Actor based behavioural simulation as an aid for organisational decision making

Barat, Souvik (2018) Actor based behavioural simulation as an aid for organisational decision making. PhD thesis, Middlesex University.

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Abstract

Decision-making is a critical activity for most of the modern organizations to stay competitive in rapidly changing business environment. Effective organisational decision-making requires deep understanding of various organisational aspects such as its goals, structure, business-as-usual operational processes, environment where it operates, and inherent characteristics of the change drivers that may impact the organisation. The size of a modern organisation, its socio-technical characteristics, inherent uncertainty, volatile operating environment, and prohibitively high cost of the incorrect decisions make decision-making a challenging endeavor.

While the enterprise modelling and simulation technologies have evolved into a mature discipline for understanding a range of engineering, defense and control systems, their application in organisational decision-making is considerably low. Current organisational decision-making approaches that are prevalent in practice are largely qualitative. Moreover, they mostly rely on human experts who are often aided with the primitive technologies such as spreadsheets and
visual diagrams.

This thesis argues that the existing modelling and simulation technologies are neither suitable to represent organisation and decision artifacts in a comprehensive and machine-interpretable form nor do they comprehensively address the analysis needs. An approach that advances the modelling abstraction and analysis machinery for organisational decision-making is proposed. In particular, this thesis proposes a domain specific language to represent relevant aspects of an organisation for decision-making, establishes the relevance of a bottom-up simulation technique as a means for analysis, and introduces a method to utilise the proposed modelling abstraction, analysis technique, and analysis machinery in an effective and convenient manner.

Item Type: Thesis (PhD)
Research Areas: A. > School of Science and Technology > Computer Science
B. > Theses
Item ID: 26456
Depositing User: Brigitte Joerg
Date Deposited: 23 Apr 2019 08:36
Last Modified: 01 May 2019 19:05
URI: https://eprints.mdx.ac.uk/id/eprint/26456

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