Abstract
The design of an e-waste collection policy is challenging, especially for a country like India, where the economy is a developing state, and there is a large diversity in socio-economic factors. The e-waste collection policy impacts the various stakeholders such as the manufacturer, the raw material producers, the assemblers, the retailers, the generator (households and bulk consumers), the scrap dealers, the smelters, the recyclers, and the regulators. The design of an e-waste collection policy needs to consider the appropriate set of Critical Success Factors (CSFs), which will maximise the e-waste collection providing business sustainability to the stakeholders while satisfying the environmental regulations in the operating locations. Twenty-three CSFs identified and categorised in six implication dimensions for the e-waste collection policy framework based on a literature survey and experts committee view. The fuzzy DEMATEL approach is employed to analyse the CSFs to design an e-waste collection policy in India from a comprehensive perspective. Cause and effect interrelationship is established among the CSFs, and also their impacts are evaluated to segregate the CSFs into cause group (prominent influencing and independent) and effect group (influenced and dependent). The CSFs such as technology involvement, green practices, environmental program, certification and licensing, public ethics and stakeholder's awareness for circular economy are prominent influencing CSFs for e-waste collection policy in India. The current study is expected to provide a platform for policymakers to design the e-waste collection policy.
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Abbreviations
- \( \tilde{\mathrm{A}} \) :
-
Fuzzy direct relationship matrix
- \( {\tilde{a}}_{ijk}=\left({l}_{ijk},{m}_{ijk},{u}_{ijk}\right) \) :
-
Degree of influence factor i on factor j
- k :
-
Number of experts
- (xl ij, xm ij, xu ij):
-
Normalised value of (lij, mij, uij)
- \( \min {l}_{ij}^k \) :
-
Column minimum value of lij
- \( \max {u}_{ij}^k \) :
-
Column maximum value of uij
- \( x{\mathrm{ls}}_{ij}^k \) :
-
Left spread measure of normalised fuzzy number
- \( x{\mathrm{us}}_{ij}^k \) :
-
Right spread measure of normalised fuzzy number
- \( {x}_{ij}^k \) :
-
Total normalised crisp value
- \( {z}_{ij}^k \) :
-
Crisp value defuzzified from TFN
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This work is partially supported by Department of Science & Technology, Rajasthan, India. Grant no: P 7(3) Vpro/R&D/2016/3262.
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SS, Conceptualization, Methodology, Software, Data curation, Writing- Original draft preparation, Investigation, Visualization, Software, Validation and Writing; MSD, Critical reviewing, Editing and Supervision; SR, Conceptualization, Reviewing and Supervision.
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Singh, ., Dasgupta, M.S. & Routroy, S. Analysis of Critical Success Factors to Design E-waste Collection Policy in India: A Fuzzy DEMATEL Approach. Environ Sci Pollut Res 29, 10585–10604 (2022). https://doi.org/10.1007/s11356-021-16129-x
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DOI: https://doi.org/10.1007/s11356-021-16129-x