Collaborative Innovation Performance Within Platform-Based Innovation Ecosystems: Identifying Relational Strategies With fsQCA
对203家中国科技企业进行模糊集定性比较分析，揭示了平台所有者与互补者之间驱动协作创新的三种关系策略，为提升平台生态系统中的协作绩效提供指导。
Collaborative innovation within platform-based innovation ecosystems (PIEs) relies upon the creation of effective partnerships between platform owners and complementors. Despite this, limited research examines the mechanisms that drive collaborative innovation performance within them. To address this important gap, this study performs a fuzzy set qualitative comparative analysis (fsQCA) on 203 Chinese technological firms with the aim of uncovering the distinct configurations of relational elements that drive collaborative innovation within PIEs. The findings reveal three strategies that are equally effective at delivering collaborative innovation: super-modular complementarity in relational operation dependence, unique complementarity in relational operation dependence, and coherence in relational norms dependence. Theoretically, the study contributes to the literature on interorganizational relationships in PIEs and collaborative innovation, by delineating essential relational structures and linking these relational elements to collaborative innovation performance. From a practical standpoint, both platform owners and complementors can use these findings to strengthen their collaborative innovation performance within PIEs.