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Designing Data Governance in Platform Ecosystems

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Title:Designing Data Governance in Platform Ecosystems
Authors:Lee, Sung Une
Zhu, Liming
Jeffery, Ross
Keywords:Managing Platforms and Ecosystems
Contingency Factor, Data Governance, Decentralized Architecture, Design Choice, Platform Ecosystem
Date Issued:03 Jan 2018
Abstract:As platform ecosystems such as Facebook or Twitter are rapidly growing through platform users’ data contribution, the importance of data governance has been highlighted. Platform ecosystems, however, face increasing complexity derived from the business context such as multiple parties’ participation. How to share control and decision rights about data assets with platform users is regarded as a significant governance design issue. However, there is a lack of studies on this issue. Existing design models focus on the characteristics of enterprises. Therefore, there is limited support for platform ecosystems where there are different types of context and complicated relationships. To deal with the issue, this paper proposes a novel design approach for data governance in platform ecosystems including design principles, contingency factors and an architecture model. Case studies are performed to illustrate the practical implications of our suggestion.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/50515
ISBN:978-0-9981331-1-9
DOI:10.24251/HICSS.2018.626
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Managing Platforms and Ecosystems


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