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Paper Number
2717
Paper Type
LitReview
Abstract
Although data is acknowledged as a strategic asset, many companies still struggle to fully harness its potential. A reported explanation for this failure is poor data culture. Although IS research describes data culture as a key moderating factor for achieving value creation from data, its conceptualization remains inconsistent, scattered across various entities, and exhibits diverse properties. This paper aims to introduce a refined conceptualization of data culture that captures how data’s value is actualized in work practices through employees' contextual interpretation and utilization of data. Hence, we conducted a scoping review of data culture literature and analyzed it using Schein’s seminal theory on organizational culture. Our findings depict data culture as a subculture within the broader organizational culture, mutually shaped by data artifacts, espoused beliefs and values, and basic underlying assumptions about data. Our findings contribute to a rigorous foundation for a data culture construct and inform future scale development.
Recommended Citation
Schnieders, Fabienne; Lefebvre, Hippolyte; and Otto, Boris, "Look Beneath the Surface: Reconceptualizing Data Culture" (2024). ICIS 2024 Proceedings. 17.
https://aisel.aisnet.org/icis2024/lit_review/lit_review/17
Look Beneath the Surface: Reconceptualizing Data Culture
Although data is acknowledged as a strategic asset, many companies still struggle to fully harness its potential. A reported explanation for this failure is poor data culture. Although IS research describes data culture as a key moderating factor for achieving value creation from data, its conceptualization remains inconsistent, scattered across various entities, and exhibits diverse properties. This paper aims to introduce a refined conceptualization of data culture that captures how data’s value is actualized in work practices through employees' contextual interpretation and utilization of data. Hence, we conducted a scoping review of data culture literature and analyzed it using Schein’s seminal theory on organizational culture. Our findings depict data culture as a subculture within the broader organizational culture, mutually shaped by data artifacts, espoused beliefs and values, and basic underlying assumptions about data. Our findings contribute to a rigorous foundation for a data culture construct and inform future scale development.
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