Sustainable and Trustworthy Digital and Data Ecosystems for Societal Transformation

Permanent URI for this collectionhttps://hdl.handle.net/10125/112551

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    Navigating the Generative AI Adoption Dilemma: Pathways and Trade-offs through a Data Ecosystem Perspective
    (2026-01-06) Toorajipour, Reza; Perozzo, Haiat; Ravarini, Aurelio; Eaton, Ben; Ajami, Marwan
    The rapid rise of Generative AI (GenAI) chatbots such as ChatGPT and Claude presents organizations with a strategic dilemma: adopt powerful external solutions or invest in developing secure, internal alternatives. This study conceptualizes the "GenAI adoption dilemma" and examines it through the lens of internal data ecosystems. Based on qualitative case study research, including 46 interviews with senior professionals in a multinational consultancy firm, we identify three strategic pathways: internal, external, and hybrid chatbot adoption. We analyze them across five criteria: cost, risk, time to market, data ecosystem integration, and competitiveness. We develop a framework to guide decision-makers in navigating this emerging challenge. Our findings primarily contribute to GenAI chatbot adoption literature by framing it as a systemic organizational decision rather than a purely technological, they extend data ecosystem theory by empirically linking GenAI chatbots adoption to internal infrastructure, governance, stakeholders, and data practices, and provide insights for IT adoption and outsourcing literature.
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    What Does a Data Trustee Actually Do? Specifying Subfunctions of a Data Trustee in Data Ecosystems
    (2026-01-06) Kurrle, Sven; Hoffmann, Julian; Weber, Patrick
    Sharing data across company borders can unlock major potential for new value creation. But sharing data with another company has historically faced obstacles. The concept of a data trustee, which facilitates the exchange of data between two companies, has been put forward as a possible solution. Lindner and Straub identified three main functions of a data trustee, but specific subfunctions remain unclear. To address this gap, we conducted twelve semi-structured interviews with experts in data trusteeship. We identified 49 subfunctions across the three main functions. They facilitate a more comprehensive understanding of the responsibilities of a data trustee. These efforts will assist researchers in refining the definition of a data trustee and enable practitioners to design data trustees that effectively perform a set of subfunctions. The subfunctions support future development of the data trustee concept, such as creating legal structures.
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    Decision Criteria for Selecting Data Infrastructure Design Options in the Private Sector
    (2026-01-06) Jahnke, Nils; Mannsfeld, Maik
    Data infrastructures are foundational for creating economic and social value through data sharing. Yet, building sustainable and long-lasting data infrastructures for inter-organizational data sharing in the private sector remains a complex undertaking. A key challenge lies in designing data infrastructure services that reconcile the diverse requirements of the actors involved, including the choice of suitable architectural options (e.g., centralized versus decentralized). Drawing on a two-cycle Design Science Research approach with European practitioners, we propose a set of core decision criteria for data infrastructure design options in the private sector. Our study advances IS literature by enriching design knowledge on private data infrastructure services. Additionally, we improve the understanding of private data infrastructures by delimiting their core concerns from those of general software systems. Practitioners can apply our findings in the design and development of data infrastructures to make more informed decisions.
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