摘要
基于知识基础理论,构建“网络嵌入—失败学习”协同框架,揭示二者不同组合影响创新生态系统价值共创的复杂因果机制。研究整合结构嵌入(中心性、结构洞、嵌入规模)与关系嵌入(关系广度、关系强度)以及失败学习(探索式失败学习、利用式失败学习)等3个层面共7个前因条件,以长江经济带高新技术企业为调研对象,运用必要条件分析(NCA)与模糊集定性比较分析(fsQCA)相结合的方法,探究创新生态系统价值共创的驱动路径。研究发现:首先,高水平创新生态系统价值共创是网络嵌入与失败学习共同作用的结果,任何单一因素都无法构成其必要条件。其次,存在5类实现高水平创新生态系统价值共创的组态构型,具体包括:①“结构关系”协同—探索式失败学习构型;②结构主导—双元失败学习构型;③关系主导—双元失败学习构型;④结构洞—关系强度协同下探索式失败学习构型;⑤中心性—嵌入规模—关系广度协同下利用式失败学习构型。最后,存在4类导致低水平创新生态系统价值共创的组态构型,其与高水平组态之间呈现明显的因果非对称性。
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 utilization and co-creation outcomes.Therefore,based on knowledge base theory,this paper constructs a collaborative framework integrating"network embeddedness-failure learning".It combines five conditional variables under the network embeddedness dimension—centrality,structural holes,embeddedness scale,relationship breadth,and relationship strength under the network embeddedness dimension,with exploratory failure learning and exploitative failure learning under the failure learning dimension.Taking provinces and cities along the Yangtze River Economic Belt as the research area,this study employs Necessity-Condition Analysis(NCA)combined with Fuzzy Set Qualitative Comparative Analysis(fsQCA)to analyze the influence mechanisms of network embeddedness and failure learning on value co-creation within innovation ecosystems.The findings reveal that:①High-level value co-creation within innovation ecosystems results 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 cocreation,exhibiting an asymmetric relationship with the driving pathways of high-level innovation ecosystem value co-creation.The theoretical contributions of this paper mainly include three aspects.First,this study enriches research on antecedent factors influencing value co-creation within innovation ecosystems.By categorizing network embeddedness into structural embeddedness and relational embeddedness,it identifies five variables:centrality,structural holes,embeddedness scale,relational breadth,and relational strength.Furthermore,it classifies failure learning into exploratory failure learning and exploitative failure learning,thereby expanding research on the combined effects 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,failure learning,and value co-creation in innovation ecosystems.
作者
王展昭
马晴
关玉洁
武艳娟
Wang Zhanzhao;Ma Qing;Guan Yujie;Wu Yanjuan(School of Business Administration Research Center for Energy Economics,Henan Polytechnic University,Jiaozuo 454000,China;School of Business Administration,Henan Polytechnic University,Jiaozuo 454000,China;School of Economics and Business,Jeonju University,Jeonju 55069,South Korea)
出处
《创新科技》
2026年第3期63-78,共16页
Innovation science and technology
基金
国家社会科学基金一般项目“数智创新生态系统价值共创的张力机制及治理体系研究”(23BGL058)。
