Enhancing information management through data mining analytics to increase product sales in an e-commerce platform

Stephan Kudyba, Kenneth Lawrence

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

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 languageEnglish (US)
Pages (from-to)97-104
Number of pages8
JournalInternational Journal of Electronic Marketing and Retailing
Volume2
Issue number2
DOIs
StatePublished - Aug 19 2008

All Science Journal Classification (ASJC) codes

  • Management Information Systems
  • Business and International Management
  • Marketing

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