A Simulation-based Aid for Organisational Decision-making

Souvik Barat, Vinay Kulkarni, Tony Clark, Balbir Barn

Abstract

Effective decision-making of modern organisation often requires deep understanding of various aspects of organisation such as organisational goals, organisational structure, business-as-usual operational processes. The large size of the organisation, its socio-technical characteristics, and fast business dynamics make this endeavor challenging. Industry practice relies on human experts for comprehending various aspects of organisation thus making organisational decision-making a time-, effort- and intellectually-intensive endeavor. This paper proposes a model-based simulation approach to organisational decision-making. We illustrate how this is applied to a real life problem from software service industry.

References

  1. Barjis, J. (2008). Enterprise, organization, modeling, simulation: Putting pieces together. CEUR Workshop Proceedings, 338:1-5.
  2. Barros, T., Ameur-Boulifa, R., Cansado, A., Henrio, L., and Madelaine, E. (2009). Behavioural models for distributed fractal components. Annales des Telecommunications/Annals of Telecommunications, 64(1-2):25- 43.
  3. Bernus, P. and Schmidt, G. (2006). Architectures of information systems. In Handbook on Architectures of Information Systems, pages 1-9. Springer.
  4. Clark, T. and Barn, B. (2013). Goal driven architecture development using leap. Enterprise Modelling and Information Systems Architectures-An International Journal, 8(1):40-61.
  5. Hewitt, C. (2010). Actor model of computation: scalable robust information systems. arXiv preprint arXiv:1008.1459.
  6. Iacob, M., Jonkers, D. H., Lankhorst, M., Proper, E., and Quartel, D. D. (2012). Archimate 2.0 specification: The open group. Van Haren Publishing.
  7. Krogstie, J. (2008). Using eeml for combined goal and process oriented modeling: A case study. CEUR Workshop Proceedings, 337:112-129.
  8. Kulkarni, V., Barat, S., Clark, T., and Barn, B. (2015). Toward overcoming accidental complexity in organisational decision-making. In 17th Intl. Conf. on Model Driven Engineering Languages and Systems (MoDELS 15). IEEE.
  9. McDermott, T., Rouse, W., Goodman, S., and Loper, M. (2013). Multi-level modeling of complex sociotechnical systems. Procedia Computer Science, 16:1132-1141.
  10. Meadows, D. H. and Wright, D. (2008). Thinking in systems: A primer. Chelsea Green Publishing.
  11. Michelson, B. M. (2006). Event-driven architecture overview. Patricia Seybold Group, 2.
  12. Van Harmelen, F., Lifschitz, V., and Porter, B. (2008). Handbook of knowledge representation, volume 1. Elsevier.
  13. Yu, E., Strohmaier, M., and Deng, X. (2006). Exploring intentional modeling and analysis for enterprise architecture. 10th IEEE International Enterprise Distributed Object Computing Conference Workshops.
  14. Zachman, J. et al. (1987). A framework for information systems architecture. IBM systems journal, 26(3):276- 292.
Download


Paper Citation


in Harvard Style

Barat S., Kulkarni V., Clark T. and Barn B. (2016). A Simulation-based Aid for Organisational Decision-making . In Proceedings of the 11th International Joint Conference on Software Technologies - Volume 2: ICSOFT-PT, (ICSOFT 2016) ISBN 978-989-758-194-6, pages 109-116. DOI: 10.5220/0005992401090116


in Bibtex Style

@conference{icsoft-pt16,
author={Souvik Barat and Vinay Kulkarni and Tony Clark and Balbir Barn},
title={A Simulation-based Aid for Organisational Decision-making},
booktitle={Proceedings of the 11th International Joint Conference on Software Technologies - Volume 2: ICSOFT-PT, (ICSOFT 2016)},
year={2016},
pages={109-116},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005992401090116},
isbn={978-989-758-194-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Joint Conference on Software Technologies - Volume 2: ICSOFT-PT, (ICSOFT 2016)
TI - A Simulation-based Aid for Organisational Decision-making
SN - 978-989-758-194-6
AU - Barat S.
AU - Kulkarni V.
AU - Clark T.
AU - Barn B.
PY - 2016
SP - 109
EP - 116
DO - 10.5220/0005992401090116