Jussen, IlkaIlkaJussenMöller, FrederikFrederikMöllerSchweihoff, Julia ChristinaJulia ChristinaSchweihoffGieß, AnnaAnnaGießGiussani, GiuliaGiuliaGiussaniOtto, BorisBorisOtto2024-09-192024-09-192024https://publica.fraunhofer.de/handle/publica/47533610.1016/j.datak.2024.1022802-s2.0-85183455014Sharing data is highly potent in assisting companies in internal optimization and designing new products and services. While the benefits seem obvious, sharing data is accompanied by a spectrum of concerns ranging from fears of sharing something of value, unawareness of what will happen to the data, or simply a lack of understanding of the short- and mid-term benefits. The article analyzes data sharing in inter-organizational relationships by examining 13 cases in a qualitative interview study and through public data analysis. Given the importance of inter-organizational data sharing as indicated by large research initiatives such as Gaia-X and Catena-X, we explore issues arising in this process and formulate research challenges. We use the theoretical lens of Actor-Network Theory to analyze our data and entangle its constructs with concepts in data sharing.enopen accessActor-network theoryData ecosystemsData sharingQualitative Interview studyjournal article