Understanding the role of artificial intelligence in knowledge management systems: a systematic review using the antecedent, consequences and intervention framework

Purpose This paper investigates the bibliometric parameters and content analysis of artificial intelligence in knowledge management systems, along with the development of a conceptual framework. Design/methodology/approach For this purpose, the study adopted the scientific procedures and rationales for systematic literature reviews framework to finalize the dataset downloaded from Scopus. Thematic analysis was conducted using the visualization of similarities viewer and Excel. Findings The study identified key journals, authors, institutions, keywords and other elements of the current literature. It recognized five main themes along with fifteen questions for future research. Additionally, it offers an antecedent, consequence and intervention (ACI) conceptual framework to advance this area. A comparison related to the existing socialization, externalization, combination and internalization and knowledge value chain models was also presented to emphasize the importance of the ACI framework. Originality/value The research raises several key questions concerning five distinct themes, suggesting intriguing directions for further investigation. The author acknowledges that other relevant papers might not have been included in the list of articles considered for review, although this criterion supports the article’s quality motive.