International Journal of Information Management Data Insights

Aims & Scope

Please note that relevant articles submitted to Special Issues in 2023 will have the full APC waived.

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. [...]

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Business, Management and Accounting, Computer Science, Decision Sciences, Engineering and Social Sciences, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Preservation url
• Apc url
• License

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Business, Management and Accounting, Computer Science, Decision Sciences, Engineering and Social Sciences, ensuring accessibility and quality in research dissemination.

This journal requires an Article Processing Charge (APC) to support open access publishing, covering peer review, editing, and distribution. The current APC is 1,810.00 USD. Learn more.

Explore journals without APCs for alternative publishing options.