更好地理解合作研发与创新(R&D&I)--探索虚拟、物理和认知结构

IF 0.5 Q4 BUSINESS
Jukka Kääriäinen, Katri Valkokari, E. Siira, Jukka Hemilä, Marko Jurvansuu
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引用次数: 0

摘要

研究目的:本文的研究有助于理解物理、虚拟和认知结构如何在不同阶段支持创新生态系统的多行为体研究、开发和创新(R&D&I)合作:本研究的方法论基于定性案例研究策略。研究通过探索三个创新生态系统案例来完成。案例数据包括案例生态系统的现有文献,并辅以五次半结构化访谈:基于本研究的结果,我们有可能探索行业和学术界合作伙伴如何通过虚拟、物理和认知结构开展合作。我们的案例还提供了经验证据,说明如何将实体工业场所用作产学研合作的环境:因此,本文介绍了从三个不同的创新生态系统案例中汲取的经验教训,这些案例涉及工业、技术和学院合作伙伴,通过虚拟、物理和认知结构解决工业用例问题。理论/方法论贡献:本文有助于理解虚拟、物理和认知结构如何支持不同参与者在共同研发和创新工作中的协作,包括产学合作。文章还利用创新生态系统案例解释了这方面的实际例子:本研究的结果可能会使有兴趣了解合作研发与创新以及物理、虚拟和认知结构如何支持合作研发与创新的专业人士和管理人员受益。此外,研究结果还为创新生态系统管理者提供了方法和经验,有助于他们确定适合其创新生态系统环境的运作模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Toward a better understanding of collaborative research, development, and innovation (R&D&I) - exploring virtual, physical, and cognitive structures
Objective of the study: The research in this paper contributes to the understanding of how physical, virtual, and cognitive structures support innovation ecosystems’ multi-actor research, development, and innovation (R&D&I) collaboration in its different phases. Methodology/Approach: The research’s methodological approach is based on a qualitative case study research strategy. It is done by exploring three innovation ecosystem cases. The case data comprises the case ecosystems’ existing documentation that was supplemented with five semi-structured interviews. Originality/Relevance: Based on the findings of this research, it was possible to explore how industry and academy partners are collaborating through virtual, physical, and cognitive structures. Our cases also provide empirical evidence on how physical industrial sites can be used as environments for collaborative industry-academy R&D&I work. Main Results: As a result, the paper presents lessons learned from three different innovation ecosystem cases that involve industrial, technology, and academy partners to tackle industrial use cases through virtual, physical, and cognitive structures. An example of such lessons learned is assembling dynamic teams to solve industrial problems. Theoretical/Methodological Contributions: This article builds an understanding of how virtual, physical, and cognitive structures support collaboration between different participants in their joint R&D&I work covering industry-academy collaboration. The article also explains practical examples of this using innovation ecosystem cases. Management/Social Contributions: The findings of this study may benefit professionals and managers who have an interest in understanding collaborative R&D&I and how physical, virtual, and cognitive structures can support it. Furthermore, the results provide means and experiences for innovation ecosystem managers to facilitate the definition of operational models suitable for the context of their innovation ecosystems.
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