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

IF 2.4 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE
Eduard Anton, Thuy Duong, Markus Aptyka, Frank Teuteberg
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引用次数: 0

Abstract

Abstract 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.
超越数字数据和信息技术:概念化数据驱动的文化
背景:数据驱动型文化在提高组织绩效方面的作用已得到广泛认可,但其概念定义缺乏一致性,导致存在各种构式。本文提出了一个数据驱动文化的指导框架,旨在促进对信息系统(IS)领域的研究人员和实践者的统一理解。方法:采用定性研究的方法,本研究进行了系统的文献综述,以识别数据驱动文化在以往作品中所描绘的广度和深度。除此之外,我们还与精通数据驱动策略应用的专业人士进行了10次访谈。结果:该研究揭示了数据驱动文化的多面性,突出了其对组织内决策实践的影响。它确定了与构造相关的一系列特征,并将这些特征合并到一个集成框架中,从而为数据驱动的文化开发了一个概念性定义。结论:本文通过提供一个阐明数据驱动文化概念的框架,对信息系统领域做出了贡献。这种新的理解有助于研究人员始终如一地将同一现象理论化,支持开发用于评估数据驱动型文化的精细指标,并为该领域的未来研究铺平道路。对于实践者来说,这个框架描述了数据驱动文化的特征以及它们之间的相互作用,从而为文化变革工作提供了更明智的方法。此外,它强调了承认更广泛的文化背景的重要性,并提供了平衡工具和价值观的机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.10
自引率
33.30%
发文量
0
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