Exploring the characteristics of 3D printing global industry chain and value chain innovation network

2019 ◽  
Vol 36 (4) ◽  
pp. 559-575
Author(s):  
Xu Bai ◽  
Jinxi Wu ◽  
Yun Liu ◽  
Yihan Xu ◽  
Defang Yang

In this study, we attempted to fill an important gap that literature has yet to investigate: the characteristics of the 3D printing global industry chain and value chain innovation network. The network characteristics analysis is based on patents and the patent data download from the European Patent Office (EPO) database covering the period from January 1, 1989 to December 31, 2017. The concept of the 3D printing global industry chain and value chain network is defined, then the network model is divided by employing case analysis, and finally the network characteristics are analyzed by using social network analysis. This research enriches the relevant theories of global innovation networks in emerging industries and provides theoretical support for the development of global innovation strategies and policies for the 3D printing industry.

2014 ◽  
Vol 43 (3) ◽  
pp. 495-504 ◽  
Author(s):  
Sverre J. Herstad ◽  
Heidi Wiig Aslesen ◽  
Bernd Ebersberger

2009 ◽  
Vol 52 (3) ◽  
pp. 140-144 ◽  
Author(s):  
Greg Linden ◽  
Kenneth L. Kraemer ◽  
Jason Dedrick

2021 ◽  
Author(s):  
Kevin Slattery ◽  
◽  
Eliana Fu ◽  

Additive manufacturing (AM), also known as “3D printing,” is often touted as a sustainable technology, especially for metal components, since it produces either net or near-net shapes versus traditionally machined pieces from larger mill products. While traditional machining from mill products is often the case in aerospace, most of the metal parts used in the world are made from flat-rolled metal and are quite efficient in utilization. Additionally, some aspects of the AM value chain are often not accounted for when determining sustainability. Unsettled Issues in Additive Manufacturing and Improved Sustainability in the Mobility Industry uses a set of scenarios to compare the sustainability of parts made using additive and conventional technologies for both the present and future (2040) states of manufacturing.


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