[1] 郭小超, 雷婧, 冯银虎, 等. 基于知识图谱的国际突破性创新理论研究综述[J]. 科学管理研究, 2020, 38(1):20-26. [2] 邵云飞, 詹坤, 吴言波. 突破性技术创新:理论综述与研究展望[J]. 技术经济, 2017, 36(4):30-37. [3] HAIN D S, CHRISTENSEN J L. Capital market penalties to radical and incremental innovation[J]. European journal of innovation management, 2020, 23(2):291-313. [4] 万宁. 浅析颠覆性创新、破坏性创新和突破性创新三者关系[J]. 商, 2015(30):122-123. [5] ABERNATHY W J, UTTERBACK J M J T R. Patterns of innovation in technology[J]. Technology review, 1978, 80(7):41-47. [6] MCDERMOTT C M, O'CONNOR G C. Managing radical innovation:an overview of emergent strategy issues[J]. Journal of product innovation management, 2002, 19(6):424-438. [7] LEIFER R. Radical innovation:how mature companies can outsmarts upstatrs[M]. Brighton:Harvard Business Press, 2000. [8] 张金柱, 张晓林. 基于专利科学引文的突破性创新识别研究述评[J]. 情报学报, 2016, 35(9):955-962. [9] SCHOENMAKERS W, DUYSTERS G. The technological origins of radical inventions[J]. Research policy, 2010, 39(8):1051-1059. [10] DAHLIN K B, BEHRENS D M. When is an invention really radical? defining and measuring technological radicalness[J]. Research policy, 2005, 34(5):717-737. [11] YOON J, KIM K. Identifying rapidly evolving technological trends for R&D planning using SAO-based semantic patent networks[J]. Scientometrics, 2011, 88(1):213-228. [12] SHIBATA N, KAJIKAWA Y, TAKEDA Y, et al. Detecting emerging research fronts based on topological measures in citation networks of scientific publications[J]. Technovation, 2008, 28(11):758-775. [13] 刘亚辉, 许海云. 突破性创新早期识别与弱信号分析综述[J]. 图书情报工作, 2021, 65(4):89-101. [14] ZHANG Y, ZHANG G, CHEN H, et al. Topic analysis and forecasting for science, technology and innovation:methodology with a case study focusing on big data research[J]. Technological forecasting and social change, 2016, 105:179-191. [15] 李慧, 玄洪升. 专利视角下融合多属性的技术创新主题挖掘方法——以芯片领域专利为例[J]. 图书情报工作, 2020, 64(11):96-107. [16] CHEN H, WANG X, PAN S, et al. Identify topic relations in scientific literature using topic modeling[J]. IEEE transactions on engineering management, 2021, 68(5):1232-1244. [17] CHEN H, ZHANG G, ZHU D, et al. Topic-based technological forecasting based on patent data:a case study of Australian patents from 2000 to 2014[J]. Technological forecasting and social change, 2017, 119:39-52. [18] SUOMINEN A, TOIVANEN H. Map of science with topic modeling:comparison of unsupervised learning and human-assigned subject classification[J]. Journal of the Association for Information Science and Technology, 2016, 67(10):2464-2476. [19] JUNG S, YOON W C. An alternative topic model based on common interest authors for topic evolution analysis[J]. Journal of informetrics, 2020, 14(3):101040. [20] MIKOLOV T, SUTSKEVER I, CHEN K, et al. Distributed representations of words and phrases and their compositionality[C]//Proceedings of the 26th international conference on neural information processing systems. New York:ACM, 2013:3111-3119. [21] ZHANG Y, LU J, LIU F, et al. Does deep learning help topic extraction? a