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Research Handbook on Public Management and Artificial Intelligence
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.
This title contains one or more Open Access chapters.
This title contains one or more Open Access chapters.
More Information
Critical Acclaim
Contributors
Contents
More Information
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.
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.
Critical Acclaim
‘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
– Karen Mossberger, Arizona State University, US
Contributors
Contributors include: Naomi Aoki, Yannis Charalabidis, Matthias Döring, David Duenas-Cid, Ouh Eng Lieh, Fotios Fitsilis, Sarah Giest, J. Ramon Gil-Garcia, Patricia Gomes Rêgo de Almeida, Antti Hahto, Teresa M. Harrison, Gerhard Hammerschmid, Alex Ingrams, Petri Kettunen, Bram Klievink, Aleksi Kopponen, Oliver Krancher, Alvina Lee, Luis Felipe Luna-Reyes, Muiris MacCarthaigh, Marina Manzoni, Keegan McBride, Rony Medaglia, Ines Mergel, Tommi Mikkonen, Gianluca Misuraca, Oliver Müller, Per Rådberg Nagbøl, Francesco Niglia, Deepak P., Theodoros Papadopoulos, Aleksandra Przegalińska, Matti Rossi, Bartosz Rzycki, Rodrigo Sandoval-Almazan, Sven Schade, Lisa Schmidthuber, Venky Shankararaman, Stanley Simoes, Luca Tangi, Melvin Tay, Peter Ulrich, David Valle-Cruz, Colin van Noordt, Tero Villman, Masaru Yarime
Contents
Contents:
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
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
