Modeling the Dynamics of Agile Governance in the Era of Digital Transformation: A Fuzzy Inference System Approach for the Public Sector

Document Type : Original Article

Authors

1 Department of Public Administration, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran

2 Depatment of Technology Management, Qom Branch. Islamic Azad University, Qom, Iran

10.22098/cpa.2025.17946.1123

Abstract

Context and Purpose: The accelerated pace of digital transformation is challenging traditional public sector governance models. Agile governance has emerged as a new paradigm to address this complexity. However, the dynamic, non-linear relationship between digital transformation goals and required agile governance capabilities remains underexplored. This study aimed to design and validate a predictive model to simulate these complex dynamics within Iran's public sector.
Methodology: This applied research used a survey-analytical method for data collection. An exploratory-applied hybrid methodology was employed, based on a Mamdani-type fuzzy inference system. Dimensions and components from the literature were confirmed via a fuzzy Delphi method, achieving consensus among 16 experts. Using fuzzy inference and MATLAB software, fuzzy rules were determined, and a predictive model was designed with three digital transformation input variables and six agile governance output variables.
Findings: The study identified agile governance components in Iran's digital transformation context, including:context dimensions: flexible decision-making, citizen-centricity, and agile accountability.Process dimensions: agile and lean methods, and stakeholder collaboration. Structural dimensions: adaptive organizational capacity and flexible, responsive structures.A complex, non-linear relationship between agile governance dimensions and digital transformation was identified and confirmed.
Conclusion: The relationship between digital transformation and agile governance is dynamic and characterized by complex interdependencies. The research's main innovation is developing a predictive, diagnostic tool that moves beyond descriptive frameworks. This model provides a strategic roadmap for policymakers and public sector managers to identify and prioritize the agile governance capabilities needed to support digital transformation goals.

Keywords

Comparative Studies in Public Administration
Volume 3, Issue 3
December 2025

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History

  • Receive Date: 04 October 2025
  • Revise Date: 01 November 2025
  • Accept Date: 11 November 2025

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