Crowdsourcing customer needs for product design using text analytics
Contribuinte(s) |
[Unknown] |
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Data(s) |
01/01/2016
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Resumo |
In product design and engineering, identifying customer needs is the foundation for designing and producing a successful product. Traditionally, a range of techniques have been employed to elicit customer needs. A relatively new technique for identifying customer needs is ‘crowdsourcing’. An emerging area of research is the crowdsourcing of customer needs from online product review sites. This paper proposes a simple process for crowdsourcing customer needs for product design using text analytics. The analysis/visualization method is presented in detail. The text content of online customer reviews for a popular product is collected and processed using text analytics software. A published case study identifying expressed customer needs for the same generic product, collected via conventional means, is used to successfully validate the findings from the text analytics method. |
Identificador | |
Idioma(s) |
eng |
Publicador |
International Association of Engineers |
Relação |
http://dro.deakin.edu.au/eserv/DU:30084992/palmer-crowdsourcing-2016.pdf http://dro.deakin.edu.au/eserv/DU:30084992/palmer-crowdsourcing-evid-2016.pdf http://www.iaeng.org/publication/WCE2016/WCE2016_pp221-226.pdf |
Direitos |
2016, International Association of Engineers |
Palavras-Chave | #crowdsourcing #customer needs #product design #text analytics #customer reviews |
Tipo |
Conference Paper |