From Blockchain to Green Outcomes: How Training and Supply Chain Learning Shape Sustainable Supply Chain Performance?
Abstract
The paper explores the role of the blockchain technology in improving the environmental performance in terms of sustainable supply chain performance as well as the moderating effects of training practices and supply chain learning. Although there is increased attention towards the future of digital sustainability, there is little empirical information on how blockchain can be converted into quantifiable environmental impacts and whether organizational competencies enhance the association. The design was done using a quantitative cross-sectional design based on the survey information of supply chain and operations professionals. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to test the conceptual model. The reliability and validity were established by using Cronbachs alpha, composite reliability, and AVE, and hypotheses and moderation effects were tested using bootstrapping. Findings indicate that blockchain technology plays a significant role in sustainable supply chain performance (β= 0.842, p < 0.001) which also plays an important role in enhancing environmental performance (β= 0.561, p < 0.001). The model accounts 70.8 percent and 71.2 percent of sustainable supply chain and environmental performance respectively. The moderation effects of training practices and supply chain learning were however insignificantly significant. The study is applicable to digital sustainability literature because it empirically proves that blockchain-mediated sustainability functions through the structured operation practice as opposed to conditional capability enhancement. The results provide theoretical purification and practical recommendations to incorporate blockchain into the environmental performance strategies.
Keywords: Blockchain Technology, Sustainable Supply Chain Performance, Environmental Performance, Training Practices, Supply Chain Learning, Digital Sustainability, PLS-SEM.
