构建不可抗拒的框架:对重大挑战进行全面的成功因素分析
Joseph V Sinfield1,2, Ananya Sheth2, Romika R Kotian2
1College of Engineering Innovation and Leadership Studies Program, Purdue University, West Lafayette, IN, United States.
Sustainable futures (Amsterdam, Netherlands)
|April 15, 2024
概括
一种新的方法,全面的成功因素分析 (CSFA),提供了一个整体的方法来构建复杂的社会技术挑战. 它整合了各种数据,以创建详细的详细数据.
科学领域:
- 社会技术系统分析分析
- 问题框架方法论问题框架方法论
- 知识组织是知识组织.
背景情况:
- 现有的方法来构建复杂的社会技术挑战 (大挑战/邪恶问题) 是不充分的.
- 减少主义的方法过于简单化,而整体方法缺乏系统性,可能会有偏见.
- 需要一个强大的,系统的,包容性的方法来整体解决问题.
研究的目的:
- 引入和验证综合成功因素分析 (CSFA),这是一个扩展的整体问题框架技术.
- 为了证明CSFA能够产生更丰富,更全面的关于重大挑战的图片.
- 为理解和解决复杂的社会技术问题提供系统的框架.
主要方法:
- CSFA整合了来自专家和普通人群的网络挖掘信息.
- 它使用基于模式的本体知识组织结构.
- 该方法强调了多层次的抽象,多样化的视角,上下文化和系统视图.
主要成果:
- CSFA产生了"成功因子树",为复杂问题提供了更全面和整体的观点.
- 这种方法在七年内在各种社会技术挑战中得到了改进.
- 与现有文献相比,低收入至中等收入国家对"粮食安全"的应用显示出更高的范围,抽象水平,多元性和上下文细节.
结论:
- CSFA为构建复杂的社会技术挑战提供了一个强大的框架,超越了当前的方法.
- 成功因素树有助于协作,明智地分配资源和设计解决方案.
- 该方法解决了减少主义和不那么系统的整体框架技术的局限性.
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