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Toward data-driven idea generation: Application of Wikipedia to morphological analysis

机译：走向数据驱动的想法生成：Wikipedia在形态分析中的应用

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摘要

The generation of new and creative ideas is vital to stimulating innovation. Morphological analysis is one appropriate method given its objective, impersonal, and systematic nature. However, how to build a morphological matrix is a critical problem, especially in the big data era. This research focuses on Wikipedia's case-specific characteristics and well-coordinated knowledge structure and attempts to integrate the platform with morphological analysis. In details, several methodological options are explored to implement Wikipedia data into morphological analysis. We then propose a Wikipedia-based approach to the development of morphological matrix, which incorporates the data on table of contents, hyperlinks, and categories. Its feasibility was demonstrated through a case study of drone technology, and its validity and effectiveness was shown based on a comparative analysis with a conventional discussion-based approach. The methodology is expected to be served as an essential supporting tool for generating creative ideas that could spark innovation.
机译：产生新的创意对激发创新至关重要。鉴于其客观，客观和系统的性质，形态分析是一种合适的方法。但是，如何构建形态矩阵是一个关键问题，尤其是在大数据时代。这项研究着重于Wikipedia的案例特定特征和协调良好的知识结构，并试图将平台与形态分析相集成。详细地，探索了几种方法学选项以将Wikipedia数据实现为形态分析。然后，我们提出了一种基于维基百科的形态学矩阵开发方法，该方法将目录，超链接和类别中的数据合并在一起。通过对无人机技术的案例研究证明了其可行性，并通过与基于传统讨论方法的比较分析，证明了其有效性和有效性。预期该方法将用作产生可激发创新的创意的基本支持工具。

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