Unveiling the Dynamics of E-Commerce A Comprehensive Study on Big Data Analytics, Environmental Impact, Socioeconomic Effects, and Platform Assessment

The study addresses the paucity of thorough research in this field by examining the use of big data analytics (BDA) in e-commerce. It starts with a synopsis of how e-commerce first emerged with the introduction of the Internet and then developed into a worldwide marketplace. Even if e-commerce is becoming more and more popular, a unified framework is still required to comprehend its adoption drivers and effects on different domains. The study aims to fill this void by thoroughly examining 98 pertinent publications and emphasizing the applicability of e-commerce in various settings. Additionally, it addresses the possibility for e-commerce to lessen the environmental effects of the food system while discussing the environmental implications of food e-commerce. The study also looks at the socioeconomic effects of e-commerce privacy and how it affects customers. It also addresses how the COVID-19 epidemic has affected e-commerce and digital media consumption, highlighting the necessity of assessing how ecommerce may support constructive social change. The research assesses e-commerce platforms according to a number of factors, such as product variety, user reviews, website loading speed, and customer service response time, using the Weighted Product Method (WPM) as a decision-making tool. The WPM generates a weighted product score for every platform by allocating weights to each criterion according to its relative value. Stakeholders may make well-informed decisions by taking into account both quantitative and qualitative elements thanks to this methodical approach. Walmart is the most popular e-commerce platform among those that were analyzed, with Amazon, eBay, Etsy, and Shopify following closely after. In the ever-changing world of e-commerce, these results offer insightful information about the relative merits and performance of each platform, helping consumers and companies make informed decisions. All things considered, the article advances knowledge about business-to-consumer (BDA) in ecommerce and offers a methodical framework for assessing e-commerce platforms according to various standards, enabling well-informed choices and calculated planning in the virtual marketplace.

Publication Details

Journal
Computer Science Engineering and Technology
Published
2025-04-22
DOI
https://doi.org/10.46632/cset/2/4/4
Citations
6
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
25.01
Controls
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article

Unveiling the Dynamics of E-Commerce A Comprehensive Study on Big Data Analytics, Environmental Impact, Socioeconomic Effects, and Platform Assessment

6 citations
Computer Science Engineering and Technology
Technology Adoption and User Behaviour
25.01
article

Unveiling the Dynamics of E-Commerce A Comprehensive Study on Big Data Analytics, Environmental Impact, Socioeconomic Effects, and Platform Assessment

article en
6 citations

Abstract

The study addresses the paucity of thorough research in this field by examining the use of big data analytics (BDA) in e-commerce. It starts with a synopsis of how e-commerce first emerged with the introduction of the Internet and then developed into a worldwide marketplace. Even if e-commerce is becoming more and more popular, a unified framework is still required to comprehend its adoption drivers and effects on different domains. The study aims to fill this void by thoroughly examining 98 pertinent publications and emphasizing the applicability of e-commerce in various settings. Additionally, it addresses the possibility for e-commerce to lessen the environmental effects of the food system while discussing the environmental implications of food e-commerce. The study also looks at the socioeconomic effects of e-commerce privacy and how it affects customers. It also addresses how the COVID-19 epidemic has affected e-commerce and digital media consumption, highlighting the necessity of assessing how ecommerce may support constructive social change. The research assesses e-commerce platforms according to a number of factors, such as product variety, user reviews, website loading speed, and customer service response time, using the Weighted Product Method (WPM) as a decision-making tool. The WPM generates a weighted product score for every platform by allocating weights to each criterion according to its relative value. Stakeholders may make well-informed decisions by taking into account both quantitative and qualitative elements thanks to this methodical approach. Walmart is the most popular e-commerce platform among those that were analyzed, with Amazon, eBay, Etsy, and Shopify following closely after. In the ever-changing world of e-commerce, these results offer insightful information about the relative merits and performance of each platform, helping consumers and companies make informed decisions. All things considered, the article advances knowledge about business-to-consumer (BDA) in ecommerce and offers a methodical framework for assessing e-commerce platforms according to various standards, enabling well-informed choices and calculated planning in the virtual marketplace.

Computer Science Engineering and TechnologyVol. 2(4)
Openalex Percentile: Top 1%
Technology Adoption and User Behaviour
25.01
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Unveiling the Dynamics of E-Commerce A Comprehensive Study on Big Data Analytics, Environmental Impact, Socioeconomic Effects, and Platform Assessment · Computer Science Engineering and Technology (2025) | TGRS Research Map | TGRS