What question did this study set out to answer?

The aim is to explore how smart city governance networks evolve in response to digital uncertainties.

Navigating the digital transformation: unravelling the dynamic evolution of smart city collaborative governance networks

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Randomized trial examines governance structures in smart city initiatives, highlighting collaboration dynamics.

The aim is to explore how smart city governance networks evolve in response to digital uncertainties.
Employs stochastic actor-oriented models to analyze governance networks.
Examines 3482 smart city projects in China.
Utilizes collaborative governance theory to understand network evolution.
Identified three governance patterns: government-dominated, government-SOE hybrid, and multi-stakeholder.
Found that transitive triads, age similarity, geographic proximity, and size heterogeneity promote network evolution.
Outdegree was identified as a constraint on the evolution of governance structures.

Wu et al. (2026) studied this question.

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