Please wait a minute...
科技与出版  2025, Vol. 44 Issue (12): 58-65    
融媒之光
数据要素赋能出版企业价值创造的作用机理、现实困境与纾困路径
韩璐1,杨军2
1. 周口师范学院新闻与传媒学院,466001,河南周口
2. 陕西师范大学新闻与传播学院,710119,西安
The Mechanism, Practical Predicaments and Relief Pathways of Data Elements Empowering the Value Creation of Publishing Enterprises
HAN Lu1,YANG Jun2
1. School of Journalism and Communication, Shaanxi Normal University, 710119, Xi’ an, China
2. School of Journalism and Communications, Zhoukou Normal University, 466001, Zhoukou, China
全文: HTML    PDF(1740 KB)  
输出: BibTeX | EndNote (RIS)      
摘要: 

数据要素是数智时代出版企业数字化转型及融合发展的基础要素,它凭借所具有的创新性、协作性、预测性等特性赋能出版企业创造社会价值、经济价值和创新价值。数据要素赋能出版企业价值创造的作用机理,在于其所具有的创新机理、协作机理和预测机理的发挥。当前我国数据要素赋能出版企业价值创造存在的现实困境,不同程度地体现在数据要素价值创造的本体、主体以及环境等层面。纾解这一困境需要从出版数据要素实现标准化、均衡采集及有效利用,出版企业树立数据观念、建立出版数据系统及提升价值转化水平,以及完善数据安全制度保障、增加基础设施投入与增强数据技术能力三方面入手,进而提升出版企业价值创造水平,实现出版企业高质量发展。

关键词 出版数据要素出版企业价值创造数字出版    
Abstract

Data elements are the data resources that people invest in the production of goods or services, and they create value in various business scenarios through aggregation, integration, and collaboration. Since China first explicitly listed data as a production factor in 2019, highlighting its function and status as a new type of production factor, it has become a consensus that data elements are an important component of new quality productivity in the digital intelligence era and a fundamental resource for creating value. The value creation of publishing enterprises refers to the process by which enterprises create economic and social value by providing knowledge products or services, and it is the core driving force for the existence and development of enterprises. Data elements are closely related to modern enterprises and are an important resource driving the value creation. As data-intensive enterprises, the role of data in publishing companies is becoming increasingly important. Specifically, data elements are the fundamental elements for the digital transformation and integrated development of publishing enterprises in the digital intelligence era. They empower publishing enterprises to create social, economic, and innovative value with their unique characteristics. The mechanism by which data elements empower the value creation of publishing enterprises lies in the exertion of their innovation mechanism, collaboration mechanism and predictive mechanism. However, current practical predicament of data elements empowering the value creation of publishing enterprises in China is reflected to varying degrees in the ontological, subject and environmental aspects of the value creation of data elements. To address these challenges, efforts should be made in three aspects: standardizing and balancing the collection and effective utilization of publishing data elements; establishing a data concept among publishing enterprises, setting up a publishing data system and enhancing the level of value transformation, as well as improving data security system guarantees, increasing infrastructure investment and strengthening data technology capabilities. These measures will further enhance the value creation capacity of publishing enterprises. In conclusion, the integration of data elements into the deep integration of publishing not only reshapes the production processes of publishing enterprises and enhances production efficiency, but also provides a powerful data-driven force for the creation of publishing value. Publishing data elements are leading the publishing industry towards a brand-new stage of digital transformation and deep integration with unprecedented power, thus making the collection, integration and mining of publishing data elements a new paradigm and new driving force for the creation of publishing value. Therefore, delving deeply into the underlying logic of how data elements empower the value creation of publishing enterprises, and recognizing the practical challenges and relief pathways associated with the role and value of data elements in the knowledge production, knowledge services, and business management activities of publishing enterprises, undoubtedly becomes an urgent issue that publishing enterprises need to solve to develop new-quality productive forces and achieve high-quality development.

Key wordspublishing data elements    publishing enterprises    value creation    digital publishing
出版日期: 2026-01-09

引用本文:

韩璐,杨军. 数据要素赋能出版企业价值创造的作用机理、现实困境与纾困路径[J]. 科技与出版, 2025, 44(12): 58-65.
HAN Lu,YANG Jun. The Mechanism, Practical Predicaments and Relief Pathways of Data Elements Empowering the Value Creation of Publishing Enterprises. Science-Technology & Publication, 2025, 44(12): 58-65.

链接本文:

http://kjycb.tsinghuajournals.com/CN/      或      http://kjycb.tsinghuajournals.com/CN/Y2025/V44/I12/58

