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基于主成分和聚类分析的我国档案行业人员变动影响因素分析
Analysis of Factors Influencing Personnel Changes in Archival Industry of China Based on Principal Component and Cluster Analysis

DOI: 10.12677/ass.2025.147665, PP. 705-713

Keywords: 档案行业,人员变动,主成分分析,聚类分析,影响因素模型
Archival Industry
, Personnel Changes, Principal Component Analysis, Cluster Analysis, Influencing Factor Model

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Abstract:

本文运用统计学方法,对影响我国档案行业人员变动情况的因素进行了深入剖析,运用主成分分析、聚类分析等方法确定各影响因素与人员变动之间的定量关系并加以验证。结果表明,三十四岁及以下人员流入流出率、工资福利、档案学本科专业率、接待人次、馆藏量等因素在不同时期对我国档案行业人员的变动有着不同影响。本研究为各级各类档案馆(室)制定合理的人才政策和发展规划以及人才队伍培养提供了科学的依据和指导。
The influencing factors of personnel changes in China’s archival industry is analyzed by statistical methods in this paper. Principal component analysis, cluster analysis and other methods were used to determine the quantitative relationship between each influencing factor and personnel change and verify it. The results show that factors such as the inflow and outflow rate of personnel aged 34 and below, wages and benefits, the rate of undergraduate majors in archives, the number of receptions, and the volume of library collections have different impacts on the changes of personnel in our country’s archives industry in different periods. This study provides a scientific basis and guidance for the formulation of reasonable talent policies and development plans and the cultivation of talent teams in various archives (offices) at all levels.

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