Paper Type
Complete
Paper Number
1134
Description
This study explores Smart City Governance (SCG) through the lens of Socio-Technical Systems theory, focusing on Shenzhen, China. SCG leverages ICTs to enhance urban management and stakeholder engagement, but existing literature lacks a thorough understanding of the dynamic interactions between social and technical elements. This research aims to address this gap by examining how technological innovation and stakeholder engagement interact to achieve joint optimisations in SCG. The study identifies underlying causal mechanisms, namely mutual adaptation and co-evolution, and feedback loops, that highlight the need for continuous alignment between social and technical subsystems. The findings indicate that these interactions have transformed urban governance in Shenzhen into a highly efficient, transparent, and service-oriented process, enhancing stakeholder participation and collaboration. The study offers practical recommendations for SCG, namely clear objectives, diverse business models, and a focus on privacy and data security. These insights are valuable for policymakers and practitioners in similar urban contexts.
Recommended Citation
Zhai, Yue and Gao, Ping, "Smart City Governance with Socio-technical Systems Theory: A Case Study and Analytical Framework of Shenzhen in China" (2024). PACIS 2024 Proceedings. 5.
https://aisel.aisnet.org/pacis2024/track15_govce/track15_govce/5
Smart City Governance with Socio-technical Systems Theory: A Case Study and Analytical Framework of Shenzhen in China
This study explores Smart City Governance (SCG) through the lens of Socio-Technical Systems theory, focusing on Shenzhen, China. SCG leverages ICTs to enhance urban management and stakeholder engagement, but existing literature lacks a thorough understanding of the dynamic interactions between social and technical elements. This research aims to address this gap by examining how technological innovation and stakeholder engagement interact to achieve joint optimisations in SCG. The study identifies underlying causal mechanisms, namely mutual adaptation and co-evolution, and feedback loops, that highlight the need for continuous alignment between social and technical subsystems. The findings indicate that these interactions have transformed urban governance in Shenzhen into a highly efficient, transparent, and service-oriented process, enhancing stakeholder participation and collaboration. The study offers practical recommendations for SCG, namely clear objectives, diverse business models, and a focus on privacy and data security. These insights are valuable for policymakers and practitioners in similar urban contexts.
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Governance