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Authors: Souvik Barat 1 ; Vinay Kulkarni 1 ; Tony Clark 2 and Balbir Barn 3

Affiliations: 1 Tata Consultancy Services Research, India ; 2 Sheffield Hallam University, United Kingdom ; 3 Middlesex University, United Kingdom

Keyword(s): Organisational Decision Making, Enterprise Modelling Languages, Meta Modelling, Simulation.

Related Ontology Subjects/Areas/Topics: Domain-Specific Languages ; MetaModeling ; Models ; Paradigm Trends ; Software Engineering

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.


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Paper citation in several formats:
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 (ICSOFT 2016) - ICSOFT-PT; ISBN 978-989-758-194-6, SciTePress, pages 109-116. DOI: 10.5220/0005992401090116

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 (ICSOFT 2016) - ICSOFT-PT},


JO - Proceedings of the 11th International Joint Conference on Software Technologies (ICSOFT 2016) - ICSOFT-PT
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
PB - SciTePress