Assessing Students’ E-Waste Recycling Behaviour Through the Lens of The KAP Model
List of Authors
  • Bakhtiar Alrazi, Nik Amalena Najebah Nik Azman, Nur Shuhada Ya’acob, Sharina Mohd Salleh, Wan Noordiana Wan Hanafi

Keyword
  • E-Waste; Recycling Behavior; Knowledge; Attitude; And Practice (KAP) Model; Students Awareness; Higher Education Students

Abstract
  • The rapid digitalisation of society has intensified electronic waste (e-waste) generation, posing environmental and health risks, particularly in developing countries such as Malaysia. Despite increasing awareness, the gap between knowledge and recycling practices remains wide. This study assesses higher education students’ e-waste recycling behaviour using the Knowledge, Attitude, and Practice (KAP) framework. A quantitative survey was conducted among 213 students from higher education institutions in Muadzam Shah, Pahang, using a structured questionnaire adapted from established KAP instruments. Data were analysed using descriptive statistics and mean score interpretation. The results revealed high levels of knowledge, positive attitudes, and favourable practices toward e-waste management. Attitude emerged as the most influential factor, reflecting students’ willingness to engage in recycling initiatives, particularly when institutional support and collection infrastructure are available. The findings also show that 69% of respondents perceived e-waste management as a shared responsibility among consumers, manufacturers, sellers, and the government, indicating strong collective awareness of sustainability issues. This study contributes to understanding youth environmental behaviour in Malaysia and supports the development of educational and policy initiatives aligned with Sustainable Development Goals (SDGs) 11, 12, and 13. However, the findings are limited by the study’s geographic focus and reliance on self-reported data, which may constrain generalisability. Future research should adopt a larger, more diverse sample and include qualitative or longitudinal approaches to capture deeper behavioural insights.

Reference
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