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Event Structure Analysis as a Tool for Investigating Sustainability in Innovation Ecosystems

机译:事件结构分析作为调查创新生态系统可持续性的工具

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Agile innovation ecosystems are of great importance. To improve our understanding of the emergence, evolution and sustainability of innovation ecosystems there is a need for relational analysis methods. This article aligns with the call for innovation ecosystems to learn from other established research fields and move past mostly descriptive research. This is done through aligning ecosystems research with theories and methods that deal directly with how and why things change over time. Event-based research methods in which event sequences are explained in terms of causal mechanisms are a possible way forward. We use the case history of an mHealth application to show how one such method, Event Structure Analysis, can be used for investigating ecosystem dynamics. Understanding historical actor interactions and being able to analyse them is one way that innovation ecosystems can be proactively managed and thus made sustainable.
机译:敏捷创新生态系统具有重要意义。为了改善我们对创新生态系统的出现,进化和可持续性的理解,需要有关关系分析方法。本文与创新生态系统的呼吁对齐,从其他建立的研究领域学习,并通过大多数描述性研究。这是通过将生态系统与理论和方法对准,这些方法和方法与如何以及为什么随着时间的推移而变化。基于事件的研究方法,其中关于因果机制解释事件序列是可能的前进方向。我们使用MHealth应用程序的案例历史来展示一种这样的方法,事件结构分析如何用于调查生态系统动态。了解历史actor互动并能够分析它们是可以主动管理创新生态系统的一种方式,从而使可持续发展。

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