Work

Understanding People’s Intentions Towards the Adoption of Biogas Technology: Applying the Diffusion of Innovation Theory and the Theory of Planned Behavior

Year: 2025

Type: article

Abstract: The objective of the study was to investigate factors that influence people’s intention to adopt biogas technology in Malawi. The study adopted variables of the diffusion of innovation theory (DIT) (relative advantage, compatibility, complexity and observability) and the theory of planned behavior (TPB) (subjective norms, perceived behavioral control and attitude) to assess the intention. The study utilized a quantitative methodology, gathering primary data from 98 potential biogas adopters in five districts in Malawi using a questionnaire with a five-point Lik-ert scale. After data collection, a reliability test was conducted to determine the questionnaire's reliability. A multiple regression analysis was performed to establish the relationship between independent and dependent variables. The subjective norms, perceived behavioral control, and attitude were taken as independent variables while the intention to adopt biogas technology was the dependent variable. The study's results indicated that only compatibility and subjective norms were significant predictors and independently contributed to predicting individuals' in-tentions to adopt biogas technology. This will assist policy makers to provide technologies that will be compatible to people’s culture and lifestyle hence preventing wasting of resources. At the same time, involvement of important people in the society will help in raising awareness of the importance of biogas technology

Source: Energies

DOI: 10.3390/en18092169

Authors: Regina Kulugomba, Harold W.T Mapoma, Gregory Gamula, Stanley Mlatho, Richard Blanchard

Institutions: Malawi University of Business and Applied Sciences, University of Malawi, Loughborough University

Language: English

Topic: Social Acceptance of Renewable Energy

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $3,137