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Please note that all times are shown in the time zone of the conference. The current conference time is: 14th Aug 2025, 08:41:50am BST
Session Chair: Prof. Albert Jacob MEIJER, Utrecht University
"Stakeholder collaboration"
Presentations
Artificial intelligence and public governance synergies for socioeconomic welfare: A data envelopment analysis of country-level efficiency
Eva Murko1,2, Aleksander Aristovnik1
1Faculty of Public Administration, University of Ljubljana, Slovenia; 2Faculty of Economics and Business, University of Rijeka, Croatia
There is a demonstrated positive relationship between the quality of public institutions and governance and socioeconomic development. Parallel to this, as a component of technological progress, information and communication technologies (ICT) have triggered changes across industries and contributed to socioeconomic development. Recent advancements in artificial intelligence (AI) add a new dimension to this relationship. The interplay between PG and AI in driving socioeconomic outcomes remains underexplored. To address this gap, we employ a two-stage network Data Envelopment Analysis (DEA), complemented by ordinary least squares (OLS) regression and multivariate analysis of variance (MANOVA), using data from 52 high- and middle-income countries. The first DEA stage evaluates the efficiency of countries in transforming AI inputs (AI funding and talent) into intermediate outputs (AI research papers and patents). The second stage assesses how effectively these intermediate outputs translate into economic outcomes (ICT-service exports, high-tech exports, GDP per person employed). The subsequent OLS and MANOVA analyses further investigate the influence of governance quality, measured via World Governance Indicators, on both AI efficiencies derived from DEA and raw AI capabilities. This study contributes to interdisciplinary discussions on how the public governance interacts with AI technologies to foster socioeconomic welfare.
Stakeholder Categorisations and Engagement Methods in e-Government
1University for Continuing Education Krems, Austria; 2Vienna University of Economics and Business, Austria
Successful e-government initiatives depend on the alignment of the objectives of public services with its stakeholders. While stakeholder engagement is widely acknowledged as essential, debates persist around the definition and categorisation of stakeholders within e-government contexts. This paper critically examines how stakeholder categorisations can support e-government public service design and delivery, and discusses engagement methods to align stakeholders with with e-government.
The study is grounded in stakeholder theory, particularly the foundational work of Freeman and Reed (1983) and its adaptation to e-government by Scholl (2001, 2004), who highlights the benefits and limitations of applying stakeholder theory in digital governance contexts. The latter work in particular underscores the importance of moving beyond technocratic views and advocates comprehensive inclusion of salient stakeholders to foster more effective and inclusive public services. Flak and Rose have also noted the benefits of using stakeholder theory in governance; in particular how e-government could provide a “sensitizing filter” (2005, S. 659) for understanding stakeholders as well as provide tools and techniques to support them. Therefore, in this study, we include both Flak and Rose’s (2005) as well as Rowley’s (2011) arguments regarding stakeholder alignment in e-government contexts, emphasizing the critical need to reconcile public service objectives with diverse stakeholders. Building on Bryson’s (2004) systematic stakeholder analysis methods, this paper applies structured approaches for identifying and prioritizing stakeholders in complex e-government scenarios and then combines the results with insights about engagement methods relevant in e-government services.
The empirical basis of this research includes a systematic review of 24 peer-reviewed academic articles, which were selected according to the PRISMA protocol (Page et al., 2021). The literature reviewed specifically addresses stakeholder categorisation and examines methods for stakeholder engagement tailored to e-government public services. The study addresses two primary research questions: (1) How do stakeholder categorisations support e-government public service design and delivery? And (2) Which engagement methods align stakeholders with e-government service provision?
The results show how different stakeholder categorisations and engagement methods can improve public service provision in e-government. By identifying and categorizing stakeholders involved in e-government, and critically evaluating engagement methods, the paper offers theoretical contributions and practical recommendations aimed at enhancing stakeholder interactions, communication, and participatory mechanisms in e-government. Effectively identifying and engaging stakeholders contributes to public services that are user-centered and draw on co-creation principles. The findings highlight that a nuanced and context-sensitive understanding of stakeholders significantly enhances engagement, contributes positively towards public service provision and the long-term sustainability of e-government.
