Abstract

The aim of this study is to explore the relationship between responsible en- vironmental management and business performance, emphasizing sustainable strategy models that enhance both environmental sustainability and profitability in modern organizations. Using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS, data were collected from 150 medium to large organizations across multiple industries, including manufacturing, retail, and energy sectors, all of which have implemented formal environmental man- agement initiatives. The findings reveal a statistically significant positive impact of responsible environmental management on both environmental sustainability (β = 0.72, p < 0.01) and business performance (β = 0.65, p < 0.01). Addi- tionally, environmental sustainability was found to positively influence business performance (β = 0.54, p < 0.01). These results validate the relevance of models such as the Triple Bottom Line and Circular Economy, providing action- able insights for companies aiming to enhance competitiveness while achieving sustainability goals. This study highlights the practical implications for busi- ness leaders and policymakers, particularly in fostering sustainable practices that align with both regulatory demands and long-term profitability. Future research is recommended to explore the longitudinal impacts of these strategies across different sectors and regulatory environments.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.