Technology Usage Patterns of E-Commerce Companies: A Case Study of the United Arab Emirates (UAE)

Mohamed Zoghbour () and Gurdal Ertek ()
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Mohamed Zoghbour: United Arab Emirates University
Gurdal Ertek: United Arab Emirates University

A chapter in Advanced Data Analytics, Machine Learning and AI in Business, 2026, pp 239-253 from Springer

Abstract: Abstract This study provides a novel analytical framework for analyzing and understanding technological infrastructure in regional e-commerce ecosystems. As a case study, web technologies and platforms adopted by e-commerce companies in the United Arab Emirates (UAE) are analyzed. The framework focuses on the relationships between technologies, domains, and platforms. The data analytics methods of association mining and graph visualization are integrated in the context of analyzing the technological infrastructure of e-commerce companies. This is achieved by representing the association rules that express the patterns between technologies as a graph. A second stage re-mining of a first stage data mining results in the present work is a novel approach analyzing the technological landscape for e-commerce.

Keywords: E-commerce; Technology Adoption; Data Analytics; Association Rule Mining; Graph Visualization; United Arab Emirates (UAE) (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-3-032-23493-3_15

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DOI: 10.1007/978-3-032-23493-3_15

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