人力资源分析综述:可视化和文献计量分析方法

IF 2.1 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE
Meenal Arora, Anshika Prakash, Saurav Dixit, A. Mittal, Swati Singh
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引用次数: 2

摘要

目的本研究旨在分析现有的人力资源分析文献,并在同样的背景下强调未来的研究议程和趋势。它涉及评估地区分布,识别关键作者、出版物、期刊和关键词出现,同时检查当前文献。设计/方法/方法通过VOSviewer使用文献计量分析对Scopus数据库导出的127篇文章进行了系统分析,包括所研究文献的性能分析和科学制图。发现这项研究假设了作者的出版物数量和引用次数之间的不一致性。多年来,合作研究有所增加。《人力资源管理评论》被认为是最具影响力、引用次数最多的期刊。最多的出版物来自亚洲国家。研究表明,被引用最多的作者大多是被引用最多文献的第一作者。实际含义这项研究可能对研究人员和人力资源从业者都有益,因为它确定了人力资源分析领域的研究差距和研究需求。此外,这项研究认识到人力资源分析文献中的模式有助于研究人员更好地理解主题领域。原创性/价值本研究结合了文献计量分析来分析人力资源分析文献,以建立对研究领域更详尽、更系统的理解。这项研究有助于现有的文献,并在未来的研究中为其他研究人员提供帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A critical review of HR analytics: visualization and bibliometric analysis approach
Purpose This study aims to analyze the existing literature in human resource analytics and highlights the future research agenda and trends in the same context. It deals with evaluating regional distribution, identifying key authors, publications, journals and keyword occurrences while examining current literature. Design/methodology/approach A total of 127 articles exported from the Scopus database were systematically analyzed using bibliometric analysis through VOSviewer, including performance analysis and science mapping of the literature studied. Findings This research postulates the inconsistency between the number of publications and citations received by an author. There was an increase in collaborative research over the years. Human Resource Management Review was regarded as the most influential journal with maximum citation. Maximum publications came from Asian countries. The study revealed that the author with maximum citation were mostly the first authors of the most cited documents. Practical implications This research may be beneficial for both researchers and human resource (HR) practitioners because it identifies the research gaps and research needs in the HR analytics domain. Besides, this study recognizes the patterns in HR analytics literature that helps researchers better understand the subject area. Originality/value This research incorporates bibliometric analysis for analyzing HR analytics literature to establish a more exhaustive and systematic understanding of the research area. This research contributes to the existing body of literature and assists fellow researchers in future studies.
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来源期刊
Information Discovery and Delivery
Information Discovery and Delivery INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
5.40
自引率
4.80%
发文量
21
期刊介绍: Information Discovery and Delivery covers information discovery and access for digital information researchers. This includes educators, knowledge professionals in education and cultural organisations, knowledge managers in media, health care and government, as well as librarians. The journal publishes research and practice which explores the digital information supply chain ie transport, flows, tracking, exchange and sharing, including within and between libraries. It is also interested in digital information capture, packaging and storage by ‘collectors’ of all kinds. Information is widely defined, including but not limited to: Records, Documents, Learning objects, Visual and sound files, Data and metadata and , User-generated content.
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