Research Handbook on Public Management and Artificial Intelligence

Yannis Charalabidis, Rony Medaglia, Colin van Noordt (Herausgeber)

Buch | Hardcover

302 Seiten

2024
Edward Elgar Publishing Ltd (Verlag)
978-1-80220-733-0 (ISBN)

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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.

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, PhD Researcher, Ragnar Nurkse Department of Innovation and Governance, Tallinn TalTech, Estonia

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

Erscheinungsdatum	10.02.2024
Reihe/Serie	Elgar Handbooks in Public Administration and Management
Verlagsort	Cheltenham
Sprache	englisch
Maße	169 x 244 mm
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Themenwelt	Sozialwissenschaften ► Politik / Verwaltung ► Staat / Verwaltung
ISBN-10	1-80220-733-3 / 1802207333
ISBN-13	978-1-80220-733-0 / 9781802207330
Zustand	Neuware