资源约束下小农对物联网技术采纳意愿研究OA

This study investigates the influencing mechanism of mountainous small-scale farmers' willingness to adopt Internet of Things(IoT)technology under multiple resource constraints such as capital and labor shortages,so as to provide a basis for formulating differentiated promotion policies and bridging the digital divide in smart agriculture.Based on the Technology Acceptance Model(TAM)and the Theory of Planned Behavior(TPB),this paper constructs a theoretical framework including perceived usefulness,perceived ease of use,subjective norms and perceived behavioral control.Taking the questionnaire data of 347 small-scale farmers in Boshan District,Zibo City,Shandong Province as samples,this paper conducts reliability and validity tests,adopts the ordered Logistic model and heterogeneity analysis for empirical research,and carries out robustness tests.The conclusions are as follows:perceived usefulness,subjective norms and perceived behavioral control have significant positive effects on small-scale farmers' IoT adoption willingness,among which economic benefit expectations and government subsidy policies play particularly prominent roles.Perceived ease of use shows a complex impact;although farmers worry about operational difficulties,they pay more attention to technical practicality.Heterogeneity analysis shows that grain farmers follow the logic of"constraint-induced"decision-making,while cash crop farmers follow the"benefit-driven"logic.Resource constraints significantly affect small-scale farmers' technology adoption behavior by regulating cognitive and social factors.The government should formulate differentiated promotion strategies with prominent economic benefits,supporting operational training and sound after-sales guarantees for farmers with different resource endowments and crop types,so as to improve the adoption rate of IoT technology and promote the intelligent transformation of mountainous agriculture.