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Journal of Library and Information Science in Agriculture ›› 2024, Vol. 36 ›› Issue (2): 4-14.doi: 10.13998/j.cnki.issn1002-1248.24-0171

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Bidirectional Empowerment Between Knowledge Service and New Quality Productive Forces Theoretical Interpretation and Practical Path

ZHAO Ruixue1,2, LI Tian1,2, GUAN Zhihao1,2, XIAN Guojian1,2, KOU Yuantao1,2, SUN Tan3,4,*   

  1. 1. Agricultural Information Institute of CAAS, Beijing 100081;
    2. Key Laboratory of Knowledge Mining and Knowledge Services in Agricultural Converging Publishing, National Press and Publication Administration, Beijing 100081;
    3. Chinese Academy of Agricultural Sciences, Beijing 100081;
    4. Key Laboratory of Agricultural Big Data, Ministry of Agriculture and Rural Affairs, Beijing 100081
  • Received:2024-01-03 Online:2024-02-05 Published:2024-04-30

Abstract: [Purpose/Significance] New quality productive forces is the latest pattern of productivity development under the background of data-driven intelligence. To explore the mechanism and practical way of bidirectional empowerment of knowledge service and new quality productive forces has important theoretical and practical significance for giving full play to the effectiveness of new quality of data elements, new power of digital intelligence technology and new application of intelligent service, so as to promote the cultivation of new quality productive forces and improve knowledge service. [Method/Process] Based on the summary of the development process of knowledge service and the new interpretation from the perspective of new quality productive forces, this study analyzes the internal relationship and external manifestations of the bidirectional empowerment of knowledge services and new quality productive forces, constructs the bidirectional empowerment mechanism of knowledge services and new quality productive forces, and proposes the bidirectional empowerment path. [Results/Conclusions] "Factor reorganization, scientific and technological innovation, and quality service" has become the internal relationship between knowledge service and new quality productive forces. Data factor as the core production factor, digital intelligence technology as the key production technology, and intelligence-driven new business forms and new models as the common carrier, which is an important basis for intelligent knowledge service and new quality productive forces bidirectional empowerment mechanism. Intelligent knowledge service cultivates the new quality productive forces through three important ways: accelerating scientific and technological innovation, opening up new ways and creating new business forms. New quality productive forces drives the development of intelligent knowledge service and improves the service by solving the resource dilemma, technology dilemma and talent dilemma, and creating new competitive advantages. This is an important manifestation of the bidirectional empowerment mechanism of new quality productive forces and intelligent knowledge service. After clarifying the empowerment basis and the performance of the bidirectional empowerment mechanism, this study proposes that the two kinds of empowerment should be realized from the following four aspects: a) Taking the market demand as the guide by mining new value and responding to new demand, and grasping the new quality growth engine; b) Taking data elements as the center, the compacting intelligent driving base is realized by building the data element empowerment system and improving the standardization of element utilization; c) Taking technological innovation as the key way by releasing the potential of key elements and creating fusion application scenarios to consolidate the foundation of fusion application; d) Starting from the application scenario as the starting point, the bidirectional empowerment mechanism is put into practice in various fields.

Key words: new quality productive forces, intelligent knowledge service, empowerment mechanism, data-driven intelligent technology

CLC Number: 

