The moderating effect of big data analytics on green human resource management and organizational performance

被引:9
|
作者
Mahmood, Qurat-Ul-Ain [1 ]
Ahmed, Riaz [1 ]
Philbin, Simon P. [2 ]
机构
[1] Bahria Univ, Bahria Business Sch, Islamabad, Pakistan
[2] London South Bank Univ, Nathu Puri Inst Engn & Enterprise, London, England
关键词
Green human resource management practices; big data analytics; organizational performance; SUPPLY CHAIN; PREDICTIVE ANALYTICS; FIRM PERFORMANCE; BEHAVIOR; CHALLENGES; INNOVATION; WORKPLACE; DIFFUSION; INDUSTRY; CULTURE;
D O I
10.1080/17509653.2022.2043197
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
Green human resource management (GHRM) practices and big data analytics are becoming critical to enhance organizational performance. However, limited research has been conducted on GHRM practices and organizational performance in the presence of big data analytics. Therefore, this study aims to investigate the moderating effect of big data analytics on the relationship between GHRM practices and organizational performance. This explanatory study adopted a survey instrument to collect cross-sectional data from 189 respondents working in different organizations in Pakistan. The findings reveal a significant and positive effect of all GHRM practices on organizational performance. In addition, a substantial increase in the R2 models for all three dimensions of big data analytics as a moderator was found on the relationship between GHRM practices and organizational performance. This empirical study significantly enhances our understanding of how GHRM practices substantially influence organizational performance along with the use of big data analytics to maximize the benefits of GHRM and improve organizational efficiency. The study highlights the need to further explore green activities and behaviors for enhancing business value and competitive advantage. In addition, adoption of big data analytics supports faster decision-making, saves time and underpins efficient resource utilization to achieve operational and strategic efficiencies.
引用
收藏
页码:177 / 189
页数:13
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