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Innovation Ecosystems: A Cross-Industry Examination of Knowledge Flows and Collaboration Dynamics
Journal of the Knowledge Economy ( IF 1.815 ) Pub Date : 2024-04-23 , DOI: 10.1007/s13132-024-01986-x
Mingyang Nan , Longyang Huang

This comprehensive study investigates the intricate dynamics of knowledge flows and collaboration within the innovation ecosystem of the United Kingdom, employing a concurrent embedded design that integrates qualitative and quantitative methods. By examining facilitators, impediments, and industry-specific influences, the research provides nuanced insights into the multifaceted nature of innovation ecosystems. Triangulating qualitative and quantitative findings, the study reveals the critical roles of trust, effective communication, and network density in fostering knowledge exchange. Exploration of diverse collaboration forms, from formal partnerships to mentorship programs, underscores their prevalence and impact on innovation outcomes. The study advances existing literature by offering a cross-industry perspective, introducing a novel theoretical framework, and providing empirically grounded recommendations for cultivating more effective and impactful innovation ecosystems. While acknowledging certain limitations, such as the focus on a specific geographical context, the study significantly contributes to our understanding of these dynamic environments, offering a foundation for future research and practical guidance for stakeholders involved in fostering innovation.



中文翻译:

创新生态系统:知识流和协作动态的跨行业检验

这项综合研究采用集成定性和定量方法的并发嵌入式设计,调查了英国创新生态系统内知识流动和协作的复杂动态。通过研究促进因素、障碍和特定行业的影响,该研究为创新生态系统的多方面性质提供了细致入微的见解。通过对定性和定量研究结果进行三角测量,该研究揭示了信任、有效沟通和网络密度在促进知识交流中的关键作用。从正式合作伙伴关系到导师计划等多种合作形式的探索强调了它们的普遍性及其对创新成果的影响。该研究通过提供跨行业视角、引入新颖的理论框架以及为培育更有效和有影响力的创新生态系统提供基于经验的建议来推进现有文献。尽管承认某些局限性,例如关注特定的地理环境,但该研究极大地促进了我们对这些动态环境的理解,为未来的研究奠定了基础,并为参与促进创新的利益相关者提供了实践指导。

更新日期:2024-04-23
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