  • G250
[1] 米加宁, 李大宇, 董昌其. 算力驱动的新质生产力: 本质特征、基础逻辑与国家治理现代化[J]. 公共管理学报, 2024, 21(2): 1-14, 170.
MI J N, LI D Y, DONG C Q.New quality productive forces driven by computational power: Essential characteristics, foundational logic and modernization of national governance[J]. Journal of public management, 2024, 21(2): 1-14, 170.
[2] 习近平主持召开新时代推动东北全面振兴座谈会强调牢牢把握东北的重要使命奋力谱写东北全面振兴新篇章[N]. 人民日报, 2023-09-10(1).
[3] 姜朝晖, 金紫薇. 教育赋能新质生产力: 理论逻辑与实践路径[J]. 重庆高教研究, 2024, 12(1): 108-117.
JIANG Z H, JIN Z W.Empowering new qualitative productivity through education: Theoretical logic and practical path[J]. Chongqing higher education research, 2024, 12(1): 108-117.
[4] 张文武, 张为付. 加快形成新质生产力: 理论逻辑、主体架构与实现路径[J]. 南京社会科学, 2024(1): 56-64.
ZHANG W W, ZHANG W F.Accelerating the formation of new quality productivity: Theoretical logic, subject structure, and implementation path[J]. Nanjing journal of social sciences, 2024(1): 56-64.
[5] 蒋永穆, 乔张媛. 新质生产力: 逻辑、内涵及路径[J]. 社会科学研究, 2024(1): 10-18, 211.
JIANG Y M, QIAO Z Y.New quality productivity: Logic, connotation and path[J]. Social science research, 2024(1): 10-18, 211.
[6] 石建勋, 徐玲. 加快形成新质生产力的重大战略意义及实现路径研究[J]. 财经问题研究, 2024(1): 3-12.
SHI J X, XU L.Major strategic significance and implementation path of accelerating the formation of new quality productivity[J]. Research on financial and economic issues, 2024(1): 3-12.
[7] 左其亭, 秦西, 马军霞. 水利新质生产力: 内涵解读、理论框架与实施路径[J]. 华北水利水电大学学报(自然科学版), 2024, 45(3): 1-8.
ZUO Q T, QIN X, MA J X.New quality productivity of water conservancy: Connotation interpretation, theoretical framework and implementation path[J]. Journal of North China university of water resources and electric power (natural science edition), 2024, 45(3): 1-8.
[8] 余东华, 马路萌. 新质生产力与新型工业化: 理论阐释和互动路径[J]. 天津社会科学, 2023, 14(6): 90-102.
YU D H, MA L M.New quality productivity and new industrialization: Theoretical explanation and interactive path[J]. Tianjin social sciences, 2023, 14(6): 90-102.
[9] 曾建勋. 助力新质生产力的加快形成[J]. 农业图书情报学报, 2023, 35(9): 100-101.
ZENG J X.Help accelerate the formation of new quality productivity[J]. Journal of library and information science in agriculture, 2023, 35(9): 100-101.
[10] 新华社. 习近平在中共中央政治局第十一次集体学习时强调: 加快发展新质生产力扎实推进高质量发展[EB/OL]. [2024-02-01].https://www.gov.cn/yaowen/liebiao/202402/content_6929446.htm.
[11] 蒲清平, 黄媛媛. 习近平总书记关于新质生产力重要论述的生成逻辑、理论创新与时代价值[J]. 西南大学学报(社会科学版), 2023, 49(6): 1-11.
PU Q P, HUANG Y Y.Generation logic, theoretical innovation and time value of general secretary Xi Jinping's important exposition on new quality productivity[J]. Journal of southwest university (social sciences edition), 2023, 49(6): 1-11.
[12] 张志鑫, 郑晓明, 钱晨. “四链”融合赋能新质生产力: 内在逻辑和实践路径[J/OL]. 山东大学学报(哲学社会科学版), 2024: 1-12. https://kns.cnki.net/kcms/detail/37.1100.C.20240320.0940.002.html.
ZHANG Z X, ZHENG X M, QIAN C. The integration of "four chains" and the empowerment of new quality productivity: Internal logic and practical path[J/OL]. Journal of Shandong university (philosophy and social sciences), 2024: 1-12. https://kns.cnki.net/kcms/detail/37.1100.C.20240320.0940.002.html.
[13] 陈丽, 逯行, 郑勤华. “互联网+教育”的知识观: 知识回归与知识进化[J]. 中国远程教育, 2019(7): 10-18, 92.
