Bringing System Dynamics into Action Research
Licentiatavhandling, 2017

System Dynamics simulation is a computer-aided approach to policy analysis and design, often carried out by external experts in simulation. System Dynamics is particularly useful in complicated and complex situations, such as healthcare. However, research has shown that few models in healthcare are implemented. Within System Dynamics there are methods for group model building or participatory modelling, where simulation models generate insights for organizational learning. The aim of this thesis is to study how System Dynamics can be a useful tool for healthcare practitioners in action research settings, building more on the needs and issues of a group. Thirteen cases are described in detail to illustrate the what is similar and different from a process / action research perspective, so that general conclusions can be made. The thesis concludes that action research approaches are useful when more time is spent on initial stages identifying issues relevant to the participants. Using Causal Loop Diagrams creates shared maps and understanding of how issues are connected. The shared understanding is increased through experimentation and learning from simulation models so that the group can converge on solutions that they agree on and thus lower the threshold for implementation.

process consultation

Operations Research

simulation

action research

modelling

System Dynamics

healthcare

Seminarierum 2456 Korsvägen, Vera Sandbergs allé 8
Opponent: Pål I. Davidsen, University of Bergen, Norway

Författare

Paul Holmström

Chalmers, Teknikens ekonomi och organisation, Innovation and R&D Management

Ämneskategorier

Annan data- och informationsvetenskap

Annan teknik

Annan medicin och hälsovetenskap

Styrkeområden

Livsvetenskaper och teknik (2010-2018)

Licentiate thesis, report - Department of Technology of Management and Economics, Chalmers University of Technology: L2017:086

Utgivare

Chalmers

Seminarierum 2456 Korsvägen, Vera Sandbergs allé 8

Opponent: Pål I. Davidsen, University of Bergen, Norway

Mer information

Skapat

2017-03-25