To search, Click below search items. |
| All Published Papers Search Service |
|
|
|
Title |
A Web Service Model for Evaluating an e-Commerce Site: Mining On-Line Customers’ Preferences |
|
Author |
Hei-Chia Wang, Tian-Hsian Huang |
| Citation |
Vol. 6 No. 7 pp. 69-76 |
|
Abstract |
e-Commerce become a new way of doing business. Many businesses have built their own e-Commerce sites. Most of them cover lots of functions in one site. However, most company managers do not know how to evaluate the importance and the necessity of the functions on an e-Commerce site. In this paper, a web service model for evaluating e-Commerce function is presented to assist company managers to understand whether customers like their e-Commerce sites and which parts of the sites they like. Multiple regression and factor analysis is used in this service model, which is integrated with the multi-data sources to evaluate the functionality of e-Commerce components. Business organizations can use this service model to assess customers’ preferences for an e-Commerce system. This evaluation service model can integrate multi-data sources to help chief information officers (CIO) to understand that which functions (or components) are really needed by the customers and can provide more supports for electronic customer relationship management (eCRM). After knowing the customers’ preferences, system analyzers can then modify the electrical system development to fulfill customers’ expectations. By using this evaluation service model, we aim to improve customers’ satisfactions and to tighten the customer relationships. We illustrate the model with an example and draw managerial implications. |
|
Keywords |
e-Commerce function evaluation, evaluating model, eCRM |
|
URL |
