<![CDATA[The rise in greenhouse gas emissions is a pressing concern. A potential solution to alleviate escalating environmental degradation from carbon emissions is accelerating the development of the electric motorcycle ecosystem, which could notably mitigate the enduring burden of emission pollution. This study explores the market response to electric motorcycles in North Jakarta, focusing on how environmental knowledge and product attributes impact purchase decisions through environmental purchase intention. Data collection involved questionnaires, with 100 valid samples analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM). Findings show that environmental knowledge significantly and positively influences purchase intention, with a path coefficient of 0.148 and a P value of 0.050. Similarly, product attributes considerably affect purchase intention, with a path coefficient of 0.785 and a P value of 0.000. The connection between environmental knowledge and purchase decisions is positive but not robust, indicated by a path coefficient of 0.137 and a P value of 0.057. Product attributes notably drive purchase decisions, with a path coefficient of 0.519 and a P value of 0.000. Moreover, environmental purchase intention substantially impacts purchase decisions, with a path coefficient of 0.313 and a P value of 0.004. Mediating variables insignificantly affect environmental knowledge (P value of 0.127) but significantly affect product attributes (P value of 0.006).]]>
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