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Understanding people's intention toward the adoption of biogas technology: Applying the diffusion of innovation theory and the theory of planned behavior

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posted on 2025-06-04, 13:01 authored by Regina Kulugomba, Harold Mapoma, Gregory Gamula, Stanley Mlatho, Richard BlanchardRichard Blanchard
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 Likert 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' intentions 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.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Energies

Volume

18

Issue

9

Publisher

MDPI

Version

  • VoR (Version of Record)

Rights holder

©The Author(s)

Publisher statement

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Acceptance date

2025-03-18

Publication date

2025-04-23

Copyright date

2025

ISSN

1996-1073

eISSN

1996-1073

Language

  • en

Depositor

Dr Richard Blanchard. Deposit date: 18 March 2025

Article number

2169

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