Effects of Green Human Resource Management on Green Innovation in Pakistani Textile Industries: The Mediating Effect of Green Behavior
Year: 2026
Type: article
Study design: Observational Study
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.
Source: Business Review
Authors: Saeeda Mirza, Shazia Parveen
Language: English
Subfield: Marketing
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W7123363498
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