Description
Book SynopsisThis 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.
Trade Review‘As AI makes an unprecedented leap forward, there are fundamental questions about the role it will and should play in government. This must-read volume brings together contributions from leaders in digital governance research from around the globe to answer these questions. With its truly international perspective and breadth, this is an essential reference for the AI era.’ -- Karen Mossberger, Arizona State University, US
Table of ContentsContents: Foreword xvi Introduction to the Research Handbook on Public Management and Artificial Intelligence 1 Yannis Charalabidis, Rony Medaglia and Colin van Noordt 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 8 David Valle-Cruz J., Ramon Gil-Garcia and Rodrigo Sandoval-Almazan 2 A trifold research synthesis on AI-induced service automation 27 Matthias Döring and Lisa Hohensinn 3 AI in the public sector: fundamental operational questions and how to address them 45 Muiris MacCarthaigh, Stanley Simoes and Deepak P. 4 Towards a systematic understanding on the challenges of public procurement of artificial intelligence in the public sector 62 Keegan McBride. Colin van Noordt, Gianluca Misuraca and Gerhard Hammerschmid 5 Enhancing citizen service management through AI-enabled systems – a proposed AI readiness framework for the public sector 79 Alvina Lee, Venky Shankararaman and Ouh Eng Lieh 6 Measuring user-centricity in AI-enabled European public services: a proposal for enabling maturity models 97 Francesco Niglia and Luca Tangi PART II EXAMPLES AND CASE STUDIES OF AI IN PUBLIC MANAGEMENT 7 Application of artificial intelligence by Poland’s public administration 118 Bartosz Rzycki, David Duenas-Cid and Aleksandra Przegalińska 8 The effect of algorithmic tools on public value considerations in participatory processes: the case of regulations.gov 136 Sarah Giest, Alex Ingrams and Bram Klievink 9 Artificial intelligence and its regulation in representative institutions 149 Fotios Fitsilis and Patricia Gomes Rêgo de Almeida 10 Personalised public services powered by AI: the citizen digital twin approach 168 Aleksi Kopponen, Antti Hahto, Tero Villman, Petri Kettunen, Tommi Mikkonen and Matti Rossi 11 Enterprise data governance for artificial intelligence: implications from algorithmic jobseeker profiling applications in government 185 Luis Felipe Luna-Reyes and Teresa M. Harrison 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 206 Luca Tangi, Peter Ulrich, Sven Schade and Marina Manzoni 13 Analysis of driving public values of AI initiatives in government in Europe 224 Colin van Noordt, Gianluca Misuraca and Ines Mergel 14 Challenges and design principles for the evaluation of productive AI systems in the public sector 243 Per Rådberg Nagbøl, Oliver Krancher and Oliver Müller 15 Trustworthy public sector AI: research progress and future agendas 260 Naomi Aoki, Melvin Tay and Masaru Yarime
