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System dynamics as model‐based theory building
Author(s) -
Schwaninger Markus,
Grösser Stefan
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.914
Subject(s) - perspective (graphical) , model building , quality (philosophy) , set (abstract data type) , heuristic , computer science , system dynamics , process (computing) , field (mathematics) , building model , systems theory , model theory , management science , artificial intelligence , engineering , mathematics , epistemology , simulation , physics , philosophy , discrete mathematics , quantum mechanics , pure mathematics , programming language , operating system
Abstract This paper introduces model‐based theory building as a feature of system dynamics (SD) with large potential. It presents a systemic approach to actualizing that potential, thereby opening up a new perspective on theory building in the social sciences. The question addressed is if and how SD enables the construction of high‐quality theories. This contribution is based on field experiment type projects which have been focused on model‐based theory building, specifically the construction of a middle‐range theory—not a general one. The process of model building and validation is analysed from a theory‐building perspective. The resulting theory is evaluated by means of a set of criteria for high‐quality theories. As a conclusion, the insights thus gained are presented and condensed in a tentative set of heuristic principles for model‐based theory building. Copyright © 2008 John Wiley & Sons, Ltd.