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...
Saved in:
Main Authors: | Najmi, Arsalan, Kanapathy, Kanagi, Aziz, Azmin Azliza |
---|---|
Format: | Article |
Published: |
Springer
2022
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/33683/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Understanding consumer participation in managing ICT waste: Findings from two-staged structural equation modeling-artificial neural network approach
by: Najmi, Arsalan, et al.
Published: (2021) -
Prioritising factors influencing consumers' reversing intention of e-waste using analytic hierarchy process
by: Najmi, Arsalan, et al.
Published: (2019) -
Exploring consumer participation in environment management: Findings from two-staged structural equationmodelling-artificialneural network approach
by: Najmi, Arsalan, et al.
Published: (2021) -
Understanding the role of in-store logistic operations in retail: findings from Pakistan
by: Najmi, Arsalan, et al.
Published: (2022) -
Understanding the role of service attributes in consumer small retailer relationships: Findings from Pakistan
by: Najmi, A., et al.
Published: (2021)