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Erschienen in: Journal of Business Economics 1/2017

27.01.2016 | Original Paper

Additive manufacturing technology adoption: an empirical analysis of general and supply chain-related determinants

verfasst von: Katrin Oettmeier, Erik Hofmann

Erschienen in: Journal of Business Economics | Ausgabe 1/2017

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Abstract

Despite experiencing immense growth in the past decade, additive manufacturing (AM) technologies—colloquially known as 3D-printing—are still rarely used in industrial fabrication. Being at the interface between technology, innovation, behavioral science and operations management research, this paper identifies multifaceted factors that determine the decision to adopt AM technologies for the production of industrial parts. A review of the relevant literature revealed eight potential factors. These can be classified into four interdisciplinary categories: technology-related factors, firm-related-factors, market structure-related factors, and supply chain-related factors. Special focus is placed on the impact of supply chain-related issues, because there are indicatives that these aspects have an influence on the decision to adopt AM technologies since AM may offer distinct opportunities for both, the supply- and demand-side of a firm’s operations. No work in the field of manufacturing technology adoption has examined the role of such inter-organizational factors before. The results of an empirical study among 195 firms indicate that demand-side benefits and compatibility are the main determinants of AM technology adoption. This suggests that not only intra- but also inter-organizational factors should be considered when investigating the adoption of technological innovations. Furthermore, it is carved out that the adoption of AM technologies has an interdisciplinary nature.

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Metadaten
Titel
Additive manufacturing technology adoption: an empirical analysis of general and supply chain-related determinants
verfasst von
Katrin Oettmeier
Erik Hofmann
Publikationsdatum
27.01.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
Journal of Business Economics / Ausgabe 1/2017
Print ISSN: 0044-2372
Elektronische ISSN: 1861-8928
DOI
https://doi.org/10.1007/s11573-016-0806-8

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