Integrating human resource management, social security, and climate resilience: Pathways to sustainable social protection systems in the era of climate change
Year: 2025
Type: article
Study design: Observational Study
Abstract: This study aims to examine the interconnections between HRM, HRD, and social security in fostering climate resilience. It investigates how workforce management strategies, coupled with robust social protection policies, can jointly enhance sustainability and adaptive capacity within climate-impacted communities. Employing a mixed-methods design, the study utilizes quantitative statistical modeling, including multiple regression and structural equation modeling (SEM), to analyze data from national labor force surveys, climate vulnerability indices, and social protection program metrics. Supplementary qualitative interviews with policymakers and HR professionals provide contextual depth, triangulating quantitative findings. Findings are expected to reveal significant correlations between adaptive HR practices (e.g., climate-focused training, workforce reskilling) and improved social protection outcomes. Statistical models may demonstrate that integrated HRM-social security frameworks significantly reduce climate-related economic losses and enhance social resilience indicators (p < 0.05). The research hypothesizes the existence of HRD as an intermediate variable between the organizational adaptability and sustainable social protection performance. The study highlights the potential of redefining the phenomenon of applying HRM and social security in climate adaptation plans. The insights are useful in narrowing the gap between organizational and policy spheres and creating harmonized solutions to the socioeconomic problems of climate origin.
Source: Social Sciences Spectrum
Authors: Ambreen Kamil, Sadia Muzammil, Kainat Asif, M. Zeeshan Naseer
Institutions: University of Karachi, Abdul Wali Khan University Mardan
Language: English
Subfield: Management, Monitoring, Policy and Law
Field: Environmental Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4413876538
