Big Data Model for Third-party Stability Assessment of Major Decisions: Generation Logic and Path Construction

Abstract

The role of digital and intelligent technology in social risk governance and assessment is increasingly prominent. However, existing research often focuses on the technical aspects of development, neglecting the synergy and integration between technology and administrative practices. To address this, the paper constructs a four-dimensional theoretical analysis framework based on collaborative governance theory, which includes “subject integration, object unification, relationship coupling, and function complementation.” This framework is applied in a case study to analyze the generation logic and pathway construction of the third-party stability assessment the “big data” model adopted by City A. The study concludes that the dominant role of administrative efficiency is core, the supportive role of technological empowerment is key, and the participatory role of social forces is essential in building the pathway. These findings provide empirical support for the digital construction of major decision-making third-party stability assessment nationwide. They offer new perspectives to enhance governance efficiency and contribute to the ongoing improvement and high-quality development of major decision-making processes in social stability risk governance and assessment.