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Concentric diversification based on technological capabilities: Link analysis of products and technologies

机译:基于技术能力的同心多元化:产品和技术的链接分析

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This research responds to the needs for concentric diversification by focusing on how firms can find new business opportunities based on their technological capabilities. We propose a systematic approach to identifying potential areas for concentric diversification at a product level via link analysis of products and technologies. For this, first, text mining is utilised to construct an integrated patent-product database from the US patent and trademark database. Second, association rule mining is employed to construct a product ecology network using directed technological relationships between products. Third, a link prediction analysis is conducted to identify potential areas for concentric diversification at a product level. Finally, three quantitative indicators are developed to assess the characteristics of the areas identified. Our case study employs a total of 850,676 patents and 328,288 products in the integrated patent-product database from 2010 to 2014 and shows that the proposed approach enables a wide-ranging search for potential areas for concentric diversification and the quick assessment of their characteristics, with statistically significant results. We believe that the proposed approach will be useful as a complementary tool for decision making for small and medium-sized high-tech companies that are considering entering new business areas, but which have little domain knowledge. (C) 2017 Elsevier Inc. All rights reserved.
机译:这项研究通过关注企业如何根据其技术能力找到新的商机来满足同心多元化的需求。我们提出一种系统的方法,通过对产品和技术的链接分析来确定产品级别上同心多元化的潜在领域。为此,首先,利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,使用关联规则挖掘,利用产品之间的直接技术关系来构建产品生态网络。第三,进行链接预测分析,以识别产品级别同心多样化的潜在领域。最后,制定了三个定量指标以评估所确定区域的特征。我们的案例研究从2010年到2014年在集成的专利产品数据库中总共使用了850,676项专利和328,288项产品,结果表明,所提出的方法可以广泛地寻找同心多元化的潜在领域并快速评估其特性,具有统计意义的结果。我们认为,对于正在考虑进入新业务领域但领域知识很少的中小型高科技公司,该提议的方法将作为决策的补充工具。 (C)2017 Elsevier Inc.保留所有权利。

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