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| Information Awareness for Decision Making in Strategic Emerging Industries |
| Ma Yumeng1,2, Wang Yanfei1 |
1.Department of Information Management, Peking University, Beijing 100871
2.National Science Library, Chinese Academy of Sciences, Beijing 100190 |
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Abstract The “information awareness” concept is used to guide the intelligence work of strategic emerging industries, which can help decision makers handle complex decision-making environments and grasp industrial policy windows. Considering decision making in strategic emerging industries, this study analyzes three types of information awareness elements: the needs of information users, content of information objects, and organization of information tasks. This study proposes an implementation framework of information awareness comprising clue discovery, method application, and information description components. The results provide a solution based on information awareness for incomplete information problems encountered by decision makers in strategic emerging industries and can serve as a reference for science and technology (S&T) information work based on information awareness.
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Received: 04 September 2022
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1 李晓华, 吕铁. 战略性新兴产业的特征与政策导向研究[J]. 宏观经济研究, 2010(9): 20-26.
2 程如烟, 孙浩林. 主要经济体支持颠覆性技术创新的政策措施研究[J]. 情报学报, 2021, 40(12): 1263-1270.
3 高峻峰. 政府政策对新兴技术演化的影响——以我国TD-SCDMA移动通讯技术的演化为例[J]. 中国软科学, 2010(2): 25-33.
4 王达. 日本面向未来的特定科技领域技术预见分析[J]. 今日科苑, 2020(5): 1-9, 15.
5 陈峰. 竞争情报理论方法与应用案例[M]. 北京: 科学技术文献出版社, 2014.
6 赵洁, 马铮, 王雪雅, 等. 面向战略性新兴产业的竞争情报服务: 需求分析与体系构建[J]. 情报理论与实践, 2014, 37(6): 22-27.
7 Calof J, Richards G, Smith J E. Foresight, competitive intelligence and business analytics—tools for making industrial programmes more efficient[J]. Foresight-Russia, 2015, 9(1): 68-81.
8 王克平, 郭小芳, 车尧. 大数据思维下战略性新兴产业风险识别与竞争情报预警研究[J]. 情报理论与实践, 2021, 44(5): 92-99.
9 贺俊, 吕铁. 战略性新兴产业: 从政策概念到理论问题[J]. 财贸经济, 2012(5): 106-113.
10 Tseng F M, Cheng A C, Peng Y N. Assessing market penetration combining scenario analysis, Delphi, and the technological substitution model: the case of the OLED TV market[J]. Technological Forecasting and Social Change, 2009, 76(7): 897-909.
11 赵志耘, 潘云涛, 苏成, 等. 颠覆性技术感知响应系统框架研究[J]. 情报学报, 2021, 40(12): 1245-1252.
12 王延飞, 赵柯然, 陈美华, 等. 情报感知的研究解析[J]. 情报理论与实践, 2018, 41(8): 1-4.
13 Fingar T. Intelligence and grand strategy[J]. Orbis, 2012, 56(1): 118-134.
14 赵柯然, 王延飞. 情报感知的方法探析[J]. 情报理论与实践, 2018, 41(8): 11-16.
15 McAfee A, Brynjolfsson E. Big data: the management revolution[J]. Harvard Business Review, 2012, 90(10): 60-66, 68, 128.
16 Chaari T, Laforest F, Celentano A. Design of context-aware applications based on Web services[R]. Università Ca’Foscari di Venezia Reference, 2004.
17 Endsley M R. Situation awareness global assessment technique (SAGAT)[C]// Proceedings of the IEEE 1988 National Aerospace and Electronics Conference. Piscataway: IEEE, 1988: 789-795.
18 吕铁, 贺俊. 技术经济范式协同转变与战略性新兴产业政策重构[J]. 学术月刊, 2013, 45(7): 78-89.
19 刘细文. 情报学范式变革与数据驱动型情报工作发展趋势[J]. 图书情报工作, 2021, 65(1): 4-11.
20 刘洪民, 杨艳东, 韩熠超. 战略性新兴产业阶段性演进特征及其政策动态调整: 一个文献述评[J]. 科技管理研究, 2018, 38(7): 142-147.
21 赵晓旻. 新兴技术向战略性新兴产业演化的模式与路径研究——以初创企业为例[D]. 成都: 电子科技大学, 2022.
22 陈小洪, 范保群. 战略性新兴产业政策的理论、实践与机制[M]. 北京: 中国社会科学出版社, 2019.
23 Rotolo D, Hicks D, Martin B R. What is an emerging technology?[J]. Research Policy, 2015, 44(10): 1827-1843.
24 汤长安, 张丽家, 吕殿青. 后发大国战略性新兴产业协同创新的政策驱动机制研究[M]. 北京: 经济科学出版社, 2020.
25 卢小宾, 杨冠灿, 徐硕, 等. 计量与演化视角下的新兴技术识别研究进展评述[J]. 情报学报, 2020, 39(6): 651-661.
26 Lundberg H, Andresen E. Cooperation among companies, universities and local government in a Swedish context[J]. Industrial Marketing Management, 2012, 41(3): 429-437.
27 刘景旭, 张德, 李虹. 竞争情报在商业模式分析及创新中的作用[J]. 图书与情报, 2007(4): 78-81, 84.
28 刘红玉, 彭福扬, 吴传胜. 战略性新兴产业的形成机理与成长路径[J]. 科技进步与对策, 2012, 29(11): 46-49.
29 张永安, 邬龙. 战略性新兴产业发展三阶段划分及评价研究: 基于技术效率的视角[J]. 科技管理研究, 2015, 35(19): 57-63.
