arbiter
JournalsPricingAccount

Data-Driven Exploration of Emerging Trends in Sustainable Human Resource Management Using Advanced Analytics

Akshat Gaurav et al.

International Journal of Data Warehousing and Mining2025https://doi.org/10.4018/ijdwm.368722article
ABDC C
Weight
0.44

What the paper says

This paper uses advanced analytics to explore emerging trends in sustainable human resource management (HRM). Analyzing publications from 1991 to 2023 via the Scopus database identifies key trends and contributions in sustainable HRM research, including sustainability, green HRM, and corporate social responsibility. The findings highlight an increasing research volume, significant global contributions, and a growing academic interest in integrating sustainability into HR practices. Despite its reliance on the Scopus database, this review provides valuable insights for HR practitioners and organizations aiming to enhance sustainability through HR strategies. It also maps future research directions in sustainable HRM.

3 citations

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.4018/ijdwm.368722

Or copy a formatted citation

@article{akshat2025,
  title        = {{Data-Driven Exploration of Emerging Trends in Sustainable Human Resource Management Using Advanced Analytics}},
  author       = {Akshat Gaurav et al.},
  journal      = {International Journal of Data Warehousing and Mining},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.4018/ijdwm.368722},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Data-Driven Exploration of Emerging Trends in Sustainable Human Resource Management Using Advanced Analytics

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.44

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.32 × 0.4 = 0.13
M · momentum0.57 × 0.15 = 0.09
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.