Ojo, Adegboyega and Mellouli, Sehl and Zeleti, Fatemeh Ahmadi (2019) A Realist Perspective on AI-era Public Management. In: Proceedings of the 20th International Conference on Digital Government. Association for Computing Machinery, New York, United States, pp. 159-170. ISBN 9781450372046

Preview

Download (1MB) | Preview

Abstract

Recent years have witnessed a number of significant ideas and approaches to addressing the shortcomings of the New Public Management paradigm. Three of these recent ideas, which include Digital Era Governance, Public Value Management, and New Public Governance, emphasise partnerships collaboration and engagement of citizens; performance governance and innovation and recognize the transformational potentials of digital technologies. Artificial Intelligence (AI) is one of the digital technologies attracting the greatest interest in public administration in terms of its potential impact. There are already a number of reports on how AI is being deployed in the public sector with good outcomes. By employing a realist review approach, this study investigates the specific mechanisms across post-NPM, organisational, individual and innovation contexts which are associated with positive outcomes from AI initiatives in the public sector. The study further examined the specific applications of AI initiatives within Post-NPM agendas. Our findings provide some empirical evidence for a better understanding of the conditions and where to target AI-based solutions in post-NPM context for positive outcomes.

Item Type:	Book Section
Additional Information:	Cite as: Adegboyega Ojo, Sehl Mellouli, and Fatemeh Ahmadi Zeleti. 2019. A Realist Perspective on AI-era Public Management*. In Proceedings of the 20th Annual International Conference on Digital Government Research (dg.o 2019). Association for Computing Machinery, New York, NY, USA, 159–170. DOI:https://doi.org/10.1145/3325112.3325261
Keywords:	AI and Public Sector; Post-New Public Management; Realist Evaluation; AI Adoption in Government;
Academic Unit:	Faculty of Social Sciences > School of Business Faculty of Social Sciences > Research Institutes > Innovation Value Institute, IVI
Item ID:	14356
Identification Number:	https://doi.org/10.1145/3325112.3325261
Depositing User:	Adegboyega Ojo
Date Deposited:	20 Apr 2021 15:21
Publisher:	Association for Computing Machinery
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

Repository Staff Only(login required)

Item control page

Downloads

Origin of downloads