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AI-Driven Peer Company Identification: A Semantic Text-Similarity Approach Beyond Traditional Industry Classification Systems Cover

AI-Driven Peer Company Identification: A Semantic Text-Similarity Approach Beyond Traditional Industry Classification Systems

Business Systems Research Journal
Volume 17 (2026): Issue 1 (April 2026)
By:  and    
Open Access
|May 2026
Authors

Authors

Timotej Jagrič

timotej.jagric@um.si

Institute of Finance and Artificial Intelligence, Faculty of Economics and Business, University of Maribor

Aljaž Herman

aljaz.herman@um.si

Institute of Finance and Artificial Intelligence, Faculty of Economics and Business, University of Maribor
DOI: https://doi.org/10.2478/bsrj-2026-0010 | Journal eISSN: 1847-9375 | Journal ISSN: 1847-8344
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Language: English
Page range: 204 - 222
Submitted on: Oct 21, 2024
Accepted on: Aug 15, 2025
Published on: May 10, 2026
Published by: IRENET - Society for Advancing Innovation and Research in Economy
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
industrial classification schemes,
peer companies,
artificial intelligence,
semantic text similarity,
BERT
Related subjects:
Business and economics,
Business management,
Management, organization, corporate governance,
Business management, other,
Mathematics and statistics for economists,
Mathematics

© 2026 Timotej Jagrič, Aljaž Herman, published by IRENET - Society for Advancing Innovation and Research in Economy
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 17 (2026): Issue 1 (April 2026)
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