A Data Governance Framework for Platform Ecosystem Process Management

  • Sung Une LeeEmail author
  • Liming Zhu
  • Ross Jeffery
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 329)


Platform ecosystem today is regarded as the key business concept of organizations to win market. Platform companies can grow fast through the data contribution of multi-sided networks. Yet, they face difficulties in managing the data resulted from complicated contribution, use and interactions between the multiple parties. The circumstance causes serious concerns about unclear data ownership and invisible use of data, and ultimately leads to data abuse/misuse or privacy violation. To alleviate to this, a particular type of data governance is required. However, there is limited research on data and data governance for platform ecosystems. We introduce a new data governance framework for platform ecosystems which consists of data, role, decisions and due processes. The framework supports organizations in understanding to show how the risks should be dealt in the processes for business success. We compare 19 existing industry governance frameworks and academic work with our framework to show current gaps and limitations.


Data governance Platform ecosystem Business process 


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Architecture and Analytics Platforms Group, Data61, CSIROSydneyAustralia
  2. 2.School of Computer Science and EngineeringUNSWSydneyAustralia

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