Intelligent Supply Chain Management: A Systematic Literature Review on Artificial Intelligence Contributions DOI Creative Commons

António R. Teixeira,

José Vasconcelos Ferreira, Ana Luísa Ramos

и другие.

Information, Год журнала: 2025, Номер 16(5), С. 399 - 399

Опубликована: Май 13, 2025

This systematic literature review investigates the recent applications of artificial intelligence (AI) in supply chain management (SCM), particularly domains resilience, process optimization, sustainability, and implementation challenges. The study is motivated by gaps identified previous reviews, which often exclude published after 2020 lack an integrated analysis AI’s contributions across multiple phases. aims to provide updated synthesis AI technologies—such as machine learning, deep generative AI—and their practical between 2021 2024. Following PRISMA framework, a rigorous methodology was applied using Scopus database, complemented bibliometric content analyses. A total 66 studies were selected based on predefined inclusion criteria evaluated for methodological quality thematic relevance. findings reveal diverse classification strategic operational SCM phases highlight emerging techniques like explainable AI, neurosymbolic systems, federated learning. also identifies persistent barriers such data governance, ethical concerns, scalability. Future research should focus hybrid AI–human collaboration, transparency through models, integration with technologies IoT blockchain. contributes offering structured transformative impact outlining key directions guide future investigations managerial practice.

Язык: Английский

A Literature Review on the Emerging Trends of AI Applications in E-Retailing: Insights from the Journal of Retailing and Consumer Services DOI
Özge HABİBOĞLU

Abant Sosyal Bilimler Dergisi, Год журнала: 2025, Номер 25(1), С. 365 - 389

Опубликована: Март 24, 2025

The use of artificial intelligence (AI) in the retail sector is steadily increasing. This study aims to reveal usage AI retailing over years. For thisKoh purpose, 137 studies published Journal Retailing and Consumer Services were analyzed according SPAR-4-SLR protocol. reviewed across four domains: publication year, consumer approach, technology applied, theoretical framework. Findings indicate that most 2024, primarily focusing on purchasing behavior, extensive chatbots, frequent application Technology Acceptance Model (TAM) grounding. research distinguishes itself by examining retailer-consumer behavior relationship, mainly contributing current knowledge this area. Keywords: AI, ıntelligence, retailing, behaviour

Язык: Английский

Процитировано

0
Measuring the Application of Innovative Digital Technology in the Retail Sector for Sustainable Business DOI

S. Muruganandhan,

H. Hanish,

H. Vinish

и другие.

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 307 - 328

Опубликована: Апрель 25, 2025

Innovative digital technology models and strategies would reduce the use of plastics non-renewable energy resources particularly in service sector. The retail industry is one biggest segments sector many countries. innovative application various will be an effective environmental protection sustainability tool. This chapter aims to review existing research determine significant contributions digitalization business processes such as advertisement, signage, AI interface technology, e-commerce, customer support. critically measures models, well their advantages, disadvantages, opportunities.

Язык: Английский

Процитировано

0
Intelligent Supply Chain Management: A Systematic Literature Review on Artificial Intelligence Contributions DOI Creative Commons

António R. Teixeira,

José Vasconcelos Ferreira, Ana Luísa Ramos

и другие.

Information, Год журнала: 2025, Номер 16(5), С. 399 - 399

Опубликована: Май 13, 2025

This systematic literature review investigates the recent applications of artificial intelligence (AI) in supply chain management (SCM), particularly domains resilience, process optimization, sustainability, and implementation challenges. The study is motivated by gaps identified previous reviews, which often exclude published after 2020 lack an integrated analysis AI’s contributions across multiple phases. aims to provide updated synthesis AI technologies—such as machine learning, deep generative AI—and their practical between 2021 2024. Following PRISMA framework, a rigorous methodology was applied using Scopus database, complemented bibliometric content analyses. A total 66 studies were selected based on predefined inclusion criteria evaluated for methodological quality thematic relevance. findings reveal diverse classification strategic operational SCM phases highlight emerging techniques like explainable AI, neurosymbolic systems, federated learning. also identifies persistent barriers such data governance, ethical concerns, scalability. Future research should focus hybrid AI–human collaboration, transparency through models, integration with technologies IoT blockchain. contributes offering structured transformative impact outlining key directions guide future investigations managerial practice.

Язык: Английский

Процитировано

0