CHEN L, LU N, ZHENG Q H.Conceptualizing knowledge in "Internet + education Internet education": The nature of knowledge: And knowledge evolution[J]. Distance education in China, 2019(7): 10-18, 92.
[14] 孙坦, 张智雄, 周力虹, 等. 人工智能驱动的第五科研范式(AI4S)变革与观察[J]. 农业图书情报学报, 2023, 35(10): 4-32.
SUN T, ZHANG Z X, ZHOU L H, et al.The transformation and observations of AI for science(AI4S) driven by artificial intelligence[J]. Journal of library and information science in agriculture, 2023, 35(10): 4-32.
[15] 王学昭, 王燕鹏, 赵萍, 等. 场景化智慧数据驱动的情报研究模式: 概念、技术框架和实验验证[J]. 数据分析与知识发现, 2023, 7(5): 1-9.
WANG X Z, WANG Y P, ZHAO P, et al.Scenarized intelligent data-driven research model: Concept, technical framework, and experimental verification[J]. Data analysis and knowledge discovery, 2023, 7(5): 1-9.
[16] 赵瑞雪, 黄永文, 马玮璐, 等. ChatGPT对图书馆智能知识服务的启示与思考[J]. 农业图书情报学报, 2023, 35(1): 29-38.
ZHAO R X, HUANG Y W, MA W L, et al.Insights and reflections of the impact of ChatGPT on intelligent knowledge services in libraries[J]. Journal of library and information science in agriculture, 2023, 35(1): 29-38.
[17] 丛挺, 王媛, 高远卓. 面向开放科学的科技期刊出版服务能力评价研究——出版服务能力内涵与构成要素[J]. 出版广角, 2024(2): 47-55.
CONG T, WANG Y, GAO Y Z.Research on evaluation of publishing service capability of sci-tech journals facing open science - Connotation and elements of publishing service capability[J]. View on publishing, 2024(2): 47-55.
[18] 中央经济工作会议在北京举行——习近平发表重要讲话李强作总结讲话赵乐际王沪宁蔡奇丁薛祥李希出席会议[N]. 人民日报, 2023-12-13(1).
[19] 颜世健, 喻国明. 智能方法作为“第五范式”: 人工智能时代科研范式的“新物种”[J]. 学术探索, 2024(1): 34-43.
YAN S J, YU G M.AI-based research methods as the "fifth paradigm": A "new species" of scientific paradigms in the era of artificial intelligence[J]. Academic exploration, 2024(1): 34-43.
[20] 元战略. 以颠覆民性技术创新培育发展新质生产力[EB/OL]. [2024-03-28].https://mp.weixin.qq.com/s/ECXLws_TYpNzQ9JIQRipIw.
[21] 曹立. 发展新质生产力的辩证法[EB/OL]. [2024-03-31].https://mp.weixin.qq.com/s/7gnLE64nNwi604QCrTuzEw.
[22] 郝人缘, 吴雪萍. 第四次工业革命背景下的职业教育改革[J]. 职业技术教育, 2018, 39(28): 12-16.
HAO R Y, WU X P.Reform of vocational education in the context of the fourth industrial revolution[J]. Vocational and technical education, 2018, 39(28): 12-16.
[23] 黄再胜. AI大模型赋能新质生产力加快发展: 内在机理、现实障碍与实践进路[J/OL].改革与战略, 2024: 1-12. http://kns.cnki.net/kcms/detail/45.1006.C.20240306.0754.004.html.
[24] 蔡丹丹, 宋歌笙, 刘炜. 以AIGC创新图书馆知识服务[J]. 图书馆杂志, 2023, 42(12): 36-44.
CAI D D, SONG G S, LIU W.AIGC and library knowledge services[J]. Library journal, 2023, 42(12): 36-44.
[25] 张庆来, 苏云, 张军. 基于通用人工智能的图书馆知识服务研究[J]. 图书与情报, 2023(6): 70-74.
ZHANG Q L, SU Y, ZHANG J.Research on library knowledge services based on artificial general intelligence[J]. Library & information, 2023(6): 70-74.
[26] 肖军华. 数智范式——人工智能加速科学发现新范式[J]. 防化研究, 2023, 2(6): 1-12.
XIAO J H.Data intelligence-driven paradigm - A new paradigm of artificial intelligence accelerating scientific discovery[J]. CBRN defense, 2023, 2(6): 1-12.
[27] 王飞跃, 缪青海. 人工智能驱动的科学研究新范式: 从AI4S到智能科学[J]. 中国科学院院刊, 2023, 38(4): 536-540.
WANG F Y, MIAO Q H.Novel paradigm for AI-driven scientific research: From AI4S to intelligent science[J]. Bulletin of Chinese academy of sciences, 2023, 38(4): 536-540.
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