The University of Southampton
University of Southampton Institutional Repository

Identifying strategic action in highly politicised contexts using agent-based qualitative system dynamics

Identifying strategic action in highly politicised contexts using agent-based qualitative system dynamics
Identifying strategic action in highly politicised contexts using agent-based qualitative system dynamics
In the early phases of using system dynamics models to support strategic decision-making, the emphasis is on expressing information and physical flows. These aspects appropriately dominate those managed systems that can be thought of as being mechanistic. We suggest, however, that such an emphasis, to the exclusion of equally important system attributes such as power, leverage, influence and control, is inappropriate for a large class of problems involving agents and groups of agents in the system definition. Such politicized systems are ubiquitous, particularly in the strategic context, and in managing them it is necessary to take the political aspects of power into account at an early stage in the analysis. We present an approach to this class of problems, using a qualitative procedure based on influence diagrams. This method has been extensively and successfully used in consultancy to study the motivations and powers of agents and thereby produces naturally an output directed at action planning at the strategic level. While it is complementary to numerical system dynamics approaches, it is more successful in deriving components of strategic action directly from analysis.
strategy, soft systems, qualitative modelling, political analysis, influence diagrams, systems dynamics
0160-5682
787-798
Powell, J.H.
5b4db071-6f39-4059-a2b2-b751b70291f0
Coyle, R.G.
3743bd77-9010-4708-9dd8-bc2875697ed0
Powell, J.H.
5b4db071-6f39-4059-a2b2-b751b70291f0
Coyle, R.G.
3743bd77-9010-4708-9dd8-bc2875697ed0

Powell, J.H. and Coyle, R.G. (2005) Identifying strategic action in highly politicised contexts using agent-based qualitative system dynamics. Journal of the Operational Research Society, 56 (7), 787-798. (doi:10.1057/palgrave.jors.2601869).

Record type: Article

Abstract

In the early phases of using system dynamics models to support strategic decision-making, the emphasis is on expressing information and physical flows. These aspects appropriately dominate those managed systems that can be thought of as being mechanistic. We suggest, however, that such an emphasis, to the exclusion of equally important system attributes such as power, leverage, influence and control, is inappropriate for a large class of problems involving agents and groups of agents in the system definition. Such politicized systems are ubiquitous, particularly in the strategic context, and in managing them it is necessary to take the political aspects of power into account at an early stage in the analysis. We present an approach to this class of problems, using a qualitative procedure based on influence diagrams. This method has been extensively and successfully used in consultancy to study the motivations and powers of agents and thereby produces naturally an output directed at action planning at the strategic level. While it is complementary to numerical system dynamics approaches, it is more successful in deriving components of strategic action directly from analysis.

Full text not available from this repository.

More information

Published date: 2005
Keywords: strategy, soft systems, qualitative modelling, political analysis, influence diagrams, systems dynamics

Identifiers

Local EPrints ID: 36717
URI: http://eprints.soton.ac.uk/id/eprint/36717
ISSN: 0160-5682
PURE UUID: b99c0d13-f03e-40bb-9ec4-8bb978f82451

Catalogue record

Date deposited: 20 Jun 2006
Last modified: 15 Jul 2019 19:04

Export record

Altmetrics

Contributors

Author: J.H. Powell
Author: R.G. Coyle

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×