DocumentCode
2856778
Title
A prescriptive approach to understand customer needs using value-focused thinking
Author
Zhang, Xinwei ; Auriol, Guillaume ; Baron, Claude
Author_Institution
LAAS, Toulouse, France
fYear
2011
fDate
6-9 Dec. 2011
Firstpage
1314
Lastpage
1319
Abstract
In the paper a prescriptive approach to understand customer needs is proposed, which helps to transform the subjective, human-centric problem into a more objective, decision-making problem. By recognizing the diversity of levels or granularities of initially identified customer statements, techniques of fundamental objectives hierarchy and means-ends objectives network are utilized to qualitatively structure the customer statements. A set of customer needs suitable for measuring is then identified. By carefully selecting an appropriate measure for each customer need in the set, quantitative value model for conjoint measurement is constructed with multiple attributes preference theory. The implications of quantitative understanding on customer needs in terms of values, e.g. weights and even swap, are further discussed. The business benefit of the approach is the breadth and depth of understanding of customer needs and values.
Keywords
customer relationship management; decision making; breadth and depth approach; business benefit; conjoint measurement; customer needs; customer statements; decision-making problem; human-centric problem; means-ends objectives network; multiple attributes preference theory; quantitative understanding; quantitative value model; value-focused thinking; Additives; Batteries; Context; Object recognition; Product development; Quality function deployment; Torque; customer needs; quality function deployment (QFD); value; value model;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on
Conference_Location
Singapore
ISSN
2157-3611
Print_ISBN
978-1-4577-0740-7
Electronic_ISBN
2157-3611
Type
conf
DOI
10.1109/IEEM.2011.6118129
Filename
6118129
Link To Document