DISSERTATION

Improving Electronic Commerce Through Gathering Customer Data

Abstract

For companies and businesses to compete successfully in the world today, they need to efficiently gather and process information about their customers. With the rapid growth of commerce over the Internet, new opportunities to collect information have arisen. The information-gathering technologies discussed in this report are online questionnaires, Internet cookies, and customer profiles. Communications Industry Researchers, Inc. (CIR) needs an evaluation of these technologies and a design for collecting customer information in their electronic commerce system. The evaluation and design in this report are useful tools for companies with similar goals as CIR. A team of University of Virginia engineering students and I provided CIR with an electronic commerce system that can support Internet transactions. The objective of this project was to provide a customer information-gathering module capable of integration into the electronic commerce system. Secondary objectives are to discuss the Open Profiling Standard and to document design and implementation issues with the various technologies. The impacts of this project affect all companies and customers involved with electronic commerce. The deliverables to CIR are the electronic commerce system, the customer information-gathering module, and the documentation of technologies evaluated. The information-gathering module collects customer data through the use of online forms and Internet cookies. CIR received the deliverables and is currently using them. The customer data collected by the system is beneficial to CIR for decision- making.

Keywords:
Data science Business Computer science

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
0
Refs
0.50
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Technology Adoption and User Behaviour
Social Sciences →  Decision Sciences →  Information Systems and Management
Customer churn and segmentation
Social Sciences →  Business, Management and Accounting →  Marketing
Big Data and Business Intelligence
Social Sciences →  Business, Management and Accounting →  Management Information Systems

Related Documents

JOURNAL ARTICLE

Improving Customer Satisfaction through E-Commerce Logistics

Sushama J. GandalJalindar Gandal

Journal:   International Journal of Innovative Research in Engineering & Management Year: 2025 Vol: 12 (4)Pages: 49-54
JOURNAL ARTICLE

Segmenting e-Commerce Customer through Data Mining Techniques

Ritu PunhaniVasudha AroraA. Sai SabithaVinod Kumar Shukla

Journal:   Journal of Physics Conference Series Year: 2021 Vol: 1714 (1)Pages: 012026-012026
JOURNAL ARTICLE

Electronic commerce opportunities for improving corporate customer support in banking in Greece

Dimitris KardarasEleutherios A. Papathanassiou

Journal:   International Journal of Bank Marketing Year: 2001 Vol: 19 (7)Pages: 292-298
JOURNAL ARTICLE

Improving customer decisions in web-based e-commerce through guerrilla modding

Simon MayerKlaus FuchsDominic BrüggerJie LianAndrei Ciortea

Journal:   Nature Machine Intelligence Year: 2021 Vol: 3 (12)Pages: 1008-1010
© 2026 ScienceGate Book Chapters — All rights reserved.