Enhancing information management through data mining analytics to increase product sales in an e-commerce platform
Document Type
Article
Publication Date
1-1-2008
Abstract
This paper addresses the utilisation of complementary technologies to more effectively identify and accommodate the market demand for product documents available via an e-commerce platform. More specifically, it investigates the utilisation of data mining methodologies to enhance the information management of e-commerce data to better identify consumer purchasing patterns and preferences for engineering-based documents. By enhancing the knowledge of consumer behaviour through the effective transformation of data into actionable information, organisations can enhance the e-commerce functionality to more effectively direct consumers to the existing products that are available within a document repository. The result is a higher volume of sales for existing customer visits and increased customer satisfaction. © 2008, Inderscience Publishers.
Identifier
49349110289 (Scopus)
Publication Title
International Journal of Electronic Marketing and Retailing
External Full Text Location
https://doi.org/10.1504/IJEMR.2008.019812
e-ISSN
17411033
ISSN
17411025
First Page
97
Last Page
104
Issue
2
Volume
2
Recommended Citation
Kudyba, Stephan and Lawrence, Kenneth, "Enhancing information management through data mining analytics to increase product sales in an e-commerce platform" (2008). Faculty Publications. 12920.
https://digitalcommons.njit.edu/fac_pubs/12920
