OrgML - a domain specific language for organisational decision-making
Barat, Souvik, Barn, Balbir ORCID: 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) |
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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. |
Useful Links: | |
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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