Agricultural Library and Information ›› 2019, Vol. 31 ›› Issue (6): 4-11.doi: 10.13998/j.cnki.issn1002-1248.2019.06.19-0535
• Special review • Next Articles
WANG Xuefeng, ZHANG Shuo, HAN Xiaotong, QIAO Yali
CLC Number:
| [1] 浦根祥,孙中峰,万劲波.技术预见的定义及其与技术预测的关系[J].科技导报,2002(07):15-18. [2] 张韵君,柳飞红.基于专利分析的技术预测概念模型[J].情报杂志,2014,33(03):22-27. [3] Slocum M S, Lundberg C O .Technology Forecasting: From Emotional to Empirical[J]. Creativity & Innovation Management, 2010, 10(2):139-152. [4] Porter A L, Ashton B, Clar G, et al.Technology futures analysis: Toward integration of the field and new methods[J]. Technological Forecasting and Social Change, 2004, 71(3):287-303. [5] Lajos N.Foresight as a Policy-making Tool[A]//Technology Foresight for Organizers[C]. Ankara, Turkey,2003:A1-A16. [6] Kim J H, Choi K S .Patent document categorization based on semantic structural information[J]. Information Processing & Management, 2007, 43(5):1200-1215. [7] Yoon B, Lee S.Applicability of Patent Information in Technological Forecasting: a Sector - specific Approach[J]. Journal of Intellectual Property Right,2012,17(1):37-45. [8] Chen D Z, Lin C P, Huang M H, et al.Technology Forecasting Via Published Patent Applications and Patent Grants[J]. Journal of Marine Science and Technology, 2012, 20(4):12. [9] 杨春旭. 可行性研究中的技术预测[J]. 技术经济, 1994(z2):44-45. [10] 杨省贵. 技术预测分析与技术战略管理[J]. 科技管理研究, 2008, 28(2):51-53. [11] 刘育新. 技术预测的过程与常用方法[J].中国软科学,1998(03):92-96. [12] Martin B R.Technology foresight: capturing the benefits from science-related technologies[J]. Research Evaluation, 1996, 6(2):158-168. [13] 王瑞祥, 穆荣平. 从技术预测到技术预见:理论与方法[J]. 世界科学, 2003(4):49-51. [14] 黄鲁成, 成雨, 吴菲菲,等. 技术预测与技术预见及其客观分析方法[J]. 创新与创业管理, 2013(1):119-132. [15] 叶继涛, 胡建绩. 技术预见与可持续经济发展[J]. 研究与发展管理, 2004, 16(4):58-62. [16] 杨春艳, 于明. 一种技术管理的有效方法——技术蓝图规划[J]. 工业工程与管理, 2005, 10(3):1-6. [17] 浦根祥, 孙中峰, 万劲波. 试论技术预见理论的基本假设[J]. 自然辩证法研究, 2002(7):40-43. [18] 陈超美(著), 陈悦(译), 侯剑华(译),等. CiteSpaceⅡ:科学文献中新趋势与新动态的识别与可视化[J]. 情报学报, 2009, 28(3):401-421. [19] Chen C.CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature[J]. Journal of the Association for Information Science & Technology, 2014, 57(3):359-377. [20] 刘玉琴, 刘晶, 张勇斌. 中国图书情报领域专利研究的计量分析[J]. 情报工程, 2018, 4(6):087-097. [21] Shin T .Using Delphi for a Long-Range Technology Forecasting, and Assessing Directions of Future R&D Activities The Korean Exercise[J]. Technological Forecasting & Social Change, 1998, 58(1-2):125-154. [22] 孟晓华, 崔志明. 高新技术及其产业技术预测研究--第一轮"德尔菲"调查[J]. 科学管理研究, 2004, 22(5):62-65. [23] 王知津,周鹏,韩正彪.基于情景分析法的企业危机发展预测[J].图书馆论坛,2010,30(06):299-302. [24] 尹润锋. 我国风电设备产业化关键技术预见研究[J]. 科技管理研究, 2013(8):108-111. [25] Milacic V R, Miler A .Artificial intelligence—morphological approach as a new technological forecasting technique[J]. International Journal of Production Research, 1986, 24(6):1409-1425. [26] Chakravarti A K, Vasanta B, Krishnan A S A , et al. Modified Delphi Methodology for Technology Forecasting Case Study of Electronics and Information Technology in India[J]. Technological Forecasting and Social Change, 1998, 58(1-2):155-165. [27] 崔志明, 万劲波, 孟晓华, et al.技术预见“市场德尔菲法”的特点及实施程序探讨[J]. 科学学与科学技术管理, 2004, 25(12):13-17. [28] 吴曙霞, 雷霆, 武士华. 基于生物国防的关键生物技术预见研究[J]. 中国软科学, 2008(9):14-19. [29] Kayal A A, Waters R C .An empirical evaluation of the technology cycle time indicator as a measure of the pace of technological progress in superconductor technology[J]. IEEE Transactions on Engineering Management, 1999, 46(2):127-131. [30] Daim T U, Rueda G, Martin H, et al.Forecasting emerging technologies: Use of bibliometrics and patent analysis[J]. Technological Forecasting and Social Change, 2006, 73(8):981-1012. [31] 张冬梅.