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Structural dominance analysis and theory building in system dynamics
Author(s) -
Kampmann Christian Erik,
Oliva Rogelio
Publication year - 2008
Publication title -
systems research and behavioral science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 45
eISSN - 1099-1743
pISSN - 1092-7026
DOI - 10.1002/sres.909
Subject(s) - inference , computer science , eigenvalues and eigenvectors , simple (philosophy) , foundation (evidence) , strengths and weaknesses , dominance (genetics) , system dynamics , dynamics (music) , management science , artificial intelligence , epistemology , engineering , sociology , pedagogy , philosophy , biochemistry , physics , chemistry , archaeology , quantum mechanics , gene , history
We provide a review of different approaches to linking model structure to observed behaviour with a particular view towards using models for theory building. We argue that theory building cannot be based upon pure simulation and model building alone: the inference from system dynamics models invariably uses concepts and analogies from simple feedback systems and models. Strengthening the analytical foundation for this inference will therefore have a direct impact on the strength of system dynamics as a theory‐building tool. We identify four approaches to establish this link (traditional, pathway participation, eigenvalue and eigenvector), assess the strengths and weaknesses of each approach, and point to challenges and tasks ahead. We find that the eigenvalue and eigenvector approaches carry significant potential but that a more solid theoretical foundation of the method is required. However, since a ‘grand unified theory’ will never be possible, all tools will be based on approximations and it is only in their practical use that we can discover their real value. Copyright © 2008 John Wiley & Sons, Ltd.