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Bibliometric investigation on green human resource management research
oleh: Poonam Mehta
Format: | Article |
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Diterbitkan: | Emerald Publishing 2024-07-01 |
Deskripsi
Purpose – The paper aims to present the comprehensive picture on green human resource management (GHRM) based upon bibliometric investigation, including different criteria, such as key authors, documents, keywords, bibliographic coupling (BC), etc. Design/methodology/approach – Bibliometric technique has been used with the application of VOSviewer. Further, the Scopus database has been utilised to extract the research articles. Findings – The present study has exposed the due relevance of GHRM in the area of human resource management (HRM) for researchers as well as practitioners. The study has revealed that number of citations in the area is high from the researchers of China. Also, Jabbour, C.J.C., has been identified as the lead contributor and author from the area with 43 publications and 1,352 citations. The journal of cleaner production has been identified as the journal with the largest number of publications from the area. Also, prominent keywords used in the area are sustainability, GHRM, environmental management, sustainable environment and HRM. Research limitations/implications – The study has offered the comprehensive publication analysis on the area which will assist the researchers in gaining review on topic and development of empirical models. Further, with the utilisation of keywords criterion they can easily explore the publications done in the area. Also, study will help the scholars and researchers to identify the region and countries along with the institutions and universities to pursue research on the GHRM topic. Practical implications – The present study will help the mangers to focus on GHRM with more focus to acquire positive consequences for human resource management. Originality/value – The present paper has presented various new and recent facets associated with the area of GHRM. Previously the similar analysis with bibliometric technique is rarely done with the present Scopus database.