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.
Organizational context for shaping data science capabilities: an empirical study
Kazemargi. Niloofar
Primo
;Ceci. FedericaSecondo
2023-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
