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Interplay between GHRM and logistics social responsibility: when big data analytics matters

Ayham A.M. Jaaron (School of Leadership, Management and Marketing, Institute for Responsible Business, De Montfort University, Leicester, UK)
Mudaser Javaid (Economics and Management School, Wuhan University, Wuhan, China)
R.L. Fernando Garcia (Department of Human Resources, SM Hotels and Conventions Corporation, Calabarzon, Philippines)

Management of Environmental Quality

ISSN: 1477-7835

Article publication date: 22 October 2024

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Abstract

Purpose

This paper analyses the role of green human resources management (GHRM) practices on the application of logistics social responsibility (LSR) practices and examines the moderating effect of big data analytics (BDA) utilisation levels within these relationships.

Design/methodology/approach

Based on quantitative research methodology using survey data from 404 managers in the logistics service providers (LSPs) industry in the Philippines, PLS-SEM technique was used to test hypotheses formulated in this research.

Findings

Empirical results achieved suggest that GHRM practices have a significant positive impact on LSR. Among all individual GHRM practices, green training and development did not have any influence on LSR. While the results also revealed that BDA assimilation acts as a moderator of the relationship between GHRM and LSR, no support was found for the moderation effect of BDA acceptance or adoption on this relationship.

Originality/value

The study fills a gap in the logistics literature by introducing dynamic capabilities theory to the nexus between GHRM and SLR for the first time, which reveals previously unknown answers on effects of GHRM practices on LSR. The study also introduces BDA assimilation as an important moderator that can strengthen positive impact of GHRM on LSR.

Keywords

Citation

Jaaron, A.A.M., Javaid, M. and Garcia, R.L.F. (2024), "Interplay between GHRM and logistics social responsibility: when big data analytics matters", Management of Environmental Quality, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/MEQ-04-2024-0144

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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