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 to choose, 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. To confirm the
findings by utilizing the new consecutive purchasing records would be the
future works to be investigated.