A Benchmarking Model for HRM Elements of Large Mining Industry: 
ISM-Based Approach

While human resource management (HRM) elements concerning the expansive mining industry have been acknowledged, they still need to be explored. This paper presents a novel and strategic endeavour to construct a benchmark model linking HRM elements specific to the large mining industry. Drawing from an extensive literature review, crucial HRM elements pertinent to the mineral industry are systematically identified and thoroughly examined. The study utilises the interpretive structural modelling (ISM) technique within the context of major Indian mining industries to unveil latent relationships among these HRM-related elements. Through six-phased interactions, a foundational model is established, illuminating these relationships. The findings are poised to positively impact the mining industry, contributing to enhanced system sustainability. Furthermore, this paper represents a pioneering effort as the first research to elucidate the relationship model of HRM elements within the mining industry. It encourages HRM researchers to delve further into the mining industry to address its challenges. This research serves as a foundational study and provides a platform for further investigations by HRM experts, researchers and field personnel, enabling a multifaceted exploration of HRM perspectives.

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Publication Details

Journal
South Asian Journal of Human Resources Management
Published
2024-10-14
DOI
https://doi.org/10.1177/23220937241282405
Primary Topic
Innovation and Knowledge Management
Type
article
Field-Weighted Citation Impact
0.00
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article

A Benchmarking Model for HRM Elements of Large Mining Industry: 
ISM-Based Approach

Padma Charan Mishra, Manoranjan Dash, Manoj Kumar Mohanty, Sonali Khatua
South Asian Journal of Human Resources Management
Innovation and Knowledge Management
article

A Benchmarking Model for HRM Elements of Large Mining Industry: 
ISM-Based Approach

Padma Charan Mishra, Manoranjan Dash, Manoj Kumar Mohanty, Sonali Khatua
article en

Abstract

While human resource management (HRM) elements concerning the expansive mining industry have been acknowledged, they still need to be explored. This paper presents a novel and strategic endeavour to construct a benchmark model linking HRM elements specific to the large mining industry. Drawing from an extensive literature review, crucial HRM elements pertinent to the mineral industry are systematically identified and thoroughly examined. The study utilises the interpretive structural modelling (ISM) technique within the context of major Indian mining industries to unveil latent relationships among these HRM-related elements. Through six-phased interactions, a foundational model is established, illuminating these relationships. The findings are poised to positively impact the mining industry, contributing to enhanced system sustainability. Furthermore, this paper represents a pioneering effort as the first research to elucidate the relationship model of HRM elements within the mining industry. It encourages HRM researchers to delve further into the mining industry to address its challenges. This research serves as a foundational study and provides a platform for further investigations by HRM experts, researchers and field personnel, enabling a multifaceted exploration of HRM perspectives.

South Asian Journal of Human Resources Management
Siksha O Anusandhan University (IN), Larsen & Toubro (India) (IN), Central University of Odisha (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 69%
Innovation and Knowledge Management
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A Benchmarking Model for HRM Elements of Large Mining Industry: 
ISM-Based Approach — Padma Charan Mishra, Manoranjan Dash, et al. · South Asian Journal of Human Resources Management (2024) | TGRS Research Map | TGRS