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: 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)

Preview

PDF - Final accepted version (with author's formatting)
Download (968kB) | Preview

Official URL: https://doi.org/10.1007/978-3-319-24626-0_7

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:	Middlesex University Expert Profile Publisher Organisation
Depositing User:	Balbir Barn
Date Deposited:	01 Jun 2015 15:17
Last Modified:	31 May 2019 05:23
URI:	https://eprints.mdx.ac.uk/id/eprint/16684

Actions (login required)

View Item

Altmetric

CORE (COnnecting REpositories)

Statistics

Full text downloads (NB count will be zero if no full text documents are attached to the record)

Downloads per month over the past year