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Factors influencing E-waste urban mining technology adoption: Task technology fit theory perspective

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Abstract

A key challenge facing today's business leaders in the E-waste industry is managing the uncertainty associated with adopting advanced e-waste technologies within the urban mining process. This study examines how the alignment between task requirements, technological characteristics, and user capabilities influences technology adoption within Sri Lanka's e-waste sector. Guided by an exploratory sequential mixed-methods design, the research first conducted 45 semi-structured interviews and two focus group discussions to identify the key dimensions of task–technology fit relevant to the e-waste urban-mining process. These insights informed the development of a quantitative survey administered to 279 employees across formal and informal e-waste businesses in Sri Lanka. Building on the Task–Technology Fit (TTF) framework, the study conceptualises a decomposed Task–Technology–User Fit (TTUF) model comprising five characteristics, such as interoperability, usefulness, scalability, flexibility, and innovativeness, and incorporates user competence as a moderator of the attitude–adoption relationship. Covariance-Based Structural Equation Modelling (CB-SEM) reveals that usefulness, scalability, and innovativeness are significantly associated with employee attitudes, while user competence strengthens the translation of positive attitudes into technology adoption. A multi-group analysis demonstrates that usefulness is consistently influential across both formal and informal sector businesses; however, innovativeness plays a stronger role in formal sector businesses, whereas competence exerts a comparatively greater moderating role in informal sector businesses. This study provides empirical evidence for the proposed TTUF model in the context of e-waste urban mining, advancing theoretical understanding of fit-based technology adoption mechanisms and offering actionable implications for technology developers, managers, and policymakers seeking to accelerate the uptake of sustainable technologies in developing economies.

Original languageEnglish
Article number101026
Pages (from-to)1-21
Number of pages21
JournalComputers in Human Behavior Reports
Volume22
DOIs
Publication statusPublished - Mar 2026

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