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, Journal Year: 2025, Volume and Issue: 25(1), P. 365 - 389

Published: March 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

Language: Английский

Artificial intelligence digital employees and sustainable innovation in online retail: The mediating role of ambidextrous green innovation and the moderating role of ethical anxiety DOI
Shaofeng Wang, Hao Zhang

Journal of Retailing and Consumer Services, Journal Year: 2025, Volume and Issue: 84, P. 104235 - 104235

Published: Jan. 27, 2025

Language: Английский

Citations

1

Factors influencing recommendations for women's clothing satisfaction: A latent dirichlet allocation approach using online reviews DOI

Salabh Shashank,

Rajat Kumar Behera

Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 81, P. 104011 - 104011

Published: July 29, 2024

Language: Английский

Citations

4

Drivers of metaverse adoption for enhancing marketing capabilities of retail SMEs DOI
Anis ur Rehman, Rajat Kumar Behera, Md. Saiful Islam

et al.

Technology in Society, Journal Year: 2024, Volume and Issue: 79, P. 102704 - 102704

Published: Aug. 30, 2024

Language: Английский

Citations

4

AI and Customer Experience: Personalization and Engagement in Middle Eastern Markets DOI
Nada Jabbour Al Maalouf, Nada Sarkis

Published: Jan. 1, 2025

Language: Английский

Citations

0

Does humanizing help? Exploring the role of anthropomorphism and privacy concerns in shoppers adoption of voice-commerce DOI
Hitesh Sharma, Dheeraj Sharma

Marketing Intelligence & Planning, Journal Year: 2025, Volume and Issue: unknown

Published: March 4, 2025

Purpose Recent research highlights the growing use of anthropomorphizing voice commerce, attributing human-like traits to shopping assistants. However, scant examines influence anthropomorphism on behavioral intention shoppers. Therefore, study mediating role and privacy concerns in relationship between utilitarian hedonic factors with voice-commerce Design/methodology/approach The employs structural equation modeling (SEM) analyze responses from 279 Findings Results indicate that commerce fosters adoption for but not factors. Paradoxically, decreases shoppers’ intentions heightens their concerns. Research limitations/implications cross-sectional survey design serves as a notable limitation study. Future researchers can rely longitudinal designs additional insights. Practical implications Marketers should anthropomorphize shoppers, consider implementing customized settings tailored individual preferences. Originality/value contributes academia management by emphasizing need customize anthropomorphic features according Furthermore, it adverse effects behavior, offering policymakers guidance appropriate regulations.

Language: Английский

Citations

0

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, Journal Year: 2025, Volume and Issue: 25(1), P. 365 - 389

Published: March 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

Language: Английский

Citations

0