网络嵌入与失败学习对创新生态系统价值共创的影响研究OA

Value co-creation within innovation ecosystems has become a crucial pathway for enterprises to achieve collaborative innovation and value enhancement.However,the knowledge resources acquired by enterprises vary across different network embeddedness contexts,and the choice of failure learning approaches may also impact the efficiency of knowledge resource utili-zation and co-creation outcomes.Therefore,based on knowledge base theory,this paper con-structs a collaborative framework integrating"network embeddedness-failure learning".It com-bines five conditional variables under the network embeddedness dimension—centrality,struc-tural holes,embeddedness scale,relationship breadth,and relationship strength under the net-work embeddedness dimension,with exploratory failure learning and exploitative failure learning under the failure learning dimension.Taking provinces and cities along the Yangtze River Eco-nomic Belt as the research area,this study employs Necessity-Condition Analysis(NCA)com-bined with Fuzzy Set Qualitative Comparative Analysis(fsQCA)to analyze the influence mecha-nisms of network embeddedness and failure learning on value co-creation within innovation eco-systems. The findings reveal that:①High-level value co-creation within innovation ecosystems re-sults from the combined effects of network embeddedness and failure learning;no single factor alone constitutes a necessary condition for the outcome variable.②Five configuration patterns emerge for achieving high-level value co-creation in innovation ecosystems:Structural-Relational Synergy—Exploration of Failure Learning Configuration;Structure Dominant—Dual Failure Learning Configuration;Relational Dominant—Dual Failure Learning Configuration;Structural Holism*Relational Intensity Synergy—Exploration of Failure Learning Configuration;Centrality*Embeddedness Scale*Relational Breadth Synergy—Exploitation of Failure Learning Configuration.③Four configuration types lead to low-level innovation ecosystem value co-creation,exhibiting an asymmetric relationship with the driving pathways of high-level innova-tion ecosystem value co-creation. The theoretical contributions of this paper mainly include three aspects.First,this study en-riches research on antecedent factors influencing value co-creation within innovation ecosys-tems.By categorizing network embeddedness into structural embeddedness and relational em-beddedness,it identifies five variables:centrality,structural holes,embeddedness scale,rela-tional breadth,and relational strength.Furthermore,it classifies failure learning into exploratory failure learning and exploitative failure learning,thereby expanding research on the combined ef-fects of multiple antecedent conditions for value co-creation in innovation ecosystems.Second,this study reveals distinct driving pathways for value co-creation within innovation ecosystems,elucidating the complex interplay of multiple conditions underlying this process and offering new insights for achieving higher levels of value co-creation.Finally,it broadens the application scope of combined NCA and fsQCA methodologies,providing crucial methodological guidance for understanding the necessary and sufficient relationships among network embeddedness,fail-ure learning,and value co-creation in innovation ecosystems.