Edited by Yannis Charalabidis, Professor of Digital Governance, Department of Information and Communication Systems Engineering, University of the Aegean, Greece, Rony Medaglia, Professor with special responsibilities in Digitalization and the UN Sustainable Development Goals, Department of Digitalization, Copenhagen Business School, Denmark and Colin van Noordt, Public Governance Institute, KU Leuven, Belgium

‘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.’

• Contents:Foreword xviIntroduction to the Research Handbook on Public Management and ArtificialIntelligence 1Yannis Charalabidis, Rony Medaglia and Colin van NoordtPART I ADOPTION AND IMPLEMENTATION OF AI IN PUBLICMANAGEMENT1 Artificial intelligence algorithms and applications in the public sector:a systematic literature review based on the PRISMA approach 8David Valle-Cruz J., Ramon Gil-Garcia and Rodrigo Sandoval-Almazan2 A trifold research synthesis on AI-induced service automation 27Matthias Döring and Lisa Hohensinn3 AI in the public sector: fundamental operational questions and how toaddress them 45Muiris MacCarthaigh, Stanley Simoes and Deepak P.4 Towards a systematic understanding on the challenges of publicprocurement of artificial intelligence in the public sector 62Keegan McBride. Colin van Noordt, Gianluca Misuraca and GerhardHammerschmid5 Enhancing citizen service management through AI-enabled systems –a proposed AI readiness framework for the public sector 79Alvina Lee, Venky Shankararaman and Ouh Eng Lieh6 Measuring user-centricity in AI-enabled European public services:a proposal for enabling maturity models 97Francesco Niglia and Luca TangiPART II EXAMPLES AND CASE STUDIES OF AI IN PUBLIC MANAGEMENT7 Application of artificial intelligence by Poland’s public administration 118Bartosz Rzycki, David Duenas-Cid and Aleksandra Przegalińska8 The effect of algorithmic tools on public value considerations inparticipatory processes: the case of regulations.gov 136Sarah Giest, Alex Ingrams and Bram Klievink9 Artificial intelligence and its regulation in representative institutions 149Fotios Fitsilis and Patricia Gomes Rêgo de Almeida10 Personalised public services powered by AI: the citizen digital twin approach 168Aleksi Kopponen, Antti Hahto, Tero Villman, Petri Kettunen, TommiMikkonen and Matti Rossi11 Enterprise data governance for artificial intelligence: implications fromalgorithmic jobseeker profiling applications in government 185Luis Felipe Luna-Reyes and Teresa M. HarrisonPART III FORWARD-LOOKING RESEARCH ON AI IN PUBLICMANAGEMENT12 Taking stock and looking ahead – developing a science for policyresearch agenda on the use and uptake of AI in public sectororganisations in the EU 206Luca Tangi, Peter Ulrich, Sven Schade and Marina Manzoni13 Analysis of driving public values of AI initiatives in government in Europe 224Colin van Noordt, Gianluca Misuraca and Ines Mergel14 Challenges and design principles for the evaluation of productive AIsystems in the public sector 243Per Rådberg Nagbøl, Oliver Krancher and Oliver Müller15 Trustworthy public sector AI: research progress and future agendas 260Naomi Aoki, Melvin Tay and Masaru Yarime

Edited by Yannis Charalabidis, Professor of Digital Governance, Department of Information and Communication Systems Engineering, University of the Aegean, Greece, Rony Medaglia, Professor with special responsibilities in Digitalization and the UN Sustainable Development Goals, Department of Digitalization, Copenhagen Business School, Denmark and Colin van Noordt, Public Governance Institute, KU Leuven, Belgium

‘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.’

