Research Handbook on Public Management and Artificial Intelligence (Elgar Handbooks in Public Administration and Management)

This pioneering Research Handbook on Public Management and Artificial Intelligence provides a comprehensive overview of the potentials, challenges, and governance principles of AI in a public management context. Multidisciplinary in approach, it draws on a variety of jurisdictional perspectives and expertly analyses key topics relating to this socio-technical phenomenon. Showcasing contributions by a collection of eminent scholars from across the globe, this Research Handbook presents cutting-edge research on AI in public management. Organised into three parts corresponding with distinct foci of research, it explores the adoption and implementation of AI in public management settings, presents specific case studies and examples of AI in the public sector, and outlines future trends and directions in the evolution of AI adoption and use in public management. Based on empirical research from a global perspective, this Research Handbook will prove invaluable to practitioners, policymakers, and public managers both as users and co-creators of AI-enabled services. Researchers and academics in the fields of organisational innovation, public management, technology, public administration, and public policy will also find this to be an essential read. Front Matter Copyright Contents Advisory board and reviewers Contributors Foreword Acknowledgments Introduction to the Research Handbook on Public Management and Artificial Intelligence PART I Adoption and Implementation of AI in Public Management 1. Artificial intelligence algorithms and applications in the public sector: a systematic literature review based on the PRISMA approach 2. A trifold research synthesis on AI-induced service automation 3. AI in the public sector: fundamental operational questions and how to address them 4. Towards a systematic understanding on the challenges of public procurement of artificial intelligence in the public sector 5. Enhancing citizen service management through AI-enabled systems – a proposed AI readiness framework for the public sector 6. Measuring user-centricity in AI-enabled European public services: a proposal for enabling maturity models PART II Examples and Case Studies of AI in Public Management 7. Application of artificial intelligence by Poland’s public administration 8. The effect of algorithmic tools on public value considerations in participatory processes: the case of regulations.gov 9. Artificial intelligence and its regulation in representative institutions 10. Personalised public services powered by AI: the citizen digital twin approach 11. Enterprise data governance for artificial intelligence: implications from algorithmic jobseeker profiling applications in government PART III Forward-looking research on AI in public management 12. Taking stock and looking ahead – developing a science for policy research agenda on the use and uptake of AI in public sector organisations in the EU 13. Analysis of driving public values of AI initiatives in government in Europe 14. Challenges and design principles for the evaluation of productive AI systems in the public sector 15. Trustworthy public sector AI: research progress and future agendas Index