企业创新生态系统数字化转型对创新绩效的影响OA

The deep integration of digital technologies and innovation is driving manufactur-ing enterprises to evolve from closed R&D to an open,collaborative digital innovation ecosystem.However,the frequent occurrence of the"high input—low output"digital paradox indicates that the conversion from digital transformation in the innovation ecosystem to improved innovation performance is not an automatic,linear process,and that the underlying transformation mecha-nism requires further theoretical exploration.Based on innovation ecosystem and dynamic capa-bilities theories,this study decomposes enterprises'innovation ecosystem digital transformation into two dimensions:innovation platform digitalization and innovation business digitalization.In-novation performance is further divided into innovation speed and innovation quality.An integrated analytical framework of"innovation platform/business digitalization—dynamic capabilities—innovation speed/quality"is constructed.Using data from 129 manufacturing enterprises occupy-ing central positions in innovation ecosystems in China,the study employs the PLS-SEM struc-tural equation model to empirically test the internal transmission mechanisms. The results show that digital transformation of enterprises'innovation ecosystem positively affects innovation performance through the multiple chain-mediating effects of dynamic capabili-ties,exhibiting significant characteristics of"functional differentiation"and"path differentia-tion".Specifically,innovation platform digitalization primarily enhances knowledge acquisition capability and indirectly promotes innovation speed and innovation quality through the chain-mediating path of"knowledge acquisition—knowledge reconfiguration".In contrast,innovation business digitalization mainly strengthens environmental sensing and knowledge reconfiguration capabilities,and comprehensively improves enterprises'innovation performance through the full-chain pathway of"sensing—acquisition—reconfiguration". The theoretical contributions of this study are mainly reflected in three aspects:①It ex-tends the analytical perspective of enterprise digital transformation from the"unit/process level"to the level of the innovation ecosystem,thereby filling the contextual gap in cross-organizational collaborative innovation theory in the digital era.②It opens the"black box"of the process through which innovation ecosystem digital transformation drives innovation,and empiri-cally tests the chain-mediating effects of dynamic capabilities,providing a new theoretical expla-nation for the"digital paradox".③By decomposing innovation performance into two dimensions—innovation speed and innovation quality—it clarifies the heterogeneous transmission paths of innovation platform digitalization and innovation business digitalization,offering micro-level mechanism evidence for manufacturing enterprises to achieve high-quality development through digital ecosystem collaboration. Based on these findings,three practical implications are proposed for focal enterprises in in-novation ecosystems.First,enterprises should implement a dual-driven strategy of"platform foundation building and business empowerment",avoiding the deviation from the path of"em-phasizing digital infrastructure while neglecting innovation-business integration".Second,enter-prises should recognize the"converter"role of dynamic capabilities in transforming digitaliza-tion into innovation performance and focus on connecting the capability transformation chain of"sensing—acquisition—reconfiguration".Third,enterprises should adopt differentiated innovation-ecosystem digital-transformation paths based on heterogeneous innovation-performance goals,ownership structures,and industry technology intensity.