Organisations are increasingly creating inter-organisational ecosystem partnerships to innovate openly. Despite effective knowledge management significantly supporting ecosystem infrastructures, empirical insights into the importance of and interdependencies between conditions for successful knowledge exchange across ecosystem contexts remain unexplored within existing literature. This study implements a mixed-method approach to ascertain which conditions are responsible for knowledge transfer success across innovation ecosystems. Interpretive Structural Modelling was employed to analyse questionnaires with key ecosystem stakeholders, in order to impose a hierarchical structure upon the conditions. The configurational nature of these conditions, and their combinations into solutions for success was ascertained through analysing semi-structured interviews using fuzzy-set Qualitative Comparative Analysis. Results reveal multiple, mutually exclusive pathways to knowledge transfer success, grouped into three solution types, increasing understanding of the interrelated nature of the knowledge transfer conditions. Limitations and implications for future research are provided.

组织越来越多地建立组织间的生态系统合作伙伴关系，以进行开放式创新。尽管有效的知识管理极大地支持了生态系统的基础设施，但是在现有文献中还没有对成功跨生态系统环境进行知识交换的条件的重要性和相互依存关系进行实证研究。这项研究采用混合方法来确定哪些条件是跨创新生态系统成功进行知识转移的原因。解释性结构模型被用来分析与关键生态系统利益相关者的问卷，以在条件上强加等级结构。这些条件的配置性质，通过使用模糊集定性比较分析法对半结构化访谈进行分析，确定了将其组合成成功解决方案的方法。结果揭示了知识转移成功的多种相互排斥的途径，分为三种解决方案类型，从而增加了对知识转移条件相互关联性质的理解。提供了局限性和对未来研究的启示。