Organisational plasticity: can we really model human-agent behaviours?

Richards, D ORCID: https://orcid.org/0000-0002-7176-0440, 2021. Organisational plasticity: can we really model human-agent behaviours? Evidence-Based HRM, 9 (2), pp. 181-191. ISSN 2049-3983

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Abstract

The ability for an organisation to adapt and respond to external pressures is a beneficial activity towards optimising efficiency and increasing the likelihood of achieving set goals. It can also be suggested that this very ability to adapt to one's surroundings is one of the key factors of resilience. The nature of dynamically responding to sudden change and then to return to a state that is efficient may be termed as possessing the characteristic of plasticity. Uses of agent-based systems in assisting in organisational processes may have a hand in facilitating an organisations's plasticity, and computational modelling has often been used to try and predict both agent and human behaviour. Such models also promise the ability to examine the dynamics of organisational plasticity through the direct manipulation of key factors. This paper discusses the use of such models in application to organisational plasticity and in particular the relevance to human behaviour and perception of agent-based modelling. The uses of analogies for explaining organisational plasticity is also discussed, with particular discussion around the use of modelling. When we consider the means by which we can adopt theories to explain this type of behaviour, models tend to focus on aspects of predictability. This in turn loses a degree of realism when we consider the complex nature of human behaviour, and more so that of human-agent behaviour.

Item Type:	Journal article
Publication Title:	Evidence-Based HRM
Creators:	Richards, D.
Publisher:	Emerald
Date:	12 May 2021
Volume:	9
Number:	2
ISSN:	2049-3983
Identifiers:	Number Type 10.1108/EBHRM-09-2019-0090 DOI 1309167 Other
Divisions:	Schools > School of Science and Technology
Record created by:	Linda Sullivan
Date Added:	24 Mar 2020 12:35
Last Modified:	26 Jul 2021 16:57
URI:	https://irep.ntu.ac.uk/id/eprint/39459

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