Stockholm university

Research project Enterprise Modelling of Organisational Rules in Complex Adaptive Systems

Organisations are governed by complex webs of rules and regulations. The aim of this PhD project is to design an enterprise modelling method that helps organisations comprehend and navigate these systems.

Illustration of a red paragraph in a white maze.
Photo: Andrey Popov/Mostphotos.

Already in 1893, the French sociologist Émile Durkheim observed that “domestic law, from being originally simple, has become increasingly complex”. Today’s organisations have to navigate a dense web of rules and legislation, especially in heavily regulated sectors such as healthcare.

The internal and external rules that constrain an organisation – together with the actors that create, interpret, and implement them – form multi-level organisational rule systems. These systems are hard to overview and comprehend, even for experts.

This PhD project aims to design an enterprise modelling method to help non-experts to make sense of this complexity. The research is grounded in complex adaptive systems theory. It recognizes the messy and non-deterministic nature of organisational reality, and that rules become alive through the actions of agents.

The project is partly carried out in the context of Health Data Sweden (HDS), a European digital innovation hub.

This is Jöran Lindeberg’s PhD project. Martin Henkel is the main supervisor, Eric-Oluf Svee is the co-supervisor.

Project members

Project managers

Jöran Lindeberg

PhD student

Department of Computer and Systems Sciences
porträtt på Jöran Lindeberg

Martin Henkel

Senior Lecturer, Associate Professor

Department of Computer and Systems Sciences
Martin

Eric Svee

Senior Lecturer

Department of Computer and Systems Sciences
Eric-Oluf Svee

Publications

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