A Systematic Review of Exploring the Multiple Dimensions of Data-Driven Culture
DOI:
https://doi.org/10.48112/tibss.v2i4.953Abstract
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Data-driven culture refers to the set of values, behaviours, and practices within the organization that prioritize the effective use of data. The role of data-driven culture in improving organizational outcomes is widely recognized. Despite its growing importance, a holistic view of data-driven culture, which could guide practitioners and researchers, is still lacking. In this review paper, we aim to develop an integrative framework for understanding the multiple dimensions of data-driven culture and its relationship. This study conducts a domain-based systematic literature review to discern the breadth and depth of data-driven culture as portrayed in prior studies published between 2000-2024. Using the Preferred Reporting System for Systematic Literature Review and Meta-Analyses (PRISMA-SLR) protocol, 32 primary studies in healthcare, business organizations, and educational institutions indexed in Web of Science and Scopus were identified, along with grey literature sourced via Google. This study uncovers the multiple dimensions of data-driven culture including data-driven mindset, data-driven leadership, data literacy, data accessibility, and data governance and its influence on decision-making practices within the organization. This review further highlights the interrelationships between multiple dimensions of data-driven culture and provides an integrative framework for leaders and managers to build data-driven organizations. Additionally, this review identifies actionable insights and research gaps for further exploration.
Keywords:
Data literacy, Data-driven culture, Data-driven decision-making, Meta-analyses , Systematic reviewReferences
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