Navigating publicness in digital innovation: big data and AI adoption in European public sector organisations

Niklas Tilly, Aline P. Seepma, Sajani Senadheera and Tan Yigitcanlar

European Journal of Innovation Management, 2025, vol. 29, issue 5, 1646-1679

Abstract: PurposeThis study investigates how publicness, defined through dimensions of ownership, funding, goal setting and control structure, shapes the collection and use of big data (BD) as well as the development and application of artificial intelligence (AI) in public service delivery across Europe.Design/methodology/approachDrawing on publicness theory, the study employs a multiple case study design, using 17 expert interviews from diverse public organisations across the Netherlands, Germany, Belgium and the UK. Data were analysed through thematic coding and cross-case comparison to explore sectoral differences and integration levels.FindingsBD is widely used in statistical, law enforcement and infrastructure sectors, supported by established legal frameworks and inter-organisational sharing. In contrast, AI remains in early development stages due to demands for transparency, ethical concerns and risk aversion. The level of publicness significantly influences data collection, management, sharing and AI application. High control structures foster explainable, human-centric AI, while fragmented infrastructure and limited funding remain barriers.Research limitations/implicationsThe findings are context-specific and not statistically generalisable. However, they provide conceptual and empirical insights for theory-building and future comparative or longitudinal studies.Practical implicationsRecommendations include investing in data governance, fostering responsible AI culture and strengthening cross-agency coordination and standardisation.Social implicationsBy aligning digital innovation with democratic values, the study promotes citizen trust and equitable service delivery in public AI and BD applications.Originality/valueThis study offers a novel application of publicness theory to examine technological innovation in the public sector, highlighting how institutional characteristics constrain or enable digital transformation.

Keywords: Big data; Artificial intelligence; Public sector innovation; Government technology adoption; Digital transformation; Publicness theory (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eme:ejimpp:ejim-07-2025-0964

DOI: 10.1108/EJIM-07-2025-0964

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