摘要
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。
In order to explore the mechanism of digital agricultural technology adoption in family farms,the ISMMICMAC 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.
作者
周妮笛
纪丽彤
舒澍成
杨菲
Zhou Nidi;Ji Litong;Shu Shucheng;Yang Fei(School of Business,Hunan Agricultural University,Changsha 410128,Hunan)
出处
《科技管理研究》
CSSCI
2024年第1期117-123,共7页
Science and Technology Management Research
基金
湖南省社会科学基金项目“‘互联网+’背景下小农户与现代农业发展有机衔接机制研究”(18YBA224)。
作者简介
通信作者:周妮笛(1980-),女,湖南湘阴人,副教授,硕士研究生导师,博士,主要研究方向为数字农业、中小企业管理、农村金融;纪丽彤(1999-),女,广东汕头人,硕士研究生,主要研究方向为数字农业;舒澍成(1998-),女,湖南益阳人,硕士研究生,主要研究方向为数字农业;杨菲(2001-),女,湖南常德人,硕士研究生,主要研究方向为数字农业。
