From data jungle to data governance in digital ecosystems: Empirical evidence from a multiple holistic case study

Volz F, Münch C, Lohmüller M, Küffner C (2025)

Publication Type: Journal article

Publication year: 2025

Journal

Book Volume: 201

Article Number: 115747

DOI: 10.1016/j.jbusres.2025.115747

Abstract

With increasing access to external data sources, firms are engaging in digital ecosystems to create data-driven products and services. However, governing data in these multi-actor environments is a critical challenge characterized by the need to reconcile conflicting institutional logics. Applying institutional complexity as theoretical lens, this study utilizes a multiple holistic case study of five digital ecosystems. Our findings reveal that data governance principles are not simply top-down mandates but are emergent institutional arrangements that resolve underlying tensions between actors. Based on this, we develop a framework for data governance comprised of four interdependent pillars. We theorize that these pillars operate as a dynamic control-loop, where continuous mutual adjustment enables ecosystems to adapt and maintain stability in response to internal and external pressures. This study contributes to governance theory by reframing data governance from a static design problem to a continuous process of adaptation.

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How to cite

APA:

Volz, F., Münch, C., Lohmüller, M., & Küffner, C. (2025). From data jungle to data governance in digital ecosystems: Empirical evidence from a multiple holistic case study. Journal of Business Research, 201. https://doi.org/10.1016/j.jbusres.2025.115747

MLA:

Volz, Felix, et al. "From data jungle to data governance in digital ecosystems: Empirical evidence from a multiple holistic case study." Journal of Business Research 201 (2025).

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