EconPapers    
Economics at your fingertips  
 

Industry 4.0 and Knowledge Management: A Review of Empirical Studies

Mauro Capestro () and Steffen Kinkel
Additional contact information
Mauro Capestro: University of Padova
Steffen Kinkel: University of Applied Sciences

A chapter in Knowledge Management and Industry 4.0, 2020, pp 19-52 from Springer

Abstract: Abstract The recent Industry 4.0 paradigm is revolutionizing the manufacturing processes, the way companies create value and interact with suppliers and customers. The new technologies allow manufacturing companies to gather huge amounts of data that they can use to tailor production, develop customized products and services, as well as improve operation activities in terms of efficiency, productivity, and flexibility. In this new technological scenario, new digital skills and competences (i.e., data management) become strategically important as they could assure new knowledge manufacturing companies to achieve superior competitive advantage. Such new knowledge depends not only on the use of Industry 4.0 technologies but also on the interactions with suppliers and customers as well as on the upgrading of employees’ competences. With the aim of deepening the understanding of these dynamics, the chapter reviews the empirical studies related to the adoption of Industry 4.0, by highlighting the role of knowledge management.

Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (2)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:kmochp:978-3-030-43589-9_2

Ordering information: This item can be ordered from
http://www.springer.com/9783030435899

DOI: 10.1007/978-3-030-43589-9_2

Access Statistics for this chapter

More chapters in Knowledge Management and Organizational Learning from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:kmochp:978-3-030-43589-9_2