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Beyond Digital Data and Information Technology: Conceptualizing Data-Driven Culture

Eduard Anton et al.

Pacific Asia Journal of the Association for Information Systems2023https://doi.org/10.17705/1pais.15301article
AJG 2
Weight
0.65

What the paper says

Background: The role of a data-driven culture in improving organizational performance is widely recognized, but its conceptual definition lacks uniformity, leading to the existence of various constructs. This paper proposes a guiding framework for a data-driven culture, aiming to foster a unified understanding that aids both researchers and practitioners in the information systems (IS) field. Method: Adopting a qualitative research approach, this study conducts a systematic literature review to discern the breadth and depth of data-driven culture as portrayed in previous works. Alongside this, ten interviews were carried out with professionals well-versed in the application of data-driven strategies. Results: The study uncovers the multifaceted nature of a data-driven culture, highlighting its influence on decision-making practices within organizations. It identifies a range of characteristics relevant to the construct and consolidates these into an integrative framework, thereby developing a conceptual definition for data-driven culture. Conclusion: The paper contributes to the IS field by providing a framework that illuminates the concept of data-driven culture. This new understanding aids researchers in consistently theorizing the same phenomenon, supports the development of refined metrics for assessing data-driven culture, and paves the way for future research in this area. For practitioners, this framework delineates the characteristics of a data-driven culture and their interplay, enabling a more informed approach to cultural change efforts. Moreover, it highlights the importance of acknowledging the wider cultural context, and provides mechanisms to balance the emphasis on tools and values.

16 citations

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https://doi.org/https://doi.org/10.17705/1pais.15301

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@article{eduard2023,
  title        = {{Beyond Digital Data and Information Technology: Conceptualizing Data-Driven Culture}},
  author       = {Eduard Anton et al.},
  journal      = {Pacific Asia Journal of the Association for Information Systems},
  year         = {2023},
  doi          = {https://doi.org/https://doi.org/10.17705/1pais.15301},
}

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Beyond Digital Data and Information Technology: Conceptualizing Data-Driven Culture

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Evidence weight

0.65

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

F · citation impact0.75 × 0.4 = 0.30
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.