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Social network analysis in innovation research: using a mixed methods approach to analyze social innovations

机译:创新研究中的社交网络分析:使用混合方法分析社交创新

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摘要

The importance of social networks for innovation diffusion and processes of social change is widely recognized in many areas of practice and scientific disciplines. Social networks have the potential to influence learning processes, provide opportunities for problem-solving, and establish new ideas. Thus, they can foster synergy effects, bring together key resources such as know-how of participating actors, and promote innovation diffusion. There is wide agreement regarding the usefulness of empirical methods of Social Network Analysis (SNA) for innovation and futures research. Even so, studies that show the chances of implementing SNA in these fields are still missing. This contribution addresses the research gap by exploring the opportunities of a mixed methods SNA approach for innovation research. It introduces empirical results of the author’s own quantitative and qualitative investigations that concentrate on five different innovation networks in the field of Education for Sustainable Development.
机译:社会网络对于创新传播和社会变革过程的重要性在实践和科学学科的许多领域得到了广泛认可。社交网络有可能影响学习过程,提供解决问题的机会并树立新思想的潜力。因此,它们可以促进协同效应,将关键资源(例如参与方的专有技术)聚集在一起,并促进创新扩散。关于社交网络分析(SNA)的经验方法对创新和期货研究的实用性已达成广泛共识。即便如此,仍缺乏在这些领域中实施SNA的机会的研究。该成果通过探索混合方法SNA方法进行创新研究的机会来填补研究空白​​。它介绍了作者自己的定量和定性研究的经验结果,这些研究集中于可持续发展教育领域的五个不同的创新网络。

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