Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Other literature type . 2024
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Conference object . 2023
License: CC BY
Data sources: ZENODO
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2024
Data sources: Datacite
ZENODO
Presentation . 2024
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
Lucerne Open Repository
Other literature type . 2024
versions View all 9 versions
addClaim

Prior Knowledge as an Enabler of Additive Manufacturing Technologies

Authors: Dachs, Bernhard; Knudsen, Mette Praest; Som, Oliver; Kraner, Jan;

Prior Knowledge as an Enabler of Additive Manufacturing Technologies

Abstract

Additive manufacturing technology is often considered as a key technology with disruptive potential. This article researches the relationship between the use of different additive technology applications (rapid prototyping and additive manufacturing) and product innovation. More specifically, we focus on the question to what extent characteristics of the firm's prior knowledge support the adoption of additive manufacturing technologies for product innovation. Theoretically, the depth and scope of firms' prior knowledge including prior experience, readiness, resources, the nature and scale of the organization, the amount invested, and external environmental aspects, represent a strategic resource for the successful adoption of additive technology. Utilizing a large-scale quantitative dataset of 3,180 European manufacturing firms from 2015, descriptive and multivariate analyses confirm the positive relationship between firms' adoption of additive technology and product innovation. This study enriches knowledge of how firms' strategic resource endowment affects the adoption of additive technology for product innovation. Our findings underline the relevance to build and prepare the firm with prior knowledge relevant for technology adoption of additive manufacturing technology.

+ ID der Publikation: hslu_98631 + Art des Beitrages: Präsentation Konferenzpapier/Tagungsbeitrag + Sprache: Englisch + Letzte Aktualisierung: 2024-04-17 14:14:01

Countries
Switzerland, Denmark
Keywords

knowledge, digital innovation, 3D printing, additive manufacturing, digitalization, innovation

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
Related to Research communities