首页|家庭农场数字农业技术采纳作用机制——基于ISM-MICMAC模型分析

家庭农场数字农业技术采纳作用机制——基于ISM-MICMAC模型分析

扫码查看
为探究家庭农场数字农业技术采纳作用机制,通过构建技术采纳影响因素体系,利用ISM-MICMAC模型得出各层次因素、驱动力-依赖性矩阵.ISM层次模型表明,技术安全性感知是直接表层因素,社会网络、设备操作能力、家庭收入、耕地面积、组织化程度、土地细碎化程度、是否参加培训、技术有用性感知和技术易用性感知是中层间接因素,家庭农场主的政治身份、受教育程度、年龄、家庭劳动力人数、居住地理位置、政府宣传引导、政府经济补贴和基础设施是深层本质因素,对技术采纳起决定性作用;驱动力-依赖性矩阵表明,家庭农场主政治身份、受教育程度属高驱动力、低依赖性独立因素.据此提出完善数字基础设施、强化宣传推广、开展教育培训和增加政策扶持等对策.
The Mechanism of Digital Agricultural Technology Adoption in Family Farms Based on ISM-MICMAC Model Analysis
In order to explore the mechanism of digital agricultural technology adoption in family farms,the ISM-MICMAC model was used to obtain the factors at all levels and the driving force-dependence matrix by constructing the influencing factors system of technology adoption.The ISM hierarchical model shows that technical safety is the direct surface factor,social network,equipment operation ability,family income,cultivated land area,degree of organization,degree of land fragmentation,whether to participate in training,perceived technical usefulness and perceived technical ease of use are the middle-level indirect factors,family farmers'political identity,education level,age,number of family labor force,living location,government propaganda and guidance,government economic subsidies and infrastructure are the deep essential factors,which play a decisive role in technology adoption.The driving force-dependence matrix shows that the political identity and education level of family farmers are independent factors with high driving force and low dependence.Based on this,countermeasures such as improving digital infrastructure,strengthening publicity and promotion,carrying out education and training,and increasing policy support are proposed.

digital agriculture technologytechnology adoptioninfluencing factorsISMMICMAC

周妮笛、纪丽彤、舒澍成、杨菲

展开 >

湖南农业大学商学院,湖南长沙 410128

数字农业技术 技术采纳 影响因素 ISM MICMAC

湖南省社会科学基金

18YBA224

2024

科技管理研究
广东省科学学与科技管理研究会

科技管理研究

CSTPCDCHSSCD
影响因子:0.779
ISSN:1000-7695
年,卷(期):2024.44(1)
  • 31