About the Journal | Journal of State Management

Original Research Published: 26 Sep 2026

Smart Governance Framework: A Twin-Process Digital Architecture Enabled by AI Orchestration and Shared Data Interoperability

Chien Nguyen Ba, Vuong Tran Tien

Assoc. Prof. Dr. Nguyen Ba Chien
Academy of Public Administration and Governance

MA. Tran Tien Vuong
Academy of Public Administration and Governance

Existing digital-government maturity models often emphasize internal administrative capabilities, citizen-facing services, or aggregate these dimensions into a single maturity construct, providing limited insight into how the two evolve as an integrated system. This paper develops the Twin-Process Digital Architecture (TPDA). This conceptual framework reconceptualizes digital transformation as the synchronized evolution of internal administrative processes (Track A) and citizen-facing service delivery (Track B). Grounded in Public Value Theory and informed by street-level bureaucracy and co-creation scholarship, TPDA connects the two tracks through an integration layer comprising data interoperability, API-enabled system integration, and AI orchestration. The framework proposes a four-stage joint maturity roadmap - digitization, interoperability, AI integration, and co-creation - and introduces the synchronization gap as a diagnostic concept for identifying uneven development between the two tracks. Positioned as a meso-level complement to macro-level digital-government architectures, TPDA offers a relational perspective on coordinating administrative capacity and citizen-facing services. The paper contributes a conceptual framework, a practical diagnostic roadmap for public managers, and testable propositions for future empirical research.

Smart governance digital transformation public value twin-process architecture AI orchestration data interoperability street-level bureaucracy citizen trust

10.59394/JSM.150

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Original Research Published: 26 Sep 2026

Public Employment Reform, Budget Efficiency, and Governance Quality: a Panel-data Analysis from Viet Nam’s Civil Service Transformation

Thanh Nguyen Nghi , Hanh Doan Thi My

Assoc. Prof. Dr. Nguyen Nghi Thanh
Academy of Public Administration and Governance

MA. Doan Thi My Hanh
Academy of Public Administration and Governance

This research examines the role of public employment reform in improving budget efficiency and governance quality in Viet Nam during 2015 - 2023, the available empirical period corresponding to the implementation of civil service reform under the Politburo’s Resolution No. 39-NQ/TW dated April 17, 2015, on downsizing and restructuring of cadres, civil servants and public employees. Drawing on New Public Management (NPM) and comparative public administration reform literature, the study uses a balanced provincial panel dataset covering 63 provincial-level administrative units over nine years, yielding 567 province-year observations. The analysis estimates Pooled OLS, Fixed Effects (FE), and Random Effects (RE) models and applies the Hausman specification test to identify the preferred panel-data estimator. The findings indicate that staff reduction is positively associated with budget efficiency and governance quality. At the same time, digital transformation is directly related to better governance outcomes and strengthens the relationship between downsizing and governance quality. Training investment has a modest positive association with governance performance. In contrast, the wage reform index is not consistently significant, suggesting that wage reform has not yet been sufficiently linked to performance-based incentives. The study concludes that public employment reform can generate meaningful gains in state performance when integrated with digital transformation, professional capacity-building, and institutional accountability. The Vietnamese case offers useful lessons for developing countries seeking to modernize public administration under fiscal and institutional constraints.

Public employment reform budget efficiency governance quality civil service downsizing digital transformation Viet Nam New Public Management panel-data regression

10.59394/JSM.151

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Original Research Published: 26 Sep 2026

Commune-level Development Data Governance in Digital Government: Institutional Gaps and the Responsibility-Data Alignment Framework

Dinh Bui Phuong

Dr. Bui Phuong Dinh
Academy of Public Administration and Governance

This policy-oriented review examines the theoretical and institutional foundations of commune-level development data governance in the context of Viet Nam’s two-tier local government model and evolving national data architecture. Drawing on legal and policy documents, academic literature, and authoritative international sources, it identifies institutional design gaps between commune-level development responsibilities and the data conditions needed to carry them out. The article proposes two closely related concepts: Commune-Level Development Data Governance (CDDG) and the Responsibility-Data Alignment Framework (RDAF). RDAF systematizes the relationships among governance responsibilities, functional data needs, data rights, operational mechanisms, data-use capacity, and public value. This analysis focuses on institutional design rather than the empirical performance of individual localities.

Data governance digital government commune-level government commune-level development data governance responsibility-data alignment public value

10.59394/JSM.152

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