Assefa, Admassie (PhD)Iyasu, Hailu2021-02-102023-11-042021-02-102023-11-042020-10http://etd.aau.edu.et/handle/123456789/25054This thesis takes an integrative approach how variation decision predicts adoption via technology attributes and behavioral features, and synthesize with other socioeconomic variables to investigate how these factors influence the uptake of CSA practices. The study applies both Partial Least Squares Structural Equation Model (PLS-SEM) for prediction as well as the Multinomial Logit model to determine adoption decisions. Except observed trialability constructs the bootstrapped measurement model results shows a significant relation with their latent variables, as well as, the inner structural model technological attribute was highly explained negatively by technological complexity (-40.5%), intention by 39% by personal attitude. CSA adoption was highly and directly by usefulness, technological attribute, cost, and intention respectively by 35.4%, -26.5%, -22.7%, and 22.4%, supporting for specified hypothesis. Moreover, technology attributes and behavioral latent constructs were also simulated in the MNL model along with socioeconomic factors. Results show that education, large land size, access to CSA information, extension, and credit services, inconsistent rainfall, and occurrence of pests and diseases increase the likelihood of adopting one or more CSA practices. While, livestock unit, non-farm income activities, and high temperature reduce the probability of adaptation decisions. These results imply that efforts to promote the widespread adoption of CSAPs by farmers in the study area should focus on enhancing farmers' educational level, create awareness regarding CSAPs, addressing liquidity constraints and deliver extension services. The adoption of CSAPs can also further be enhanced by raising farmers' awareness, and skill and knowledge to ease technological attributes, and change their perceptions and attitudes towards sustainable farming practicesenClimate-smart agricultural practiceMultinomial logit, EthiopiaPartial least square structural equationThesis