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作 者:蒋东方 方彤 伍军红 胡力 王楠 马艳 姜海 JIANG Dongfang;FANG Tong;WU Junhong;HU Li;WANG Nan;MA Yan;JIANG Hai(State Grid Energy Research Institute Co.,Ltd.,Beijing 102209,China;China Academic Journals(CD-ROM Version)Electronic Publishing House Co.,Ltd.,Beijing 100192,China;State Grid Shandong Electric Power Research Institute,Jinan 250003,China;State Grid Electric Power Research Institute,Nanjing 211106,China)
机构地区:[1]国网能源研究院有限公司,北京市102209 [2]《中国学术期刊(光盘版)》电子杂志社有限公司,北京市100192 [3]国网山东省电力公司电力科学研究院,山东省济南市250003 [4]国网电力科学研究院有限公司,江苏省南京市211106
出 处:《中国科技期刊研究》2024年第9期1309-1316,共8页Chinese Journal of Scientific and Technical Periodicals
基 金: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)。
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。[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.
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