From data jungle to data governance in digital ecosystems: Empirical evidence from a multiple holistic case study
研究通过五个数字生态系统的案例，发现数据治理原则是解决参与者间冲突的制度安排，并提出了一个由四个相互依赖的支柱组成的动态控制环框架，将治理从静态设计重新定义为持续适应过程。
• Study explores data governance in multi-actor digital ecosystems. • Governance principles emerge as the result of institutional complexity. • Four-pillar framework explains governance as interdependent and adaptive. • Pillars form a dynamic control-loop balancing tensions and pressures. • Reframes governance from static design to continuous adaptation processes. With increasing access to external data sources, firms are engaging in digital ecosystems to create data-driven products and services. However, governing data in these multi-actor environments is a critical challenge characterized by the need to reconcile conflicting institutional logics. Applying institutional complexity as theoretical lens, this study utilizes a multiple holistic case study of five digital ecosystems. Our findings reveal that data governance principles are not simply top-down mandates but are emergent institutional arrangements that resolve underlying tensions between actors. Based on this, we develop a framework for data governance comprised of four interdependent pillars. We theorize that these pillars operate as a dynamic control-loop, where continuous mutual adjustment enables ecosystems to adapt and maintain stability in response to internal and external pressures. This study contributes to governance theory by reframing data governance from a static design problem to a continuous process of adaptation.