TY - JOUR
T1 - The influencing factors of industry innovation networking
T2 - evidence from Shanghai's high-tech industry
AU - Cao, Xianzhong
AU - Teng, Tangwei
AU - Zeng, Gang
AU - Bao, Han
AU - Lin, Lan
N1 - Publisher Copyright:
Copyright © 2022 Inderscience Enterprises Ltd.
PY - 2022
Y1 - 2022
N2 - The influence factor of innovation network is an important research field of human geography. This paper aims to examine the factors, paths, and mechanisms influencing networking of Shanghai's high-tech industry with focus on the biomedical, new material, equipment manufacturing and electronic information. Based on the data from high-tech firms' annual reports by Shanghai's Science and Technology Commission, the results highlight firm development stage, firm scale, and industry position as the main factors promoting innovation networking. In addition, government intervention plays the largest role in the new material industry mainly through investment in innovation activities and taxation intervention in innovation network construction. The impact of firm ownership, spatial location, and intermediary services on the four high-tech industries' innovation networks is relatively smaller. Finally, this study summarises the impact mechanisms for innovation networking in Shanghai's high-tech industries.
AB - The influence factor of innovation network is an important research field of human geography. This paper aims to examine the factors, paths, and mechanisms influencing networking of Shanghai's high-tech industry with focus on the biomedical, new material, equipment manufacturing and electronic information. Based on the data from high-tech firms' annual reports by Shanghai's Science and Technology Commission, the results highlight firm development stage, firm scale, and industry position as the main factors promoting innovation networking. In addition, government intervention plays the largest role in the new material industry mainly through investment in innovation activities and taxation intervention in innovation network construction. The impact of firm ownership, spatial location, and intermediary services on the four high-tech industries' innovation networks is relatively smaller. Finally, this study summarises the impact mechanisms for innovation networking in Shanghai's high-tech industries.
KW - SEM
KW - high-tech industry
KW - impact mechanisms
KW - influencing factors
KW - innovation networks
KW - structural equation model
UR - https://www.scopus.com/pages/publications/85133624378
U2 - 10.1504/IJTM.2022.123741
DO - 10.1504/IJTM.2022.123741
M3 - 文章
AN - SCOPUS:85133624378
SN - 0267-5730
VL - 89
SP - 187
EP - 210
JO - International Journal of Technology Management
JF - International Journal of Technology Management
IS - 3-4
ER -
