Research Review on Technology Convergence Based on Patent Data

  • Lü Lucheng ,
  • Zhao Yajuan
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  • 1 National Science Library, Chinese Academy of Sciences, Beijing 100190;
    2 Department of Library, Information and Archives Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190

Received date: 2020-09-10

  Revised date: 2020-12-21

  Online published: 2021-04-22

Abstract

[Purpose/significance] Technology convergence research based on patent data is the main way and hot direction of technology convergence research. In order to support following research work of technology convergence, this paper reviews the current research of technology convergence based on patent data. [Method/process] According to the research content, the existing research can be divided into six categories:the research on the measurement and prediction method of technology convergence; the measurement and trend prediction of specific field, multi fields and whole field technology convergence; the research on the measurement index of technology convergence; the research on the characteristic factors influencing the technology convergence; the technology opportunity discovery based on the perspective of technology convergence and the research on the relationship between technology convergence and innovation. The research results were also commented. [Result/conclusion] Research on technology convergence based on patent data has achieved certain results, but there are still some problems, such as unreasonable measurement basis, lack of validation of prediction methods and low attention of the whole field research. These problems can be solved by introducing semantic relationship to optimize technology convergence network, using GNN technology to improve technology convergence prediction method and improving technology convergence measurement and prediction in the whole field.

Cite this article

Lü Lucheng , Zhao Yajuan . Research Review on Technology Convergence Based on Patent Data[J]. Library and Information Service, 2021 , 65(6) : 138 -148 . DOI: 10.13266/j.issn.0252-3116.2021.06.015

