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Assessing Maturity in Data-Driven Culture

Mikael Berndtsson & Stefan Ekman

International Journal of Business Intelligence Research (IJBIR)2023https://doi.org/10.4018/ijbir.332813article
ABDC C
Weight
0.39

What the paper says

Research on assessing a group's maturity in data-driven culture is rare and fragmented. This article investigates how maturity in data-driven culture can be assessed from a historical perspective. A case study was done on how the Education Council evolved in analytics maturity and as a group during 2014-2023. The assessment showed that the Education Council experienced both successful progression of group development and usage of analytics, as well as regression in group development and analytics usage. The practical implications of the findings are that group leaders need to be aware of the interplay between analytics usage and group development when planning to improve their group's maturity in data-driven culture.

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https://doi.org/https://doi.org/10.4018/ijbir.332813

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@article{mikael2023,
  title        = {{Assessing Maturity in Data-Driven Culture}},
  author       = {Mikael Berndtsson & Stefan Ekman},
  journal      = {International Journal of Business Intelligence Research (IJBIR)},
  year         = {2023},
  doi          = {https://doi.org/https://doi.org/10.4018/ijbir.332813},
}

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Evidence weight

0.39

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.12 × 0.4 = 0.05
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.