Abstract
Leveraging the power of a quantitative approach, this study navigates the complex web of e-waste dynamics. E-waste generation rates, recycling rates, and composition intricately shape the e-waste landscape in Asia. Through the meticulous collection of data using Google Forms, respondents across four different countries in Asia contribute their perspectives, making this research a true cross-cultural exploration. The findings, distilled through robust statistical analysis using SPSS, highlight the nuanced correlations that dictate the e-waste management paradigm. The Pearson Correlations table underscores the significant associations between e-waste generation rates, recycling rates, composition, and recycling sustainability. The linkages unveiled through this analysis provide a comprehensive understanding of how these factors interact within the Asian context, guiding the formulation of effective e-waste management strategies. Furthermore, the regression analysis validates the hypotheses, showcasing the impact of e-waste generation rates, recycling rates, and composition on e-waste recycling sustainability. The quantitative methodology employed unveils the intricate relationships, their strengths, and significance levels, contributing to a richer comprehension of e-waste management dynamics in Asia.