From analytics to empathy and creativity: Charting the AI revolution in marketing practice and education

The rapid advancement of artificial intelligence (AI) increasingly demands an understanding of its impact on marketing practice and education. Our hybrid literature review synthesizes 312 peer-reviewed articles on AI in marketing and consumer behavior, using scientometrics and the TCCM (Theory, Context, Characteristics, Methodology) framework. We identify five research areas: human–AI interaction in services, natural language processing (NLP) and computer vision for consumer insights, AI for e-commerce and decision support, marketing automation and creativity, and AI ethics. AI’s evolution is marked by a transition from analytical to empathetic and intuitive technologies like affective computing and generative AI. We highlight the changing dynamics between humans and AI, AI integration in marketing practices and education, and the transformed AI-enhanced marketing workplace. We underscore the significance of ethical considerations, the well-being of users, and the integration of generative AI tools. This review provides a comprehensive guide for forthcoming research, practical applications, and educational advancements in AI-enhanced marketing.

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Publication Details

Journal
Recherche et Applications en Marketing (English Edition)
Published
2024-11-13
DOI
https://doi.org/10.1177/20515707241283311
Citations
9
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
3.13
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article

From analytics to empathy and creativity: Charting the AI revolution in marketing practice and education

Giulia Pavone, Lars Meyer‐Waarden, Andréas Munzel
9 citations
Recherche et Applications en Marketing (English Edition)
AI in Service Interactions
3.13
article

From analytics to empathy and creativity: Charting the AI revolution in marketing practice and education

Giulia Pavone, Lars Meyer‐Waarden, Andréas Munzel
article en
9 citations

Abstract

The rapid advancement of artificial intelligence (AI) increasingly demands an understanding of its impact on marketing practice and education. Our hybrid literature review synthesizes 312 peer-reviewed articles on AI in marketing and consumer behavior, using scientometrics and the TCCM (Theory, Context, Characteristics, Methodology) framework. We identify five research areas: human–AI interaction in services, natural language processing (NLP) and computer vision for consumer insights, AI for e-commerce and decision support, marketing automation and creativity, and AI ethics. AI’s evolution is marked by a transition from analytical to empathetic and intuitive technologies like affective computing and generative AI. We highlight the changing dynamics between humans and AI, AI integration in marketing practices and education, and the transformed AI-enhanced marketing workplace. We underscore the significance of ethical considerations, the well-being of users, and the integration of generative AI tools. This review provides a comprehensive guide for forthcoming research, practical applications, and educational advancements in AI-enhanced marketing.

Recherche et Applications en Marketing (English Edition)Vol. 40(1)
Centre National de la Recherche Scientifique (FR), Université Toulouse-I-Capitole (FR), Vlerick Business School (BE), Kedge Business School (FR)
Openalex Percentile: Top 7%
AI in Service Interactions
3.13
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