While most previous research on orchestration of digital innovation ecosystems has examined governance structures, our knowledge of relevant dynamic capabilities remains abstract and lacks conceptual integration. This imbalance limits current knowledge to the extent that digital innovation ecosystem orchestration is mainly considered a structural issue. Based on a synthesis of related literature, we present a novel dynamic capabilities framework that builds on sensing, seizing, and reconfiguring capabilities for digital innovation ecosystem orchestration. We differentiate two major challenges addressed in orchestrating such ecosystems: component challenges and complement challenges. We propose six concrete routines that collectively help address these challenges. These include co-creating architectural knowledge, cultivating boundary objects, renegotiating system integration, screening complementors, co-specializing interfaces, and restructuring complementarities. We illustrate each of these routines with examples from the automotive sector. In addition, we sketch trajectories for future research both at the level of the individual routines and at the level of the overall framework.

虽然之前大多数关于数字创新生态系统编排的研究都检查了治理结构，但我们对相关动态能力的了解仍然是抽象的，缺乏概念整合。这种不平衡限制了当前的知识，以至于数字创新生态系统编排主要被认为是一个结构性问题。在综合相关文献的基础上，我们提出了一个新的动态能力框架，该框架建立在数字创新生态系统编排的感知、获取和重新配置能力之上。我们区分了协调此类生态系统所面临的两个主要挑战：组件挑战和补充挑战。我们提出了六个具体的例程，共同帮助应对这些挑战。这些包括共同创造建筑知识，培养边界对象，重新协商系统集成、筛选互补者、共同专业化接口和重组互补性。我们用汽车行业的例子来说明这些例程中的每一个。此外，我们在单个例程的级别和整体框架的级别上为未来的研究绘制了轨迹。