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Navigating a product landscape for technology opportunity analysis: A word2vec approach using an integrated patent-product database
Technovation ( IF 12.5 ) Pub Date : 2020-05-07 , DOI: 10.1016/j.technovation.2020.102140
Changyong Lee , Daeseong Jeon , Joon Mo Ahn , Ohjin Kwon

Technology opportunity analysis has been the subject of many prior studies, although most of them have focused on discovering new technology ideas in a single narrow domain. This study proposes a product landscape analysis to identify product areas (i.e., potential technology opportunities) across multiple domains that firms can enter based on the technological capabilities embodied in their existing products. First, text mining is used to construct an integrated patent-product database from the United States patent and trademark database. Second, word2vec is employed to construct a product landscape as a vector space model where products with similar technological bases are located close to each other while maintaining the technological relationships. Third, given a product of interest, potential technology opportunities are identified via (1) automatic opportunity analysis that identifies product areas with technological bases similar to those of the product; and (2) interactive opportunity analysis that finds product areas based on experts’ queries modifying the technological bases of the product (i.e., addition and subtraction). Finally, ten quantitative indexes are developed to explore the implications of the potential technology opportunities identified. The case study covering 3,016,315 patents and 160,832 products confirms that the proposed approach is valuable as a creativity support tool for technology opportunity analysis in the era of convergence.



中文翻译:

导航产品前景以进行技术机会分析:使用集成专利产品数据库的word2vec方法

技术机会分析一直是许多先前研究的主题,尽管大多数研究都集中在发现单个狭窄领域中的新技术思想上。这项研究提出了一种产品格局分析,以根据企业现有产品所体现的技术能力,确定企业可以进入的多个领域的产品领域(即潜在的技术机会)。首先,使用文本挖掘从美国专利和商标数据库构建一个集成的专利产品数据库。其次,使用word2vec将产品格局构建为向量空间模型,在这种空间模型中,具有相似技术基础的产品在保持技术关系的同时彼此靠近。第三,给定感兴趣的产品,通过(1)自动机会分析来识别潜在的技术机会,该机会分析可识别具有与产品相似的技术基础的产品领域;(2)交互式机会分析,它基于专家的查询来发现产品领域,这些查询修改了产品的技术基础(即加法和减法)。最后,开发了十个量化指标,以探讨确定的潜在技术机会的含义。涵盖3,016,315项专利和160,832产品的案例研究证实,所提出的方法作为融合时代技术机会分析的创造力支持工具非常有价值。(2)交互式机会分析,它基于专家的查询来发现产品领域,这些查询修改了产品的技术基础(即加法和减法)。最后,开发了十个量化指标,以探讨确定的潜在技术机会的含义。涵盖3,016,315项专利和160,832产品的案例研究证实,所提出的方法作为融合时代技术机会分析的创造力支持工具非常有价值。(2)交互式机会分析,它基于专家的查询来发现产品领域,这些查询修改了产品的技术基础(即加法和减法)。最后,开发了十个量化指标,以探讨确定的潜在技术机会的含义。涵盖3,016,315项专利和160,832产品的案例研究证实,所提出的方法作为融合时代技术机会分析的创造力支持工具非常有价值。

更新日期:2020-05-07
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