Mining online reviews with a Kansei-integrated Kano model for innovative product design

Optimising affective design based on customer needs help to earn competitive advantages. However, affective design has been studied qualitatively and the value of online opinions providing affective design ideas has not been exploited deeply. To fill this gap, a framework is proposed to reveal custo...

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Veröffentlicht in:	International journal of production research 2022-11, Vol.60 (22), p.6708-6727
Hauptverfasser:	Jin, Jian, Jia, Danping, Chen, Kejia
Format:	Artikel
Sprache:	eng
Schlagworte:	Aesthetic design Algorithms Clustering customer affective needs Customer satisfaction Design optimization Emotions Feature extraction Kano model online reviews Product design Product development Product reviews Product specifications text mining
Online-Zugang:	Volltext
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