A wide-spectrum approach to modelling and analysis of organisation for machine-assisted decision-making

Kulkarni, Vinay, Barat, Souvik, Clark, Tony and Barn, Balbir ORCID logoORCID: https://orcid.org/0000-0002-7251-5033 (2015) A wide-spectrum approach to modelling and analysis of organisation for machine-assisted decision-making. Enterprise and Organizational Modeling and Simulation: 11th International Workshop, EOMAS 2015, Held at CAiSE 2015, Stockholm, Sweden, June 8-9, 2015, Selected Papers. In: 11th International Workshop on Enterprise & Organizational Modeling and Simulation (EOMAS 2015), 08-09 Jun 2015, Stockholm, Sweden. ISBN 9783319246253. ISSN 1865-1348 [Conference or Workshop Item] (doi:10.1007/978-3-319-24626-0_7)

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Abstract

This paper describes a modeling approach that helps to represent necessary aspects of complex socio-technical systems, such as organization, in an integrated form and provides a simulation technique for analyzing these organi-sations. An actor-based language is introduced and compared to a conventional simulation approach (Stock-and-Flow) by simulating aspects of a software ser-vices company.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Paper published as:
Kulkarni V., Barat S., Clark T., Barn B. (2015) A Wide-Spectrum Approach to Modelling and Analysis of Organisation for Machine-Assisted Decision-Making. In: Barjis J., Pergl R., Babkin E. (eds) Enterprise and Organizational Modeling and Simulation. EOMAS 2015. Lecture Notes in Business Information Processing, vol 231. Springer, Cham
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 16684
Notes on copyright: This is an author accepted manuscript version of a paper published in Enterprise and Organizational Modeling and Simulation: 11th International Workshop, EOMAS 2015, Held at CAiSE 2015, Stockholm, Sweden, June 8-9, 2015, Selected Papers. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-24626-0_7
Useful Links:
Depositing User: Balbir Barn
Date Deposited: 01 Jun 2015 15:17
Last Modified: 29 Nov 2022 22:44
URI: https://eprints.mdx.ac.uk/id/eprint/16684

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