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Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Noon.com: A Case Study on Technology Adoption Driving E-Commerce Success

Authors: Alaa M. Momani;

Noon.com: A Case Study on Technology Adoption Driving E-Commerce Success

Abstract

Abstract In 2017, Noon was established by Mr. Mohamed Alabbar, a UAE-based businessman and entrepreneur. This startup project has become one of the most powerful and widely common e-commerce services in the Middle East region. This case study investigates the e-commerce market in the UAE and the challenges of its expansion to other countries or providing more services. It presents the successful approach followed by Noon to adopt new technologies. Technologies such as AI-driven personalization, warehouse automation, and advanced logistics tracking systems are explored to highlight their strategic investments in technology and their positive impact on the operations and services. This study, as well, examines the position of the company compared to their competitors, in addition to emphasizing its unique strategies and competitive advantages. Furthermore, this study analyzes its contribution to the growth of the e-commerce market and its role in fostering digital transformation in the Middle East region. In order to fulfill its vision, Noon has evolved into a digital ecosystem offering a range of products and services, provided to customers in the United Arab Emirates, Kingdom of Saudi Arabia, and Egypt. Finally, a SWOT analysis is conducted to provide a comprehensive evaluation of the company’s strategy, and the key challenges have been discussed. The study employs a mixed-methods approach, including qualitative analysis of company reports, customer feedback, and a review of relevant reports, articles, and case studies in the domain.

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Keywords

online services, digital transformation, SWOT analysis, E-commerce, technology adoption, e-commerce,

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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