TY - GEN
T1 - OrgML - A Domain Specific Language for Organisational Decision-Making
AU - Barat, Souvik
AU - Barn, Balbir
AU - Clark, Tony
AU - Kulkarni, Vinay
PY - 2020/11/18
Y1 - 2020/11/18
N2 - 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.
AB - 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.
KW - Domain specific language
KW - Enterprise modelling
KW - Enterprise simulation
KW - Organisational decision making
KW - What-if analysis
UR - http://www.scopus.com/inward/record.url?scp=85097057568&partnerID=8YFLogxK
UR - https://link.springer.com/chapter/10.1007%2F978-3-030-63479-7_11
U2 - 10.1007/978-3-030-63479-7_11
DO - 10.1007/978-3-030-63479-7_11
M3 - Conference publication
AN - SCOPUS:85097057568
SN - 9783030634780
VL - 400
T3 - Lecture Notes in Business Information Processing
SP - 155
EP - 170
BT - The Practice of Enterprise Modeling - 13th IFIP Working Conference, PoEM 2020, Proceedings
A2 - Grabis, Jānis
A2 - Bork, Dominik
PB - Springer
T2 - 13th IFIP Working Conference on the Practice of Enterprise Modeling, PoEM 2020
Y2 - 25 November 2020 through 27 November 2020
ER -