从认知调整到技术适应:通过人工智能增强的人与数据协作来理解农村数字治理
Xiaofang Yan1,2, Hong Chen1
1College of Public Administration and Law, Hunan Agricultural University, Changsha, China.
Disability and rehabilitation. Assistive technology
|September 26, 2025
概括
中国农村地区的数字化转型通过人工智能增强的协作来加强治理. 六个因素,包括意识和兴趣相关性,显著促进可持续的多利益相关者合作 (SMC) 以实现有效的农村数字治理.
科学领域:
- 农村数字治理 农村数字治理
- 人与数据的互动
- 可持续合作 可持续合作
背景情况:
- 中国的数字化和农村振兴推动了治理的数字化转型.
- 人工智能 (AI) 和大数据集成需要人工智能增强的人与数据的协作.
- 可持续的多利益相关者合作 (SMC) 对于有效的农村数字治理至关重要.
研究的目的:
- 调查农村数字治理中SMC的决定因素.
- 提出战略,以加强利益相关者的协同作用.
- 在农村治理中为人工智能支持的人与数据交互提供经验基础.
主要方法:
- 基于26个半结构面试的理论分析.
- 结构方程建模 (SEM) 验证与1370个问卷答复.
- 识别和验证影响SMC的六个关键因素.
主要成果:
- 确定了六个因素:意识强度,技术适应性,机构完整性,场景兼容性,利益相关性和情境吸引力.
- 所有六个因素都显著促进了SMC (p < 0.001).
- 意识强度和兴趣相关性对SMC表现出更强烈的积极影响.
结论:
- 建议的战略:加强宣传,分层培训,数据互操作性,公共权利保护,优化评估和完善的机构框架.
- 研究促进了对中国农村可持续治理和数字技术实施的理解.
- 通过人工智能集成的人与数据的协作,研究结果支持适应性和包容性数字治理系统.
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