Collective data analytics capability building offers opportunities for government organizations to develop capabilities that would be difficult to develop on their own. However, research on that topic is scarce and there is still a limited understanding of how collective data analytics capability building processes contribute to the value realization of the individual participating organizations. In this paper, drawing from the governance literature and by analyzing a case study from the customs domain we develop a governance model that allows to analyze collective data analytics capability building processes. Our governance model is a contribution to the literature on the use of data analytics in government, with the specific focus on understanding the collective data analytics capability building processes. For practitioners, the model can be used for identifying scenarios for engaging in collective data analytics initiatives in a multi-level context.
|Title of host publication||Proceedings of Ongoing Research, Practitioners, Workshops, Posters, and Projects of the International Conference EGOV-CeDEM-ePart 2020|
|Editors||Shefali Virkar, Marijn Janssen, Ida Lindgren, Ulf Melin, Francesco Mureddu, Peter Parycek, Efthimios Tambouris, Gerhard Schwabe, Hans Jochen Scholl|
|Publisher||Digital Government Society|
|Publication status||Published - 2020|
|Event||EGOV-CeDEM-ePart 2020 - Linkoping, Sweden|
Duration: 31 Aug 2020 → 2 Sep 2020
|Period||31/08/20 → 2/09/20|
- data analytics
Rukanova, B. D., Zuiderwijk-van Eijk, A. M. G., Das, M., Tan, Y., & Männistö, T. (2020). Collective Data Analytics Capability Building Processes: a Governance Model. In S. Virkar, M. Janssen, I. Lindgren, U. Melin, F. Mureddu, P. Parycek, E. Tambouris, G. Schwabe, & H. J. Scholl (Eds.), Proceedings of Ongoing Research, Practitioners, Workshops, Posters, and Projects of the International Conference EGOV-CeDEM-ePart 2020 Digital Government Society.