References

[1] ROSENBERG N. Technological change in the machine tool industry, 1840-1910[J]. The journal of economic history, 1963, 23(4):414-443.
[2] CURRAN C S, BRÖRING S, LEKER J. Anticipating converging industries using publicly available data[J]. Technological forecasting & social change, 2010, 77(3):385-395.
[3] CURRAN C S, LEKER J. Patent indicators for monitoring convergence - examples from NFF and ICT[J]. Technological forecasting & social change, 2011, 78(2):256-273.
[4] 李姝影,方曙.测度技术融合与趋势的数据分析方法研究进展[J].数据分析与知识发现,2017,1(7):2-12.
[5] 陈亮,张志强,尚玮姣.技术融合研究进展分析[J].情报杂志,2013,32(10):99-105.
[6] 王媛,曾德明,陈静,等.技术融合、技术动荡性与新产品开发绩效研究[J].科学学研究,2020,38(3):488-495.
[7] 克里斯坦森. 创新者的窘境:领先企业如何被新兴企业颠覆[M]. 胡建桥,译.北京:中信出版集团,2020.
[8] KOSE T, SAKATA I. Identifying technology convergence in the field of robotics research[J]. Technological forecasting and social change, 2019, 146:751-766.
[9] 刘康,刘西怀.基于学科视角的技术融合度研究——以中国知网技术标准共类分析为例[J].科技管理研究,2017,37(24):33-38.
[10] KIM J, KIM S, LEE C. Anticipating technological convergence:Link prediction using Wikipedia hyperlinks[J]. Technovation, 2019, 79:25-34.
[11] 栾春娟.基于专利耦合分析的技术会聚测度方法研究——兼论中西医对全球制药技术发展的影响[J].技术与创新管理,2017,38(4):366-373.
[12] SONG B, SUH Y. Identifying convergence fields and technologies for industrial safety:LDA-based network analysis[J]. Technological forecasting and social change, 2019, 138:115-126. 2019.
[13] EILERS K, FRISCHKORN J, EPPINGER E, et al. Patent-based semantic measurement of one-way and two-way technology convergence:The case of ultraviolet light emitting diodes (UV-LEDs)[J]. Technological forecasting and social change, 2019, 140:341-353.
[14] GEUM Y J, KIM C H, LEE S J, et al. Technological convergence of IT and BT:evidence from patent analysis[J]. Etri journal, 2012, 34(3):439-449.
[15] KIM P R, HWANG S H. A study on the identification of cutting-edge ICT-based converging technologies[J]. Etri journal, 2012, 34(4):602-612.
[16] 王贤文, 徐申萌, 彭恋, 等. 基于专利共类分析的技术网络结构研究:1971~2010[J]. 情报学报, 2013, 32(2):198-205.
[17] CHOI J Y, JEONG S, KIM K. A study on diffusion pattern of technology convergence:patent analysis for Korea[J]. Sustainability, 2015, 7(9):11546-11569.
[18] 李丫丫,赵玉林.基于专利的技术融合分析方法及其应用[J].科学学研究,2016,34(2):203-211.
[19] 董放. 基于文本分析与深度学习的机器人融合技术领域识别研究[D].武汉:华中科技大学,2018.
[20] KIM E, CHO Y, KIM W. Dynamic patterns of technological convergence in printed electronics technologies:patent citation network[J]. Scientometrics, 2014, 98(2):975-998.
[21] PASSING F, MOEHRLE M G. Measuring technological convergence in the field of smart grids:a semantic patent analysis approach using textual corpora of technologies[C]//IEEE. 2015 Portland international conference on management of engineering and technology. Portland:IEEE, 2015:559-570.
[22] LEE H. Research on the impact of technology taxonomy for the tracking of technology convergence[C]//IEEE. International conference on information and communication technology convergence. New York:IEEE, 2018:1452-1456.
[23] 梁伟军,易法海.农业与生物产业技术融合发展的实证研究——基于上市公司的授予专利分析[J].生态经济,2009(11):145-148.
[24] 单元媛,罗威.产业融合对产业结构优化升级效应的实证研究——以电子信息业与制造业技术融合为例[J].企业经济,2013,32(8):49-56.
[25] 沈蕾,靳礼伟.我国科技服务业与制造业技术融合对产业结构升级的影响[J].科技进步与对策,2015,32(8):67-70.
[26] 秦立芳. 基于专利交叉影响法的NBI会聚趋势研究[D].北京工业大学,2013.
[27] 苗红,秦立芳,黄鲁成,等.基于专利交叉影响法的NBIC会聚趋势研究[J].科技进步与对策,2013,30(20):94-98.
[28] 苗红,黄鲁成.基于专利交叉影响法的NBI会聚趋势分析[J].中国科技论坛,2014(1):134-139.
[29] 宋博文,栾春娟.基于多元技术会聚的会聚影响力研究[J].科技进步与对策,2019,36(16):1-8.
[30] 栾春娟."纳米-生物"会聚技术的测度及启示[J].科研管理,2012,33(7):48-58.
