Algorithms for a new season? Mapping a decade of research on the artificial intelligence-driven digital transformation of public administration DOI
Yanto Chandra, Naishi Feng

Public Management Review, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 35

Published: Jan. 18, 2025

This article reviews a decade (2013–2023) of scholarly discourse to deepen our understanding the AI-driven digital transformation public administration (PA). Structural topic modelling and manual coding 169 articles that focused on contextual conditions, mechanisms, outcomes, policies revealed various topics. Findings show focus and, lesser extent, with algorithmic decision-making as key theme. Issues like trustworthiness, bias, accountability in bureaucracies are highlighted. Research gaps include insufficient exploration conditions policy implementation, narrow organizational ethical outcomes. A research agenda is suggested.

Language: Английский

The impact of chatbots on public service provision: A qualitative interview study with citizens and public service providers DOI Creative Commons
Anna Grøndahl Larsen, Asbjørn Følstad

Government Information Quarterly, Journal Year: 2024, Volume and Issue: 41(2), P. 101927 - 101927

Published: March 23, 2024

Chatbots are increasingly taken up by public service providers, yet the implications of taking this technology as part provision is understudied. Based on a thematic analysis 34 in-depth interviews with citizens and providers concerning chatbot for municipal information delivery, article contributes insights how chatbots impact value creation. Theoretically, we draw theory, analyzing chatbots' services, administration, relationship between providers. Our shows that have an values creation, particularly improving citizens' access to services into needs. The findings suggest experience improvement in terms efficiency, albeit not massive shift. Simultaneously, potential more profound changes administration gain better citizen needs respond these accordingly.

Language: Английский

Citations

13

Unlocking Artificial Intelligence Adoption in Local Governments: Best Practice Lessons from Real-World Implementations DOI Creative Commons
Tan Yiğitcanlar, Anne David, Wenda Li

et al.

Smart Cities, Journal Year: 2024, Volume and Issue: 7(4), P. 1576 - 1625

Published: June 28, 2024

In an era marked by rapid technological progress, the pivotal role of Artificial Intelligence (AI) is increasingly evident across various sectors, including local governments. These governmental bodies are progressively leveraging AI technologies to enhance service delivery their communities, ranging from simple task automation more complex engineering endeavours. As governments adopt AI, it imperative understand functions, implications, and consequences these advanced technologies. Despite growing importance this domain, a significant gap persists within scholarly discourse. This study aims bridge void exploring applications context government provision. Through inquiry, seeks generate best practice lessons for smart city initiatives. By conducting comprehensive review grey literature, we analysed 262 real-world implementations 170 worldwide. The findings underscore several key points: (a) there has been consistent upward trajectory in adoption over last decade; (b) China, US, UK at forefront adoption; (c) among technologies, natural language processing robotic process emerge as most prevalent ones; (d) primarily deploy 28 distinct services; (e) information management, back-office work, transportation traffic management leading domains terms adoption. enriches existing body knowledge providing overview current sphere governance. It offers valuable insights policymakers decision-makers considering adoption, expansion, or refinement urban Additionally, highlights using guide successful integration optimisation future projects, ensuring they meet evolving needs communities.

Language: Английский

Citations

10

Data-driven Technology, Organizational Structure, and Interdepartmental Data Sharing: The Case of Government-led Digital Projects in Guangzhou DOI
Jin Xiao, Yixin Dai

Chinese Political Science Review, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 9, 2024

Language: Английский

Citations

9

Assessing AI Adoption in Developing Country Academia: A Trust and Privacy-Augmented UTAUT Framework DOI Creative Commons

Md. Masud Rana,

Mohammad Safaet Siddiqee,

Md. Nazmus Sakib

et al.

Heliyon, Journal Year: 2024, Volume and Issue: unknown, P. e37569 - e37569

Published: Sept. 1, 2024

Language: Английский

Citations

9

Algorithms for a new season? Mapping a decade of research on the artificial intelligence-driven digital transformation of public administration DOI
Yanto Chandra, Naishi Feng

Public Management Review, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 35

Published: Jan. 18, 2025

This article reviews a decade (2013–2023) of scholarly discourse to deepen our understanding the AI-driven digital transformation public administration (PA). Structural topic modelling and manual coding 169 articles that focused on contextual conditions, mechanisms, outcomes, policies revealed various topics. Findings show focus and, lesser extent, with algorithmic decision-making as key theme. Issues like trustworthiness, bias, accountability in bureaucracies are highlighted. Research gaps include insufficient exploration conditions policy implementation, narrow organizational ethical outcomes. A research agenda is suggested.

Language: Английский

Citations

1