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Knowledge Management in the Fourth Industrial Revolution: Mapping the Literature and Scoping Future Avenues

期刊

IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
卷 68, 期 1, 页码 289-300

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TEM.2019.2963489

关键词

Industries; Bibliometrics; Bibliographies; Knowledge management; Systematics; Internet of Things; Bibliometrics; big data; condition monitoring; cyber physical system (CPS); cyber-physical production systems; digital economy; digital transformation; forecasting; fourth industrial revolution; future research; Industry 4.0; Internet of Things (IoT); knowledge management (KM); knowledge sharing; literature review; manufacturing innovations; smart factory; technology foresight

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Modern organizations rely on knowledge management to sustain long-term competitive advantage, especially in the era of Industry 4.0. Studying the intellectual structure and trends of knowledge management in this context can help identify future research directions and meaningful advances in managerial knowledge of Industry 4.0.
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.

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