kernel k-means clustering method with word embedding[J]. Journal of informetrics, 2018, 12(4):1099-1117. [22] CHEN H, JIN Q, WANG X, et al. Profiling academic-industrial collaborations in bibliometric-enhanced topic networks:a case study for digitalization research[J]. Technological forecasting and social change, 2022, 175:121402. [23] DEWAR R D, DUTTON J E. The adoption of radical and incremental innovations:an empirical analysis[J]. Management science, 1986, 32(11):1422-1433. [24] LI H, ZHANG Q, ZHENG Z. Research on enterprise radical innovation based on machine learning in big data background[J]. Journal of supercomputing, 2020, 76(5):3283-3297. [25] 曹艺文, 许海云, 武华维, 等. 基于引文曲线拟合的新兴技术主题的突破性预测——以干细胞领域为例[J]. 图书情报工作, 2020, 64(5):100-113. [26] ZHOU K Z, YIM C K, TSE D K. The effects of strategic orientations on technology- and market-based breakthrough innovations[J]. Journal of marketing, 2005, 69(2):42-60. [27] 许海云, 刘亚辉, 罗瑞. 突破性科学创新早期识别研究综述[J]. 情报理论与实践, 2021, 44(4):198-205. [28] ARTS S V R. The technological origins and novelty of breakthrough inventions[C]//35th DRUID celebration conference. Spain:Barcelona, 2013:1-30. [29] 周磊, 杨威, 张玉峰. 基于专利挖掘的突破性创新识别框架研究[J]. 情报理论与实践, 2016, 39(9):73-76,46. [30] 黄鲁成, 蒋林杉, 吴菲菲. 萌芽期颠覆性技术识别研究[J]. 科技进步与对策, 2019, 36(1):10-17. [31] PONOMAREV I, LAWTON B K, WILLIAMS D E, et al. Breakthrough paper indicator 2.0:can geographical diversity and interdisciplinarity improve the accuracy of outstanding papers prediction?[J]. Scientometrics, 2014, 100(3):755-765. [32] KLEINBERG J. Bursty and hierarchical structure in streams[J]. Data mining and knowledge discovery, 2003, 7(4):373-397. [33] 张金柱, 张晓林. 基于被引科学知识主题突变的突破性创新识别[J]. 现代图书情报技术, 2016(Z1):42-50. [34] CHEN C, CHEN Y, HOROWITZ M, et al. Towards an explanatory and computational theory of scientific discovery[J]. Journal of informetrics, 2009, 3(3):191-209. [35] AHUJA G, LAMPERT C M. Entrepreneurship in the large corporation:a longitudinal study of how established firms create breakthrough inventions[J]. Strategic management journal, 2001, 22(6/7):521-543. [36] 张军. 破坏性创新的特征分析[J]. 商场现代化, 2007(27):76. [37] 张栋. 面向2035年的突破性创新测度、识别与预测[J]. 中国科技论坛, 2020(8):11-14. [38] 庄子银, 贾红静, 肖春唤. 突破性创新研究进展[J]. 经济学动态, 2020(9):145-160. [39] DELLA MALVA A, KELCHTERMANS S, LETEN B, et al. Basic science as a prescription for breakthrough inventions in the pharmaceutical industry[J]. Journal of technology transfer, 2015, 40(4):670-695. [40] DESS G G P S D. Porter's generic strategies as determinants of strategic group membership and organizational performance[J]. Academy of management journal, 1984, 27(3):467-488. [41] DOSI G. Technological paradigms and technological trajectories:a suggested interpretation of the determinants and directions of technical change[J]. Research policy, 1982, 11(3):147-162. [42] 付玉秀, 张洪石. 突破性创新:概念界定与比较[J]. 数量经济技术经济研究, 2004(3):73-83. [43] ANDERSON P, TUSHMAN M L. Technological discontinuities and dominant designs:a cyclical model of technological change[J]. Administrative science quarterly, 1990, 35(4):604-633. [44] 李良德, 陈劲, 莫昕玮. 