• DocumentCode
    1655017
  • Title

    Questionnaire investigation on jewelry / accessory and its analysis utilizing Bayesian Network

  • Author

    Takeyasu, Kazuhiro ; Higuchi, Yuki ; Ishio, Chie

  • Author_Institution
    Dept. of Econimics, Osaka Prefecture Univ., Sakai, Japan
  • fYear
    2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Recently, the numbers of jewelry/accessories buying via the Internet are increasing, especially for young people. They often have difficulty deciding what kinds of jewelry/accessories, because there are many kinds of jewelry/accessories to choose from. Consulting service to support decisions is required for these matters. In this paper, a questionnaire investigation is executed for the purchasing on-line network, used for jewelry/accessory purchasing in order to get instructions for an on-line network consulting service. Nearly 500 sample data are collected. In this research, we construct the model utilizing Bayesian Network and causal relationship is sequentially chained by the characteristic of customer, the purchase budget and the accessory type. We analyzed them by sensitivity analysis and some useful results were obtained. These are utilized for constructing a much more effective and useful on-line network consulting service.
  • Keywords
    Internet; belief networks; budgeting data processing; consultancies; customer satisfaction; decision support systems; purchasing; retail data processing; Bayesian network; Internet; accessories; buying; consulting service; customer characteristics; decisions support; jewelry; on-line network; purchase budget; questionnaire investigation; sensitivity analysis; young people; Bayesian methods; Companies; Internet; Learning; Receivers; Sensitivity analysis; Visualization; Bayesian Network; jewelry; questionnaire nvestigation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers and Industrial Engineering (CIE), 2010 40th International Conference on
  • Conference_Location
    Awaji
  • Print_ISBN
    978-1-4244-7295-6
  • Type

    conf

  • DOI
    10.1109/ICCIE.2010.5668386
  • Filename
    5668386