digital transformation in the poultry industry: assessing adoption through the utaut model and managerial profiles

This study investigates the factors influencing the adoption and effective use of digital technologies in the poultry industry in togo’s kara region. using the utaut framework and a logit model, the study aimed to assess how perceptions of usefulness, ease of use, and managerial characteristics affect technology uptake. a purposive sample of 80 participants involved in breeding, retailing, slaughtering, feed supply, and poultry sales was surveyed. data analysis was conducted using smart pls 4 for structural equation modeling and stata 17 for logistic regression. results show strong indicator reliability (outer loadings > 0.7), robust composite reliability (0.865&-0.992), and acceptable convergent validity (ave values > 0.5). key findings reveal that performance expectancy and effort expectancy significantly influence behavioral intention and actual usage, emphasizing the importance of perceived productivity benefits and ease of use. in contrast, facilitating conditions, digital flexibility, and social influence were not significant. the socio-demographic analysis indicates that younger and male managers are more likely to adopt digital technologies, while marital status and cooperative membership showed no significant effects. these insights provide practical benefits by informing policy recommendations aimed at improving digital infrastructure, enhancing training programs, and designing targeted interventions that encourage broader digital adoption in togo’s poultry sector.