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Management Summary<br />

Innovativeness and advantages <strong>of</strong> this approach:<br />

• Classifying <strong>the</strong> products in<strong>to</strong> satisfying and dissatisfying products for every consumer<br />

individually based on well accepted approach <strong>of</strong> limited purchase decisions (Foscht/<br />

Swoboda, 2004, S. 154)<br />

⇒Identifying <strong>the</strong> influence <strong>of</strong> each descrip<strong>to</strong>r for satisfying and dissatisfying products via<br />

PLS separately<br />

• Hierarchical Clustering using <strong>the</strong> 62 regression coefficients <strong>of</strong> <strong>the</strong> satisfying and<br />

dissatisfying products for depending variables<br />

⇒homogenous segments <strong>of</strong> consumers having comparable preferences in purpose <strong>of</strong><br />

making conclusions for a group <strong>of</strong> consumers instead <strong>of</strong> identifying <strong>the</strong> Kano attributes<br />

for every consumer individually<br />

• Using Classification Rules (Rivieré et al., 2006) <strong>to</strong> adapt Kano´s Theory <strong>of</strong> Satisfaction<br />

⇒Identifying <strong>the</strong> three Kano attributes must-be, performance and attractive attributes which<br />

provide more detailed information about <strong>the</strong> influence on satisfaction than only<br />

identifying <strong>the</strong> preference driving attributes without differentiation between satisfying<br />

and dissatisfying products<br />

⇒ interesting for food industries working on innovative food products not knowing which<br />

product attributes have <strong>to</strong> be fulfilled (must-be) and which product attributes are able <strong>to</strong><br />

arouse high satisfaction levels (attractive attributes)<br />

8 th Pangborn Symposium Florence<br />

page 21

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