Research on effect factors evaluation of internet of things (IOT) adoption in Chinese agricultural supply chain

Danping Lin · C.K.M. Lee · Kangwei Lin

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Technology Adoption and User Behaviour Smart Agriculture and AI Digitalization and Economic Development in Agriculture

Abstract

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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References

1996Structural Equation Modeling: Concepts, Issues, and Applications.1977Marketing Research: Methodological Foundations 1991The processes of technological innovation 1990processes of technological innovation 2014Agricultural supply chain optimization and complexity: A comparison of analytic vs simulated solutions and policies 2005Succeeding in the Big Middle through technology

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