公共部门
政府(语言学)
背景(考古学)
公司治理
领域(数学)
光学(聚焦)
公共政策
政治学
公共关系
管理科学
社会学
经济
管理
法学
古生物学
哲学
语言学
物理
数学
光学
纯数学
生物
作者
Bernd W. Wirtz,Paul F. Langer,Carolina Fenner
标识
DOI:10.1080/01900692.2021.1947319
摘要
Artificial intelligence (AI) is becoming increasingly important for the public sector. As the number of studies in this field increases, this study provides a systematic overview of the current literature on AI in the public sector. Therefore, key findings and implications of the literature are highlighted and recommendations for further research are provided. The study is based on a quantitative and qualitative analysis of 189 selected articles. It draws on findings from previous review studies and compares them with new findings from current studies. Overall, it shows that the current state of research is heterogeneous and thematically and methodologically unbalanced. Many studies on AI in the government context focus on governance and administration, while more specific application areas receive less attention. Studies to date focus in detail on changes to existing government structures, while the creation of entirely new structures due to new AI technologies is given less consideration.
科研通智能强力驱动
Strongly Powered by AbleSci AI