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Scientific Information Research

Keywords

patent information; identification of competitors; identification framework; patent portfolio analysis; intelligent connected vehicles

Abstract

[Purpose/significance]To enrich the identification methods of competitors in competitive intelligence strategies under the new situation, and provide decision support for enterprises to formulate technology competition strategies in complex and ever-changing market competition environments. [Method/process]This article using patents as data sources, construct a framework for identifying competitors and conduct empirical research.Firstly, based on the LDA model, identify the main technological research and development directions of the target enterprise and determine the set of candidate competitor enterprises; Secondly, construct a two-dimensional strategic coordinate based on technology and market similarity, and divide the candidate competitor combination of the target enterprise into direct, indirect, and potential competitors; Finally, the patent intensity index based on patent portfolio analysis is introduced to measure the technological competition gap between the target enterprise and its competitors, and to assess the relative competitive situation. This article conduct empirical research targeting Apollo Zhilian (Beijing) Technology Company in the field of intelligent connected vehicles. [Result/conclusion]Based on the competitor identification framework constructed in this article, a total of 5 competitors of Apollo Zhilian (Beijing) Technology Company were identified, including three types. At the same time, an analysis of the relative competitive situation between the target enterprise and its competitors was achieved in various major technological research and development directions. The empirical results indicate that the framework constructed in this article fully considers the technological resource endowment of the enterprise itself, the competitive gap with competitors, and can accurately meet the methodological of requirements of identifying competitors, with good application prospects.

First Page

69

Last Page

82

Digital Object Identifier (DOI)

10.19809/j.cnki.kjqbyj.2024.03.006

Reference

[1] 吴菲菲，杨梓，黄鲁成.基于专利信息的企业潜在竞争对手识别：以OLED技术为例[J].情报学报，2017，36（09）：954-963.
[2] 宋京坤，王克平，沈莹，等.大数据环境下战略性新兴企业竞争对手研究体系动力学模型研究[J].现代情报，2021，41（05）：112-120.
[3] 冉从敬，李旺.基于LDA的企业竞争对手识别模型构建：以蔚来汽车有限公司为例[J].情报理论与实践，2023，46（08）：88-95.
[4] FRY M，AJAMI A，BORG A.Bringing relevant information to diverse groups about emergency department services：The BRIDGE project[J].Australian Emergency Nursing Journal，2004，7（01）：19-22.
[5] 高兆梓.基于专利分析的竞争对手分类系统研究[D].青岛：山东科技大学，2010.
[6] 张红芹，鲍志彦.基于专利地图的竞争对手识别研究[J].情报科学，2011，29（12）：1825-1829.
[7] FAN X，LIU W，ZHU G.Scientific linkage and technological innovation capabilities：international comparisons of patenting in the solar energy industry[J].Scientometrics，2017，111（01）：117-138.
[8] 龚惠群，黄超.基于文献计量和专利分析的云计算产业竞争态势研究[J].中国科技论坛，2020（10）：17-27.
[9] KAY L，NEWMAN N，YOUTIE J，et al.Patent overlay mapping：Visualizing technological distance[J].Journal of the Association for Information Science & Technology，2014，65（12）：2432-2443.
[10] 刘高勇，吴金红，汪会玲.基于专利技术关联的产业竞争格局解析方法研究[J].情报杂志，2014，33（08）：48-51，91.
[11] 温芳芳.专利分类号耦合分析在企业潜在合作关系识别中的应用[J].现代情报，2018，38（07）：142-147.
[12] 李芳芳，王伟，穆晓敏，等.基于专利分析的中药企业技术竞争对手识别[J].中华医学图书情报杂志，2019，28（12）：46-49.
[13] MUN C，YOON S，PARK H，et al.Structural decomposition of technological domain using patent co-classification and classification hierarchy[J].Scientometrics，2019，121（02）：633-652.
[14] 王兴旺，孙济庆.专利地图技术在竞争对手分析中的应用研究[J].中国科技论坛，2009（06）：88-94．
[15] YANG G C，WANG Y L，HOU Y Y.An empirical perspective：Using patent citation for competitor identification[C].Proceedings of International Conference on Technological Innovation and Competitive Technical Intelligence，2010：152-160.
[16] 黎欢，彭爱东.专利引文三种关键技术挖掘方法比较分析：以全息摄影技术为例[J].图书情报工作，2013，57（20）：98-103.
[17] PARK I，YOON B.Technological opportunity discovery for technological convergence based on the prediction of technology knowledge flow in a citation network[J].Journal of Informetrics，2018，12（04）：1199-1222.
[18] AALDERING L J，LEKER J，SONGG C H.Competition or collaboration?：Analysis of technological knowledge ecosystem within the field of alternative powertrain systems：a patent-based approach[J].Journal of Cleaner Production，2019，212（00）：362-371.
[19] 郭思月，魏玉梅，滕广青，等.基于专利引用的技术竞争情报分析：以5G关键技术为例[J].情报理论与实践，2019，42（12）：1-7.
[20] SEO H，LEE S，KIM C.Identifying new business areas using patent information：A DEA and text mining approach[J].Expert Systems with Applications，2011，38（04）：2933-2941.
[21] WANG X F，REN H，CHEN Y，et al.Measuring patent similarity with SAO semantic analysis[J].Scientometrics，2019，121（01）：1-23.
[22] KIM K，PARK K，LEE S.Investigating technology opportunities：The use of SAOx analysis[J].Scientometrics，2019，118（01）：45-70.
[23] 史敏，罗建，蔡丽君.基于专利说明书语义分析的潜在竞争对手识别研究[J].情报学报，2020，39（11）：1171-1181.
[24] AN X，LI J，XU S，et al.An improved patent similarity measurement based on entities and semantic relations[J].Journal of Informetrics，2021，15（02）：101135.
[25] 高道斌，吴红，张彪，等.基于改进技术相似度计算的竞争对手辨别研究[J].情报杂志，2022，41（08）：53-61.
[26] 周洪，魏凤，孙玉琦.基于专利技术和应用二维框架的竞争对手识别研究：以DHA技术为例[J].情报理论与实践，2022，45（03）：149-156.
[27] 史敏，张圆，罗建.基于弱信号的潜在竞争对手识别方法研究[J].现代情报，2022，42（06）：104-111.
[28] 吴红，高道斌，张彪.专利视域下企业竞争对手识别的“T-M-C”模型研究[J].情报理论与实践，2022，45（11）：136-142，114.
[29] 高道斌,吴红,张彪,等.基于专利法律状态与加权技术相似度的竞争对手识别研究[J].情报杂志，2023，42（09）：155-163，178.
[30] 殷媛媛，肖沪卫.专利地图图形学及解读方法研究[J].图书情报工作，2010，54（S2）：363-370.
[31] 田京润，戚湧，吕薇，等.基于专利大数据挖掘的智能网联汽车产业核心技术识别研究[J].中国发明与专利，2023，20（05）：4-9，17.

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