Triggering Research Creativity and Increasing Efficiency Through Open Innovation Platforms

T. Köhler, A. Skulimowski
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引用次数: 3

Abstract

Innovation stimulation and creativity support Systems (CSS) have been rapidly gaining importance in research activities. However, the overall outcome is still lagging behind the other areas of creativity studies, even though the strong influence of recent developments in the context of digitization and Web 2.0 has been discussed in scholarly publications. With this paper, the authors intend to link recommendations from an innovative creativity research scenario, which applies open online innovation technology, with previous results regarding creativity stimulation trends in online learning support systems and e-science platforms. This linkage is achieved by applying selected results from the aforementioned areas to the practice of innovative research and learning processes. The corresponding open innovation platform is recently developed as part of a trans-European Horizon 2020 flagship project. General system assessments, derived from user feedback in the presented Delphi survey, might be useful to optimize the research support algorithms. Specifically, authors conclude a platform management to modify their own information seeking behavior and respective information management technology in order to apply the potential of open innovation platforms more effectively. Even though scientists' awareness of the usefulness of Web 2.0 technologies is still insufficient, the base is created to enhance their research output by the creativity-supporting capabilities of new recommendation engines, designed for open learning and innovation platforms.
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通过开放式创新平台激发研究创造力,提高效率
创新激励与创新支持系统(CSS)在科研活动中的重要性日益凸显。然而,总体结果仍然落后于创造力研究的其他领域,尽管最近在数字化和Web 2.0背景下的发展的强大影响已经在学术出版物中进行了讨论。在本文中,作者打算将创新创造力研究场景的建议与先前关于在线学习支持系统和电子科学平台中创造力激发趋势的结果联系起来,该场景应用开放式在线创新技术。这种联系是通过将上述领域的选定结果应用于创新研究和学习过程的实践来实现的。作为跨欧洲地平线2020旗舰项目的一部分,相应的开放式创新平台最近被开发出来。一般系统评估,从用户反馈在提出的德尔菲调查,可能有助于优化研究支持算法。具体而言,作者总结了通过平台管理来调整自身的信息寻求行为和各自的信息管理技术,从而更有效地发挥开放式创新平台的潜力。尽管科学家们对Web 2.0技术有用性的认识还不够充分,但这个基础是为了提高他们的研究成果而建立的,通过为开放学习和创新平台设计的新推荐引擎的创新支持能力。
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