Designing data governance in platform ecosystems

16Citations
Citations of this article
76Readers
Mendeley users who have this article in their library.

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.

Cite

CITATION STYLE

APA

Lee, S. U., Zhu, L., & Jeffery, R. (2018). Designing data governance in platform ecosystems. In Proceedings of the Annual Hawaii International Conference on System Sciences (Vol. 2018-January, pp. 5014–5023). IEEE Computer Society. https://doi.org/10.24251/hicss.2018.626

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free