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Research Article

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

, &
Pages 177-189 | Received 05 Aug 2021, Accepted 12 Feb 2022, Published online: 27 Feb 2022
 

ABSTRACT

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.

Acknowledgments

We are grateful to the editors and reviewers for their constructive comments and suggestions for further improving the manuscript. The authors are also thankful to the respondents for their volunteer participation in the survey of this study.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This research received no specific grant from any funding agency.

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