@inproceedings{936cdc4114e04baead6977a606418ec8,
title = "What makes and breaks Data Cooperatives? A multi-case study of barriers and enablers",
abstract = "Data cooperatives are member-owned enterprises where members collectively manage and benefit from their pooled data. While data cooperatives offer a promising alternative to power asymmetries and data practices in the dominant corporate platform paradigm, many data cooperatives encounter challenges and often struggle to sustain themselves. Existing research in this area remains conceptual and research investigating data cooperatives{\textquoteright} evolution and sustainability over time is needed. This paper presents a multi-case study of six data cooperatives, examining factors influencing their longevity or dissolution. The case study unveils four potential factors: (1) funding and financial constraints, (2) the wider environment and context where the DC is situated, (3) value proposition and incentives structure, and (4) autonomy/dependency on large corporate platforms and technology. By moving beyond conceptualization of the rapidly emerging phenomenon of data cooperatives, this study contributes to both interdisciplinary and IS research. The findings also offer practical insights into the development and sustainability of current and future data cooperatives.",
keywords = "data cooperatives, data governance, data ethics",
author = "Davor Petreski and Olivera Marjanovic and Marc Cheong",
year = "2025",
language = "English",
series = "PACIS proceedings",
publisher = "AIS Electronic Library (AISeL)",
pages = "1--17",
booktitle = "PACIS 2025 Proceedings",
note = "Pacific-Asia Conference on Information Systems (29th : 2025) ; Conference date: 05-07-2025 Through 09-07-2025",
}