Knowledge networks for adoption of additive manufacturing: The role of maturity Haug, Anders Wickstrøm, Kent Adsbøll Stentoft, Jan Philipsen, Kristian 2021-12-24T18:05:23Z 2021-12-24T18:05:23Z 2022-01-04
dc.description.abstract Additive manufacturing (AM) has had a significant impact on manufacturing processes in many industries. The implementation of AM technology, however, involves several knowledge-related challenges, particularly for small and medium-sized enterprises (SMEs). We explore this topic by developing a theoretical model with the hypotheses that acquiring AM knowledge from networks is associated with competitive advantages from AM, and that this relationship can partly be explained by AM maturity. We test our model through a survey of Danish manufacturing SMEs. The findings show that AM knowledge acquisition from networks is positively associated with competitive advantages from AM, where around 40 percent of this relationship is explained by higher AM maturity. Furthermore, the findings suggest that different types of knowledge networks have different effects on AM maturity and competitive advantages from AM.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2022.616
dc.identifier.isbn 978-0-9981331-5-7
dc.language.iso eng
dc.relation.ispartof Proceedings of the 55th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject The Digital Supply Chain of the Future: Applications, Implications, Business Models
dc.subject additive manufacturing
dc.subject industry 4.0
dc.subject knowledge acquisition
dc.subject knowledge networks
dc.subject maturity
dc.title Knowledge networks for adoption of additive manufacturing: The role of maturity
dc.type.dcmi text
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