[31] 冯科,曾德明,周昕.技术融合的动态演化路径[J].科学学研究,2019,37(6):986-995.
[32] HAN E J, SOHN S Y. Technological convergence in standards for information and communication technologies[J]. Technological forecasting and social change, 2016, 106:1-10.
[33] 黄鲁成,黄斌,吴菲菲,等.基于专利共类的信息与生物技术融合趋势分析[J].情报杂志,2014,33(8):59-63.
[34] 苗红,张俊哲,黄鲁成,等.基于关联规则与信息熵的技术融合趋势研究[J].科技进步与对策,2017,34(16):1-6.
[35] 周磊,杨威.基于加权关联规则的技术融合探测[J].情报杂志,2019,38(1):67-72,60.
[36] KIM E. Exploring technological convergence based on value proposition types of IT firms[C]//IEEE. 2013 Proceedings of technology management in the It-driven services. New York:IEEE, 2013:1452-1459. 2013.
[37] 苏华,刘文君.基于社会网络方法的核科学与技术融合路径研究[J].南华大学学报(社会科学版),2018,19(6):5-11.
[38] JEON J, SUH Y. Multiple patent network analysis for identifying safety technology convergence[J]. Data technologies and applications, 2019, 53(3):269-285.
[39] 慎金花,闫倩倩,孙乔宣,等.基于专利数据挖掘的技术融合识别与技术机会预测研究——以电动汽车产业为例[J].图书馆杂志,2019,38(10):95-106.
[40] 张欣琦. 基于专利扫描的技术融合创新轨道监测系统研究[D].北京:北京工业大学,2014.
[41] LEE C, KOGLER D F, LEE D. Capturing information on technology convergence, international collaboration, and knowledge flow from patent documents:a case of information and communication technology[J]. Information processing & management, 2019, 56(4):1576-1591.
[42] 李树刚,刘颖,郑玲玲.基于专利挖掘的感知人工智能技术融合趋势分析[J].科技进步与对策,2019,36(23):28-35.
[43] KIM J, LEE S. Forecasting and identifying multi-technology convergence based on patent data:the case of IT and BT industries in 2020[J]. Scientometrics,2017,111(1):47-65.
[44] PARK Y, YOON B. Technological opportunity discovery for technological convergence based on the prediction of technology knowledge flow in a citation network[J]. Journal of informetrics,2018,12:1199-1222.
[45] LEE W S, HAN E J, SOHN S Y. Predicting the pattern of technology convergence using big-data technology on large-scale triadic patents[J]. Technological forecasting and social change, 2015, 100:317-329.
[46] KWON O, AN Y, KIM M, et al. Anticipating technology-driven industry convergence:evidence from large-scale patent analysis[J]. Technology analysis & strategic management, 2020, 32(4):363-378.
[47] 刘鑫,武兰芬.面向专利技术融合的3D打印产业化路径选择研究[J].科技进步与对策,2017,34(22):72-77.
[48] 苗红,赵润博,黄鲁成.老年可穿戴技术融合演化特征研究[J].情报杂志,2019,38(6):64-71.
[49] MIAO H, GUO X, WU F F, et al. Identification of the technology convergence in the field of elderly smart home based on louvain community discovery algorithm[C]//ACM. Proceedings of 3rd international conference on information system and data mining. New York:Assoc Computing Machinery, 2019:47-53.
[50] CHOI J, LEE S, SAWNG Y W. The dynamics of industry convergence in the automotive industry:a technological perspective analysis using patent data[J]. Journal of scientific & industrial research, 2019, 78(11):760-765.
[51] 吕一博,韦明,林歌歌.基于专利计量的技术融合研究:判定、现状与趋势——以物联网与人工智能领域为例[J].科学学与科学技术管理,2019,40(4):16-31.
[52] JEONG S, KIM J C, CHOI J Y. Technology convergence:What developmental stage are we in?[J]. Scientometrics, 2015, 104(3):841-871.
[53] 栾春娟.技术部类内部会聚指数的测度方法与指标[J].科技进步与对策,2015,32(19):126-129.
[54] 栾春娟,覃雪.技术部类之间会聚指数测度的方法与指标[J].研究与发展管理,2016,28(3):67-78.
[55] YUN J, GEUM Y, CHOI J Y. Analysing the dynamics of technological convergence using a co-classification approach:a case of healthcare services[J]. Technology analysis & strategic management, 2019, 31(12):1412-1429.
[56] 娄岩,杨嘉林,黄鲁成,等.基于专利共类的技术融合分析框架研究——以老年福祉技术与信息技术的融合为例[J].现代情报,2019,39(9):41-53.
