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

The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

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

Open access
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

  1. Kumar, 2020, The Colossal Impact of Artificial Intelligence. E-Commerce: Statistics and Facts, Int. Res. J. Eng. Technol. (IRJET), 6, 570
  2. Doran, D., Schulz, S., and Besold, T.R. (2017). What Does Explainable AI Really Mean? A New Conceptualization of Perspectives. arXiv, Available online: https://openaccess.city.ac.uk/id/eprint/18660/.

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Metadata

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
Licence
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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