Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

TRANSFORMING MOROCCAN E-COMMERCE THROUGH GENERATIVE AI: EVIDENCE FROM AN EMPIRICAL STUDY

Domaine:

digital infrastructure

Type de record:

paper
Créateur:
HAF
Éditeur:
Lit
Hôte:avatar

This research investigates the potential role of generative artificial intelligence (AI) within the e-commerce industry. Generative AI is employed in a variety of applications, such as automating content creation and personalizing user experiences, which significantly improve operational efficiency and customer engagement for e-commerce companies. For example, AI-driven product recommendations tailored to individual customer preferences have been shown to increase conversion rates, while AI-powered chatbots help you keep your customers satisfied and loyal with 24/7 customer service. However, the existing academic literature tends to focus on technological capabilities of AI in developed markets, leaving a considerable gap in understanding how these technologies are implemented and perceived in emerging economies such as Morocco. This paper seeks to address how e-commerce businesses can overcome specific barriers in order to effectively harness AI. Despite the obvious benefits, several challenges stand in the way of widespread adoption of generative AI in the e-commerce landscape. These include inadequate technology infrastructure, a shortage of qualified AI professionals, and significant ethical and regulatory concerns. Issues relating to data protection, privacy and transparency of AI algorithms are particularly pressing, requiring rigorous scrutiny and strong regulation frameworks to guarantee the ethical implementation of AI. The purpose of this study lies in the need to bridge the gap between worldwide progress in AI and national implementation strategies, in order to ensure that the digital transformation is adapted to the Moroccan context, both culturally and economically. For this study, a qualitative research was conducted through in-depth interviews with e-commerce professionals in Morocco. The analysis of the results was made by Maxqda Software. The results indicate that generative AI can boost efficiency, improve customer satisfaction and extend market reach. The study concludes that while challenges remain, the strategic implementation of generative AI, supported by appropriate policies and frameworks, can act as a catalyst for growth and innovation in e-commerce, positioning it competitively in the global marketplace. This research lays the foundations for further studies into the impact of AI on e-commerce, and offers practical recommendations for stakeholders wishing to leverage generative AI for business growth in Morocco.

Visit

doi.org

Tags

Generative AI, E-Commerce, Empirical Study, Technology Acceptance.

Licenses

info:eu-repo/semantics/openAccessCreative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

Similaires

Impact of E-commerce taxation on cross-border online transactions: Empirical evidence from African countriesMoroccan Darija to Moroccan Sign Language Using Generative AI and NLPCustomer Perceptions and Trust in E-commerce Transactions: Evidence from CameroonAchieving Sustainable Environment through Infrastructure and Energy Structure Developments; An empirical evidence from BRICSFactors Affecting the Adoption of E-commerce by Moroccan ConsumersFrom Accessibility to Participatory Justice: a Pre-Empirical Generative AI Design Framework for Darija-Based AAC and Language Equity in Moroccan Autistic Children

Impact of E-commerce taxation on cross-border online transactions: Empirical evidence from African countries

This study examines the impact of the digital tax on cross-border online transactions in African cou

Moroccan Darija to Moroccan Sign Language Using Generative AI and NLP

Customer Perceptions and Trust in E-commerce Transactions: Evidence from Cameroon

International audience Background: In Cameroon, the announcement of the emergence vis

Achieving Sustainable Environment through Infrastructure and Energy Structure Developments; An empirical evidence from BRICS

The development of an environment that is sustainable requires infrastructure. Energy structure i

Factors Affecting the Adoption of E-commerce by Moroccan Consumers

As part of the general theme of the adoption of new technologies by users, this article aims to

From Accessibility to Participatory Justice: a Pre-Empirical Generative AI Design Framework for Darija-Based AAC and Language Equity in Moroccan Autistic Children