Cooperation, Network Characteristics, and Innovation Performance

Author(s):  
Juan Shi ◽  
Xue Li
2019 ◽  
Vol 11 (14) ◽  
pp. 3922 ◽  
Author(s):  
Jingjing Zeng ◽  
Dingjie Liu ◽  
Hongtao Yi

Industry cluster’s agglomeration effects facilitate higher productivity for enterprises located in the industry cluster. This paper examines the agglomeration effects of industry cluster on firm’s innovation performance through studying the network embeddedness of the biopharmaceutical companies using cross-sectional data from 2011 to 2015. Measuring the technological cooperation network with text analysis of the interfirm agreement among core enterprises, we found that betweenness centrality and clustering coefficient have statistically significant and positive effects on enterprise’s ability for technological innovation, while the influence from the constraint of structural holes is negative. Our results suggest that government should allow the leading enterprises to establish professional technology cooperation platforms and provide additional support to promote cooperation among firms.


2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Mingxing Li ◽  
Mengjuan Zhang ◽  
Fredrick Oteng Agyeman ◽  
Hira Salah ud din Khan

The automobile industry serves as the primary industry for national development and also enhances manufacturing development strategies. Its source of power comes from the maturity and operational efficiency of the technology innovation network within the industry. Firstly, this paper takes the automobile industry of the Yangtze River Economic Belt as the research object and depicts the topological structure of the 1985–2015 Industry-University-Research Cooperation Innovation Network (IURCIN) from the perspective of space-time evolution. Then, based on the 2015 industrial network characteristic data, the paper analyses the impact of individual network characteristics such as intermediate centrality, structural hole limitation, and cooperation intensity on the innovation performance of the respective network. At the same time, it adds innovation activity, per capita gross regional product (GRP), and research and development (R&D) fund input intensity as control variables in the quantitative analysis. The results show that the centrality and structural hole limitation significantly and positively affect the subject innovation performance. The cooperation intensity and the subject innovation performance have an inverted U-shaped relationship. The innovation activity has a positive effect on the subject’s innovation performance. Furthermore, per capita GRP and R&D expenditure intensity on the main innovation performance is not significant. Finally, the countermeasures and suggestions are put forward to promote the innovation performance of each subject in the IURCIN.


2021 ◽  
Vol 22 (5) ◽  
pp. 1288-1307
Author(s):  
Yanhui Jiang ◽  
Danping Wang ◽  
Qianfang Zeng

Founders are crucial for the start-ups, which in turn makes it very important to study how founders’ behaviour affects the development of the start-ups. Based on the data of the companies listed on Growth Enterprise Market (GEM) and Small & Medium Enterprise (SME) board from 2014 to 2017 in China, this paper explores the impact of founders’ dual roles of R&D and management on enterprises’ innovation performance from the perspective of founders’ R&D network characteristics. The empirical research reveals that the more an enterprise’s founders participate in the R&D activities and the more central they are in the R&D network, the better the enterprise’s technological innovation performance. It is because the high network centrality enables founders the stronger ability of innovation and opportunity identification and draws their attention to innovation. This research further discloses that the promotion effect is restrained when enterprises obtain more government subsidies and founders have more power. Italso finds that founders’ R&D role does not transform the innovation output into enterprises’ value effectively though the role increases the innovation output, instead, it even restrains the transformation.


2012 ◽  
Vol 21 (2) ◽  
pp. 130-146 ◽  
Author(s):  
Annemien Pullen ◽  
Petra C. de Weerd-Nederhof ◽  
Aard J. Groen ◽  
Olaf A.M. Fisscher

2019 ◽  
Vol 11 (24) ◽  
pp. 7249 ◽  
Author(s):  
Hong Jiang ◽  
Sipeng Gao ◽  
Yang Song ◽  
Kuang Sheng ◽  
Gehan A. J. Amaratunga

Against the background of economic globalization, high-technology enterprises need to focus on the characteristics of corporate collaboration R&D networks and Standard-Setting. In this paper, theoretical research on corporate collaboration R&D network characteristics, technology standard-setting capability, and technology innovation performance is carried out, and a theoretical model and hypotheses are constructed. We apply Structural Equation Modeling (SEM) to conduct an empirical analysis based on national data surveys of 12 industries. The conclusions are as follows: (1) Corporate collaboration R&D networks and technology standard-setting capability have a positive and significant impact on technology innovation performance; (2) Technology’s standard-setting capability has been identified to play a full intermediary role in the relationship between the breadth of connections and innovation efficiency. This paper provides a practical reference for enterprises to assess the value of collaborative R&D networks and improve their technology standard-setting capability for enhanced economic efficiency.


2005 ◽  
Author(s):  
Prithwish De ◽  
Joseph Cox ◽  
Carole Morissette ◽  
Ann Jolly ◽  
Jean-Francois Boivin

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