Abstract
Organizations are investing in data science capabilities to gain competitive
advantages. Yet not much is known about how organizational context shapes data
science capabilities to create value. This paper is based on a set of case studies.
By conducting semi-structured interviews, this study shows that cross-functional
collaboration, openness towards external data sources, coordination of data
curation tasks, innovation orientation, organizational mindset and agility
influence the development of data science capabilities. Our findings have
implications for the IS literature on data science by showing the importance of
organizational arrangements.
Recommended Citation
Kazemargi, Niloofar and Ceci, Federica, "Organizational context for shaping data science capabilities: an empirical study" (2023). ITAIS 2023 Proceedings. 12.
https://aisel.aisnet.org/itais2023/12