Crowdsourcing customer needs for product design using text analytics
Palmer, Stuart 2016, Crowdsourcing customer needs for product design using text analytics, in WCE 2016 : Proceedings of the World Congress on Engineering, International Association of Engineers, Hong Kong, pp. 221-226.
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.
ISBN
9789881925305
ISSN
2078-0958 2078-0966
Language
eng
Field of Research
091503 Engineering Practice 080709 Social and Community Informatics
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.