David Valle-Cruz, Rigoberto García-Contreras

Towards AI-driven transformation and smart data management: Emerging technological change in the public sector value chain

  • Public Administration
  • Sociology and Political Science
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Governments worldwide are beginning to implement AI-based services to exploit data and seek solutions that provide value to citizens and assist in decision-making. AI-driven transformation and smart data management can replace the workforce or enhance it. This paper focuses on exploring AI-driven transformation and smart data management in the public sector value chain. Guided by two research questions, a systematic literature review was conducted using the PRISMA approach, complemented with empirical evidence on the emerging technological change applied to management levels and decision-makers in the public sector. The needs related to AI-driven transformation and smart data management for the public sector are characterized by an operational transformation, which includes human resources and know-how as the spearhead. Challenges have to do with the generation of efficient and transparent services that provide public value and promote the benefit of society. Some implications are related to governments deciding to plan digitalization that allows them to take advantage of the emerging technological change to improve activities along the value chain.

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