Towards a Taxonomy of E-Waste Urban Mining Technology Design and Adoption: A Systematic Literature Review

Amila Kasun Sampath Udage Kankanamge, Michael Odei Erdiaw-Kwasie () and Matthew Abunyewah
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Amila Kasun Sampath Udage Kankanamge: Business & Accounting Discipline, Faculty of Arts & Society, Charles Darwin University, Waterfront Campus, Darwin, NT 0800, Australia
Michael Odei Erdiaw-Kwasie: Business & Accounting Discipline, Faculty of Arts & Society, Charles Darwin University, Waterfront Campus, Darwin, NT 0800, Australia
Matthew Abunyewah: The Australasian Centre for Resilience Implementation for Sustainable Communities, Faculty of Health, Charles Darwin University, Casuarina Campus, Darwin, NT 0810, Australia

Sustainability, 2024, vol. 16, issue 15, 1-19

Abstract: The role of technology in e-waste management is receiving increasing attention as a dominant strategy to achieve long-term sustainability and well-being goals. However, a lack of comprehensive understanding of the contemporary factors influencing e-waste urban mining technology design and adoption remains. This is the first study to propose a taxonomy to clarify the contemporary factors influencing e-waste urban mining technology design and adoption. The taxonomy comprises four thematic clusters, notably the device cluster, the process cluster, the organizational cluster, and the macro cluster. This study further shares insights on how the taxonomy of e-waste urban mining technology design and adoption can be applied to assess each stage of the technology transition process. Drawing from this study synthesis, this study taxonomy model characterizes the embedded internal and external various states of technology design and adoption and derives informed decisions from a sustainable technology perspective. This study’s taxonomy framework supports the outlook measurement analysis of e-waste urban mining technology factors from both developing and developed countries’ perspectives, which can contribute to broadening the scope and level of the applicability of technologies.

Keywords: e-waste; urban mining; technology design; technology adoption; thematic clusters (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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