专利分析在医药行业的技术预见能力检验——以检测和诊断艾滋病病毒(HIV)感染的技术为例[J].图书情报工作,2008(02):135-137+76. [32] 赵莉晓. 基于专利分析的RFID技术预测和专利战略研究——从技术生命周期角度[J]. 科学学与科学技术管理, 2012, 33(11):24-30. [33] 梁晓捷.中国钢铁产业技术预测研究——基于专利生命周期分析[J].北京理工大学学报(社会科学版),2013,15(06):16-19+26. [34] Morris S, Deyong C, Wu Z, et al.diva: a visualization system for exploring document databases for technology forecasting[J]. Computers & Industrial Engineering, 2002, 43(4):841-862. [35] Kim G, Bae J .A novel approach to forecast promising technology through patent analysis[J]. Technological Forecasting and Social Change, 2017, 117:228-237. [36] 孙涛涛, 金碧辉. 关键技术挖掘与企业技术竞争情报——以DVD激光头技术为例[J]. 图书情报工作, 2008, 52(5):129-132. [37] 黄鲁成, 李剑. 新产品产业化过程中关键技术的文献计量分析[J]. 科技进步与对策, 2010, 27(14):114-117. [38] 乔杨. 专利计量方法在技术预见中的应用——以国内冶金领域为例[J]. 情报杂志, 2013(4):34-37. [39] 侯剑华, 朱晓清. 基于专利的技术预测评价指标体系及其实证研究[J]. 图书情报工作, 2014, 58(18):77-82. [40] 王健美,刘志芳,戴爱兵.纯电动汽车产业关键技术演进分析——专利引文分析视角[J].图书情报工作,2014,58(14):21-27. [41] 侯剑华,郭爽.基于专利的技术熵分析法及其在新兴技术监测中的应用研究——以碳捕集技术为例[J].数据分析与知识发现,2017,1(01):55-63. [42] 宋超刘海滨. 一种面向技术预见研究的专利共引可视化方法[J]. 情报理论与实践, 2016, 39(1):113-117. [43] Zhu D, Porter A L .Automated extraction and visualization of information for technological intelligence and forecasting[J]. Technological Forecasting and Social Change, 2002, 69(5):495-506. [44] Yoon B, Park Y .A systematic approach for identifying technology opportunities: Keyword-based morphology analysis[J]. Technological Forecasting and Social Change, 2005, 72(2):145-160. [45] Joung J, Kim K.Monitoring emerging technologies for technology planning using technical keyword based analysis from patent data[J]. Technological Forecasting & Social Change, 2017, 114:281-292. [46] 董放, 刘宇飞, 周源. 基于LDA-SVM论文摘要多分类新兴技术预测[J]. 情报杂志, 2017(07):44-49+137. [47] 王效岳, 赵冬晓, 白如江. 基于专利文本数据挖掘的技术预测方法与实证研究——以纳米技术在能源领域应用为例[J]. 情报理论与实践, 2017(04):110-114. [48] 郭俊芳, 汪雪锋, 李乾瑞, et al.一种新型的技术形态识别方法——基于SAO语义挖掘方法[J]. 科学学研究, 2016, 34(1):13-21. [49] 杨超,朱东华,汪雪锋,朱福进,衡晓帆.专利技术主题分析:基于SAO结构的LDA主题模型方法[J].图书情报工作,2017,61(03):86-96. [50] 王兴旺, 董珏, 余婷婷, et al.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):74-79. [51] Turoff M.The Delphi method: techniques and applications.[J]. Journal of Marketing Research, 1976, 18(3):363-364. [52] Raford, Noah.Online foresight platforms: Evidence for their impact on scenario planning & strategic foresight[J]. Technological Forecasting and Social Change, 2015, 97:65-76. [53] Tang Y, Sun H, Yao Q, et al.The selection of key technologies by the silicon photovoltaic industry based on the Delphi method and AHP (analytic hierarchy process): Case study of China[J]. Energy, 2014, 75:474-482. [54] https://www.iarpa.gov/index.php/research-programs/fuse[EB/OL]. [55] https://www.iarpa.gov/index.php/research-programs/forest[EB/OL]. [56] 方伟,曹学伟,高晓巍.技术预测与技术预见:内涵、方法及实践[J].全球科技经济瞭望,2017,32(03):46-53. [57] Technology and innovation futures: UK growth opportunities for the 2020s[R]. the 2020s[R]. UK, 2010. [58] Technology and innovation futures: UK growth opportunities for the 2020s—2012[R]. the 2020s—2012[R]. UK, 2012. [59] Technology and innovation futures 2017[R]. futures 2017[R]. UK, 2017. [60] 王志玲, 蓝洁, 管泉. 国内技术预见研究综述[J]. 情报探索, 2015(8):50-55. [61] Bildosola I, Gonzalez P, Moral P .An approach for modelling and forecasting research activity related to an emerging technology[J]. Scientometrics, 2017, 112(1):557-572. [62] Radev D R, Amjad. Rediscovering ACL Discoveries Through the Lens of ACL Anthology Network Citing Sentences[C]// Proceedings of ACL 2012 Special Session on the 50th Anniversary of ACL. Association for Computational Linguistics, 2012 |
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