Szczegóły publikacji

Opis bibliograficzny

AI-driven personalization in advertising: transforming consumer engagement through sustainability and circular economy / Iryna BASHYNSKA // Scientific Journal of Bielsko-Biala School of Finance and Law ; ISSN 2543-9103. — 2023 — vol. 27 no. 4, s. 106–112. — Bibliogr. s. 112, Abstr. — Publikacja dostępna online od: 2023-12-30

Autor

Słowa kluczowe

AIconsumer engagementpersonalizationartificial intelligencecircular economyadvertisingsustainability

Dane bibliometryczne

ID BaDAP151336
Data dodania do BaDAP2024-01-23
Tekst źródłowyURL
DOI10.19192/wsfip.sj4.2023.15
Rok publikacji2023
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Creative Commons
Czasopismo/seriaScientific Journal of Bielsko-Biala School of Finance and Law

Abstract

In this comprehensive exploration, the author delves into the dynamic landscape of advertising, unveiling the transformative fusion of artificial intelligence and personalized marketing strategies. The article meticulously dissects the evolving realm of consumer engagement, highlighting the seismic shift towards sustainability and circular economy principles within contemporary advertising strategies. The author elucidates the formidable potential of AI-driven personalization in reshaping consumer behaviors, emphasizing not just transactional engagements but the alignment of advertising with societal values and environmental stewardship. Drawing from a diverse array of case studies and pioneering strategies employed by brands across industries, the article illustrates how these initiatives resonate with environmentally conscious consumers, redefining the purpose of advertising as a platform for education, advocacy, and empowerment. Utilizing a multifaceted methodology encompassing mixed methods, extensive literature review, and in- depth case study analyses, the author navigates through the intersection of AI-driven personalized advertising and sustainability. The study meticulously scrutinizes the amalgamation of these domains, shedding light on their collective potential in directing consumer engagement towards sustainable practices. However, while showcasing the transformative potential of AI-powered strategies, the article recognizes inherent limitations, such as the dynamic nature of consumer preferences and ethical considerations surrounding data utilization in personalized advertising.

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