Artificial intelligence in knowledge management: application insights and guidelines

Abstract

The development of digital technologies has aroused increasing interest among researchers and managers due to the inherent transformations in productive systems, where knowledge is recognized as a key element. In this context, this study represents an exploratory perspective that does not aim for exhaustiveness, but rather a specific deep dive into the application of artificial intelligence in knowledge management. The methodology employed combines literature review, bibliometrics, and brainstorming. Through a detailed analysis of 12 articles, it was identified that the scientific production on this subject is promising, showcasing new possibilities for knowledge management in a data-driven world. Additionally, the authors propose eight application guidelines for these concepts, which serve as transient observation points that vary according to the complexity of each organization, but when practiced, tend to result in improvements across any scenario. The empirical validation of these guidelines is suggested as future work.