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.
Original language | English (US) |
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Pages (from-to) | 97-104 |
Number of pages | 8 |
Journal | International Journal of Electronic Marketing and Retailing |
Volume | 2 |
Issue number | 2 |
DOIs | |
State | Published - 2008 |
All Science Journal Classification (ASJC) codes
- Marketing
- Business and International Management
- Management Information Systems
Keywords
- Customer relationship management
- Data analytics
- Data mining
- Document repositories
- E-commerce
- Electronic marketing
- Information management
- Retailing