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System dynamics modeling as a circular process: The smart commons approach to impact management

机译：作为循环过程的系统动力学建模：影响管理的智能公共方法

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This study argues that the mainstream approaches to system dynamics (SD) modeling processes lack effective impact-based performance management tools and, paradoxically, build upon a nonsystemic view of some social dynamics that are key to sustainability transformations. A causal loop diagram of the mainstream approaches to participatory SD modeling is developed to discuss the fragilities of the learning and decision-making systems that result from such approaches. The analysis suggests that when common resources are at stake, ad hoc organizational solutions are needed at the field level, in addition to the traditional facilitating action at the project/group level, for SD modeling to succeed. Then, to address the fragilities of the existing approaches to participatory SD modeling, this study integrates concepts and solutions from institutional theories, adaptive co-management, and the body of knowledge on the (new) commons. A second causal loop diagram is provided to show how this new proposed approach could restructure the processes that link SD modeling inputs, activities, outputs, outcomes, and impacts due to a higher-level permanent organizational unit with specific roles and data management capabilities labeled "smart commons organization". This study suggests that the proposed smart commons approach could enhance the contribution of SD modeling to sustainability transformations.
机译：这项研究认为，系统动力学（SD）建模过程的主流方法缺乏有效的基于影响的绩效管理工具，而且自相矛盾的是，它们基于对可持续发展转变至关重要的一些社会动力学的非系统性观点。制定了参与式SD建模主流方法的因果关系图，以讨论这种方法导致的学习和决策系统的脆弱性。分析表明，当共同资源受到威胁时，除了在项目/小组级别的传统促进行动之外，还需要在现场级别采用临时组织解决方案，以使SD建模成功。然后，为了解决现有的参与性SD建模方法的脆弱性，本研究整合了制度理论，适应性共同管理以及（新）公共知识体系中的概念和解决方案。提供了第二个因果循环图，以显示这种新提议的方法如何重组将SD建模输入，活动，输出，结果和影响联系起来的流程，这归因于具有特定角色和数据管理功能的较高级别的永久组织单位，其标签为“智慧公地组织”。这项研究表明，提出的智能公共方法可以增强SD建模对可持续性转型的贡献。

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