Work

Data‐Driven Pathways to Circular E‐Waste Management

Year: 2026

Type: article

Abstract: ABSTRACT As the volume and complexity of electronic waste grow worldwide, regional and subnational systems are increasingly tasked with managing the environmental, economic, and social challenges of circular resource recovery. This paper focuses on Canada's e‐waste sector to examine how circular economy ( ce ) principles can be integrated into regional governance frameworks. Drawing on a novel methodology with artificial intelligence (AI), natural language processing (NLP), K ‐means clustering, and theory of change (ToC) modeling, the study synthesizes over 200 academic texts to map transformation pathways toward sustainable e‐waste management. Our findings highlight gaps in national policy across provinces and the underutilized potential of community‐led and youth‐driven circular initiatives.

Source: Business Strategy and the Environment

DOI: 10.1002/bse.71160

Authors: Saidia Ali, Samin Sahaaban‐Nejad, Farid Shirazi, Nick Hajli

Institutions: Toronto Metropolitan University, Loughborough University

Language: English

Topic: Recycling and Waste Management Techniques

Subfield: Waste Management and Disposal

Field: Environmental Science

Domain: Physical Sciences

SDGs: Responsible consumption and production, Industry, innovation and infrastructure

Open Access status: hybrid

Estimated APC paid: $4,480