独创性
斯科普斯
内容分析
数据科学
资源(消歧)
分析
计算机科学
文献计量学
集合(抽象数据类型)
文件夹
系统回顾
知识管理
科学文献
管理科学
社会学
定性研究
社会科学
图书馆学
政治学
工程类
业务
梅德林
古生物学
程序设计语言
法学
生物
计算机网络
财务
作者
Yusra Qamar,Taab Ahmad Samad
出处
期刊:Personnel Review
[Emerald (MCB UP)]
日期:2021-02-02
卷期号:51 (1): 251-283
被引量:66
标识
DOI:10.1108/pr-04-2020-0247
摘要
Purpose This paper aims to identify the current research trends and set the future research agenda in the area of human resource (HR) analytics by an extensive review of the existing literature. The paper aims to capture state of the art and develop an exhaustive understanding of the theoretical foundations, concepts and recent developments in the area. Design/methodology/approach A portfolio of 125 articles collected from the Scopus database was systematically analyzed using a two-tier method. First, the evolution, current state of the literature and research clusters are identified using bibliometric techniques. Finally, using content analysis, the research clusters are studied to develop the future research agenda. Findings Based on the bibliometric analysis, network analysis and content analysis techniques, this study provides a comprehensive review of the existing literature. The study also highlights future research themes by identifying knowledge gaps based on content analysis of research clusters. Research limitations/implications The evolution and the current state of the HR analytics literature are presented. Some specific research questions are also provided to help future research. Originality/value This study enriches the literature of HR analytics by integrating bibliometric analysis and content analysis to develop a more systematic and exhaustive understanding of the research area. The findings of this study may assist fellow researchers in furthering their research in the identified research clusters.
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