Extending the Meta Model for Enterprise Systems Dynamics from a Software Tooling Perspective

Huda Hussain, Marne de Vries

2023

Abstract

Literature indicates that systems dynamics (SD) has the potential of modelling the behaviour of a system to understand enterprise behaviour and the effect of enterprise policies to address multiple performance areas. Since SD concepts are ill-defined, a meta model for enterprise systems dynamics (MMESD) was developed, using the general ontology specification language (GOSL). The first version of the MMESD was applied to an existing case within the car industry, where the case was modelled with the software named Vensim. The MMESD was developed without considering meta model implementations within multiple SD software tools. This article investigates the use of SD concepts in different SD software tools, highlighting the differences in the use of symbolic formalisms. The main contribution of the paper is extracting new concepts when we compare existing software tools, identifying concepts that are not already reflected in the first version of MMESD. We use the results to further extend the first version of MMESD, and apply an extended second version of MMESD to an existing teacher education faculties case in Croatia as a demonstration. The paper concludes with suggestions for future research.

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Paper Citation


in Harvard Style

Hussain H. and de Vries M. (2023). Extending the Meta Model for Enterprise Systems Dynamics from a Software Tooling Perspective. In Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD; ISBN 978-989-758-671-2, SciTePress, pages 50-61. DOI: 10.5220/0012173000003598


in Bibtex Style

@conference{keod23,
author={Huda Hussain and Marne de Vries},
title={Extending the Meta Model for Enterprise Systems Dynamics from a Software Tooling Perspective},
booktitle={Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD},
year={2023},
pages={50-61},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012173000003598},
isbn={978-989-758-671-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD
TI - Extending the Meta Model for Enterprise Systems Dynamics from a Software Tooling Perspective
SN - 978-989-758-671-2
AU - Hussain H.
AU - de Vries M.
PY - 2023
SP - 50
EP - 61
DO - 10.5220/0012173000003598
PB - SciTePress