农业人工智能采用意图的驱动因素:基于创新特征,技术承诺和个人异质性的山东省实证研究
Kai Cao1, Ping Wang2, Siyu Kong3
1Library of Qinghai University, Qinghai University, Xining, Qinghai, China.
Frontiers in artificial intelligence
|March 9, 2026
概括
农业人工智能 (AI) 的采用是由感知易用性和实用性驱动的,受移动性和兴趣等因素的影响. 教育和经验对农民来说可以缓解这些影响.
科学领域:
- 采用农业技术 采用农业技术
- 人工智能在农业中的应用
- 技术接受模式的模型
背景情况:
- 尽管有经济和环境的好处,但农业人工智能采用率仍然很低.
- 了解采用驱动器对于农业4.0时代至关重要.
- 小农在采用新技术方面面临挑战.
研究的目的:
- 探索农业人工智能的采用驱动机制.
- 分析影响因素和适度影响的收养意图.
- 为促进农业人工智能提供经验基础.
主要方法:
- 利用扩展的TAM-UTAUT模型与山东省的359名农业从业者合作.
- 综合技术创新的特点,技术承诺和个体异质性.
- 用于分析的部分最小平方-结构方程建模 (PLS-SEM).
主要成果:
- 移动性,自主性,对技术的兴趣和控制信念对感知到的易用性产生了积极的影响.
- 流动性,兴趣和易用性积极影响感知到的有用性.
- 感知到的易用性和有用性共同提高了采用意向;教育和经验调节了这些关系.
结论:
- 农业人工智能采用是复杂的,受技术特征和用户因素的影响.
- 需要有差异化的推广策略和技术设计优化.
- 调查结果支持加快农业的数字化转型.
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