Paper Type
Complete
Abstract
The emergence of data ecosystems with platform-based infrastructures continuously demonstrate the potential of value creation based on data. In this context, data governance has become an emerging topic in recent IS literature as organizations require a more sophisticated approach over the management of their data assets. However, the implications of organizations interacting within new forms of inter-organizational collaborations have not been sufficiently explored. We first elaborate on the topic of data governance to derive intra- and inter-organizational characteristics of data governance. Using a case study approach, we examine three firms developing data-driven business models that rely on ecosystems in their business-to-business (B2B) operations. We analyze new implications arising to each individual with regard to data governance and indicate that data governance requires a broader research perspective, one that takes the dynamics outside a single organization in ecosystems into consideration.
Recommended Citation
Lis, Dominik and Otto, Boris, "Data Governance in Data Ecosystems – Insights from Organizations" (2020). AMCIS 2020 Proceedings. 12.
https://aisel.aisnet.org/amcis2020/strategic_uses_it/strategic_uses_it/12
Data Governance in Data Ecosystems – Insights from Organizations
The emergence of data ecosystems with platform-based infrastructures continuously demonstrate the potential of value creation based on data. In this context, data governance has become an emerging topic in recent IS literature as organizations require a more sophisticated approach over the management of their data assets. However, the implications of organizations interacting within new forms of inter-organizational collaborations have not been sufficiently explored. We first elaborate on the topic of data governance to derive intra- and inter-organizational characteristics of data governance. Using a case study approach, we examine three firms developing data-driven business models that rely on ecosystems in their business-to-business (B2B) operations. We analyze new implications arising to each individual with regard to data governance and indicate that data governance requires a broader research perspective, one that takes the dynamics outside a single organization in ecosystems into consideration.
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