Skip to content

Journal of AI & Immersive Marketing

· 0 citations · 63 references

TL;DR

An Integrated AI Marketing Knowledge Framework is developed, derived from bibliometric evidence, which synthesizes the field's major knowledge domains into a unified conceptual model explaining how AI capability levels, consumer response mechanisms, and marketing application domains collectively create marketing value.

View source

Similar papers

Review Open access 2026

SEMI-SYSTEMATIC LITERATURE REVIEW ON ARTIFICIAL INTELLIGENCE IN MARKETING: APPLICATIONS, TRENDS AND FUTURE RESEARCH AVENUES

This literature review examines the evolution and development of Artificial Intelligence (AI) in marketing by synthesizing studies published between 2013 and 2024 across diverse marketing applications and contexts. The review identifies a progressive expansion of AI research from marketing planning, content marketing a...

Bushra Siddiqui, Avinash Singh, Deepti Samantaray · 0 citations
Review Open access Aug 2026

The Generative AI Revolution in Digital Marketing: Opportunities, Implementation Barriers, and Strategic Future Directions

It is concluded that GAI offers unique chances for creativity but that its effective use requires a balance between technology efficiency, ethical openness, and strategic human oversight, and that a change towards a more mature governance system is argued.

Nafiz Mahmud Khan, Hisham Mahmood, Sumaiya Akther et al. · 0 citations
Review Open access Sep 2026

The Use of Artificial Intelligence in Digital Marketing: Conceptual Transformation, Strategic Applications, and Future Vision

Aim: This study aims to investigate the strategic integration of artificial intelligence (AI) technologies into digital marketing, systematically analyzing how cognitive computing redefines traditional and extended marketing paradigms. Methodology: Utilizing a structured conceptual review methodology, this study synthe...

Hasan Selçuk Eti, Güvenç Kurul · 0 citations
Aug 2026

A framework for authentic marketing in the age of artificial intelligence

Drawing on global research and industry insights, the paper presents a practical five-part framework to help marketing leaders integrate AI in ways that increase trust, strengthen brand narratives and improve long-term audience relationships.

S. Winter · 0 citations
Review Aug 2026

A Path from Generative AI to Agentic AI in Marketing: A Critical Review, Capability Framework and Future Research Agenda

Purpose. Marketing organizations are moving from prompt-driven Generative Artificial Intelligence (Generative AI) toward agentic systems that plan, act, and adapt across multi-step tasks with limited human supervision. The scholarly literature on this transition is dispersed across marketing, information systems, and c...

Ankita Garg · 0 citations
Review Sep 2026

Mapping scholarly networks in AI-driven advertising research

ABSTRACT Artificial intelligence (AI) applications, including generative AI, large language models (LLMs), and algorithmic recommendations, are driving rapid innovation and penetrating global industries, including marketing communications, with recent advancements reshaping advertising. Although numerous studies exist,...

Juran Kim, Charles R. Taylor, Seungmook Kang et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.