TY - JOUR
T1 - The effects of external knowledge source heterogeneity on enterprise process and product innovation performance
AU - Si, Yuefang
AU - Liu, Wanxin
AU - Cao, Xianzhong
N1 - Publisher Copyright:
Copyright: © 2020 Si et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2020/6
Y1 - 2020/6
N2 - As a global manufacturing centre, China is transitioning from a 'Made in China' to 'Create in China' perspective. An ever-increasing number of companies are developing new competitive advantages and improving their innovation levels by acquiring external knowledge. Yet, studies rarely discuss the influence of various sources of knowledge on process and product innovation performance in China's manufacturing enterprises. Based on the Pavitt industry classification, we use a bivariate Probit model to investigate the influence of external knowledge sources on innovation performance, and test it by using Enterprise Survey data for China, published by the World Bank in 2013. Our empirical analysis indicates that external sources of knowledge, with the exception of suppliers, have a significantly positive influence on process and product innovation performance. Specifically, in the process of technological innovation, peers have a positive effect on enterprise process improvement, especially in the science-based sector. In product innovation, close technical cooperation with users accelerates the commercial manifestation of products, especially in the specialized supplier sector.
AB - As a global manufacturing centre, China is transitioning from a 'Made in China' to 'Create in China' perspective. An ever-increasing number of companies are developing new competitive advantages and improving their innovation levels by acquiring external knowledge. Yet, studies rarely discuss the influence of various sources of knowledge on process and product innovation performance in China's manufacturing enterprises. Based on the Pavitt industry classification, we use a bivariate Probit model to investigate the influence of external knowledge sources on innovation performance, and test it by using Enterprise Survey data for China, published by the World Bank in 2013. Our empirical analysis indicates that external sources of knowledge, with the exception of suppliers, have a significantly positive influence on process and product innovation performance. Specifically, in the process of technological innovation, peers have a positive effect on enterprise process improvement, especially in the science-based sector. In product innovation, close technical cooperation with users accelerates the commercial manifestation of products, especially in the specialized supplier sector.
UR - https://www.scopus.com/pages/publications/85086525458
U2 - 10.1371/journal.pone.0234649
DO - 10.1371/journal.pone.0234649
M3 - 文章
C2 - 32530928
AN - SCOPUS:85086525458
SN - 1932-6203
VL - 15
JO - PLoS ONE
JF - PLoS ONE
IS - 6
M1 - e0234649
ER -
