Aug 2026· Multidisciplinary Reviews· Vol 10, pp. 2027079· 0 citations· 28 references
TL;DR
A systematic review of the literature published between 2020 and 2025, conducted in accordance with the PRISMA guidelines to ensure methodological rigour and reliability, indicates that the adoption of artificial intelligence in public management control remains a critical issue.
Abstract
The public sector is undergoing a profound digital transformation characterised by the increasing integration of artificial intelligence into its management control practices. Concurrently, the optimisation of public performance and accountability has emerged as a central concern among scholars, particularly within the broader context of digital transition. This period of structural change calls for renewed forms of governance and organisational steering grounded in innovative and adaptive approaches. Research on artificial intelligence in public administration has developed significantly since the early 2020s, although the effective adoption of these technologies continues to present substantial challenges. This article offers a systematic review of the literature published between 2020 and 2025, conducted in accordance with the PRISMA guidelines to ensure methodological rigour and reliability. The content analysis is based on a corpus of twenty-five selected articles. The findings indicate that the adoption of artificial intelligence in public management control remains a critical issue. AI has contributed to innovation across five principal domains: financial auditing, budget forecasting, operational optimisation, public health, and legal support. These developments open promising avenues for enhancing the quality of public management, particularly through the effective implementation of technological innovations, the strengthening of institutional adaptability and resilience, the development of essential digital competencies, the cultivation of critical engagement with algorithmic systems, and the reinforcement of digital literacy among public officials. Nevertheless, significant ethical challenges persist, including algorithmic opacity, discriminatory bias, and tensions between efficiency and equity. Addressing these concerns requires the establishment of appropriate governance frameworks and the consolidation of broader societal acceptance.
The TOE-I structure developed here gives policymakers and public sector managers a shared vocabulary for diagnosing where their own agencies stand and where intervention would matter most, and suggests that AI adoption in government is less a technology problem than an organisational and human one.
Muhammad Shafeeq Mohd Sapian, H. Musa, N. Rashid et al.· International journal of res...· 0 citations
The SLR demonstrates that effective AI and digital platform governance demands a holistic, context-sensitive approach that actively balances efficiency with justice, innovation with accountability, and risk with public value.
The findings suggest that ensuring the ethical use of AI in public administration depends not only on technological solutions but also on digital literacy and the development of a hybrid governance ecosystem that integrates regulatory frameworks, technical auditing mechanisms, and mandatory human oversight (human-in-th...
A systematic literature review of 58 academic sources examining the effect of digital transformation and AI on crisis response outcomes in European public administration reveals significant gaps in research and suggests a broad research agenda in the future with emphasis on theoretical, methodological, and policy aspec...
A strong positive relationship was found between the use of AI and the four dimensions of corporate administration that were investigated, thereby suggesting that the proposed integrated framework could serve as a basis for developing a theory and organizational practice for the future.
Tulika Dutta Roy· International Journal of Mod...· 0 citations
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