外文摘要：The Internet of Things (IoT) holds immense potential for the social and economic development of developing countries, as recognized by academia and professionals. However, there is a notable lack of theoretical research on IoT adoption within agricultural settings. To address this gap, this study introduces a model focusing on nine critical "Technology-Organization-Environment" (TOE) factors. Empirical validation was conducted using data from 179 managers in diverse agricultural organizations. The research model was evaluated by using "Partial Least Squares Structural Equation Modeling" (PLS-SEM). The results underscored the significance of governmental support and technological compatibility in driving IoT adoption. Moreover, financial considerations within organizations and the evolving digital landscape were identified as key influencers of smart farm adoption. This study offers valuable insights with significant implications for sustainable IoT adoption in research and practical applications.
外文关键词：Agriculture;Internet of Things;PLS-SEM;TOE
作者：Bahari, Mahadi;Arpaci, Ibrahim;Der, Oguzhan;Akkoyun, Fatih;Ercetin, Ali
作者单位：Univ Teknol Malaysia;Bandirma Onyedi Eylul Univ;Izmir Demokrasi Univ
期刊名称：SUSTAINABILITY
期刊影响因子：0.0
出版年份：2024
出版刊次：16(5)
原文传递申请：江苏省科技资源（工程技术文献）统筹服务平台