Integrating AI in Knowledge Management

Abstract

The review article explores the integration of knowledge management (KM) applications to AI and their features, focusing on the attributes of AI, user needs, and the processes involved in identifying and satisfying them. The research underscores KM's importance in effectively managing AI, particularly in developing countries. Despite the growing emphasis on digital information, many institutions, especially in Africa, still rely heavily on print resources, highlighting a significant gap in adopting modern KM practices. Theoretical Framework is a User-Centric Approach to Knowledge Management. The methodology adopted is a systematic review. This systematic review synthesizes literature from 2009 to 2019, sourced from journals, books, and online databases such as E-Journals, E-books, and Google Scholar. The findings reveal that specific AI attributes, such as its origin, source, and relevance, are conducive to development. In contrast, others, like intangibility and medium dependency, can hinder progress if not adequately addressed. The study concludes that successfully utilizing AI depends on understanding the nature of AI, user behavior, and applying appropriate communication mechanisms. Recommendations are provided for improving KM systems, particularly in developing countries, through empirical research and integrating emerging technologies.