绩效管理:1976年至2022年的文献计量分析

A. Gorski, D. Dumitrașcu
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引用次数: 1

摘要

绩效管理是学术界和实践者都非常感兴趣的话题。随着时间的推移,关于这个复杂的主题已经写了很多,这导致了关于这个主题的大量学术文献的发展。本文是一项更全面的研究的一部分,旨在从文献计量学的角度探讨绩效管理这一主题。本文的目标是呈现和分析:(1)随着时间的推移的科学成果;(2)最多产和最有影响力的贡献者——作者、组织和国家;(3)利用最多的关键词。为了创建研究样本,我们于2022年7月通过查询Web of Science (WoS) Core Collection数据库发起了一项搜索,主题是:“绩效管理”。所有WoS类别都包括在内,除了英语语言过滤器之外没有应用任何限制。按照这一程序,检索了6730份文件,其中6580份为英文,然后保留在最终的研究样本中。使用VOSviewer、Excel和Bibliometrix/ Biblioshiny软件对1976-2022年时间跨度的数据进行处理、分析和可视化。提出并分析的主要成果:引文报告;排名前15位的WoS类别和发行商;源动态(期刊,书籍等);与三个分析单位(作者、组织和国家)和最相关的关键字(作者关键字和关键字加)共同撰写。概念结构:关键词共现网络分析、专题地图、理论演变、趋势、未来方向等也在研究范围内,但将在另一篇论文中提出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PERFORMANCE MANAGEMENT: A BIBLIOMETRIC ANALYSIS FROM 1976 TO 2022
Performance management is a topic of great interest both for academics and practitioners. Much has been written on this complex subject over time, which has led to the development of a considerable academic literature on the topic. The paper is part of a more comprehensive study that aims to explore the topic performance management from a bibliometric perspective. The objectives of the present paper are to present and analyze: (1) the scientific production over time; (2) the most prolific and influential contributors – authors, organizations, and countries; (3) the most utilized keywords. To create the research sample, a search was initiated in July 2022 by querying the Web of Science (WoS) Core Collection database, on the topic: "performance management". All WoS categories were included without applying any restrictions other than the English language filter. Following this procedure, 6,730 documents were retrieved, of which 6,580 in English which were then retained in the final research sample. Processing, analysis, and visualization of data related to the timespan of 1976-2022, was performed using VOSviewer, Excel and Bibliometrix/ Biblioshiny software. The main results presented and analyzed: citation report; top 15 WoS categories and publishers; source dynamics (journals, books, etc.); co-authorship with three units of analysis (authors, organizations, and countries), and the most relevant keywords (authors keywords and keywords plus). The conceptual structure: co-occurrence network analysis on keywords, thematic map, theoretical evolution, trends, future direction, etc. - are also included in the research, but will be presented in a separate paper.
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