建模和分类障碍在发展中国家建设智能村的障碍
Yousaf Ali1, Minahill Tariq2, Mohammad Hamza Amjad2
1College of Business & Management, Fahad Bin Sultan University, Tabuk, Saudi Arabia.
Evaluation and program planning
|March 12, 2025
概括
本研究确定并建模了发展中国家实施智能村的障碍,发现森林砍伐和犯罪是关键驱动因素. 它为可持续发展规划提供了一个框架.
科学领域:
- 可持续发展 可持续发展 可持续发展
- 农村发展 农村发展
- 技术创新技术创新技术创新
背景情况:
- 智能村提供了一条实现联合国可持续发展目标的途径.
- 在像巴基斯坦这样的发展中国家实施需要了解独特的挑战.
- 现有的研究缺乏对障碍的全面分析.
研究的目的:
- 在发展中国家识别和分类智能村落实施的障碍.
- 通过解释性结构建模 (ISM) 来对这些障碍进行分层建模.
- 通过使用Matrice d'Impacts Croisés Multiplication Appliquée à un Classification (MICMAC) 技术对障碍物进行细分.
主要方法:
- 文献审查以选择14个关键障碍.
- 专家调查以确定对比关系.
- 用ISM和MICMAC分析进行屏障建模和分类.
主要成果:
- 森林砍伐被确定为最强大的驱动障碍,其次是犯罪率,失业率和公众拒绝.
- 市场中断成为最常见的障碍.
- 根据MICMAC的分析,基于驱动力和依赖性,这些障碍被分为四个不同的类别.
结论:
- 该研究为南亚各国政府提供了一个有价值的框架,以优先考虑智能村发展.
- ISM和MICMAC为分析有限数据的复杂问题提供了有效的方法.
- 这项研究弥合了关键的数据差距,为决策者提供了定性和定量见解.
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