Work

Assessing the adoption of a fully automated groundwater supply system in upland Cebu, Philippines: A mixed-methods study using the hybrid STS-TAM plus framework

Year: 2025

Type: article

Abstract: This study examines the adoption of a fully automated groundwater supply system implemented in upland Cebu, Philippines, through a mixed-methods approach grounded in the integrated Science and Technology Studies-Technology Acceptance Model (STS–TAM Plus) framework. The framework extends traditional behavioral models by including environmental awareness and government support to capture socio-institutional influences on technology uptake. Quantitative modeling using Structural equation modeling identified Perceived Usefulness, Attitude Toward Technology, and Environmental Awareness as dominant predictors of adoption behavior. Mediation analysis revealed that perceived usefulness influenced behavioral intention primarily through attitudinal and environmental pathways, highlighting the role of psychological and emotional factors in shaping acceptance. Qualitative data from interviews and field observations supported the statistical results, revealing key sociotechnical dynamics such as financial barriers, trust-building, and the need for government support. Triangulation confirmed strong convergence between attitudinal and institutional factors, reinforcing the contextual validity of the model. The findings demonstrate that the successful adoption of fully automated groundwater supply system depends not only on user intention but also on systemic readiness, community participation, and institutional engagement offering actionable insights for designing sustainable, community-responsive water systems in resource-constrained and topographically complex regions.

Source: Cleaner Water

DOI: 10.1016/j.clwat.2025.100197

Authors: Ray Malonjao, Juvy Malonjao, Jeonel Lumbab, Joecyn Archival, Gerwine Medio, Janice Alivio

Institution: Cebu Technological University

Language: English

Topic: Technology Adoption and User Behaviour

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

SDGs: Clean water and sanitation, Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: gold

Estimated APC paid: $1,230