Collective Data Analytics Capability Building Processes: a Governance Model
Boriana Rukanova (TU Delft - Information and Communication Technology)
A.M.G. Zuiderwijk-van Eijk (TU Delft - Information and Communication Technology)
Moorchana Das (Student TU Delft)
Y. Tan (TU Delft - Information and Communication Technology)
Toni Männistö (Cross-Border Research Association)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
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.
help_outline