Mixed Method Study_CHBR

This dataset supports the study examining the determinants of e-waste technology adoption in Sri Lanka using a Task–Technology–User Fit (TTUF) framework. The research tests the hypotheses that specific task–technology characteristics (interoperability, usefulness, scalability, flexibility, and innovativeness) influence employee attitudes toward e-waste technologies, and that user competence moderates the relationship between attitude and technology adoption.

Data were collected using a sequential mixed-methods design. The qualitative phase included semi-structured interviews and focus group discussions to identify key task–technology characteristics. The quantitative phase involved a cross-sectional survey of 279 employees from formal and informal e-waste sector businesses in Sri Lanka. All constructs were measured using validated multi-item scales on a five-point Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree). Structural Equation Modelling (CB-SEM, lavaan 0.6-19 in R) was used to test the hypotheses.

The data show that usefulness and scalability significantly predict attitude, and user competence strengthens the translation of positive attitudes into technology adoption. The dataset includes the validated survey instrument, interview protocols, labelled dataset, and full SEM scripts to enable replication. Researchers may use these materials to replicate the analysis, extend the TTUF framework, conduct cross-country comparisons, or test alternative theoretical models in technology adoption research.