Using soft systems methodology to improve the colour forecasting process

Tracy Cassidy, Tom Cassidy

Research output: Contribution to specialist publicationArticle

Abstract

Colour forecasting is a process where attempts are made to accurately forecast colour for fashion-related products that consumers will purchase in the near future, usually two years ahead. Seasonal colours are recognised as a powerful driver of sales. Currently trend forecasts are marketed and sold globally. The information is broad and generalised and does not take into account colour preferences. In the study the anticipation of consumer acceptance was identified as the weakness of the process and an improved system model was developed replacing the anticipation stage with consumer colour acceptance data. The improved model is considered highly beneficial for fashion-related industries to adopt in order to increase their competitiveness in the global market and to assist waste reduction (unwanted products) that impact on the environment. In this paper the development of the two models is presented and discussed in an attempt to purposely promote the usefulness of soft systems methodology for design research.
LanguageEnglish
Pages27-50
Number of pages24
Volume7
Specialist publicationJournal of the International Colour Association
Publication statusPublished - 28 Mar 2012
Externally publishedYes

Fingerprint

Soft systems methodology
Anticipation
Acceptance
Competitiveness
Design research
System model
Global market
Purchase
Usefulness
Consumer products
Waste reduction
Industry

Cite this

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Using soft systems methodology to improve the colour forecasting process. / Cassidy, Tracy; Cassidy, Tom.

In: Journal of the International Colour Association, Vol. 7, 28.03.2012, p. 27-50.

Research output: Contribution to specialist publicationArticle

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