System dynamics applied in enterprise engineering - a systematic literature review
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Date
Authors
Hussain, Huda
De Vries, Marne
Journal Title
Journal ISSN
Volume Title
Publisher
Emerald
Abstract
PURPOSE :
This study aims to investigate the combined use of System Dynamics (SD) applications in Enterprise Engineering (EE) research and practice. SD application in EE is becoming widely accepted as a tool to support decision-making processes and for capturing relationships within enterprises.
DESIGN/METHODOLOGY/APPROACH :
A systematic literature review (SLR) is conducted using a standard SLR method to provide a comprehensive review of existing literature. The search was conducted on ten platforms identifying 30 publications which were analysed through the use and development of a codebook.
FINDINGS :
The SLR showed that 90% of the result set consisted of peer-reviewed academic conferences and journal papers. The SLR identified a highly dispersed author set of 83 authors. Amongst these authors, Vinay Kulkarni was an active author who has co-authored up to four publications in this research area. The analysis further revealed that the combined use of SD applications and EE is an emerging research area that still needs to develop in maturity. While all phases of EE have received attention, the current research work is more focused on the design phase. The important gap between model development and implementation is identified.
ORIGINALITY/VALUE :
The study elucidates the existing status of interdisciplinary research combining techniques from the SD and EE disciplines, suggesting future research topics that combine the strengths of these existing disciplines.
Description
Keywords
Enterprise engineering, System dynamics, Causal loop diagram, Cause and effect analysis, Stock and flow diagram, SDG-09: Industry, innovation and infrastructure
Sustainable Development Goals
SDG-09: Industry, innovation and infrastructure
Citation
Hussain, H. and De Vries, M. (2025), "System dynamics applied in enterprise engineering – a systematic literature review", Journal of Modelling in Management, Vol. 20 No. 1, pp. 1-29. https://doi.org/10.1108/JM2-05-2023-0082.