A pathway to involve consumers for exchanging electronic waste: A deep learning integration of structural equation modelling and artificial neural network
The pandemic of COVID-19 has disrupted every human life by putting the global activities at halt. In such a situation, people while staying at home tend to have an increased consumption which also leads to an increased level of waste generation. The case of electronic waste is also not different; ho...
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Format: | Article |
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Springer
2022
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Online Access: | http://eprints.um.edu.my/33683/ |
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