OrgML - A Domain Specific Language for Organisational Decision-Making - The Practice of Enterprise Modeling Access content directly
Conference Papers Year : 2020

OrgML - A Domain Specific Language for Organisational Decision-Making

Souvik Barat
  • Function : Author
  • PersonId : 1024271
Balbir Barn
  • Function : Author
  • PersonId : 1023639
Tony Clark
  • Function : Author
  • PersonId : 1117164
Vinay Kulkarni
  • Function : Author
  • PersonId : 1024272

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.
Fichier principal
Vignette du fichier
500489_1_En_11_Chapter.pdf (889.76 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03434654 , version 1 (18-11-2021)

Licence

Attribution

Identifiers

Cite

Souvik Barat, Balbir Barn, Tony Clark, Vinay Kulkarni. OrgML - A Domain Specific Language for Organisational Decision-Making. 13th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling (PoEM 2020), Nov 2020, Riga, Latvia. pp.155-170, ⟨10.1007/978-3-030-63479-7_11⟩. ⟨hal-03434654⟩
39 View
27 Download

Altmetric

Share

Gmail Facebook X LinkedIn More