Focusing on the connotation of the influencing factors of smart city collaborative governance, using quantitative analysis and literature analysis to identify the smart city collaborative governance includes nine potential variables. Based on the data collected by questionnaire, using the statistical analysis tools of SPASS and SEM method, this paper constructs the influencing factors structure model of smart city collaborative governance, and reveals the path parameters and the mechanism of the model. Relevant suggestions are put forward to improve the collaborative governance of smart cities.

Xinlin Wang. Research on Influencing Factors Model of Smart City Collaborative Governance Based on SEM. The Frontiers of Society, Science and Technology (2020) Vol. 2 Issue 10: 7-10. https://doi.org/10.25236/FSST.2020.021003.

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[4]  Project: Study on the long-term mechanism of Cooperative governance model of Urban Public security based on SEM-FSEM; Research on the Management Mode of curriculum ideological and political Reform in universities of science and Engineering