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The EU Digital Service Acts signals a move away from self-regulation towards co-regulation of social media platforms within the European Union. To address online harms and rising platform power the DSA clarifies responsibilities of platforms and outlines a new technology regulatory framework to increase oversight. One key oversight instrument constitutes Article 40 of the DSA, which lays out data access for vetted researchers, who add value to regulators and the broader public as creators of knowledge, educators, advisors, innovators, and watchdogs. Currently, the EU Commission and national governments make important decisions regarding Digital Service Coordinators (DSCs) that play a key role in implementation. Based on expertise on European public administration and political science we lay out key challenges and success factors of DSCs that will play a role in promoting successful cooperation between DSCs and researchers. We provide three recommendations: First, we recommend to strengthen transfer of scientific knowledge into policy-making by processing publicly accessible publications within public administrative bodies. To this end, capacities of DSCs need to be increased. In addition, we also point towards the database of vetted researchers collected by the Board of DSCs as important resource in order to strengthen knowledge transfer. Second, the DSC network requires agile institutions with fast response time in order to enable researchers to play a constructive role in implementation. This also includes institutional procedures between DSCs and the Intermediary Body and Data Protection Agencies. To avoid delay in implementation agile institution-building needs to start now. Finally, institutional safeguards will help to avoid strategic choice of companies of the DSC of establishment. At the same time, the Irish DSC's capacity should be strengthened compared to other national DSCs since most large intermediary services providers have their European headquarters in Ireland.
This research deconstructs complexity as a key challenge of intergovernmental digitalisation projects. While much of the literature acknowledges that the fundamental restructuring coupled with technical capacity that these joint projects require leads to increased complexity, little is known about how different types of complexity interact within the collaborative process. Using established concepts of substantive, strategic, and institutional complexity, we apply complexity theory in collaborative digital environments. To do so, eight digital projects are analysed that differ by state structure and government level. Using a cross-case design with 50 semi-structured expert interviews, we find that each digitalisation project exhibits all types of complexity and that these complexities overlap. However, clear differences emerge between national and local level projects, suggesting that complexity in digitalisation processes presents different challenges for collaborative digitalisation projects across contexts.
Despite claims of a paradigmatic shift toward the increased role of networks and partnerships as a form of governance—driven and enabled by digital technologies—the relation of “Networked Governance” with the pre-existing paradigms of “Traditional Weberian Public Administration” and “New Public Management” remains relatively unexplored. This research aims at collecting systematic evidence on the dominant paradigms in digitalization reforms in Europe by comparing the doctrines employed in the initial and most recent digitalization strategies across eight European countries: Estonia, France, Germany, Italy, The Netherlands, Norway, Spain, and the United Kingdom. We challenge the claim that Networked Governance is emerging as the dominant paradigm in the context of the digitalization of the public sector. The findings confirm earlier studies indicating that information and communication technologies tend to reinforce some traditional features of administration and the recentralization of power. Furthermore, we find evidence of the continued importance of key features of “New Public Management” in the digital era.
Large-scale government digitalisation projects require collaborative approaches for their successful development and implementation. To shed light on these collaboration dynamics, the interplay between two integral parts of collaborative projects: the project rules, procedures, and structures (collectively known as institutional design) and the leaders managing these projects is studied. In doing so, the paper provides empirically grounded insights into the management of collaborative government digitalisation projects. Taking an institutional perspective, and the strategic-relational approach (SRA), we examine the extent to which institutional design constraints leadership behaviours, and under what conditions leaders begin to adjust and/or challenge these design features adding to the knowledge of managing digitalisation of government. To this end, we present a five-country case study of national digitalisation projects across Europe. Our results show that while clear institutional design features such as established rules, project structures, and standard operating procedures are essential at the initial stages of the projects, leaders' skills in understanding and tailoring these features are critical to handle project-related problems and moving forwards towards implementation. This underscores the importance of examining projects taking an SRA approach and the need to understand leadership behaviour in the context of the structures in which it is embedded.
There is an increased interest amongst governments and public sector organisations about how to best integrate artificial intelligence into their day-to-day business processes. Yet, a large majority of technical know how is concentrated within the private sector, requiring most public sector organisations to rely on public procurement for AI systems. While many governments may have experience with traditional forms of public technological procurement, this paper argues that the public procurement of AI is different and new insight is needed to understand this differentiation and procure AI better. This paper offers an initial contribution to the public administration and management literature by describing this difference, and identifying the challenges associated with the public procurement of AI. In order to achieve this contribution, the research studied guidelines in four European countries (Estonia, Netherlands, Serbia, and the United Kingdom) to generate insight into the challenges faced, and potential solutions to these challenges, during the public procurement of AI process.