中国科技期刊研究 ›› 2024, Vol. 35 ›› Issue (9): 1309-1316. doi: 10.11946/cjstp.202404170380

• 评价与分析 • 上一篇    下一篇

科技期刊资源要素分析及匹配性指标体系构建

蒋东方1)()(), 方彤1), 伍军红2),*()(), 胡力2), 王楠2), 马艳3), 姜海4)   

  1. 1)国网能源研究院有限公司,北京市昌平区滨河大道18号 102209
    2)《中国学术期刊(光盘版)》电子杂志社有限公司,北京市海淀区西小口路66号 100192
    3)国网山东省电力公司电力科学研究院,山东省济南市市中区望岳路2000号 250003
    4)国网电力科学研究院有限公司,江苏省南京市江宁区诚信大道19号 211106
  • 收稿日期:2024-04-17 修回日期:2024-07-10 出版日期:2024-09-15 发布日期:2024-10-28
  • 通讯作者: *伍军红(ORCID:0000-0001-6607-6911),学士,编审,E-mail:wujh@cnki.net。
  • 作者简介:
    蒋东方(ORCID:0000-0002-9099-6918),博士,高级工程师,E-mail:
    方彤,硕士,高级工程师;
    胡力,硕士,编辑;
    王楠,硕士,编辑;
    马艳,博士,高级工程师;
    姜海,博士,研究员级高级工程师。
    作者贡献声明: 蒋东方:设计论文逻辑结构,撰写论文; 方 彤:指导研究实施; 伍军红:完善论文框架,修订、审核论文; 胡 力:完善指标体系,修订论文; 王 楠,马 艳,姜 海:整理、分析数据。
  • 基金资助:
    国家电网公司总部科技项目“公司科技期刊协同融合发展支撑新型电力系统关键技术和实现路径”(1400-202257245A-1-1-ZN)

Analysis of resource elements and matching index system construction of scientific journals

JIANG Dongfang1)()(), FANG Tong1), WU Junhong2),*()(), HU Li2), WANG Nan2), MA Yan3), JIANG Hai4)   

  1. 1) State Grid Energy Research Institute Co., Ltd., 18 Binhe Avenue, Changping District, Beijing 102209, China
    2) China Academic Journals (CD-ROM Version) Electronic Publishing House Co., Ltd., 66 Xixiaokou Road, Haidian District, Beijing 100192, China
    3) State Grid Shandong Electric Power Research Institute, 2000 Wangyue Road, Shizhong District, Jinan 250003, China
    4) State Grid Electric Power Research Institute, 19 Chengxin Avenue, Jiangning District, Nanjing 211106, China
  • Received:2024-04-17 Revised:2024-07-10 Online:2024-09-15 Published:2024-10-28

摘要:

【目的】从资源配置合理角度分析科技期刊的资源配置现状,提出科技期刊资源匹配性指标体系,并基于PDCA循环理论提出资源配置优化方法。【方法】综合PEST分析方法和价值链经典理论,将影响科技期刊发展的外部环境和内部环境因素相结合,采用文献调研、专家咨询等方法,对我国科技期刊资源要素进行归纳整理,分析构建科技期刊资源匹配性指标体系。【结果】从政治、经济、社会和技术等外部影响因素入手,综合考虑科技期刊自身发展的价值链要素,构建由5个一级指标、18个二级指标和55个三级指标构成的科技期刊资源匹配性指标体系。【结论】科技期刊以目标值为牵引,在运行机制、人才队伍、技术能力、内容及服务方面进行匹配性分析,按照PDCA循环不断改进,可找出制约科技期刊发展的内外部关键因素,优化科技期刊资源配置,促进科技期刊高质量发展。

关键词: 科技期刊, 办刊资源, 资源配置, 匹配性分析

Abstract:

[Purposes] This paper analyzes the current situation of resource allocation in scientific journals from the perspective of reasonable resource allocation, proposes the index system of resource matching in scientific journals, and suggests the method of resource matching optimization based on PDCA Cycle theory. [Methods] By integrating the PEST analysis method with classical value chain theory, combining external environmental factors and internal environmental elements that impact the development of scientific journals, and employing literature review and expert consultation, we summarized and organized the resource elements of scientific journals in China, and constructed an index system for resource matching in scientific journals. [Findings] Starting with external influences such as politics, economy, society, and technology, and comprehensively considering the value chain elements of scientific journals' development, a resource matching index system for scientific journals is constructed, consisting of 5 primary indicators, 18 secondary indicators, and 55 tertiary indicators. [Conclusions] With target values as a guide, scientific journals conduct matching analysis in terms of operational mechanisms, talent teams, technical capabilities, content, and services. Through continuous improvements following the PDCA Cycle, key internal and external factors constraining the development of scientific journals can be identified, optimizing the allocation of resources within scientific journals to promote their high-quality development.

Key words: Scientific journal, Journal resource, Resource allocation, Matching analysis