Unpacking data democratization - how communities of practice help organizations develop and scale their data practices
研究了实践社区如何帮助组织发展和扩展数据实践，通过分析21家公司的45个社区，识别出三种促进数据民主化的社区类型及其互动机制，为管理者提供培育数据驱动价值创造的指导。
Data democratization, the empowerment of a wide range of employees to engage with data, has become a strategic priority for organizations aiming to create value from data. Existing studies focus on removing organizational or technical barriers to accessing and using data, but offer limited insight into how data democratization materializes in practice. We draw on the concept of communities of practice (CoPs) to examine how data practices are developed and scaled within organizations to meaningfully integrate data and domain knowledge. From an analysis of 45 communities at 21 companies, we identify three types of CoPs that foster data democratization: (1) CoPs that embed data into work practices, (2) CoPs that develop data practices around tools and methods, and (3) CoPs that foster collective data awareness. These CoPs interact through distinct boundary interactions that stimulate practice exchange across the organization. We theorize three enablers that facilitate their interactions: the embeddedness of spanners-in-practice, the malleability of boundary objects, and the supportive governance structures. This study advances information systems research and the emerging field of data studies by unpacking how cross-functional learning and collaboration enable data democratization. For practitioners, we offer guidance for orchestrating and nurturing CoPs to foster data-driven value creation.