Towards a common data-driven culture: A longitudinal study of the tensions and emerging solutions involved in becoming data-driven in a large public sector organization

Author:

Barbala Astri MoksnesORCID,Hanssen Geir KjetilORCID,Sporsem Tor

Funder

Norges Forskningsråd

Publisher

Elsevier BV

Reference39 articles.

1. Anderson, C. (2015). Creating a Data-Driven Organization: Practical Advice from the Trenches (1st edition). O'Reilly Media.

2. Awasthi, P., & George, J. (2020). A case for Data Democratization. AMCIS 2020 Proceedings. https://aisel.aisnet.org/amcis2020/data_science_analytics_for_decision_support/data_science_analytics_for_decision_support/23.

3. Barbala, A., Sporsem, T., & Stray, V. (2023). Data-Driven development in public sector: how agile product teams maneuver data privacy regulations. In C. J. Stettina, J. Garbajosa, & P. Kruchten (Eds.), Agile Processes in Software Engineering and Extreme Programming (pp. 165–180). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-33976-9_11.

4. Bates, J. (2017). Data cultures, power and the city. In R. Kitchin, T. P. Lauriault, & G. McArdle (Eds.), Data and the City (1st ed., pp. 189–200). Routledge. https://doi.org/10.4324/9781315407388-14.

5. Berndtsson, M., Forsberg, D., Stein, D., & Svahn, T. (2018). BECOMING A DATA-DRIVEN ORGANISATION. Research-in-Progress Papers. https://aisel.aisnet.org/ecis2018_rip/43.

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