Digital Infrastructure in Healthcare: A Business Model Taxonomy for Data Ecosystems
Konopik J (2025)
Publication Language: English
Publication Type: Conference contribution, Original article
Publication year: 2025
Pages Range: 1-17
Conference Proceedings Title: ICIS 2025 Proceedings
Event location: Nashville, Tennessee
URI: https://aisel.aisnet.org/icis2025/is_health/ishealthcare/10
Open Access Link: https://aisel.aisnet.org/icis2025/is_health/ishealthcare/10
Abstract
Data ecosystems are seen as a promising approach to the persistent challenges of interoperability and underutilization of health data. To leverage data ecosystems for inter-organizational data management in healthcare, a solid understanding of how these ecosystems can create, deliver, and capture value is necessary. As current academic literature has not been engaged in such holistic discussions from a business model perspective, a comprehensive study was performed to outline the solution space for data ecosystems in healthcare. A taxonomy development methodology was employed, synthesizing theoretical and empirical evidence from the analysis of existing taxonomies, a literature review, a workshop, and expert interviews. The results highlight the interplay between digital health offerings and the technical infrastructure of the sector. Presented as a morphological box, the taxonomy provides researchers with a tool to navigate this emerging field to effectively design data-driven solutions and practitioners with actionable guidance for implementing viable data ecosystems.
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How to cite
APA:
Konopik, J. (2025). Digital Infrastructure in Healthcare: A Business Model Taxonomy for Data Ecosystems. In ICIS 2025 Proceedings (pp. 1-17). Nashville, Tennessee, US.
MLA:
Konopik, Jens. "Digital Infrastructure in Healthcare: A Business Model Taxonomy for Data Ecosystems." Proceedings of the Forty-Sixth International Conference on Information Systems, Nashville, Tennessee 2025. 1-17.
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