图书情报与档案管理前沿热点专辑

技术会聚:内涵、现状与测度——兼论与学科交叉的关系

  • 张琳 ,
  • 彭玉杰 ,
  • 杜会英 ,
  • 黄颖
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  • 1. 华北水利水电大学管理与经济学院 郑州 450017;
    2. 武汉大学信息管理学院 武汉 430072;
    3. 比利时鲁汶大学ECOOM研究中心 鲁汶 B-3000
张琳(ORCID:0000-0003-0526-9677),教授,博士,博士生导师;彭玉杰(ORCID:0000-0003-0639-0233),硕士研究生;杜会英(ORCID:0000-0002-8025-0864),硕士研究生。

收稿日期: 2020-05-05

  修回日期: 2020-08-18

  网络出版日期: 2021-01-05

基金资助

本文系国家自然科学基金面上项目"交叉科学的三维测度:内在知识基础、外在信息链接和科学活动模式"(项目编号:71573085)、国家自然科学基金面上项目"科研人员职业生涯的性别差异和影响机理研究:合作、流动与学术表现"(项目编号:71974150)和国家青年科学基金项目"基于多源异构数据的新兴技术演化路径识别与预测研究"(项目编号:72004169)研究成果之一。

Technology Convergence: Connotation, Status, Measurement, and the Relationship with Interdisciplinary Science

  • Zhang Lin ,
  • Peng Yujie ,
  • Du Huiying ,
  • Huang Ying
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  • 1. School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046;
    2. School of Information Management, Wuhan University, Wuhan 430072;
    3. Centre for R&D Monitoring(ECOOM) and Department of MSI, KU Leuven, Leuven B-3000, Belgium

Received date: 2020-05-05

  Revised date: 2020-08-18

  Online published: 2021-01-05

Supported by

 

摘要

[目的/意义] 学科之间的交叉与技术之间的会聚是推动现代科学技术发展的重要力量,通过明晰技术会聚的内涵,探究其研究进展以及测度指标,以期能够为解读技术会聚的知识结构与相关研究的开展提供一定的参考。[方法/过程] 应用文献调研和文献计量学的方法在辨析技术会聚与技术融合内涵的基础上,从学科、主题分布方面对技术会聚的相关内容进行可视化分析,并从多样性和凝聚性视角对测度指标进行梳理与解读,最后进一步辨析了技术会聚与学科交叉的异同。[结果/结论] 技术会聚与技术融合在多数情况下意义一致,二者之间的细微差异反映在融合模式上;技术会聚的测度一般基于多样性和凝聚性两个视角,前者是从丰富度、均匀度和差异度三个维度来进行测度,后者则主要衡量技术网络中节点的作用和关系;从一阶和二阶主题研究展开,技术会聚与学科交叉的科研活动具有相似性,相同视角和维度的学科交叉指标也为测度技术会聚的程度、多样性和衡量不同技术之间的融合关系提供了借鉴。

本文引用格式

张琳 , 彭玉杰 , 杜会英 , 黄颖 . 技术会聚:内涵、现状与测度——兼论与学科交叉的关系[J]. 图书情报工作, 2021 , 65(1) : 91 -101 . DOI: 10.13266/j.issn.0252-3116.2021.01.014

Abstract

[Purpose/significance] The intersection and infiltration between disciplines and the convergence and integration of technologies are essential forces to promote the development of modern science and technology. By clarifying the connotation of technology convergence, this paper explores its research progress and measuring indicators, so as to provide a reference for understanding the knowledge structure of technology convergence and related research. [Method/process] We firstly employed the literature survey and bibliometrics methods to analyze the connotation of technology convergence and technology fusion. Then, we visualized the distribution of discipline and theme for technological convergence research and summarized the measurement indicators from the perspective of diversity and cohesion. Finally, we further clarified the similarities and differences between technology convergence and interdisciplinary research. [Result/conclusion] Technology convergence and technology fusion have the same connotation in many cases, and the subtle differences between them are reflected in the convergence patterns. Measuring the degree of the technology convergence includes two perspectives: 1) diversity scope: introducing the three dimensions of variety, balance, and disparity; 2) cohesion scope: concerning the network attribute of technology fields. From the first-order and second-order theme, the research activities of technology convergence and interdisciplinary are similar. Interdisciplinary indicators of the same perspective and dimension also provide a reference for measuring the degree of technology convergence, diversity and measuring the convergence relationship between different technologies.

