Library and Information Service

Library and Information Service >

2022 , Vol. 66 >Issue 10: 19 - 32

DOI: https://doi.org/10.13266/j.issn.0252-3116.2022.10.002

SPECIAL TOPIC:Technology Forecasting Method and Practice Under the Background of Innovation-driven Strategy

Research on the Method of Technology Opportunity Discovery Promoted by Science

  • Han Xiaotong ,
  • Zhu Donghua ,
  • Wang Xuefeng
Expand
  • School of Management and Economics, Beijing Institute of Technology, Beijing 100081

Received date: 2021-11-21

  Revised date: 2022-01-19

  Online published: 2022-06-01

Fold

Abstract

[Purpose/Significance] The close relationship between science and technology makes it more reasonable and efficient to analyze technology opportunities by combining papers and patents rather than using single data. This paper makes the generation of science-technology relationship more automatic, reduces the dependence on subjective judgment, and makes the technology units smaller. The purpose is to provide R&D suggestions for technology researchers, and help apply theories and ideas from scientific research to technological innovation.[Method/Process] The abstract texts of papers and patents were represented by Doc2vec vector, which were associated into a network through text similarity, and then science-technology clusters were generated based on Louvain algorithm to identify technology opportunities promoted by scientific research. Finally, 3D printing technology was taken as a case for empirical research.[Result/Conclusion] Several technology opportunities promoted by scientific research are identified, and it is verified that the identified opportunities have technological potential, which proves the feasibility and effectiveness of the method.

Key words： technology opportunity analysis; scientific impetus; patent analysis; Doc2vec; Louvain algorithm

Cite this article

Han Xiaotong , Zhu Donghua , Wang Xuefeng . Research on the Method of Technology Opportunity Discovery Promoted by Science[J]. Library and Information Service, 2022 , 66(10) : 19 -32 . DOI: 10.13266/j.issn.0252-3116.2022.10.002

