Journal of Artificial Intelligence and Digital Business
Vol. 5 No. 2 (2026): Mei-Juli

Green Human Resource Management and Environmental Sustainability: A Bibliometric Analysis and Systematic Literature Review

Mohamad Trio Febriyantoro (Universitas Ciputra)
Wahyudi Henky Soeparto (Universitas Ciputra)



Article Info

Publish Date
02 Jun 2026

Abstract

The growing urgency of environmental sustainability has positioned Green Human Resource Management (GHRM) as a pivotal research domain in organizational and management studies. This study presents a comprehensive bibliometric analysis and systematic literature review (SLR) of GHRM research published in Scopus-indexed journals, drawing upon a corpus of 50 peer-reviewed articles spanning 2016 to 2025. Using bibliometric indicators—including publication trends, citation analysis, keyword co-occurrence, and authorship patterns—alongside a thematic synthesis of study findings, this paper maps the intellectual landscape of GHRM scholarship. The analysis reveals an accelerating growth in GHRM publications post-2020, driven by increasing regulatory pressures and the global sustainability agenda. Four dominant research clusters are identified: (1) GHRM practices and employee green behavior; (2) GHRM and organizational environmental performance; (3) mediating and moderating mechanisms in GHRM–outcome relationships; and (4) sector-specific and contextual applications of GHRM. The AMO (Ability–Motivation–Opportunity) framework dominates theoretical discourse, while PLS-SEM predominates methodologically. Research concentrates in manufacturing and hospitality sectors in developing economies, particularly Asia and the Middle East. Critical gaps include insufficient longitudinal designs, limited cross-cultural analyses, and the underexplored intersection of GHRM with digital transformation. This paper contributes a comprehensive research roadmap for future GHRM scholarship and offers actionable implications for HR practitioners integrating sustainability into human capital strategies.

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Journal Info

Abbrev

RIGGS

Publisher

Subject

Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering

Description

Journal of Artificial Intelligence and Digital Business (RIGGS) is published by the Department of Digital Business, Universitas Pahlawan Tuanku Tambusai in helping academics, researchers, and practitioners to disseminate their research results. RIGGS is a blind peer-reviewed journal dedicated to ...