Designing a Data-Driven Smart Governance Model for Urban Management

Abstract

Digital transformation in urban management has positioned data as the primary driver of policy formulation and administrative decision-making. Consequently, designing a smart governance model capable of functioning on integrated, high-quality data has become essential. This study aims to develop a comprehensive data-driven smart governance framework using a mixed exploratory approach. In the qualitative phase, semi-structured interviews were conducted with 20 experts in urban management, data governance, and ICT, and thematic analysis was applied to extract core dimensions. The quantitative phase involved a survey of 385 municipal managers and specialists. Findings reveal that data-driven governance rests upon four critical pillars: data infrastructure, AI-based analytical systems, digital transparency and oversight, and platform-based citizen participation. The results further indicate that alignment between institutional structure, organizational culture, and digital maturity plays a decisive role in the success of smart governance. The proposed model serves as a practical roadmap for urban organizations seeking to enhance efficiency, transparency, equity, and responsiveness through data-driven governance.