2020/01/21 by Mohammad Fakhar Manesh, Massimiliano Matteo Pellegrini, Giacomo Marzi +2
Business, Management and Accounting · Engineering · #Big Data and Business Intelligence #Collaboration in agile enterprises #Digital Transformation in Industry
paper · doi:10.1109/tem.2019.2963489
openalex publication_date 2020/01/21 · crossref created 2020/01/21 · openalex created_date 2020/01/30 · crossref issued 2021/02/01 · crossref published 2021/02/01 · crossref published-print 2021/02/01 · crossref deposited 2024/07/30 · crossref indexed 2026/08/01 · openalex updated_date 2026/08/02
Due to increased competitive pressure, modern organizations tend to rely on knowledge and its exploitation to sustain a long-term advantage. This calls for a precise understanding of knowledge management (KM) processes and, specifically, how knowledge is created, shared/transferred, acquired, stored/retrieved, and applied throughout an organizational system. However, since the beginning of the new millennium, such KM processes have been deeply affected and molded by the advent of the fourth industrial revolution, also called Industry 4.0, which involves the interconnectedness of machines and their ability to learn and share data autonomously. For this reason, the present article investigates the intellectual structure and trends of KM in Industry 4.0. Bibliometric analysis and a systematic literature review are conducted on a total of 90 relevant articles. The results reveal six clusters of keywords, subsequently explored via a systematic literature review to identify potential stream of this emergent field and future research avenues capable of producing meaningful advances in managerial knowledge of Industry 4.0 and its consequences.