Demographic Shifts and Digital Innovation in the Public Sector

Erscheinungsjahr 2025
ISBN: 978-3-031-89710-8
Verlag: Springer Nature Switzerland

Buch, Englisch, 109 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 201 g

Reihe: SpringerBriefs in Entrepreneurship and Innovation

This book examines the impact of demographic decline on digital innovation in the public sector. Utilizing data from Italian municipalities, it provides quantitative and qualitative analyses to reveal the negative impact of demographic decline on digital innovation, which presents a unique challenge for policymakers seeking to foster technological advances in a shrinking, ageing society. This book also investigates the roles of macro-level social, economic, demographic, and administrative factors in the innovation of public organizations.  

By highlighting these broader demographic dynamics, this book challenges existing theories of public sector innovation, urging greater attention to slow-moving external factors as critical drivers of long-term innovation strategies.

Zielgruppe

Research

Autoren/Hrsg.

Di Loreto, Manuel

Demircioglu, Mehmet Akif

Suzuki, Kohei

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Management Forschung & Entwicklung (F&E), Innovation
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Öffentlicher Dienst, Öffentlicher Sektor
• Rechtswissenschaften Öffentliches Recht Verwaltungsrecht Verwaltungspraxis Public Management
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Demographie, Demoskopie

Inhaltsverzeichnis

.- 1. Introduction: Innovation in the context of demographic decline.

.- 2. Demographic Transition Theories and Innovation.

.- 3. Methodology and Research Design.

.- 4. Quantitative Analysis.

.- 5. Illustrative Case Study: the cases of Biella and Vercelli.

.- 6. General Discussion and Conclusion.

.- 7. Appendix.

Über Autor(innen)

Manuel Di Loreto is a graduate in Public Administration from Leiden University in the Netherlands. His research interests lie at the intersection of public administration, public policy, and comparative politics, with a focus on how innovation and smart governance practices reshape public organizations, affect their performance, and lead to broader societal, economic, and environmental outcomes. He is an expert in statistical programming and in both quantitative and qualitative methods.

Kohei Suzuki is an Assistant Professor at the Institute of Public Administration, Leiden University in the Netherlands, and holds the title of docent (Associate Professor) in Political Science at the University of Gothenburg, Sweden. Suzuki's research focuses on comparative public administration, examining bureaucratic structures, quality of government, and gender representation. His work has been published in leading journals. Suzuki has received the 2024 Midwest Political Science Association's (MPSA) Kenneth J. Meier Award for the best paper in bureaucratic politics, public administration, and public policy. He co-leads international research projects funded by the Swedish Research Council and the Dutch Research Council, investigating civil servants' professional norms and citizens' perceptions of good governance across multiple countries.

Mehmet Akif Demircioglu is an Associate Professor at the School of Public Policy and Administration at Carleton University in Canada and is listed among the top 2% most-cited scientists globally (Stanford University & Elsevier). He is also an Executive Education Fellow at the Lee Kuan Yew School of Public Policy (National University of Singapore), a Senior Fellow at the Smart Government Lab (University of St. Gallen), a joint researcher at The Institute for Future Government (Yonsei University), a research fellow at the Institute for Development Strategies (Indiana University), and a fellow at the Center for Organization Research and Design (Arizona State University). He is the Book Review Editor for  and an Associate Editor for  and . He has also co-authored a book with David Audretsch  (Cambridge University Press, 2024).