1,721,004 research outputs found
How to Cover Citizens’ Need in Making Mandatory the e-Government Channel: Evidences from Italian Local Government
Get PDFA snapshot of AI-solutions in the public sector
Get PDFThe implementation of Artificial Intelligence (AI) in public settings is not a new topic. However, only recently it gained momentum, and practitioners started investigating the potentialities of this technology also within the public boundaries. On the opposite scholars rarely focus on AI, leaving an urgent gap to fill. Moreover the current body of literature is muddleheaded and scholars fatigue in disentangling and clarifying the various domains and fields of analysis. This paper aims at providing an overview of the state-of-the-art of AI applications, in order to explore the trends and identify promising paths for future research. For doing that it relies on an original and up-to-date study of existing AI projects worldwide
Exploring e-maturity in Italian local governments: empirical results from a three-step latent class analysis
Get PDFThis article undertakes a quantitative and holistic approach to frame a model of e-maturity in local governments, defined as the extent to which technologies permeate public service delivery. Moreover, the study adds evidence on the performance associated with different levels of e-maturity. In so doing, we collect survey data from 814 Italian local governments and integrate it with secondary sources. We propose a new angle for assessing e-maturity at the local government level, where the novel approach is the categorisation of public services on the basis of their final users. The application of a latent class analysis shows that the level of e-maturity is quite limited among Italian local governments and that most of them tend to prioritise government-to-business rather than government-to-citizen services in their digitisation process. A high level of e-maturity is associated with greater effectiveness rather than efficiency. Points for practitioners: • When assessing e-maturity, municipalities should treat differently Government to Citizen and Government to Business services. • Currently, municipalities are focused more on the digitization of Government to Business services. • Socio-economic and environmental factors have a partial effect on e-maturity. The size of the municipality and the income per capita are the most significant indicators. • E-maturity raises effectiveness without a clear effect on efficiency. Only when reaching a fully accomplished e-maturity a slight effect on municipalities' expenditures can be detected
How to Cover Citizens’ Need in Making a Mandatory e-Government Channel Migration: Evidences from Italian Local Government
No full textExploring the factors, affordances and constraints outlining the implementation of Artificial Intelligence in public sector organizations
Get PDFArtificial Intelligence (AI) is viewed as having great potential for the public sector to improve the management of internal activities and the delivery of public services. However, realizing its potential depends on the proper implementation of the technology, which is characterized by unique factors, that afford or constrain its use. What these factors are and how they affect AI implementation is still poorly understood, and scholars call for studies to add empirical evidence to the existing knowledge. This study relies on a case study methodology and, by adopting an abductive approach, applies a double theoretical perspective: the Technology-Organization-Environment (TOE) framework and the Technology Affordances and Constraints Theory (TACT). Drawing on these combined lenses, we develop a conceptual framework that extends previous studies by showing how AI implementation is the result of a combination of contextual factors that are deeply interrelated and, specifically, how AI-related factors bring new affordances and constraints to the application domain
The spread of Artificial Intelligence in the public sector: a worldwide overview
Get PDFThe implementation of Artificial Intelligence (AI) in public settings is not a new topic. However, only recently it gained momentum, and practitioners started investigating the potentialities of this technology also within the public boundaries. Public sector plays a pivotal role in AI development both considering legislation advancement and application development, though scholars rarely focus on it, leaving an urgent gap to fill. Moreover the current body of literature is muddleheaded and scholars fatigue in disentangling and clarifying the various domains and fields of analysis. Based on these considerations, this paper aims at offering two main contributions: i) it provides a taxonomy for mapping the features of AI projects and then ii) analyzes the current trends in the development of such projects using the abovementioned taxonomy. This analysis allows us to provide a worldwide overview of the current widespread of AI applications, in order to explore the trends and identify promising paths for future research
Barriers and Drivers of Digital Transformation in Public Organizations: Results from a Survey in the Netherlands
Get PDFThe introduction of ICT is requiring public administrations to transform their organizations to take advantage of these technologies. Despite its significance, no studies so far collected quantitative evidence on (i) how and the extent to which this transformation is currently underway and (ii) which drivers and barriers are hindering and leading this transformation process. This article aims at filling this gap by surveying Dutch public administrations. In total, 46 responses from different organizations were collected that provide insight into their transformation efforts. Findings show that digital transformation efforts had only a partial impact at the organizational level: processes, employees’ duties and tasks and information systems are going through a deep transformation, whereas the social system seems to be less affected by the transformation process. Moreover, the analysis results suggest that external drivers are the main motivation for organizational transformation, and that expected internal barriers do not de facto result in digital transformation. These counterintuitive results suggest that in public administrations only exogenous input result in a sense of urgency and that the perceived barriers to transformation can be overcome if there is sufficient external pressure.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Information and Communication Technolog
Managing public sector innovation for a better society: the case of public procurement of innovation
No full textThis study examines the relationship between strategic management (SM) practices and performance in public sector innovation, focusing on Public Procurement of Innovation (PPI) as a policy mechanism to address societal challenges. Analyzing data from 185 PPI projects in Italy using Structural Equation Modelling, the findings show that strategic goal setting enhances performance outcomes, including local economic growth, community benefits, innovation promotion, and intellectual capital creation. Intra-agency collaboration facilitates the use of innovation policy instruments but does not directly improve performance. In contrast, instrument utilization positively affects strategic outcomes and mediates the link between goal setting and performance. This study contributes to procurement, innovation policy, and SM literature by demonstrating how procurement can drive innovation and societal impact. It provides actionable insights for managers and policymakers to strengthen PPI effectiveness through clear goal setting, internal collaboration, and targeted policy instruments
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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