参考文献

[1] 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.
[2] LEI D T. Industry evolution and competence development:the imperatives of technological convergence[J]. International journal of technology management, 2000, 19(7/8):699-738.
[3] YOFFIE D B. Competing in the age of digital convergence[M]. Boston:Harvard business school press, 1997.
[4] KATZ M L. Remarks on the economic implications of convergence[J]. Industrial and corporate change, 1996, 5(4):1079-1095.
[5] 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(4):1199-1222.
[6] 栾春娟, 覃雪, 黄福. 技术大类之间会聚指数测度的理论与方法[J]. 科技管理研究, 2016, 36(8):188-193.
[7] 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.
[8] CHO Y, KIM E, KIM W. Strategy transformation under technological convergence:evidence from the printed electronics industry[J]. International journal of technology management, 2015, 674(67):106-131.
[9] FISHER E. The convergence of nanotechnology, policy, and ethics[J]. Advances in computers, 2007, 71(6):273-296.
[10] KUEI TIEN C, HWA MEEI L. Risk and ethical governance of nano-convergence technology:an initial comparison of the technological impact assessment between Korea and Taiwan[J]. Asian j Wto & int'l health l & pol'y, 2011, 6(1):235-280.
[11] ROCO M C. Possibilities for global governance of converging technologies[J]. Journal of nanoparticle research, 2008, 10(1):11-29.
[12] GEUM Y, KIM C, LEE S, et al. Technological convergence of IT and BT:evidence from patent analysis[J]. Etri journal, 2012, 34(3):439-449.
[13] KARVONEN M, KÄSSI T. Patent citations as a tool for analysing the early stages of convergence[J]. Technological forecasting and social change, 2013, 80(6):1094-1107.
[14] ROSENBERG N. Technological change in the machine tool industry, 1840-1910[J]. The journal of economic history, 1963, 23(4):414-443.
[15] CURRAN C-S, LEKER J. Patent indicators for monitoring convergence-examples from NFF and ICT[J]. Technological forecasting and social change, 2011, 78(2):256-273.
[16] PHILLIPS F Y. Market-oriented technology management:innovating for profit in entrepreneurial times[M]. Berlin:Springer science & business media, 2013.
[17] ZHOU Y, DONG F, KONG D, et al. Unfolding the convergence process of scientific knowledge for the early identification of emerging technologies[J]. Technological forecasting and social change, 2019, 144:205-220.
[18] 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.
[19] JEONG S, LEE S. What drives technology convergence? Exploring the influence of technological and resource allocation contexts[J]. Journal of engineering technology management, 2015, 36:78-96.
[20] 刘娜, 毛荐其, 余光胜. 技术会聚研究探析与展望[J]. 科研管理, 2017, 38(12):20-28.
[21] 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):e98009.
[22] FEDERICO C. Technology fusion:identification and analysis of the drivers of technology convergence using patent data[J]. Technovation, 2016, 55-56:22-32.
[23] BORéS C, SAURINA C, TORRES R. Technological convergence:a strategic perspective[J]. Technovation, 2003, 23(1):1-13.
[24] CURRAN C S. The anticipation of converging industries[M]. Berlin:Springer, 2013.
[25] KODAMA F. Emerging patterns of innovation:sources of Japan's technological edge[M]. Boston:Harvard business school press, 1995.
[26] CARLEY S, PORTER A L, RAFOLS I, et al. Visualization of disciplinary profiles:enhanced science overlay maps[J]. Journal of data and information science, 2017, 2(3):68-111.
[27] WALTMAN L, VAN ECK N J. A smart local moving algorithm for large-scale modularity-based community detection[J]. The european physical journal B, 2013, 86(11):471.
[28] MCCANN K S. The diversity-stability debate[J]. Nature, 2000, 405(6783):228-233.
[29] STIRLING A. A general framework for analysing diversity in science, technology and society[J]. Journal of the royal society interface, 2007, 4(15):707-719.
[30] 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.
[31] SHANNON C E. A mathematical theory of communication[J]. Bell system technical journal, 1948, 27(3):379-423.
[32] 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.
[33] SIMPSON E H. Measurement of diversity[J]. Nature, 1949, 163(4148):688-688.
[34] KO N, YOON J, SEO W. Analyzing interdisciplinarity of technology fusion using knowledge flows of patents[J]. Expert systems with applications, 2014, 41(4):1955-1963.
[35] LEE C, PARK G, KANG J. The impact of convergence between science and technology on innovation[J]. Journal of technology transfer, 2016, 43(1):1-23.
[36] SHIM W, KWON O-J, MOON Y-H, et al. Understanding the dynamic convergence phenomenon from the perspective of diversity and persistence:a cross-sector comparative analysis between the United States and South Korea[J]. Plos one, 2016, 11(7):e0159249.
[37] PORTER A L, ROESSNER D J, HEBERGER A E. How interdisciplinary is a given body of research?[J]. Research evaluation, 2008, 17(4):273-282.
[38] PORTER A L, COHEN A S, DAVID ROESSNER J, et al. Measuring researcher interdisciplinarity[J]. Scientometrics, 2007, 72(1):117-147.
[39] KWON S, PORTER A, YOUTIE J. Navigating the innovation trajectories of technology by combining specialization score analyses for publications and patents:graphene and nano-enabled drug delivery[J]. Scientometrics, 2016, 106(3):1057-1071.
[40] 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.
[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] 张琳, 黄颖. 交叉科学:测度、评价与应用[M]. 北京:科学出版社, 2019.
[43] ROCO M C, BAINBRIDGE W S. The new world of discovery, invention, and innovation:convergence of knowledge, technology, and society[J]. Journal of nanoparticle research, 2013, 15(9):1-17.
[44] 王海涛. NBIC融合技术与交叉学科发展模式研究[D]. 北京:中国人民解放军军事医学科学院, 2008.
[45] LEYDESDORFF L, RAFOLS I. Indicators of the interdisciplinarity of journals:diversity, centrality, and citations[J]. Journal of informetrics, 2011, 5(1):87-100.
[46] LEYDESDORFF L, WAGNER C S, BORNMANN L. Betweenness and diversity in journal citation networks as measures of interdisciplinarity-a tribute to Eugene Garfield[J]. Scientometrics, 2018, 114(2):567-592.
[47] RAFOLS I, MEYER M. Diversity and network coherence as indicators of interdisciplinarity:case studies in bionanoscience[J]. Scientometrics, 2009, 82(2):263-287.
[48] KRACKHARDT D, STERN R N. Informal networks and organizational crises:an experimental simulation[J]. Social psychology quarterly, 1988, 51(2):123-140.
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