Cited by 228Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AIAI in Service Interactions

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Role of Artificial Intelligence in Shaping Consumer Demand in E-Commerce

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Khrais, Laith T.·2020·Future Internet

DOI 10.3390/fi12120226

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Abstract

The advent and incorporation of technology in businesses have reformed operations across industries. Notably, major technical shifts in e-commerce aim to influence customer behavior in favor of some products and brands. Artificial intelligence (AI) comes on board as an essential innovative tool for personalization and customizing products to meet specific demands. This research finds that, despite the contribution of AI systems in e-commerce, its ethical soundness is a contentious issue, especially regarding the concept of explainability. The study adopted the use of word cloud analysis, voyance analysis, and concordance analysis to gain a detailed understanding of the idea of explainability as has been utilized by researchers in the context of AI. Motivated by a corpus analysis, this research lays the groundwork for a uniform front, thus contributing to a scientific breakthrough that seeks to formulate Explainable Artificial Intelligence (XAI) models. XAI is a machine learning field that inspects and tries to understand the models and steps involved in how the black box decisions of AI systems are made; it provides insights into the decision points, variables, and data used to make a recommendation. This study suggested that, to deploy explainable XAI systems, ML models should be improved, making them interpretable and comprehensible.

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Research works printed but not linked: 2

Kumar, 2020, The Colossal Impact of Artificial Intelligence. E-Commerce: Statistics and Facts, Int. Res. J. Eng. Technol. (IRJET), 6, 570
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Authors: Khrais, L. T.
Affiliations: Imam Abdulrahman Bin Faisal University (SA)
Corresponding author: Khrais, Laith T.
ORCID: Khrais, Laith T.
Venue: Future Internet
Publisher: MDPI AG
Published: 2020-12-08
Volume: 12
Issue: 12
Pages: 226
ISSN: 1999-5903 (ISSN-L)
DOI: 10.3390/fi12120226
OpenAlex: W3110686510
Cited by: 228
References: 24
Citations by year: 2026: 24 · 2025: 56 · 2024: 69 · 2023: 41 · 2022: 26 · 2021: 11
FWCI: 7.66
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
creativecommons.org/licenses/by/4.0/ (vor)
Locations: Future Internet (publishedVersion, cc-by)
RePEc: Research Papers in Economics (submittedVersion)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics: Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
Keywords: artificial intelligence in e-commerce, consumer demand, explainable AI, explainability, ethical issues of AI, personalization, consumer behavior, black-box decision-making, interpretability, recommender systems

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Role of Artificial Intelligence in Shaping Consumer Demand in E-Commerce

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