Structural equation modeling with LISREL: essentials and advances
Structural equation modeling with LISREL: essentials and advances
A structural model of end user computing satisfaction and user performance
Information and Management
Developing and Validating Trust Measures for e-Commerce: An Integrative Typology
Information Systems Research
An extended self-organizing map network for market segmentation: a telecommunication example
Decision Support Systems
Market segmentation based on hierarchical self-organizing map for markets of multimedia on demand
Expert Systems with Applications: An International Journal
Journal of Management Information Systems
The DeLone and McLean Model of Information Systems Success: A Ten-Year Update
Journal of Management Information Systems
Online purchase intentions: A multi-channel store image perspective
Information and Management
Segmentation of stock trading customers according to potential value
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Trust and TAM in online shopping: an integrated model
MIS Quarterly
Ranking and selection of unsupervised learning marketing segmentation
Knowledge-Based Systems
Hi-index | 12.05 |
This study has proposed an approach that enables online stores to offer customized marketing by segmenting their customers based on customers' psychographic data. Online stores can concentrate on more profitable activities by identifying customers' value as they segment their customers into a few groups of customers with similar intentions to purchase. To segment online customers, based on previous research that explains the behavior of online customers regarding purchasing, the approach has employed the factors that affect the customers' intention to purchase on the Web. We integrated the clustering results of SOM (self-organized map) and the k-means algorithm into a single model. Online stores can develop promotional marketing and offer personalized service for e-customers, who are more valuable and more promising, according to the market segments presented by our approach.