OrgML - A Domain Specific Language for Organisational Decision-Making

Souvik Barat*, Balbir Barn, Tony Clark, Vinay Kulkarni

*Corresponding author for this work

Research output: Chapter in Book/Published conference outputConference publication

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.

Original languageEnglish
Title of host publicationThe Practice of Enterprise Modeling - 13th IFIP Working Conference, PoEM 2020, Proceedings
EditorsJānis Grabis, Dominik Bork
PublisherSpringer
Pages155-170
Number of pages16
Volume400
ISBN (Print)9783030634780
DOIs
Publication statusPublished - 18 Nov 2020
Event13th IFIP Working Conference on the Practice of Enterprise Modeling, PoEM 2020 - Riga, Latvia
Duration: 25 Nov 202027 Nov 2020

Publication series

NameLecture Notes in Business Information Processing
Volume400
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356

Conference

Conference13th IFIP Working Conference on the Practice of Enterprise Modeling, PoEM 2020
CountryLatvia
CityRiga
Period25/11/2027/11/20

Keywords

  • Domain specific language
  • Enterprise modelling
  • Enterprise simulation
  • Organisational decision making
  • What-if analysis

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