[57] 翟东升,张京先.基于专利技术共现网络的无人驾驶汽车技术融合演化研究[J].情报杂志,2020,39(4):60-66,19.
[58] 宋昱晓. 基于专利的技术融合趋势研究[D].北京:北京工业大学,2017.
[59] 娄岩,杨培培,黄鲁成,等.基于专利的技术融合测度方法——以信息技术与电动汽车技术的融合为例[J].现代情报,2017,37(8):142-153.
[60] 苗红,赵润博,黄鲁成,等.基于LMDI分解模型的技术融合驱动因素研究[J].科技进步与对策,2019,36(3):11-18.
[61] CHO Y, KIM M. Entropy and gravity concepts as new methodological indexes to investigate technological convergence:patent network-based approach[J]. PLoS one, 2014, 9(6):17.
[62] 刘娜,荣雪云,毛荐其.技术会聚模式及辨识研究——以储能领域为例[J].情报杂志,2018,37(12):20-27.
[63] LUAN C J, LIU Z Y, WANG X W. Divergence and convergence:technology-relatedness evolution in solar energy industry[J]. Scientometrics, 2013, 97(2):461-475.
[64] 苗红,赵润博,黄鲁成,等.基于LDA-SVM分类算法的技术融合测度研究[J].科学学与科学技术管理,2018,39(10):13-29.
[65] 赵玉林,李丫丫.技术融合、竞争协同与新兴产业绩效提升——基于全球生物芯片产业的实证研究[J].科研管理,2017,38(8):11-18.
[66] SONG C H, ELVERS D, LEKER J. Anticipation of converging technology areas - a refined approach for the identification of attractive fields of innovation[J]. Technological forecasting and social change, 2017, 116:98-115.
[67] CAVIGGIOLI F. Technology fusion:identification and analysis of the drivers of technology convergence using patent data[J]. Technovation, 2016, 55-56:22-32.
[68] KIM K. Impact of firms' cooperative innovation strategy on technological convergence performance:the case of Korea's ICT industry[J]. Sustainability, 2017, 9(9):22.
[69] CHOI J Y, JEONG S, JUNG J K. Evolution of technology convergence networks in Korea:characteristics of temporal changes in R&D according to institution type[J]. Plos one, 2018, 13(2):23.
[70] 宋昱晓,苗红.基于专利的技术融合趋势的驱动因素研究[J].情报杂志,2017,36(12):98-105.
[71] 冯科,曾德明.技术融合距离的聚类特征与影响因素——基于大规模专利数据的实证研究[J].管理评论,2019,31(8):97-109.
[72] WANG Z N, PORTER A L, WANG X F, et al. An approach to identify emergent topics of technological convergence:a case study for 3D printing[J]. Technological forecasting and social change, 2019, 146:723-732.
[73] LEE S, CHOI J, SAWNG Y W. Foresight of promising technologies for healthcare-iot convergence service by patent analysis[J]. Journal of scientific & industrial research, 2019, 78(8):489-494.
[74] 周磊,杨威,王芮.技术融合视角下新兴技术识别研究[J].科技进步与对策,2018,35(15):57-62.
[75] 杜建,孙轶楠,李永洁,等.从科学-技术交叉处识别创新前沿:方法与实证[J].情报理论与实践,2019,42(1):94-99.
[76] 李永洁,杜建,孙轶楠,等.基于科学技术交叉的神经科学领域内新兴技术识别[J].中华医学图书情报杂志,2019,28(1):27-33.
[77] DU J, LI P X, GUO Q Y, et al. Measuring the knowledge translation and convergence in pharmaceutical innovation by funding-science-technology-innovation linkages analysis[J]. Journal of informetrics, 2019, 13(1):132-148.
[78] LEE C, PARK G, KANG J. The impact of convergence between science and technology on innovation[J]. Journal of technology transfer, 2018, 43(2):522-544.
[79] KIM K, JUNG S, HWANG J. Technology convergence capability and firm innovation in the manufacturing sector:an approach based on patent network analysis[J]. R & D management, 2019, 49(4):595-606.
[80] 廖磊. 基于技术融合下的IT企业技术创新的动态演化机制[D].南昌:江西财经大学,2009.
[81] 毛荐其,李新秀,刘娜.技术会聚对创新绩效的作用机制研究[J].科技进步与对策,2018,35(20):9-14.
[82] 李新秀. 技术会聚的辨识及其对创新绩效的影响[D].烟台:山东工商学院,2018.
[83] 刘娜,荣雪云,毛荐其.新兴交叉领域技术会聚对技术价值的影响研究——以纳米生物制药领域为例[J].技术与创新管理,2019,40(6):728-736.
[84] WU Z, PAN S, CHEN F, et al. A comprehensive survey on graph neural networks[J]. IEEE transactions on neural networks and learning systems, 2020, 32(1):4-24.
[85] 中国科学报.《2020研究前沿》报告发布[EB/OL].[2020-11-18]. http://news.sciencenet.cn/htmlnews/2020/11/448506.shtm.
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