Open Access Policy

The International Review of FinTech Business and Management (IRFBM) is a fully open-access journal published by the Academy of Decision and Data Sciences (ADDS). All articles are made freely available online immediately after publication. Readers, researchers, institutions, and the wider public may access the full text without registration, subscription, payment, or prior permission.

IRFBM does not impose any embargo period on published content. The journal supports the principle that scholarly knowledge should be openly accessible and available for lawful use, sharing, and reuse.

Users may:

  • Read and download published articles.

  • Copy and print the full text.

  • Share and distribute published material.

  • Search, index, link to, and crawl article content.

  • Reuse and adapt published work for lawful academic, educational, professional, or commercial purposes.

All reuse must follow the terms of the applicable open-access licence.

Creative Commons Licence

All articles published in IRFBM are licensed under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0).

This licence permits users to:

  • Copy and redistribute the material in any medium or format.

  • Adapt, translate, transform, and build upon the material.

  • Use the work for academic, educational, professional, or commercial purposes.

Users must:

  • Give appropriate credit to the original author or authors.

  • Acknowledge the International Review of FinTech Business and Management as the original publication source.

  • Indicate whether any changes were made.

  • Provide the relevant licensing information where required.

IRFBM does not impose any additional legal or technical restrictions that would limit reuse permitted under the CC BY 4.0 licence.

Copyright and Publication Rights

Authors retain copyright over their published work.

By submitting and publishing an article in IRFBM, authors grant the journal and the Academy of Decision and Data Sciences a non-exclusive right of first publication and permission to publish, distribute, archive, index, preserve, and promote the article under the stated open-access licence.

Because this right is non-exclusive, authors may continue to share, reuse, reproduce, and republish their work, provided that the original publication in IRFBM is properly acknowledged.

Licence Information

The applicable licence statement will be displayed on the article webpage and, where possible, within the full-text version of the article.

Each article should include a copyright and licensing statement such as:

© [Year] The Author(s). Published by the Academy of Decision and Data Sciences. This article is distributed under the terms of the Creative Commons Attribution 4.0 International Licence.

Third-Party Material

The CC BY 4.0 licence applies only to material owned by the author or authors and licensed through IRFBM.

Third-party material, including images, figures, photographs, tables, datasets, maps, scales, and other copyrighted content, may be subject to separate licensing conditions. Where such material is not covered by the article’s open-access licence, this will be clearly identified through an appropriate credit line or rights statement.

Users who wish to reuse excluded third-party material must obtain permission directly from the relevant copyright holder.

Authors are responsible for securing permission before including restricted third-party content in their manuscripts.

Self-Archiving

IRFBM permits authors to deposit and share their work without an embargo.

Authors may archive:

  • The submitted manuscript.

  • The accepted manuscript.

  • The final published version.

These versions may be deposited in:

  • Institutional repositories.

  • Subject-based repositories.

  • Personal websites.

  • Academic networking platforms.

  • Funder-designated repositories.

  • Other lawful public archives.

The deposited version should include complete citation details and clearly identify IRFBM as the original publication source.

Accessibility and Discoverability

IRFBM aims to make published scholarship widely accessible and easy to discover. The journal may distribute article metadata and full-text content through:

  • Academic databases.

  • Search engines.

  • Library catalogues.

  • Research repositories.

  • Indexing and abstracting services.

  • Digital scholarly platforms.

  • Institutional and disciplinary archives.

Metadata may be shared openly to support discovery, citation, indexing, and scholarly communication.

Digital Preservation

IRFBM supports the long-term preservation and continuing availability of published content.

The journal may use recognised digital archiving systems, institutional repositories, preservation networks, and backup arrangements to protect published articles and associated metadata.

Where applicable, persistent identifiers, including digital object identifiers, may be assigned to articles to improve stable access, citation, and long-term discoverability.

Machine Readability and Text Mining

In accordance with the open-access licence, lawful text and data mining, indexing, automated searching, and machine-based analysis of published content are permitted.

Users and automated systems may crawl and analyse the journal’s content, provided that such activities:

  • Respect applicable laws.

  • Follow reasonable technical limits.

  • Do not interfere with the security or normal operation of the journal platform.

  • Maintain proper attribution where results reproduce or redistribute published material.

No Reader Charges

IRFBM does not charge readers or their institutions for accessing published articles.

Access to abstracts, metadata, and full-text content is provided without subscription fees, paywalls, or mandatory registration.

Any author-side charges, where applicable, will be governed by a separate article processing charge policy and will not affect readers’ access to published content.

Contact

Questions concerning open access, licensing, reuse, self-archiving, or permissions may be sent to the editorial office:

editor.irfbm@addsacademy.com