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Building future scenarios using cognitive mapping

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journal contribution
posted on 2013-03-28, 11:43 authored by Chris GoodierChris Goodier, Robby SoetantoRobby Soetanto
A participatory approach for developing future scenarios through cognitive maps as a visual representation of mental models is presented. Applying long-term future visioning techniques in a workshop setting has traditionally been a significant challenge for construction industry practitioners with a predominantly short-term, project-based approach to day-to-day operational responsibilities. Six future scenario cognitive maps are presented to illustrate the process. The maps were digitised from A1-sized papers using Decision Explorer software. Several key characteristics of the resulting cognitive maps and lessons learnt for the organisation of industry-based workshops are discussed. The main benefits are derived from the interaction between participants during the mapping process whereby future issues and their interconnectivities are discussed. Limitations of the findings and further work are presented.

Funding

The maps presented here were developed for the project ‘Sustained competitiveness in the UK construction sector: a fresh perspective’, or the ‘Big Ideas’, a UK government-sponsored collaborative research project between the Innovative Manufacturing Research Centres at the universities of Loughborough, Reading and Salford. The workshop was a joint initiative between Loughborough University and the BRE, UK

History

School

  • Architecture, Building and Civil Engineering

Citation

GOODIER, C.I. and SOETANTO, R., 2013. Building future scenarios using cognitive mapping. Journal of Maps, 9 (2), pp. 203-217.

Publisher

Routledge, Taylor and Francis Group (© 2013 Chris Ian Goodier)

Version

  • AM (Accepted Manuscript)

Publication date

2013

Notes

This article was published in the Journal of Maps Routledge, Taylor and Francis Group (© 2013 Chris Ian Goodier) and the definitive version is available at: http://dx.doi.org/10.1080/17445647.2013.770997

eISSN

1744-5647

Language

  • en