Taking Digital Responsibility for Data: Toward a Governance Model for User-Generated Data

Andreas Christ et al.

Schmalenbach Journal of Business Research2025https://doi.org/10.1007/s41471-025-00225-6article
AJG 2
Weight
0.37

What the paper says

As firms increasingly rely on user-generated data (UGD) to drive decision-making, questions of digital responsibility have become central to contemporary data governance. This article develops a governance model for UGD that integrates the ecosystem view with three complementary dimensions—object, authority, and subject—to clarify what is governed, who holds governing power, and who is affected. This model captures the distributed and relational nature of governance across interconnected actors and infrastructures. While the model is designed to be broadly applicable, we illustrate how governance responsibilities shift between different phases in the lifecycle of UGD, such as its initial capture and subsequent use. By linking these lifecycle moments to the roles and relationships within the ecosystem, we highlight how technical, organizational, and stakeholder considerations converge in practice. The model emphasizes transparency, contextual integrity, and distributed accountability as guiding principles for responsible data management, offering actionable guidance for managers and policymakers navigating the tension between data-driven innovation and digital responsibility.

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https://doi.org/https://doi.org/10.1007/s41471-025-00225-6

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@article{andreas2025,
  title        = {{Taking Digital Responsibility for Data: Toward a Governance Model for User-Generated Data}},
  author       = {Andreas Christ et al.},
  journal      = {Schmalenbach Journal of Business Research},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1007/s41471-025-00225-6},
}

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.