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Business Review

Author ORCID Identifier

Saeeda Mirza:

Orcid ID: 0000-0002-5590-3974

Abstract

In the textile sector, employees' green behavior and green innovation are currently receiving more attention as contributing factors. Consequently, firms are launching a variety of sustainable development initiatives and developing green business plans. This study seeks to fulfil the identified need and contribute to theoretical advancement by examining the underlying mechanisms that explain the determinants of green innovation among managers of the textile sector, utilizing the framework of Ability, Motivation, and Opportunity theory. Purposive technique and two-wave sampling methodologies were employed to gather data via self-report survey questionnaires. Data were collected from a total of 310 textile managers. The primary statistical analysis employed was partial least squares structural equation modelling, which was utilized to rigorously test the research hypotheses. This method serves as an effective tool for analyzing complex relationships between variables within the data set. The results show that GHRM significantly predicts green innovation. Moreover, the study also demonstrates that green behavior plays a positive mediating role in explaining the relationship between GHRM and green innovation. This research adds to and expands the literature on creating green innovation, which has been empirically shown to be able to boost green behavior. The findings provide significant insights for policymakers in the textile sector regarding the potential of GHRM to enhance green innovation. This study contributes to the understanding of GHRM by broadening its scope and addressing existing knowledge gaps, particularly within the context of the textile industry. Theoretical contribution, practical implications, and future directions have all been presented.

Keywords

Green human resource practices, green behavior, green innovation, green recruitment and selection, green creativity, and green compensation and reward

DOI

10.54784/1990-6587.1715

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Received:

February 20, 2025

Revised:

July 28, 2025

September 26, 2025

October 21, 2025

Accepted:

October 24, 2025

Published:

January 12, 2026

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