AI-Powered Reforms to End Academic Publishing Delays: A Data-Driven Framework for Faster, Fairer Peer Review

Authors

  • Sixbert SANGWA African Leadership University Author
  • Placide Mutabazi Open Christian University Author

DOI:

https://doi.org/10.65655/qnaeev03

Keywords:

academic publishing reform, peer review delays, AI in publishing, open access efficiency, scholarly communication, knowledge dissemination, timeliness in research

Abstract

Abstract: Academic publishing is facing a timeliness crisis. Despite exponential growth in global research output and advances in digital dissemination, the journey from manuscript submission to published article remains protracted in many fields. This article presents an original, data-driven critique of systemic delays in the scholarly publishing process and proposes an integrated reform framework suited for the AI era. We conducted a mixed-method analysis: first, a literature review of publishing timelines and inefficiencies across disciplines; second, a comparative analysis of real-world data (e.g. Scopus-indexed timeline metrics, publisher reports, and survey results). The findings reveal that structural lags—lengthy peer review, editorial backlogs, and issue-based publication schedules—significantly undermine the value and impact of research, especially in fast-moving domains. For instance, average submission-to-publication times often range from 5–18 months, with slower cycles in social sciences than in STEM fields. Such delays correlate with reduced early citations and diminished policy relevance. We identify disruptive forces, including preprint servers, open peer review, and AI-assisted editorial tools, that are beginning to counteract these inefficiencies. Building on Diffusion of Innovation and Queuing Theory insights, we propose a comprehensive reform framework: continuous (rolling) publication models, mandated decision deadlines, incentives for rapid yet rigorous peer review, and AI-integrated workflows. Implementing these changes could transform scholarly communication—enhancing speed without sacrificing quality, bolstering global equity in knowledge dissemination, and future-proofing the publishing ecosystem. By aligning technological innovation with policy reform, the academic community can ensure that in the next decade, research findings are not just credible but also promptly accessible and actionable.

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Published

2025-08-17

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Articles

How to Cite

SANGWA, S., & Mutabazi, P. (2025). AI-Powered Reforms to End Academic Publishing Delays: A Data-Driven Framework for Faster, Fairer Peer Review. Open Journal of AI, Ethics & Society (ISSN: 3105-3076), 1(1). https://doi.org/10.65655/qnaeev03

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