Literature Mapping on the Impact of LLMs in Knowledge Management: Trends and Challenges.
DOI:
https://doi.org/10.29105/vtga11.4-1149Keywords:
artificial intelligence, knowledge management, language modelsAbstract
Artificial intelligence has revolutionized knowledge management and decision-making in businesses and educational institutions. This literature mapping analyzes the impact of Large Language Models (LLMs) on operational efficiency, ethical challenges, and knowledge management approaches in the AI era. The reviewed studies highlight that LLMs can enhance productivity, optimize processes, and facilitate information access, transforming how organizations and universities manage knowledge. However, risks related to algorithmic biases, privacy, and lack of transparency in automated decision-making persist, requiring clear regulations and responsible implementation strategies. Despite their growing adoption, the literature lacks longitudinal studies to assess their long-term impact on knowledge management. Based on these findings, further research is suggested to evaluate the organizational impact of LLMs, develop strategies to mitigate biases, and promote the ethical integration of these technologies in educational and business environments. Regulation and the design of ethical frameworks will be essential to balance innovation, fairness, and security in AI use.
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Copyright (c) 2025 Iván Miguel García López, Jessica Nájera-Ochoa
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