References

[1] SCHUMPETER J A. The theory of economic development[J]. Journal of political economy, 1911, 1(2):170-172.
[2] PENROSE E. The Theory of the Growth of the Firm[M]. New Jersey:Blackwell, 2009.
[3] PORTER A L, MICHAEL J,DETAMPE L. Technology opportunities analysis[J]. Technological forecasting & social change, 1995, 49(3):237-255.
[4] PORTER A L, JIN X Y, GILMOUR J E, et al. Technology opportunities analysis-integrating technology monitoring, forecasting, and assessment with strategic-planning.[J]. SRA-Journal of the society of research, 1994, 26(2):21-31.
[5] ROBINSON D K R, HUANG L, GUO Y, et al. Forecasting Innovation Pathways (FIP) for new and emerging science and technologies[J]. Technological forecasting and social change, 2013, 80(2):267-285.
[6] SHIBATA N, KAJIKAWA Y, SAKATA I. Extracting the commercialization gap between science and technology-Case study of a solar cell[J]. Technological forecasting and social change, 2010, 77(7):1147-1155.
[7] DING Y, CHOWDHURY G G, FOO S. Journal as markers of intellectual space:journal co-citation analysis of Information Retrieval area, 1987-1997[J]. Scientometrics, 2000, 47(1):55-73.
[8] SHIBATA N, KAJIKAWA Y, SAKATA I. Detecting potential technological fronts by comparing scientific papers and patents[J]. Foresight, 2011, 13(5):51-60.
[9] TAKANO Y, KAJIKAWA Y. Extracting commercialization opportunities of the Internet of Things:measuring text similarity between papers and patents[J]. Technological forecasting and social change, 2019, 138(1):45-68.
[10] LI X, XIE Q, DAIM T, et al. Forecasting technology trends using text mining of the gaps between science and technology:the case of perovskite solar cell technology[J]. Technological forecasting and social change, 2019, 146(9):432-449.
[11] WANG M Y, FANG S C, CHANG Y H. Exploring technological opportunities by mining the gaps between science and technology:microalgal biofuels[J]. Technological forecasting and social change, 2015, 92(3):182-195.
[12] 王京安, 汤月, 王坤. 基于Citespace的技术机会发现研究——以物联网技术发展为例[J]. 现代情报, 2018, 38(2):130-137,170.
[13] 黄鲁成, 王静静, 李欣, 等. 基于论文和专利的钙钛矿太阳能电池的技术机会分析[J]. 情报学报, 2016, 35(7):686-695.
[14] 王坤, 王京安, 汤月, 等. 基于专利和科技论文的技术机会识别研究——以金属3D打印技术为例[J]. 科技管理研究, 2018, 38(7):73-79.
[15] PRICE M. Recent Studies in the Restoration and Eighteenth Century[J]. Studies in english literature, 1965, 5(3):553-574.
[16] NARIN F, HAMILTON K S, OLIVASTRO D. The increasing linkage between U.S. technology and public science[J]. Research policy, 1997, 26(3):317-330.
[17] NARIN F, OLIVASTRO D. Status report:Linkage between technology and science[J]. Research policy, 1992, 21(3):237-249.
[18] BRESCHI S, CATALINI C. Tracing the links between science and technology:An exploratory analysis of scientists' and inventors' networks[J]. Research policy, 2010, 39(1):14-26.
[19] Rosenberg N. Inside the Black Box[M]. Cambridge:Cambridge University Press,2010.
[20] KLEVORICK A K, LEVIN R C, NELSON R R, et al. On the sources and significance of interindustry differences in technological opportunities[J]. Research policy, 1995, 24(2):185-205.
[21] MANSFIELD E. Academic research and industrial innovation[J]. Research policy, 1991, 20(1):1-12.
[22] MEYER M. Tracing knowledge flows in innovation systems-an informetric perspective on future research science-based innovation[J]. Economic systems research, 2002, 14(4):323-344.
[23] PETRESCU A S. Science and technology for economic growth, new insights from when the data contradicts desktop models 1[J]. Review of policy research, 2009, 26(6):839-880.
[24] 赖院根. 期刊论文与专利文献的链接研究[J]. 图书情报知识, 2011(1):63-69.
[25] MCMILLAN G S, NARIN F, DEEDS D L. An analysis of the critical role of public science in innovation:the case of biotechnology[J]. Research policy, 2000, 29(1):1-8.
[26] NARIN F, NOMA E. Is technology becoming science?[J]. Scientometrics, 1985, 7(3):369-381.
[27] TIJSSEN, ROBERT JW. Global and domestic utilization of industrial relevant science:patent citation analysis of science-technology interactions and knowledge flows[J]. Research policy, 2001, 30(1):35-54.
[28] 赵黎明, 高杨, 韩宇. 专利引文分析在知识转移机制研究中的应用[J]. 科学学研究, 2002, 20(3):297-300.
[29] 刘立, 王耀德. 从专利引文看公共科学对技术创新的重要作用[J]. 科学学研究, 2003, 21(4):428-432.
[30] 殷媛媛. 基于论文专利引证关系的科学技术互动研究——以立体显示为实证分析[J]. 图书情报工作, 2012, 56(16):65-70,74.
[31] FLEMING L, SORENSON O. Science as a map in technological search[J]. Strategic management journal, 2004, 25(89):909-928.
[32] HELLMANN T. The role of patents for bridging the science to market gap[J]. Journal of economic behavior & organization, 2007, 63(4):624-647.
[33] 任智军, 乔晓东, 徐硕, 等. 基于数据挖掘的技术机会发现模型研究[J]. 情报杂志, 2015, 34(6):174-177,190.
[34] 张福俊, 叶权慧, 于路云. 基于知识图谱的海洋科学领域技术机会分析[J]. 科技管理研究, 2017, 37(24):165-170.
[35] 王兴旺, 董珏, 余婷婷, 等. 基于多种类型信息计量分析的前沿技术预测方法研究[J]. 情报杂志, 2018, 37(10):70-75,89.
[36] 韩燕, 彭爱东. 基于技术形成三要素的技术机会识别研究——以医疗服务机器人领域技术为例[J]. 情报理论与实践, 2020, 43(5):156-162.
[37] LE Q, MIKOLOV T. Distributed representations of sentences and documents[C]//ICML. Proceedings of the 31st International Conference on Machine Learning. Beijing:JMLR,2014.
[38] BLONDEL V D, GUILLAUME J-L, LAMBIOTTE R, et al. Fast unfolding of communities in large networks[J]. Journal of statistical mechanics:theory and experiment, 2008(10):P10008.
[39] CARPENTER M P, COOPER M, NARIN F. Linkage Between Basic Research Literature and Patents[J]. Research management, 1980, 23(2):30-35.
[40] HUANG Y, ZHU D, QIAN Y, et al. A hybrid method to trace technology evolution pathways:a case study of 3D printing[J]. Scientometrics, 2017, 111(1):185-204.
[41] 王金凤, 吴敏, 岳俊举, 等. 创新过程的技术机会识别路径研究——基于专利挖掘和形态分析[J]. 情报理论与实践, 2017, 40(8):82-86.
Options
Outlines

/

〈 〉

    Copyrights © LIS Press Co., Ltd. Reproduction is prohibited without permission.