30 Parker E, Gonzales D, Kochhar A K, et al. An assessment of the U.S. and Chinese industrial bases in quantum technology[R]. Santa Monica: RAND Corporation, 2022.
31 汪秀婷, 杜海波. 系统视角下战略性新兴产业创新系统架构与培育路径研究[J]. 科学管理研究, 2012, 30(1): 10-14.
32 Taalbi J. Evolution and structure of technological systems - an innovation output network[J]. Research Policy, 2020, 49(8): 104010.
33 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.
34 Arthur W B. The nature of technology: what it is and how it evolves[M]. New York: Simon and Schuster, 2009.
35 路风. 论产品开发平台[J]. 管理世界, 2018, 34(8): 106-129, 192.
36 霍朝光, 卢小宾, 杨冠灿, 等. 数据驱动的产业技术情报分析方法体系框架构建[J]. 图书情报知识, 2022, 39(1): 73-83.
37 贾军, 魏洁云. 新兴产业核心技术早期识别方法与应用研究[J]. 科学学研究, 2018, 36(7): 1206-1214.
38 王延飞, 杜元清. 情报感知论[M]. 北京: 科学技术文献出版社, 2021.
39 van Merkerk R O, van Lente H. Tracing emerging irreversibilities in emerging technologies: the case of nanotubes[J]. Technological Forecasting and Social Change, 2005, 72(9): 1094-1111.
40 周磊, 杨威, 余玲珑, 等. 美国对华技术出口管制的实体清单分析及其启示[J]. 情报杂志, 2020, 39(7): 23-28.
41 van der Valk T, Moors E H M, Meeus M T H. Conceptualizing patterns in the dynamics of emerging technologies: the case of biotechnology developments in the Netherlands[J]. Technovation, 2009, 29(4): 247-264.
42 乔永忠. 不同类型创新主体发明专利维持信息实证研究[J]. 科学学研究, 2011, 29(3): 442-447, 365.
43 陈光, 方新. 关于科技政策学方法论研究[J]. 科学学研究, 2014, 32(3): 321-326.
44 陈向东, 李蓓, 宋爽. 新兴技术发展与辨识——新兴经济体框架之下的发展视角[M]. 北京: 科学出版社, 2021.
45 赵新月, 赵筱媛. 基于高层次创新人才科研动向监测的前沿技术识别体系[J]. 情报学报, 2021, 40(12): 1279-1287.
46 伊惠芳, 刘细文, 龙艺璇. 技术创新全视角下技术机会发现研究进展[J]. 图书情报工作, 2021, 65(7): 132-142.
47 Murdick D. Foresight and understanding from scientific exposition (FUSE)[R/OL]. (2012-07-24) [2022-08-10]. https://dpcpsi.nih.gov/pdf/10_IARPA.pdf.
48 Guo H N, Weingart S, B?rner K. Mixed-indicators model for identifying emerging research areas[J]. Scientometrics, 2011, 89(1): 421-435.
49 Lee C Y, Kwon O, Kim M, et al. Early identification of emerging technologies: a machine learning approach using multiple patent indicators[J]. Technological Forecasting and Social Change, 2018, 127: 291-303.
50 Alexander J, Bache K, Chase J, et al. An exploratory study of interdisciplinarity and breakthrough ideas[C]// Proceedings of the Portland International Conference on Management of Engineering & Technology. Piscataway: IEEE, 2013: 2130-2140.
51 Karvonen M, K?ssi T. Patent citations as a tool for analysing the early stages of convergence[J]. Technological Forecasting and Social Change, 2013, 80(6): 1094-1107.
52 National Research Council (U.S.). Avoiding surprise in an era of global technology advances[M]. Washington, D.C.: National Academies Press, 2005.
53 Yoon J, Park H, Seo W, et al. Technology opportunity discovery (TOD) from existing technologies and products: a function-based TOD framework[J]. Technological Forecasting and Social Change, 2015, 100: 153-167.
54 Choi S, Yoon J, Kim K, et al. SAO network analysis of patents for technology trends identification: a case study of polymer electrolyte membrane technology in proton exchange membrane fuel cells[J]. Scientometrics, 2011, 88(3): 863-883.
55 乔治·戴, 保罗·休梅克. 沃顿论新兴技术管理[M]. 石莹, 等译. 北京: 华夏出版社, 2002.
56 曾大军, 霍红, 陈国青, 等. 政策信息学与政策智能研究中的关键科学问题[J]. 中国科学基金, 2021, 35(5): 719-725.
57 McKeown K, Daume H, Chaturvedi S, et al. Predicting the impact of scientific concepts using full-text features[J]. Journal of the Association for Information Science and Technology, 2016, 67(11): 2684-2696.
58 王延飞, 杜元清. 融汇情报刻画的情报感知研究路径[J]. 科技情报研究, 2020, 2(1): 1-11.
59 王宏广, 王革, 韦东远, 等. 高端科技智库建设要力争做到“九有”——兰德公司智库建设及其对我国科技智库建设的启示[J]. 科技中国, 2018(5): 1-4.
60 李品, 杨建林. 面向战略决策制定的情报流程[J]. 情报学报, 2021, 40(10): 1092-1107.
61 Science and Technology Policy Institute (STEPI)[EB/OL]. [2022-06-20]. https://www.stepi.re.kr/site/stepien/main.do.
62 张志强, 苏娜. 国际一流智库的研究方法创新[J]. 中国科学院院刊, 2017, 32(12): 1371-1378. |
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