• 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