What question did this study set out to answer?

The research aims to develop a framework that integrates the roles of AIoT in promoting sustainability in smart cities.

March 21, 2026

Artificial Intelligence of Things and Smart City Sustainability: Towards a Multidimensional Framework

Key Points

The research aims to develop a framework that integrates the roles of AIoT in promoting sustainability in smart cities.
Developed a conceptual model based on dynamic capabilities theory.
Identified key technological, strategic, and institutional factors affecting AIoT.
Analyzed how these factors contribute to urban sustainability initiatives.
AIoT enhances urban governance by improving sensing, seizing, and reconfiguring capabilities.
Technological, strategic, and institutional elements are essential for effective AIoT implementation.
Found that a combined approach to these dimensions leads to better sustainability outcomes.

Abstract

Research focusing on the adoption of artificial intelligence of things (AIoT) solutions in urban digitalization contexts address technological, strategic, and institutional levers separately. The key contribution of this study is a conceptual model grounded in dynamic capabilities theory, where these dimensions are blended to capture AIoT roles in establishing smart city sustainability. Specifically, AIoT is conceptualized as a facilitator that supports cities’ sensing, seizing, and reconfiguring capabilities. Key technological, strategic and institutional factors shaping AIoT as a player to enhance urban sustainability are identified. Implications for AIoT application in smart cities and its importance for improved and sustained urban governance are also presented.

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