Adoption of additive manufacturing: A survey of the role of knowledge networks and maturity in small and medium-sized Danish production firms

• Published in: International journal of production economics Vol. 255; p. 108714
• Main Authors: Haug, Anders, Wickstrøm, Kent Adsbøll, Stentoft, Jan, Philipsen, Kristian
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.01.2023
• Subjects: Additive manufacturing; Industry 4.0; Knowledge networks; Maturity; Small and medium-sized enterprises; Survey; Survey; Industry 4.0; Knowledge networks; Additive manufacturing; Small and medium-sized enterprises; Maturity
• ISSN: 0925-5273; 1873-7579
• DOI: 10.1016/j.ijpe.2022.108714

Additive manufacturing (AM) has had a significant impact on manufacturing processes in many industries, which is expected to increase much further in the coming years. AM is, however, not easy to implement, as this involves several knowledge-related challenges, particularly for small and medium-sized enterprises (SMEs). To add to the understanding of this phenomenon, we develop a theoretical model that describes the use of external networks for overcoming such challenges in part by acquiring AM knowledge to increase internal AM maturity. We test our model of direct and mediated network effects on AM-related competitive advantages through a survey of Danish manufacturing SMEs. The results show that increased AM maturity explains around 40 percent of the relationship between knowledge acquisition from networks and AM-related competitive advantages. Results also show that building internal AM maturity was especially driven by networking with AM developers, AM suppliers, and AM organizations, while networking with AM consultants and other AM users promoted competitive advantages through other mechanisms. This suggests two overall strategies for achieving competitive advantages from AM: (1) using networks to build AM maturity, and (2) using external AM resources to compensate for low internal AM maturity. [Display omitted] •A theoretical model linking AM knowledge networks to competitive advantages.•The model is tested through a survey of Danish manufacturing SMEs.•AM knowledge acquisition is associated with competitive advantages.•Around 40 percent of this relationship is explained by higher AM maturity.•Different AM knowledge networks associate with different AM maturity and advantages.