Algorithmic Governance and Strategic Value of Open Large Language Models in University Administrative Decision-Making
A Systematic Review (2019–2025)

DOI:  https://doi.org/10.12804/revistas.urosario.edu.co/empresa/a.15889

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Published: Jul 27, 2026
Issue: Vol. 28 No. 51esp (2026): Experiencias latinoamericanas en gestión de la innovación y vínculos entre universidad y empresa
Section Scientific and technological research article


Keywords: Generative Artificial Intelligence Open Large Language Models algorithmic governance organizational trust digital competence higher education

Main Article Content

Authors

  Iván Miguel García López
Universidad La Salle
  Jessica Nájera Ochoa
Universidad La Salle

Abstract

Objective: This study systematically examines recent literature (2019–2025) to identify the patterns, benefits, challenges, and trust factors associated with the adoption of Open Large Language Models (ollms) in university administrative decision-making. Methodology: A prisma-based Systematic Literature Review (slr) was conducted using 183 peer-reviewed articles indexed in Scopus and Web of Science. Key findings: It was found that ollms are used primarily to improve operational efficiency and automate administrative processes, while strategic and governance-oriented uses remain less developed. The main barriers identified are the digital skills gap and the limited development of regulatory and governance frameworks, both of which constrain organizational trust in ai-supported decisions. Conclusions: The study concludes that the effective integration of ollms in higher education requires algorithmic governance, leadership training, and administrative digital maturity in order to strengthen institutional trust, decision-making quality, and innovation capacity.

How to Cite
García López, I. M., & Nájera Ochoa, J. (2026). Algorithmic Governance and Strategic Value of Open Large Language Models in University Administrative Decision-Making: A Systematic Review (2019–2025). Revista Universidad Y Empresa, 28(51esp), 1–27. https://doi.org/10.12804/revistas.urosario.edu.co/empresa/a.15889
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