Research on the impact of global innovation network on 3D printing industry performance

2020 ◽  
Vol 124 (2) ◽  
pp. 1015-1051
Author(s):  
Xu Bai ◽  
Jinxi Wu ◽  
Yun Liu ◽  
Yihan Xu
2020 ◽  
Vol 39 (5) ◽  
pp. 7135-7149
Author(s):  
Shugang Li ◽  
Lirong Zhu ◽  
Boyi Zhu ◽  
Ru Wang ◽  
Lingling Zheng ◽  
...  

3D printing is the important part of the emerging industry, and the accurate prediction of technology hot spots (THS) in the 3D printing industry is crucial for the strategic technology planning. The patents of the THS are always in the minority and have outlier characteristics, so the existing single and rigid models cannot accurately and robustly predict the THS. In order to make up for the shortcomings of the existing research, this study proposes a model for robust composite attraction indicator (MRCAI), which avoids the impact of outlier patents on prediction accuracy depending on not only extracting the patent attraction indicators (AIs) but also constructing the robust composite attraction indicator (CAI) according to the rough consensus of predicted results of CAIs with high generalization. Specifically, firstly, this study selects the patent AIs from the four dimensions of the attraction: technology group attraction, state attraction, enterprise attraction and inventor attraction. Secondly, in order to completely describe the attraction features of patent, AIs are directly and indirectly integrated into CAIs. Thirdly, we reduce the influence of outlier patents on prediction accuracy from two aspects: on the one hand, we initially select the CAIs with good generalization performance based on the prediction error fluctuation range. On the other hand, we build the robust CAIs by calculating the consensus of CAIs with high generalization performance based on the rough set. Fourthly, the 3D printing industry technology attention matrix is constructed to map the effective technology strategic planning based on predicted patent backward citation count by MRCAI in the short, medium and long term. Finally, the experimental results on 3D printing patent data show that MRCAI can effectively improve the efficiency in dealing with samples with outlier patents and has strong flexibility and robustness in predicting the THS in 3D printing industry.


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.


2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Christian Lechner ◽  
Abeer Pervaiz

Abstract In the entrepreneurship literature, the phenomenon of industry emergence has been largely investigated from an institutional perspective. Appropriate institutions would allow then a group of individual entrepreneurs (“the heroes”) to create an industry through innovative ventures. New ventures create new industries and firm entry, survival, and exit drive industry evolution. Our research, however, explores what creates the favorable set of circumstances for new ventures to emerge and focuses on the pre-emergence phase and we propose that the patterns of emergence resemble those of social movements. Through an actor perspective, this research highlights the existence of diverse actors, not necessarily entrepreneurs, who are necessary to trigger a collective action during the pre-emergence phase of industries. This research is also distinct from entrepreneurial ecosystems as its development already requires some successful entrepreneurial action. The 3D printing industry was chosen as a single longitudinal case study, where the actors are the embedded units of analysis. The findings of the study lead to the identification of three aggregate dimensions—“Social Movement Composition,” Temporal Engagement,” and “Coalitions Development”—that were prevalent during the pre-emergence phase of the 3D printing industry. Our propositions emphasize the importance of large collective action and the role of multiple actors in order to create the conditions for, first, firm emergence and, the second, to the process of industry emergence.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Amy E. Alexander ◽  
Nicole Wake ◽  
Leonid Chepelev ◽  
Philipp Brantner ◽  
Justin Ryan ◽  
...  

AbstractFirst patented in 1986, three-dimensional (3D) printing, also known as additive manufacturing or rapid prototyping, now encompasses a variety of distinct technology types where material is deposited, joined, or solidified layer by layer to create a physical object from a digital file. As 3D printing technologies continue to evolve, and as more manuscripts describing these technologies are published in the medical literature, it is imperative that standardized terminology for 3D printing is utilized. The purpose of this manuscript is to provide recommendations for standardized lexicons for 3D printing technologies described in the medical literature. For all 3D printing methods, standard general ISO/ASTM terms for 3D printing should be utilized. Additional, non-standard terms should be included to facilitate communication and reproducibility when the ISO/ASTM terms are insufficient in describing expository details. By aligning to these guidelines, the use of uniform terms for 3D printing and the associated technologies will lead to improved clarity and reproducibility of published work which will ultimately increase the impact of publications, facilitate quality improvement, and promote the dissemination and adoption of 3D printing in the medical community.


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

Author(s):  
Lamberto Zollo ◽  
Giacomo Marzi ◽  
Andrea Boccardi ◽  
Micaela Surchi

2019 ◽  
Vol 12 (1) ◽  
pp. 10
Author(s):  
Ibrahim Baghdadi

The growing exposure to globalization, since 1990s, has initiated some significant alterations to the Lebanese economy, society, and culture. For the last two decades, it has been observed that international cuisines and eccentric menu items have been invading the local market and taking over ethnic and traditional cuisines, what threatens, if this trend continues, the identity of traditional cuisine and, consequently, the sustainability of local food culture. Departing from the case of Lebanon, this paper studies the impact of globalization on traditional cuisine and highlights the role of networks in sustaining local food culture. The findings of our empirical study revealed the necessity to modernize the traditional cuisine through a coordinated set of heterogeneous and professional actors who collectively take part in the process. The ability of these actors to innovate is found related to the organizational conditions of the networks to which they belong, and to the ability of these networks for innovation, what refers us to the concept of “innovation network” that we are proposing, through this study, as a solution to the dilemma of food - culture preservation and sustainability.


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