The use of structured relationship modelling techniques as a tool to elicit customizable product features

The current article discusses a procedure for the elicitation of product requirements from a target group of users. The use of the method to help develop products with customizable elements is evaluated as this is one area in which this procedure is considered effective. The technique of forming a s...

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Main Authors: David F. Barrass, Jonathan Roberts, Roy Jones, Richard J.M. Hague, Phill M. Dickens
Format: Default Article
Published: 2008
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Online Access:https://hdl.handle.net/2134/4739
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id rr-article-9575912
record_format Figshare
spelling rr-article-95759122008-01-01T00:00:00Z The use of structured relationship modelling techniques as a tool to elicit customizable product features David F. Barrass (7202675) Jonathan Roberts (1248243) Roy Jones (3539210) Richard J.M. Hague (7125899) Phill M. Dickens (7153313) Mechanical engineering not elsewhere classified Design Rapid manufacturing Customization Tennis Perception Mechanical Engineering not elsewhere classified Mechanical Engineering The current article discusses a procedure for the elicitation of product requirements from a target group of users. The use of the method to help develop products with customizable elements is evaluated as this is one area in which this procedure is considered effective. The technique of forming a structured relationship model uses open-ended questions to elicit subject’s sensations when using the product under investigation. Inductive content analysis is then performed on the responses to allow a structured relationship model to be developed. 2008-01-01T00:00:00Z Text Journal contribution 2134/4739 https://figshare.com/articles/journal_contribution/The_use_of_structured_relationship_modelling_techniques_as_a_tool_to_elicit_customizable_product_features/9575912 CC BY-NC-ND 4.0
institution Loughborough University
collection Figshare
topic Mechanical engineering not elsewhere classified
Design
Rapid manufacturing
Customization
Tennis
Perception
Mechanical Engineering not elsewhere classified
Mechanical Engineering
spellingShingle Mechanical engineering not elsewhere classified
Design
Rapid manufacturing
Customization
Tennis
Perception
Mechanical Engineering not elsewhere classified
Mechanical Engineering
David F. Barrass
Jonathan Roberts
Roy Jones
Richard J.M. Hague
Phill M. Dickens
The use of structured relationship modelling techniques as a tool to elicit customizable product features
description The current article discusses a procedure for the elicitation of product requirements from a target group of users. The use of the method to help develop products with customizable elements is evaluated as this is one area in which this procedure is considered effective. The technique of forming a structured relationship model uses open-ended questions to elicit subject’s sensations when using the product under investigation. Inductive content analysis is then performed on the responses to allow a structured relationship model to be developed.
format Default
Article
author David F. Barrass
Jonathan Roberts
Roy Jones
Richard J.M. Hague
Phill M. Dickens
author_facet David F. Barrass
Jonathan Roberts
Roy Jones
Richard J.M. Hague
Phill M. Dickens
author_sort David F. Barrass (7202675)
title The use of structured relationship modelling techniques as a tool to elicit customizable product features
title_short The use of structured relationship modelling techniques as a tool to elicit customizable product features
title_full The use of structured relationship modelling techniques as a tool to elicit customizable product features
title_fullStr The use of structured relationship modelling techniques as a tool to elicit customizable product features
title_full_unstemmed The use of structured relationship modelling techniques as a tool to elicit customizable product features
title_sort use of structured relationship modelling techniques as a tool to elicit customizable product features
publishDate 2008
url https://hdl.handle.net/2134/4739
_version_ 1797378242331541504