Activity Systems Modelling as a Complex Systemic Approach to Develop Learning Partnerships Between Community Initiatives and Municipal Governments

ABSTRACT The paper explores activity systems modelling (ASM) as a complex systemic approach to fostering learning partnerships between community initiatives and municipal governments. It highlights the increasing role of community‐led initiatives in cocreating public value and the challenges of collaboration due to differing perspectives on governance, responsibility and public value. Drawing on Wright's (1999) interpretation of soft systems methodology (SSM), the study applies ASM—a contextualized adaptation of SSM—to foster structured dialogue and systemic reflection. A case study in Arnhem demonstrates how structured workshops helped align goals, overcome bureaucratic inertia and improve collaborative governance. The findings suggest that shared vocabulary development and boundary critiques are crucial for sustaining systemic change. However, institutional challenges, power dynamics and leadership transitions can hinder long‐term success. The study concludes that ASM enhances adaptive governance, but its effectiveness depends on structured facilitation, stakeholder commitment and institutional embedding.

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Publication Details

Journal
Systems Research and Behavioral Science
Published
2025-10-28
DOI
https://doi.org/10.1002/sres.3200
Primary Topic
Complex Systems and Decision Making
Type
article
Field-Weighted Citation Impact
0.00
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article

Activity Systems Modelling as a Complex Systemic Approach to Develop Learning Partnerships Between Community Initiatives and Municipal Governments

Peter Marks, Wouter Spekkink
Systems Research and Behavioral Science
Complex Systems and Decision Making
article

Activity Systems Modelling as a Complex Systemic Approach to Develop Learning Partnerships Between Community Initiatives and Municipal Governments

Peter Marks, Wouter Spekkink
article en

Abstract

ABSTRACT The paper explores activity systems modelling (ASM) as a complex systemic approach to fostering learning partnerships between community initiatives and municipal governments. It highlights the increasing role of community‐led initiatives in cocreating public value and the challenges of collaboration due to differing perspectives on governance, responsibility and public value. Drawing on Wright's (1999) interpretation of soft systems methodology (SSM), the study applies ASM—a contextualized adaptation of SSM—to foster structured dialogue and systemic reflection. A case study in Arnhem demonstrates how structured workshops helped align goals, overcome bureaucratic inertia and improve collaborative governance. The findings suggest that shared vocabulary development and boundary critiques are crucial for sustaining systemic change. However, institutional challenges, power dynamics and leadership transitions can hinder long‐term success. The study concludes that ASM enhances adaptive governance, but its effectiveness depends on structured facilitation, stakeholder commitment and institutional embedding.

Systems Research and Behavioral Science
Erasmus University Rotterdam (NL)
Openalex Percentile: Top 64%
Complex Systems and Decision Making
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Activity Systems Modelling as a Complex Systemic Approach to Develop Learning Partnerships Between Community Initiatives and Municipal Governments — Peter Marks, Wouter Spekkink · Systems Research and Behavioral Science (2025) | TGRS Research Map | TGRS