1 杨军, 陶安涛. 数智时代出版数据要素价值问题探究[J]. 中国编辑, 2024 (9): 28- 33.
2 张新新, 游恒飞. 出版数据要素的概念、特征与作用机制[J]. 数字出版研究, 2024, 3 (4): 2- 10.
3 辛谏, 李翠玲. 数据要素×出版:出版数据要素乘数效应分析:基于出版供给侧的视角[J]. 数字出版研究, 2024, 3 (4): 49- 57.
4 辛谏, 黄馨悦, 孙谨, 等. 出版数据产品化:出版数据要素价值释放的关键[J]. 数字出版研究, 2024, 3 (4): 30- 37.
5 焦勇, 齐梅霞. 数据要素如何驱动企业价值创造:基于融通创新视角[J]. 经济发展研究, 2024 (2): 63- 76.
6 孙新波, 苏钟海. 数据赋能驱动制造业企业实现敏捷制造案例研究[J]. 管理科学, 2018, 31 (5): 117- 130.
7 何苏燕. 数据生产要素化及其价值创造机制研究[J]. 企业经济, 2023, 42 (1): 79- 87.
8 靖继鹏, 张向先. 信息生态理论与应用[M]. 北京: 科学出版社, 2018.
9 丁波涛. 基于信息生态理论的数据要素市场研究[J]. 情报理论与实践, 2022, 45 (12): 36-41,59.
10 耿瑞利, 孙瑜, 杨瑞仙, 等. 信息生态视角下数据要素价值化驱动因素及发展路径研究[J]. 现代情报, 2025, 45 (3): 65-76,102.
11 丛挺, 奚心远. 数据要素驱动出版服务创新研究:基于《“数据要素×”三年行动计划(2024—2026年)》分析[J]. 中国编辑, 2024 (8): 82- 88.
12 黄先蓉, 李若男. 构建出版行业数据服务体系提升出版行业数智化水平[J]. 出版与印刷, 2022 (3): 1- 9.
13 欧阳日辉. 数据基础设施保障数据安全及高效流通[J]. 人民论坛, 2024 (7): 70- 75.
14 周青. 内容+技术:催生数字出版新模式、新业态[J]. 今日海南, 2024 (9): 34- 35.
15 卫敏, 马嵩, 崔璐. 出版企业文化数据体系建设初探:以时代出版传媒股份有限公司为例[J]. 出版广角, 2024 (6): 48- 52.
16 章红雨. 数据正成为出版社市场竞争力要素[N]. 中国新闻出版广电报,2023-09-28(3).
17 张承兵. 专业出版社知识服务平台的建设运营探索:以人民法院出版社“法信”平台为视角[J]. 科技与出版, 2018 (12): 99- 103.
18 张懿. 国内首个出版业数据要素流通专业平台在沪揭牌[EB/OL]. [2025-07-19]. https://c.m.163.com/news/a/K4RGV86M055040N3.html.
19 孙静, 王建冬. 多级市场体系下形成数据要素资源化、资产化、资本化政策闭环的总体设想[J]. 电子政务, 2024 (2): 12- 20.
20 马中红, 胡良益. 数据基础设施:作为纵深维度的隐蔽可供性研究[J]. 国际新闻界, 2022, 44 (8): 6- 27.
[1] 郑恩. 数字版权价值评估的多维动态路径研究[J]. 科技与出版, 2025, 44(8): 16-27.
[2] 吕晓峰,孟祥晴,詹洪春. 人工智能时代出版业知识服务的伦理挑战、价值重构与实践进路[J]. 科技与出版, 2025, 44(8): 47-55.
[3] 陈强,张钢花. 适老化数字出版的现实与未来:基于数字可供性视角[J]. 科技与出版, 2025, 44(6): 73-79.
[4] 范文婷. 平台生态系统视角下多边数字阅读平台价值共创与多元主体协同创新路径优化[J]. 科技与出版, 2025, 44(4): 94-102.
[5] 毛文思,王飚. 2024年中国数字出版发展态势盘点与2025年趋势展望[J]. 科技与出版, 2025, 44(3): 14-26.
[6] 常昕. 联结知识与读者:阅读推广视角下出版企业社会责任考察[J]. 科技与出版, 2025, 44(2): 26-36.
[7] 马文欢,王梓薇,陈磊,王纪坤,曹凯. AIGC赋能视阈下数字出版产业链韧性的评价模型研究[J]. 科技与出版, 2025, 44(12): 36-46.
[8] 邱乾,张森. 超越“融合之困”:数智技术赋能儿童出版的现实困境、生发逻辑及其矫治之道[J]. 科技与出版, 2025, 44(1): 89-100.
[9] 张新新,陈少志. 加快建设数字出版三大体系,切实推动数字出版理论创新——数字出版“十四五”学术热点分析与“十五五”重要议题展望[J]. 科技与出版, 2025, 44(1): 61-76.
[10] 庞沁文,庞风. 出版企业商业模式构建研究[J]. 科技与出版, 2024, 43(9): 46-53.
[11] 马文欢,王梓薇,黄超兰. AIGC影响数字出版产业链韧性机制模型研究*[J]. 科技与出版, 2024, 43(9): 54-62.
[12] 傅爱雯,王跃,邵波. 数字出版融合生态:体系构建与业务组织[J]. 科技与出版, 2024, 43(9): 63-70.
[13] 宋吉述,杨阳. 2023—2024年出版业融合发展现状及趋势研判[J]. 科技与出版, 2024, 43(6): 26-37.
[14] 戚天姣,吴怡频. 英美知名出版企业数字化发展策略*[J]. 科技与出版, 2024, 43(5): 76-83.
[15] 张立,王扬,李梦竹,孙晓翠. 对近年来数字出版评优产品的追踪测评及分析(Ⅵ)[J]. 科技与出版, 2024, 43(4): 48-63.