物联网
供应链
农业
结构方程建模
业务
政府(语言学)
中国
知识管理
比例(比率)
产业组织
环境经济学
营销
计算机科学
计算机安全
经济
量子力学
生物
语言学
机器学习
物理
哲学
生态学
法学
政治学
作者
Danping Lin,C. K. M. Lee,Kuangfei Lin
标识
DOI:10.1109/ieem.2016.7797948
摘要
This paper investigates the effect factors in the adoption of Internet of Things (IoT) technology in the agricultural supply chain in China by constructing a Technology-Organization-Environment (TOE) framework. The data was analyzed using Structural Equation Modelling. Through statistics analysis, the effect factors were recognized and the TOE model was modified appropriately. The results indicated that resistance from employees and uncertainties are not important factors that influence the IoT adoption. Referring to those supported factors, technical factors (complexity, compatibility, perceived benefit, and cost) have a complicated influence on the technology adoption of IoT in agriculture. In addition, organizational factors (scale of enterprise, executive support, trust among the businesses in the supply chain, and technical knowledge) and environmental factors (external pressure and government support) all have positive relationships with IoT adoption.
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