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

Green human resource management (GHRM) practices and big data analytics are becoming critical to enhance organizational performance through improved management and utilization of scarce resources. However, limited research has thus far been carried out on GHRM practices and organizational performance in the presence of big data analytics. Therefore, the objective of this study is to investigate the moderating effect of big data analytics on the relationship between GHRM practices and organizational performance. This quantitative and 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 R square models for all three dimensions of big data analytics as a moderator was found on the relationship between GHRM practices and organizational performance. The 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