Submissions

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Author Guidelines

BRR invites authors to submit their work for consideration in our running issues. To ensure a timely review process, all submissions undergo an initial editorial assessment to determine their alignment with the journal’s aims and scope.

Manuscripts that meet our thematic and methodological requirements are sent for double-blind peer review. To increase the likelihood of acceptance, authors should ensure that:

  • The study design and research argument are logically structured and clearly articulated.
  • The title is concise and reflects the core contribution of the work.
  • The abstract is self-contained and informative, providing a clear summary of the findings.

The editorial team reserves the right to desk-reject submissions that do not meet minimum standards of academic clarity, coherence, or formatting. We encourage authors to utilize the Submission Checklist below to verify that their manuscript is ready for review.

Join Our Reviewer Community As an emerging journal, BRR welcomes applications from dedicated scholars and practitioners to join our peer-review database. Peer review is the cornerstone of academic integrity and is vital to the growth of our research community.

Reviewers are selected based on their subject-matter expertise and academic qualifications. This is a voluntary, unpaid role that offers the opportunity to stay at the forefront of business and technology research.

How to Apply: If you are interested in serving as a reviewer, please email brr@libt.co.uk with your academic CV and a brief outline of your specific areas of expertise (e.g., AI ethics, digital entrepreneurship, or qualitative methodology).

Submission Preparation Checklist

Submissions must meet the following criteria:

  • The manuscript adheres to all formatting and structural requirements outlined in the journal's submission checklist.
  • The manuscript has not been published elsewhere and is not under consideration by another publication.
  • All citations and references are complete and accurate.
  • Figures and tables are properly labelled and formatted.
  • Written permission has been obtained for all accompanying materials.
  • Submit manuscripts in Microsoft Word (.doc or .docx) format (Download template here [LINK])

Generative AI Policy

BRR permits the responsible use of generative AI tools in manuscript preparation. Any use of AI-assisted technologies must be disclosed by authors. Authors remain fully responsible for the accuracy, originality, and integrity of their work. AI tools cannot be credited as authors. For more information please check GenAI and AI-Assisted Policy. 

Articles

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Copyright Notice

Authors retain copyright of their published work. By submitting and publishing in this journal, authors grant the journal a non-exclusive license to distribute the work electronically and in print, and to archive it for preservation and indexing purposes.

This journal provides immediate open access to its content under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits use, sharing, adaptation, distribution, and reproduction in any medium or format, provided the original author(s) and source are credited.

To view a copy of this license, visit: https://creativecommons.org/licenses/by/4.0/

Privacy Statement

The British Research Review (BRR) collects and manages personal information solely for academic and operational purposes, including manuscript handling, peer review, publication, and user account management. Personal data includes any information that can identify a living individual, such as names, email addresses, affiliations, and electronic identifiers like IP addresses.

BRR may process personal information through activities such as collecting, storing, organizing, transferring, or deleting data as required for journal operations.

System BRR’s online platform stores user accounts, submissions, and editorial communications.

Purpose To support the submission, review, editing, and publication of scholarly content.

Data collected Mandatory: username, first name, last name, email, country Encrypted: password Optional: ORCID, affiliation, biography, contact details, and other profile information

Data storage and transfer Data is stored on secure servers used by the journal’s hosting provider. Public metadata for published articles may be shared with indexing services internationally.

Legal basis Consent provided by users when creating an account or submitting work.

Retention Personal data is stored indefinitely as part of the scholarly record unless removal is requested where legally permissible.

Contact For questions about personal data management: Dr. Neda Aria, Editor‑in‑Chief Email: neda@libt.ac.uk