公共部门
公共价值
劳动力
业务
新兴技术
价值(数学)
价值链
知识管理
利用
平面图(考古学)
过程管理
计算机科学
供应链
营销
经济
公共关系
计算机安全
政治学
经济增长
考古
人工智能
经济
机器学习
历史
作者
David Valle-Cruz,Rigoberto García-Contreras
标识
DOI:10.1177/09520767231188401
摘要
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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