引起利益相关者的系统边界感知对于问题结构和决策的重要性
Irene Pluchinotta1, Giuseppe Salvia1, Nici Zimmermann1
1Institute for Environmental Design and Engineering, The Bartlett Faculty of The Built Environment, University College London, UK.
概括
了解利益相关者的观点是有效的多组织决策的关键. 比较因果循环图 (CLD) 显示了系统边界和问题框架的差异,有助于协作解决问题.
科学领域:
- 运营研究 运营研究
- 系统动力学系统动力学
- 组织研究 组织研究
- 决策科学 决策科学 决策科学
背景情况:
- 多组织决策面临挑战,因为利益相关者之间存在不同的系统界限和问题框架.
- 非结构化问题,就像重大挑战一样,涉及多个具有不同视角和利益冲突的行为者,需要协调行动.
研究的目的:
- 了解利益相关者对系统边界和问题框架的看法.
- 分析这些感知对决策过程的影响.
- 系统地比较不同利益相关者群体之间的因果图,以共同关注.
主要方法:
- 开发了一种基于利益相关者的感知构建的因果循环图 (CLD) 的新主题分析.
- 综合性定性和定量分析,包括可变中心性和CLD结构.
- 采用了定性参与式的系统动力学建模过程来实现可复制性.
主要成果:
- 通过对CLD进行比较,可视化突出了主题变量集群中的差异和相似之处,这些集群影响着共同的关注点.
- 综合方法促进了利益相关者对系统的更全面的认识.
- 确定了每个利益相关者群体的关键问题方面,以支持协作决策.
结论:
- 将利益相关者的CLD进行比较可以促进共享的理解和更完整的系统感知.
- 这种方法可以带来更系统,更有效的多组织决策.
- 该方法提供了一个可复制的框架,用于在复杂的城市再生环境中协作解决问题.
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