OrgML - a domain specific language for organisational decision-making

Barat, Souvik, Barn, Balbir ORCID logoORCID: https://orcid.org/0000-0002-7251-5033, Clark, Tony and Kulkarni, Vinay (2020) OrgML - a domain specific language for organisational decision-making. Grabis, J and Bork, D, eds. The Practice of Enterprise Modeling. Lecture Notes in Business Information Processing book series (LNBIP, volume 400). In: 13th IFIP Working Conference (PoEM 2020), 25-27 Nov 2020, Riga, Latvia. ISBN 9783030634780, e-ISBN 9783030634797. ISSN 1865-1348 [Conference or Workshop Item] (doi:10.1007/978-3-030-63479-7_11)

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Abstract

Effective decision-making based on precise understanding of an organisation is critical for modern organisations to stay competitive in a dynamic and uncertain business environment. However, the state-of-the-art technologies that are relevant in this context are not adequate to capture and quantitatively analyse complex organisations. This paper discerns the necessary information for an organisational decision-making from management viewpoint, discusses inadequacy of the existing enterprise modelling and specification techniques, proposes a domain specific language to capture the necessary information in machine processable form, and demonstrates how the collected information can be used for a simulation-based evidence-driven organisational decision-making.

Item Type: Conference or Workshop Item (Paper)
Keywords (uncontrolled): Organisational decision making Enterprise modelling Enterprise simulation Domain specific language What-if analysis
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 31429
Notes on copyright: The final authenticated version is available online at https://doi.org/10.1007/978-3-030-63479-7_11.
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Depositing User: Balbir Barn
Date Deposited: 20 Nov 2020 12:29
Last Modified: 29 Nov 2022 18:10
URI: https://eprints.mdx.ac.uk/id/eprint/31429

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