This study examines the correlation between internal drivers, external pressures, Green Entrepreneurial Orientation (GEO). In the context of wood processing companies in Lumajang, this study examines how green supply chain management (GSCM) practices and performance interact. The study relies on theoretical underpinnings grounded in both institutional theory and the Natural Resource-Based View (NRBV) theory to thoroughly explore and comprehend these complex interconnections. Data was collected from a sample of 98 wood processing companies registered as Primary Timber Forest Product Industries (IPHHK) in the Lumajang District Forestry Office up to 2020, using a saturated sampling technique over three months from January to March 2022. This study's data analysis was carried out using structural equation modeling (SEM), which uses the partial least squares (PLS) methodology. The results of the analysis indicate that internal drivers do not exert a significant influence on Green Supply Chain Management (GSCM) performance. In contrast, external pressure and Green Entrepreneurial Orientation (GEO) have a notable and statistically significant impact on GSCM performance. Furthermore, GSCM practices play a crucial mediating role, fully mediating the correlation between internal drivers and GSCM performance and partially mediating the correlation between external pressure, GEO, and GSCM performance. This research holds practical implications for managers, supply chain specialists, and Lumajang wood processing industry policymakers. It clarifies the significance of particular drivers in putting GSCM practices into practice and reaching improved performance levels. Future research should consider expanding the sample size, extending the scope of the survey, exploring additional research avenues, and implementing longitudinal designs to investigate green supply chain integration and firm behavior over time.

This study examined the relationship between green supply chain management (GSCM) on the environment and green economic performance with the moderator prediction context, which is a very fundamental approach for developing stronger theories. The writers chose green technology as a unique moderator in the context of GSCM practices and performance. The purpose of this study is to determine the role of moderating effects of green technology in investigating the relationship between green supply chain management (GSCM) practices and firm performance (environmental and green economic performance). By employing survey methodology using a purposive sampling technique, the data collected from 96 respondents in various manufacturing firms. The hypotheses were tested through SEM-PLS using SmartPLS. The further results show that the results of hypothesis testing indicate that GSCM practices (GSCM) have a positive and significant effect on environmental performance (EP) and green economic performance (GEP). The study also found that the role of green technology as a moderating variable can strengthen the positive relationship between GSCM Practices and environmental performance. While the moderation effect of Green technology (GT) can weaken the positive relationship between GSCM Practices and green economic performance (GEP).