, urban planning, and ecology. Computers & Operations Research (COR) provides an international forum for the application of computers and operations research techniques to problems in these and related fields.The common element in all the scientific areas that this Journal addresses is the need for some optimization methodology for determining viable solutions to problems, using computers and the techniques of operations research. However, it is not only the methodology which is of interest: the applications are of equal importance. The two are mutually supportive, since understanding the application helps one greatly to comprehend the optimization methods used, and vice versa.This Journal will therefore concern itself with these scientific fields of application, and will be accordingly broad in scope of subject matter. The form, content and language of the articles will take cognizance of this breadth of applications and of the consequent fact that many readers may not be expert in the scientific field to which the computer and operations research techniques are applied by the author.All full-length research papers must contain original research results, and 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. In addition, the research performed should represent novel and significant work relative to the relevant literature. The use of real-world data is also valued.(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. Moreover, this facilitates highlighting the algorithmic contributions to the literature.Computers & Operations Research now incorporates Surveys in Operations Research and Management Science. COR will therefore also publish state-of-the-art surveys and best practice guides in analytics, operations research, and management science, in a special Surveys section. These reviews of leading research in the field enable educators, researchers and students to obtain an overview of subjects of current interest, as well as important recent developments in established areas. Submissions can focus on theory or applications of OR/MS, and can be of several types, including but not limited to: (i) Results that are considered standards by experts in the community but which have not been documented in textbooks; (ii) Standard results which have been, in some way, streamlined such as, for example, new proof techniques leading to more elegant derivations of known results; (iii) New developments in methodology, or new application areas ('hot topics'). A review should be critical with respect to the existing knowledge and should focus on the computational and algorithmic aspects/developments. For more information on writing a contribution for the Surveys section of COR, please refer to What Makes a Good Survey?Computers & Operations Research also 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.Computers & Operations Research does not endorse works investigating neither warfare optimization problems nor applications involving activities that might cause serious injuries or even death, regardless of the setting (offensive or defensive).It 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 which do not satisfy these criteria may be rejected without being sent to reviewers.

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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

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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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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.

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Heliyon

• ISSN: 2405-8440
• 5 Year impact factor: 3.9
• Impact factor: 3.4

Heliyon considers research from all areas of the physical, applied, life, social and medical sciences. We publish manuscripts reporting scientifically accurate and valuable research, which adheres to accepted ethical and scientific publishing standards. As such Heliyon publishes new insights as well as extensions on existing theories, negative/null results and replication studies.Submissions covering arts, humanities and law are not considered in Heliyon. Authors of these submissions are encouraged to submit directly to our partner journal Social Sciences & Humanities Open.Heliyon classifies manuscripts/articles into different sections based on the research topic discussed. Some sections exclude certain types of studies from their scope. To know more and to see the kind of manuscripts the various sections publish, please visit: https://www.cell.com/heliyon/sectionsA dedicated in-house editorial office team, internal editors as well as external academic section and associate editors handle your manuscript and manage the publication process, giving your research the editorial support and quality control it deserves.If it's important to you, it's important to us. Submit your paper today.

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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

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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 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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