Journal Article

Recent trends of green human resource management: Text mining and network analysis

Nijjer, Shivinder, Sakhuja, Sumit, Sharma, Chetan

2022

Overview

Issues of the environmental crisis are being addressed by researchers, government, and organizations alike. GHRM is one such field that is receiving lots of research focus since it is targeted at greening the firms and making them eco-friendly. This research reviews 317 articles from the Scopus database published on green human resource management (GHRM) from 2008 to 2021. The study applies text mining, latent semantic analysis (LSA), and network analysis to explore the trends in the research field in GHRM and establish the relationship between the quantitative and qualitative literature of GHRM. The study has been carried out using KNIME and VOSviewer tools. As a result, the research identifies five recent research trends in GHRM using K-mean clustering. Future researchers can work upon these identified trends to solve environmental issues, make the environment eco-friendly, and motivate firms to implement GHRM in their practices.

• Publisher: Springer Berlin Heidelberg,Springer Nature B.V
• Subject: 19th century / 21st century / Aquatic Pollution / Atmospheric Protection/Air Quality Control/Air Pollution / Climate change / Clustering / Data mining / Earth and Environmental Science / Ecotoxicology / Employees / Environment / Environmental Chemistry / Environmental conditions / Environmental Health / Environmental impact / Environmental science / fields / Global warming / Globalization / Green human resource management / green leafy vegetables / Human resource management / human resources management / Mindfulness / Network analysis / Pandemics / Recruitment / Research Article / Semantic analysis / Semantics / Sustainability / Trends / Waste Water Technology / Water Management / Water Pollution Control