Understanding the determinants influencing snake meat consumption intention in Ghana using the extended theory of planned behavior

Human consumption of snakes is listed as one of the main threats to their conservation status. Consumer behavior change interventions are identified as the most effective means to conserve species threatened by human consumption. However, knowing which behavioral drivers of consumption intention to focus on is necessary to guide change interventions effectively. This study determined the factors influencing behavioral intentions to consume the Vulnerable (VU) snake species Bitis gabonica in Ghana. Data were collected from 296 households in the Avatime traditional area in October and November 2024 using in-person interviews with a structured questionnaire. Analysis was done using the partial least squares structural equation modeling (PLS-SEM) technique in SmartPLS 3.2.8. The findings revealed that the paths between attitude, perceived behavioral control, and social norm towards consumption intention of Bitis gabonica were positive and significant. Attitude was the most important predictor of Bitis gabonica consumption, followed by perceived behavioral control and subjective norm. The study recommends behavior change campaigns that emphasize changes in attitude toward human consumption of Bitis gabonica. Persuasive messages aimed at changing beliefs and emotions towards snakes should be the primary focus of attitudinal change efforts.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-11-13
DOI
https://doi.org/10.1038/s41598-025-23464-3
Primary Topic
Animal and Plant Science Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding the determinants influencing snake meat consumption intention in Ghana using the extended theory of planned behavior

Maxwell Kwame Boakye
Scientific Reports
Animal and Plant Science Education
article

Understanding the determinants influencing snake meat consumption intention in Ghana using the extended theory of planned behavior

Maxwell Kwame Boakye
article en

Abstract

Human consumption of snakes is listed as one of the main threats to their conservation status. Consumer behavior change interventions are identified as the most effective means to conserve species threatened by human consumption. However, knowing which behavioral drivers of consumption intention to focus on is necessary to guide change interventions effectively. This study determined the factors influencing behavioral intentions to consume the Vulnerable (VU) snake species Bitis gabonica in Ghana. Data were collected from 296 households in the Avatime traditional area in October and November 2024 using in-person interviews with a structured questionnaire. Analysis was done using the partial least squares structural equation modeling (PLS-SEM) technique in SmartPLS 3.2.8. The findings revealed that the paths between attitude, perceived behavioral control, and social norm towards consumption intention of Bitis gabonica were positive and significant. Attitude was the most important predictor of Bitis gabonica consumption, followed by perceived behavioral control and subjective norm. The study recommends behavior change campaigns that emphasize changes in attitude toward human consumption of Bitis gabonica. Persuasive messages aimed at changing beliefs and emotions towards snakes should be the primary focus of attitudinal change efforts.

Scientific ReportsVol. 15(1)
Ho Technical University (GH)
Openalex Percentile: Top 61%
Animal and Plant Science Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.