Techniques to enhance the public policy impact of qualitative system dynamics models

Author:

Veldhuis G.A. (Guido)1ORCID,Smits‐Clijsen E.M. (Eefje)1,van Waas R.P.M. (Rob)1

Affiliation:

1. TNO‐Netherlands Organization for Applied Scientific Research The Hague The Netherlands

Abstract

AbstractThis article demonstrates techniques to enhance the public policy impact of qualitative system dynamics models. We focus on the effective use of a large causal loop diagram (CLD) to explore a multifaceted problem situation. We discuss the conditions that can lead to developing a large CLD, the challenges this presents, and techniques that can be used to overcome them. Several techniques are discussed related to an online group model‐building (GMB) process, the use of quantitative data, visual model analyses using a software tool and reporting. The techniques are demonstrated using an impactful case study on the social impact of the COVID‐19 pandemic. We reflect on the efficacy of the approach through the lens of systems thinking and conclude that the techniques made a positive contribution to all aspects of systems thinking. Several avenues for future work are discussed. © 2023 The Authors. System Dynamics Review published by John Wiley & Sons Ltd on behalf of System Dynamics Society.

Funder

Ministerie van Sociale Zaken en Werkgelegenheid

Publisher

Wiley

Subject

Management of Technology and Innovation,Strategy and Management,Social Sciences (miscellaneous)

Reference63 articles.

1. Scripts for group model building

2. When visuals are boundary objects in system dynamics work

3. A Method for Simplification of Complex Group Causal Loop Diagrams Based on Endogenisation, Encapsulation and Order-Oriented Reduction

4. CBS2021.Stapeling en (multi)problematiek tijdens de coronapandemie [Accumulation and (multiple) problems during the corona pandemic].https://dashboards.cbs.nl/v3/stapeling_tijdens_de_coronapandemie/.

5. CBS2022.CBS Statline.https://opendata.cbs.nl/#/CBS/nl/dataset/82242NED/table?ts=1661525483306.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3