Institutional Role Model (IRM)

The Institutional Role Model (IRM) is an original theoretical framework developed by Wolfgang H. Schulz for the role-based analysis of governance, coordination, and interaction in complex socio-technical and economic systems. The IRM shifts analytical focus from organizations and technologies to institutional roles and their structured interactions, enabling a systematic understanding of governance architectures in mobility, digital platforms, and networked industries.


The Institutional Role Model (IRM) is a role-based governance and economic system architecture framework. It is not related to “Integrated Risk Management (IRM)” or “Impact Readiness Matrix (IRM).

Conceptual Core

At its core, the Institutional Role Model conceptualizes complex systems through institutional roles rather than organizational units. Roles are defined by their functional position, responsibilities, and interaction patterns within a given governance setting. By modeling interactions between roles, the IRM allows for the analysis of coordination mechanisms, incentive structures, and systemic constraints across institutional boundaries. This approach is particularly suited for environments characterized by distributed authority, regulatory plurality, and technological interdependence.

IRM-Matrix

The IRM-Matrix is a structured graphical representation of the Institutional Role Model. It serves as a core methodological instrument for modeling, analyzing, and comparing role constellations and interaction patterns within complex governance settings. Beyond its general analytical function, the IRM-Matrix can be systematically extended for specific applications, including the analysis of safety-relevant scenarios, regulatory interactions, and data-driven governance architectures. In such applications, the matrix is used to operationalize role-based perspectives, integrate domain-specific criteria, and support structured scenario analysis. While the Institutional Role Model provides the underlying theoretical framework, the IRM-Matrix enables its applied use in concrete analytical, policy-oriented, and research contexts.

Development and References

The conceptual idea underlying the Institutional Role Model (IRM) was first introduced by the author in an unpublished working paper focusing on non-discriminatory cooperation and institutional coordination: 


Schulz, W. H. (2011). Institutional Economic Role Model – A New Approach for Non-Discriminatory Cooperation. Mimeo. 


An initial operationalization of the IRM, including an early matrix-based representation, was developed in the context of applied research on cooperative transport systems: 


Schulz, W. H., Joisten, N., & Mainka, M. (2013). Entwicklung eines Konzeptes für institutionelle Rollenmodelle als Beitrag zur Einführung kooperativer Systeme im Straßenverkehr. BASt Research Study. 


Schulz, W. H., Joisten, N., & Arnegger, B. (2019). Development of the Institutional Role Model as a Contribution to the Implementation of Co-Operative Transport Systems. SSRN Working Paper No. 3421107. 


Subsequently, the Institutional Role Model was further consolidated and extended as an independent theoretical framework, including system-dynamic perspectives, applications to organizational transformation, and complexity reduction: 


Schulz, W. H., Franck, O., & Smolka, S. (2021). Die Theorie der institutionellen Rollenmodelle als Grundlagentheorie für Transformationsprozesse in Organisationen. Springer. 


Schulz, W. H., Franck, O., & Smolka, S. (2021). Die Theorie der institutionellen Rollenmodelle als Restrukturierungsansatz zur Bewältigung der COVID-19 Krise. Springer Gabler. 


Schulz, W. H., & Franck, O. (2022). The Institutional Role Model: A System-Dynamic Approach to Reduce Complexity. International Journal of Sustainable Development & Planning, 17(2). 


More recent work applies and extends the IRM to contexts of hyper-cooperation, digital economies, federated data spaces, and advanced mobility systems: 


Schulz, W. H., Geilenberg, V., & Kleis, H. (2025). Institutional Framework for Hyper-Cooperation: Dynamics in the Digital Economy. International Journal of Sustainable Development & Planning, 20(1). 


Gessler, J., Rychlik, H., & Schulz, W. H. (2024). Integrating Advanced Mobility Services in Federated Data Spaces: An Exploration of Organizational Roles. Springer Nature. 


Kleis, H., & Schulz, W. H. (2024). From Complexity to Cooperation: Solving Institutional Challenges in Digital Road Projects. Edelweiss Applied Science and Technology, 8(6).

Applied Extensions and Economic System Architecture

In addition, the Institutional Role Model and the IRM-Matrix have been applied and further refined in the context of European GAIA-X projects, including GAIA-X 4 AMS (Advanced Mobility Services), GAIA-X ROMS (Support und Remote-Operation automatisierter und vernetzter Mobility Services), and moveID (Dezentrale digitale Fahrzeugidentitäten in der hochvernetzten Verkehrsumgebung).


Within these projects, the IRM framework has been used to design and analyze economic system architectures for federated data ecosystems, with a particular focus on role-based governance, incentive compatibility, and the coordination of public and private actors in data-driven mobility services.


Licensing

Institutional Role Model (IRM) 


Institutional Role Model (IRM) © 2025 by Wolfgang H. Schulz is licensed under CC BY 4.0. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/


IRM-Matrix 


IRM-Matrix (Institutional Role Model Matrix) © 2025 by Wolfgang H. Schulz is licensed under CC BY-NC-ND 4.0. To view a copy of this license, visit https://creativecommons.org/licenses/by-nc-nd/4.0/

Use in Research, Teaching, and Policy Contexts

The Institutional Role Model (IRM) is used as a methodological framework in academic research, teaching, and applied policy analysis. In research and applied projects, the IRM supports the design and evaluation of role-based governance structures and economic system architectures. In teaching contexts, the IRM is applied to illustrate institutional coordination, complexity reduction, and governance challenges in mobility, digital platforms, and data-driven ecosystems. In policy and advisory contexts, the IRM provides a structured approach for analyzing institutional interactions and incentive structures.

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