A Theory of Planned Behavior-Informed Evaluation of Growers’ Intent to Use Automated Nursery Technologies

Abstract

Labor scarcity and rising production costs due to increasing labor wages and benefits are key concerns among nursery growers. Automated nursery technologies are a means to address labor challenges, but they are not widely adopted. The research objective was to use the Theory of Planned Behavior to evaluate nursery growers’ intention of using automated technologies in their operations to support future educational initiatives. Using a mixed-mode survey, four technology clusters, or a grouping of connected ideas, were examined: Irrigation application, Plant transport, Plant handling, and Agrochemical application. Overall intent to adopt technologies within each cluster was neutral but slightly negative. Attitudes towards adopting automated nursery technologies and perceptions of others’ approval for adoption were positive, and perceived behavioral control and perceptions of others’ adoption were neutral. When used to predict likelihood of adoption through multiple linear regression models, there was variability in characteristics that predicted intent to adopt technologies within each cluster with attitude being the most consistent predictor across the clusters. There were both positive and negative relationships between the social norms variables and behavioral intent. Overall, social norms and attitudes appear to be among the most important characteristics in disseminating automated nursery technology adoption to address labor issues.