• DocumentCode
    3576723
  • Title

    A preliminary survey on modeling customer requirements from product reviews under preference uncertainty

  • Author

    Zakaria, A.F. ; Lim, S. C. Johnson

  • Author_Institution
    Dept. of Eng. Educ., Univ. Tun Hussein Onn Malaysia, Parit Raja, Malaysia
  • fYear
    2014
  • Firstpage
    1096
  • Lastpage
    1100
  • Abstract
    Nowadays, design and manufacturing companies are constantly investigating ways to offer products that are able to meet with the ever changing customer taste. Therefore, identifying customer requirements is important towards designing successful products. Recently, acquiring customer requirements from product reviews is a preferable approach that offers certain advantages over common methods such as interviews and questionnaire studies. However, uncertainty is usually a less emphasized factor in requirements modeling. This paper presents a survey on the recent achievements in identifying customer requirements from product review, with the preference uncertainty factors considered. Three main topics on identifying voice of customers (VoCs), VoCs from product reviews and uncertainty in customer requirement are explicitly discussed. Based on our extensive survey, a number of research challenges concerning the aforementioned topics have been identified and suggested. We have also briefly discussed on a few promising further research directions based on our findings.
  • Keywords
    customer satisfaction; manufacturing industries; product design; VoCs; customer requirement modeling; design companies; manufacturing companies; preference uncertainty factors; product design; product reviews; requirements modeling; voice of customers; Customer satisfaction; Data mining; Feature extraction; Pragmatics; Product design; Quality function deployment; Uncertainty; Customer requirements; Product reviews; Survey; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/IEEM.2014.7058808
  • Filename
    7058808