This study operationalizes the knowledge-based dynamic capabilities (KBDC) that act as drivers of innovation performance in innovation ecosystems, across different market economies. Innovation ecosystems facilitate the flow of resources to transform ideas into reality. In turn, KBDC provide a means to create and share expertise, which contributes to the diversification of the economy, and allow businesses to reach beyond their own boundaries to create value for customers in new ways. Employing partial least squares path analysis, four constructs, namely knowledge creation, knowledge diffusion, knowledge absorption and knowledge impact, are comparatively analyzed. Across all four constructs, knowledge creation is the biggest driver of innovation performance, and the strongest predictor of innovation performance in developed and developing market economies. Knowledge absorption is the strongest predictor of innovation performance in transition economies. A KBDC-centered innovation ecosystem framework is proposed to highlight the innovation performance and competitive advantage inherent in each knowledge-related capability.

本研究实施了基于知识的动态能力 (KBDC)，这些能力在不同市场经济体的创新生态系统中充当创新绩效的驱动因素。创新生态系统促进资源流动，将想法变为现实。反过来，KBDC 提供了一种创造和分享专业知识的方法，这有助于经济的多元化，并允许企业超越自身界限，以新的方式为客户创造价值。运用偏最小二乘路径分析法，对知识创造、知识传播、知识吸收和知识影响四种结构进行了比较分析。在所有四个结构中，知识创造是创新绩效的最大驱动力，以及发达和发展中市场经济体创新绩效的最强预测指标。知识吸收是转型经济体创新绩效的最强预测指标。提出了以 KBDC 为中心的创新生态系统框架，以突出每个知识相关能力所固有的创新绩效和竞争优势。