突破性创新管理模式研究[J]. 中外科技信息, 2001(11):38-41. [45] WANG X, WANG Z, HUANG Y, et al. Identifying R&D partners through subject-action-object semantic analysis in a problem & solution pattern[J]. Technology analysis & strategic management, 2017, 29(10):1167-1180. [46] 胡正银, 方曙. 专利文本技术挖掘研究进展综述[J]. 现代图书情报技术, 2014(6):62-70. [47] BLEI D M. Probabilistic topic models[J]. Communications of the ACM, 2012, 55(4):77-84. [48] DE BATTISTI F, FERRARA A, SALINI S. A decade of research in statistics:a topic model approach[J]. Scientometrics, 2015, 103(2):413-433. [49] WATTS R J, PORTER A L. Innovation forecasting[J]. Technological forecasting and social change, 1997, 56(1):25-47. [50] 赵蓉英, 郭凤娇, 赵月华. 科学计量学主流研究领域与热点前沿研究[J]. 图书情报工作, 2015, 59(2):66-74. [51] TORTORIELLO M, MCEVILY B, KRACKHARDT D. Being a catalyst of innovation:the role of knowledge diversity and network closure[J]. Organization science, 2015, 26(2):423-438. [52] 张金柱, 张晓林. 利用引用科学知识突变识别突破性创新[J]. 情报学报, 2014, 33(3):259-266. [53] 卢超, 侯海燕, DING Y, 等. 国外新兴研究话题发现研究综述[J]. 情报学报, 2019, 38(1):97-110. [54] GRIFFITHS T L, STEYVERS M. Finding scientific topics[J]. Proceedings of the National Academy of Sciences of the United States of America, 2004, 101:5228-5235. [55] WEI X, CROFT W B. LDA-based document models for ad hoc retrieval[C]//The 29th annual international ACM SIGIR conference on researchand development in information retrieval. New York:Association for Computing Machinery, 2006:178-185. [56] LEVY O, GOLDBERG Y, DAGAN I. Improving distributional similarity with lessons learned from word embeddings[J]. Transactions of the Association for Computational Linguistics, 2015, 3:211-225. [57] ZHANG Y, ZHANG G Q, ZHU D H, et al. Scientific evolutionary pathways:identifying and visualizing relationships for scientific topics[J]. Journal of the Association for Information Science and Technology, 2017, 68(8):1925-1939. [58] 沈君, 王续琨, 高继平, 等. 技术坐标视角下的主题分析——以第三代移动通信技术为例[J]. 情报学报, 2012, 31(6):603-611. [59] 姜鑫, 王德庄, 马海群. 社会网络分析方法在图书情报学科的应用研究[M]. 北京:知识产权出版社, 2019. [60] KONG X J, SHI Y J, YU S, et al. Academic social networks:modeling, analysis, mining and applications[J]. Journal of network and computer applications, 2019, 132:86-103. [61] 宋歌. 网络结构视域下的创新潜力指标研究[J]. 图书情报工作, 2014, 58(3):64-71. [62] 路甬祥. 学科交叉与交叉科学的意义[J]. 中国科学院院刊, 2005(1):58-60. [63] 商琦, 陈洪梅. 区块链技术创新态势专利情报实证[J]. 情报杂志, 2019, 38(4):23-28,59. [64] 闫凯伦. 面向区块链的交易传播算法和去中心化机器学习框架研究[D].桂林:广西师范大学, 2021. [65] 何帅, 黄襄念, 刘谦博, 等. DPoS区块链共识机制的改进研究[J]. 计算机应用研究, 2021, 38(12):3551-3557. [66] 朱书坤. 基于区块链和卷积神经网络的电动汽车能源交易方案设计与实现[D].武汉:华中师范大学, 2020. [67] NSTC. Critical and emerging technologies, CETs[R]. Washington, DC:National Science and Technology Council, 2022. [68] 武继刚, 刘同来, 李境一, 等. 移动边缘计算中的区块链技术研究进展[J]. 计算机工程, 2020, 46(8):1-13. [69] 何申, 陆璐, 李征, 等. 区块链+边缘计算技术白皮书[R]. 杭州:中国移动5G联合创新中心, 2020. [70] 王晨旭, 程加成, 桑新欣, 等. 区块链数据隐私保护:研究现状与展望[J]. 计算机研究与发展, 2021, 58(10):2099-2119. |