The University of Southampton
University of Southampton Institutional Repository

An evolutionary approach to network enabled capability

Walker, Guy H., Stanton, Neville A., Salmon, Paul M. and Jenkins, Daniel P. (2009) An evolutionary approach to network enabled capability International Journal of Industrial Ergonomics, 39, (2), pp. 303-312. (doi:10.1016/j.ergon.2008.02.016).

Record type: Article

Abstract

Network enabled capability (NEC) is a new form of command and control and this paper asks whether it is an end product or an initial condition. The traditional top-down approach to design in which ‘we, the designers, are designing something for you, the users’, tacitly assumes the former. Yet experience in the field amply demonstrates the inevitability of human adaptability, something that the commercial world is beginning to exploit under headings of ‘peer production’ or ‘mass collaboration’. This paper takes these insights and aims to advance an agenda for an evolutionary approach to NEC system design. A longitudinal study is presented to examine user adaptation when faced with two initial conditions: NEC and classic command and control. The results suggest that NEC does indeed fulfill its ambitions in terms of agility and coping with complexity, but in an unanticipated way. Despite having the facility for peer-to-peer interaction in the NEC condition, the team chose not to use it; in effect, they created a kind of high speed hierarchy. The outcomes and processes of adaptation are examined using the Event Analysis for Systemic Teamwork (EAST) method. An evolutionary approach to NEC system design presents itself as a promising avenue for future research.

Full text not available from this repository.

More information

Published date: 2009
Keywords: command and control, complexity, sociotechnical systems

Identifiers

Local EPrints ID: 73980
URI: http://eprints.soton.ac.uk/id/eprint/73980
ISSN: 0169-8141
PURE UUID: d395f775-6a9e-429f-9577-0ed1f5b92e8b

Catalogue record

Date deposited: 11 Mar 2010
Last modified: 18 Jul 2017 23:47

Export record

Altmetrics

Contributors

Author: Guy H. Walker
Author: Paul M. Salmon
Author: Daniel P. Jenkins

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.

×