In this chapter, we present a bibliometric study of research trends in both Knowledge Management (KM) and Artificial Intelligence (AI) Analytics using documents published in the period 2011 - 2019 and outline possible research scenarios for the decade 2020-2030. Our aim is to provide specific key research topics related to the intersection of KM and AI Analytics that may be of interest to future research students who seek to help institutions and knowledge-based organizations take advantage of the rich research agenda of the digital age. Data is proliferating and accumulating every minute from firms’ daily operations, and this opens countless opportunities to dig and discover knowledge hidden within data that may prove useful in achieving business goals. AI Analytics applies machine learning, statistical, natural language processing and other AI and information technologies to dig into large data bases, data warehouses, big data repositories, web sites, sensor data, and other data sources to find pertinent knowledge. In this study, we found and describe patterns of research collaboration between KM and AI subdisciplines and analyze research trends and future scenarios. By following an Analytics approach, we believe that the synergy between KM and AI research will bring ample benefits for the theory and practice of interdisciplinary studies involving knowledge and intelligence technologies in the context of the digital transformation and fourth industrial revolution.
You are not authenticated to view the full text of this chapter or article.
Get access to the full article by using one of the access options below.