• Contents:Foreword xviIntroduction to the Research Handbook on Public Management and ArtificialIntelligence 1Yannis Charalabidis, Rony Medaglia and Colin van NoordtPART I ADOPTION AND IMPLEMENTATION OF AI IN PUBLICMANAGEMENT1 Artificial intelligence algorithms and applications in the public sector:a systematic literature review based on the PRISMA approach 8David Valle-Cruz J., Ramon Gil-Garcia and Rodrigo Sandoval-Almazan2 A trifold research synthesis on AI-induced service automation 27Matthias Döring and Lisa Hohensinn3 AI in the public sector: fundamental operational questions and how toaddress them 45Muiris MacCarthaigh, Stanley Simoes and Deepak P.4 Towards a systematic understanding on the challenges of publicprocurement of artificial intelligence in the public sector 62Keegan McBride. Colin van Noordt, Gianluca Misuraca and GerhardHammerschmid5 Enhancing citizen service management through AI-enabled systems –a proposed AI readiness framework for the public sector 79Alvina Lee, Venky Shankararaman and Ouh Eng Lieh6 Measuring user-centricity in AI-enabled European public services:a proposal for enabling maturity models 97Francesco Niglia and Luca TangiPART II EXAMPLES AND CASE STUDIES OF AI IN PUBLIC MANAGEMENT7 Application of artificial intelligence by Poland’s public administration 118Bartosz Rzycki, David Duenas-Cid and Aleksandra Przegalińska8 The effect of algorithmic tools on public value considerations inparticipatory processes: the case of regulations.gov 136Sarah Giest, Alex Ingrams and Bram Klievink9 Artificial intelligence and its regulation in representative institutions 149Fotios Fitsilis and Patricia Gomes Rêgo de Almeida10 Personalised public services powered by AI: the citizen digital twin approach 168Aleksi Kopponen, Antti Hahto, Tero Villman, Petri Kettunen, TommiMikkonen and Matti Rossi11 Enterprise data governance for artificial intelligence: implications fromalgorithmic jobseeker profiling applications in government 185Luis Felipe Luna-Reyes and Teresa M. HarrisonPART III FORWARD-LOOKING RESEARCH ON AI IN PUBLICMANAGEMENT12 Taking stock and looking ahead – developing a science for policyresearch agenda on the use and uptake of AI in public sectororganisations in the EU 206Luca Tangi, Peter Ulrich, Sven Schade and Marina Manzoni13 Analysis of driving public values of AI initiatives in government in Europe 224Colin van Noordt, Gianluca Misuraca and Ines Mergel14 Challenges and design principles for the evaluation of productive AIsystems in the public sector 243Per Rådberg Nagbøl, Oliver Krancher and Oliver Müller15 Trustworthy public sector AI: research progress and future agendas 260Naomi Aoki, Melvin Tay and Masaru Yarime

Edited by Yannis Charalabidis, Professor of Digital Governance, Department of Information and Communication Systems Engineering, University of the Aegean, Greece, Rony Medaglia, Professor with special responsibilities in Digitalization and the UN Sustainable Development Goals, Department of Digitalization, Copenhagen Business School, Denmark and Colin van Noordt, Public Governance Institute, KU Leuven, Belgium

‘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.’

• Contents:Foreword xviIntroduction to the Research Handbook on Public Management and ArtificialIntelligence 1Yannis Charalabidis, Rony Medaglia and Colin van NoordtPART I ADOPTION AND IMPLEMENTATION OF AI IN PUBLICMANAGEMENT1 Artificial intelligence algorithms and applications in the public sector:a systematic literature review based on the PRISMA approach 8David Valle-Cruz J., Ramon Gil-Garcia and Rodrigo Sandoval-Almazan2 A trifold research synthesis on AI-induced service automation 27Matthias Döring and Lisa Hohensinn3 AI in the public sector: fundamental operational questions and how toaddress them 45Muiris MacCarthaigh, Stanley Simoes and Deepak P.4 Towards a systematic understanding on the challenges of publicprocurement of artificial intelligence in the public sector 62Keegan McBride. Colin van Noordt, Gianluca Misuraca and GerhardHammerschmid5 Enhancing citizen service management through AI-enabled systems –a proposed AI readiness framework for the public sector 79Alvina Lee, Venky Shankararaman and Ouh Eng Lieh6 Measuring user-centricity in AI-enabled European public services:a proposal for enabling maturity models 97Francesco Niglia and Luca TangiPART II EXAMPLES AND CASE STUDIES OF AI IN PUBLIC MANAGEMENT7 Application of artificial intelligence by Poland’s public administration 118Bartosz Rzycki, David Duenas-Cid and Aleksandra Przegalińska8 The effect of algorithmic tools on public value considerations inparticipatory processes: the case of regulations.gov 136Sarah Giest, Alex Ingrams and Bram Klievink9 Artificial intelligence and its regulation in representative institutions 149Fotios Fitsilis and Patricia Gomes Rêgo de Almeida10 Personalised public services powered by AI: the citizen digital twin approach 168Aleksi Kopponen, Antti Hahto, Tero Villman, Petri Kettunen, TommiMikkonen and Matti Rossi11 Enterprise data governance for artificial intelligence: implications fromalgorithmic jobseeker profiling applications in government 185Luis Felipe Luna-Reyes and Teresa M. HarrisonPART III FORWARD-LOOKING RESEARCH ON AI IN PUBLICMANAGEMENT12 Taking stock and looking ahead – developing a science for policyresearch agenda on the use and uptake of AI in public sectororganisations in the EU 206Luca Tangi, Peter Ulrich, Sven Schade and Marina Manzoni13 Analysis of driving public values of AI initiatives in government in Europe 224Colin van Noordt, Gianluca Misuraca and Ines Mergel14 Challenges and design principles for the evaluation of productive AIsystems in the public sector 243Per Rådberg Nagbøl, Oliver Krancher and Oliver Müller15 Trustworthy public sector AI: research progress and future agendas 260Naomi Aoki, Melvin Tay and Masaru Yarime