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Academic Journal of Business & Management, 2022, 4(19); doi: 10.25236/AJBM.2022.041917.

Social network analysis based on collaborative innovation performance impact factors of assembled construction industrial park


Yuqing Bai

Corresponding Author:
Yuqing Bai

Hebei University of Engineering, Handan, Hebei, 056107, China


In order to improve the current situation that innovation in the construction industry is relatively lagging behind, this paper investigates the key influencing factors that affect the collaborative innovation performance of the assembly construction industrial park. Based on the research of previous literature, this paper sorts out the factors affecting the collaborative innovation among innovation subjects in the assembly construction industry, and lists the influencing factors affecting the innovation performance of the industrial park by combining the characteristics of the assembly construction industry, constructs a social network analysis model among the influencing factors through the obtained data, and finally analyzes them by UCINET 6.0 software. The research results show that six factors, namely innovation resource investment, willingness to cooperate, knowledge conversion rate, participants' ability and quality, standardization degree and alliance organization management, are the key factors influencing the collaborative innovation performance of the assembly construction industrial park.


assembly building; collaborative innovation performance; social network analysis

Cite This Paper

Yuqing Bai. Social network analysis based on collaborative innovation performance impact factors of assembled construction industrial park. Academic Journal of Business & Management (2022) Vol. 4, Issue 19: 138-146. https://doi.org/10.25236/AJBM.2022.041917.


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