10 pages., The smart farm, a future-oriented farm operation that integrates information and communications technologies, is an emerging trend in agriculture. This study investigates the factors affecting the adoption of the smart farm in Korea and analyzes them empirically. The research model is based on Rogers' innovation diffusion theory and existing models of adoption of information technology in organizations. The model proposes that adoption of innovative technology is influenced by relative advantages, complexity, and compatibility of the technology, the innovativeness and IT knowledge characteristics of the CEOs, financial costs, human resource vulnerability and lack of skills, competitive pressure, government support and the change to the digital environment. These factors were categorized according to TOE framework, investigated, and empirically tested using survey data to determine their influence on the adoption of smart farms. The results showed that the compatibility of technology, financial costs for the organization, and the digital environment change influence the adoption of smart farms. This study suggests practical implications for the adoption of smart farm technology based on the results.
15pgs, Agriculture is crucial in catering to the increasing demand for food and employment. Thus, adoption of novel technologies is important. Many scientists have developed different theories and models explaining the process of behavioral change relevant to adoption. They are either completely different, similar, or improvements of previously developed models. Therefore, compilation and summarization of these theories and models will support future studies and researchers. Thus, an analysis of literature on technology adoption was conducted. The review was prepared based on literature from various sources spanning around 50 years. The theories and models identified by different studies were compiled and analyzed in this review paper. Many theories and models in agricultural technology adoption such as transtheoretical model, theory of reasoned action, theory of interpersonal behavior, model for innovation-decision process, different versions of technology acceptance model, theory of planned behavior, theory of diffusion of innovation, task-technology fit, technology readiness, unified theory of acceptance and use of technology, expectancy livelihood model, social cognitive theory, and perceived characteristics of innovating theory were compiled. Each theory and model has its own uniqueness, which had explained different aspects of technology adoption process and factors determining the behavioral change. These theories and models included affecting factors such as technological, personal, social, and economical factors. In conclusion, it can be stated that, rather than having a single theory or a model, an integrated and amalgamated form will be more explanatory for technology adoption.
