Determinants of E-Waste Recycling Behaviour among Residents in Klang Valley, Malaysia

E-waste is among the most rapidly rising kinds of solid waste globally due to the decreasing lifespan of electronic devices. The accumulation of e-waste poses serious threats not only to the ecosystem but also to the well-being of individuals, making it essential for residents to engage in effective e-waste recycling practices. To foster community sustainability, it is necessary to understand the determinants that influence residents’ e-waste recycling behaviour. The primary aim of this study is to explore the determinants of shaping residents’ e-waste recycling behaviour in the Klang Valley area. The extended Theory of Planned Behaviour (TPB) was employed to examine the influence of key variables, including attitude, subjective norms, perceived behavioural control, and convenience of recycling, on both the intention to recycle e-waste and actual e-waste recycling behaviour. Data was collected from 237 respondents via an online questionnaire. The results showed that attitude, subjective norms, and perceived behavioural control have a significant impact on the e-waste recycling intention among residents of the Klang Valley. Furthermore, a significant relationship was found between e-waste recycling intention and recycling behaviour. The study also revealed that the convenience of recycling did not significantly influence the intention to recycle e-waste among residents of the Klang Valley area. Likewise, sociodemographic characteristics have no correlation with e-waste recycling behaviour apart from the gender variable. These findings help various stakeholders understand an effective e-waste recycling mechanism that can support the community in achieving its sustainable development goals by 2030.

Authors

Publication Details

Journal
International Journal of Research and Innovation in Social Science
Published
2025-01-01
DOI
https://doi.org/10.47772/ijriss.2025.901900002
Primary Topic
Recycling and Waste Management Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determinants of E-Waste Recycling Behaviour among Residents in Klang Valley, Malaysia

Nway Nandi Htet, Syazwani Sahrir
1 links
International Journal of Research and Innovation in Social Science
Recycling and Waste Management Techniques
article

Determinants of E-Waste Recycling Behaviour among Residents in Klang Valley, Malaysia

Nway Nandi Htet, Syazwani Sahrir
article en

Abstract

E-waste is among the most rapidly rising kinds of solid waste globally due to the decreasing lifespan of electronic devices. The accumulation of e-waste poses serious threats not only to the ecosystem but also to the well-being of individuals, making it essential for residents to engage in effective e-waste recycling practices. To foster community sustainability, it is necessary to understand the determinants that influence residents’ e-waste recycling behaviour. The primary aim of this study is to explore the determinants of shaping residents’ e-waste recycling behaviour in the Klang Valley area. The extended Theory of Planned Behaviour (TPB) was employed to examine the influence of key variables, including attitude, subjective norms, perceived behavioural control, and convenience of recycling, on both the intention to recycle e-waste and actual e-waste recycling behaviour. Data was collected from 237 respondents via an online questionnaire. The results showed that attitude, subjective norms, and perceived behavioural control have a significant impact on the e-waste recycling intention among residents of the Klang Valley. Furthermore, a significant relationship was found between e-waste recycling intention and recycling behaviour. The study also revealed that the convenience of recycling did not significantly influence the intention to recycle e-waste among residents of the Klang Valley area. Likewise, sociodemographic characteristics have no correlation with e-waste recycling behaviour apart from the gender variable. These findings help various stakeholders understand an effective e-waste recycling mechanism that can support the community in achieving its sustainable development goals by 2030.

International Journal of Research and Innovation in Social ScienceVol. IX(XIX)
Openalex Percentile: Top 78%
Recycling and Waste Management Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.