| No |
Authors |
Sample |
Theory/Model |
Variables |
Findings |
| Panel A: Literature focusing on the behaviour |
| 1 |
Wan Abdul Kadir et al. (2022) |
382 residents in Kulim, Kedah |
N/A |
KnowledgePerceptionAttitude |
About one-half agreed that recycling helps the environment and acknowledged their responsibility for proper e-waste management.More than one-third agreed on the challenges in managing old electronic equipment and that they were unclear about the proper recycling method. |
| 2 |
George et al. (2019) |
100 residents in Kota Kinabalu, Sabah |
N/A |
Behaviour towards e- waste management |
Throw to bin and keep in store as the most preferred disposal methods. |
| 3 |
Mahat et al. (2019) |
500 residents in Selangor |
KAP model |
KnowledgeAttitudesPractices |
Selling as used appliances and switching with new appliances were the most preferred disposal methodsHigh level of knowledge and attitude but medium level of practices. |
| 4 |
Afroz et al. (2013) |
330 residents in Kuala Lumpur |
N/A |
KnowledgeAwarenessWillingness to pay |
About 59% knew the environmental impact of waste electric and electronic equipment and 65% considered the impact in purchase decisionAbout 53% willing to pay for the improvement in collection and disposal. |
| 5 |
Lim & Haw (2011) |
137 students of Universiti Tenaga Nasional |
N/A |
AwarenessDisposal methodWillingness to recycling |
About 33% were not aware about e-waste and the existence of recycles collectorKeep in the store room and sale to recycling center were the most preferred disposal methods.The majority (37%) will send for recycling if with monetary return. |
| Panel B: Literature examining the factors influencing the behaviour |
| 1 |
Rezaei and Ho |
459 students from public and private universities |
Configurational theory |
Lack of concernRelative advantageComplexityInformation- sharing desireMoral attitudeMarket maven tendencyE-WOM generation (DV) |
Market maven tendency explained 86.8% of likeliness to promote e-waste.A total of 11 configurations contributed to e- waste promotion |
| 2 |
Mohd Yahya et al. (2020) |
543 residents in Kuala Lumpur |
N/A |
Demographic variablesKnowledge (DV) |
96% had either high or moderate knowledge about e-wasteHigher knowledge were among male, aged between 25 and 49 years old, married, working in the private sector and living either in terrace housing, townhouses or traditional houses. |
| 3 |
Shaharudinet al. (2020) |
110 residents inPutrajaya |
TPB |
Perceived conveniencePerceived benefitsPerceived normsPerceived policy effectivenessIntention to dispose portable e- waste (DV)Proper disposal behaviour (DV) |
About 72% have heard about portable e-waste disposal and 47% disposal were through returning the device to manufacturers.Perceived policy effectivenessand perceived convenience determined the intention, which in turn, led to proper disposal behaviour. |
| 4 |
Tengku Hamzah et al. (2020) |
271 residents in Port Dickson |
KAP model |
Level of educationKnowledge (DV)Attitude (DV)Practices (DV) |
Higher level of educationwas associated with greater knowledge, better attitude and more proper practices towards e-waste. |
| 5 |
Jayarama et al. (2019) |
123 residents |
Kohlberg's stage of moral development theory |
E-waste hazardSocial consequencesLaptop usageLaptop disposal practiceComputer literacyConviction on laptop disposal practice (DV) |
Conviction on laptop disposal practice was determined by laptop usage, laptop disposal practice and computer literacy. |
| 6 |
Ting et al. (2019) |
165 university students |
Consumer's disposition behaviour model |
PriceBrandCompatibilityUsefulnessSocial influenceProduct attachmentDecision to keep (DV)Decision to get rid of temporarily (DV)Decision to get rid of permanently (DV) |
Compatibility led to the decision to keep or get rid of permanentlyUsefulness affected decision to keepSocial influence was a significant factor for deciding to get rid of temporarilyProduct attachment influenced the decision to keep or get rid of temporarily. |
|
Wong et al. (2019) |
140 residents in Cheras, Kuala Lumpur |
N/A |
Lack of knowledgeLack of awarenessLack of cooperationLack of facilitiesBarriers for practicing e- waste management (DV) |
All factors are significant barriers for practising e-waste management |
| 8 |
Kianpour et al. (2017) |
468 electronic product customers |
Decomposed TPB |
ComplexityEco-literacyIncentivePerceived product riskRelative advantagesCompatibilityNormative influencesCollection methodInformationSelf-efficacyAttitudeSubjective normPerceived behavioral controlParticipation intention in reverse supply chain management (DV) |
Significant factors: eco-literacy, perceived product risk, relative advantages, normative influences, collection method, information, self- efficacy, attitude and perceived behavioural control |
| 9 |
Afroz et al. (2015) |
330 residents in Kuala Lumpur |
N/A |
Demographic variablesWillingness to pay for waste electrical and electronic equipment management (DV) |
About 74% were willing to pay at an average price of RM23.47.Greater willingness to pay among respondents who were younger and had higher educational level, greater income and better attitude towards waste management. |
| 10 |
Akhtar et al. (2014) |
200 residents in Kuala Lumpur |
N/A |
AwarenessKnowledgeRisk perceptionAttitudes (DV)Recycling behaviour (DV) |
About 34% re-used the waste, 30% threw them in the waste bins and 27% kept them in the house.All factors influenced the attitudes towards e- waste recycling.Attitudes and awareness impacted recycling behaviour. |
| 11 |
Chibunna et al. (2013) |
470 students and employees of Universiti Kebangsaan Malaysia |
N/A |
Demographic variablesParticipationPerceptionReason for concernAttitudes towards repair/ refurbishment |
Only 28% participated in e- waste recycling, whilst 83% agreed with the collection and recycling within the campus. About two-third attributed their concern with environmental health and 54% were positive with repair/ refurbishment.Level of education, income and age did not affect the attitudes. |
| 12 |
Ho et al. (2013) |
150 residents in Melaka |
N/A |
AttitudePerceived knowledgeAwareness of consequencesSubjective normWillingnessPerceived convenience |
All the six factors are reliable and having high intercorrelations among the factors. |
