Ready. Set. AI: a systematic literature review exploring AI antecedents in international marketing

Purpose The increasingly competitive landscape for multinational enterprises (MNEs) necessitates adaptation beyond traditional international marketing approaches. Advanced digital technologies, such as artificial intelligence (AI), may need to be integrated to sustain competitiveness and seize emerging opportunities. AI offers several potential benefits, including enhanced customer engagement, improved decision-making capabilities and operational efficiency; however, significant constraints often limit organisations from realising their full potential. To address these challenges, this review introduces the AI Readiness Acceleration Framework, developed from a systematic literature review, examining the role of AI antecedents in enhancing international marketing capabilities in MNEs. Design/methodology/approach A systematic literature review was conducted, encompassing existing literature with a sample of 110 articles published between 2012 and 2025. The method was chosen to integrate research systematically, transparently and reproducibly, ensuring an evidence-based examination of the literature. The inductive approach for concept development was applied to develop a grounded theory and to design an integrated framework. Findings This framework consists of components such as external AI antecedents (AI regulatory environment readiness, AI customer readiness), internal antecedents (AI organisational blueprint, AI infrastructure readiness and AI workforce readiness) and output (international marketing performance). Originality/value The systematic literature review identified AI antecedents that have an impact on MNE performance in international marketing, resulting in a novel guiding framework. This framework aims to guide MNE executives and international marketing practitioners in achieving AI readiness and integration to improve international marketing performance. In addition, this study outlines future research opportunities for international marketing in MNEs structured around the proposed framework.

Authors

Institutions

Publication Details

Journal
International Marketing Review
Published
2025-12-12
DOI
https://doi.org/10.1108/imr-10-2024-0420
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ready. Set. AI: a systematic literature review exploring AI antecedents in international marketing

Dominik K. Kanbach, Sascha Kraus, Justin Siljeur, Julia Quiel
International Marketing Review
Big Data and Business Intelligence
article

Ready. Set. AI: a systematic literature review exploring AI antecedents in international marketing

Dominik K. Kanbach, Sascha Kraus, Justin Siljeur, Julia Quiel
article en

Abstract

Purpose The increasingly competitive landscape for multinational enterprises (MNEs) necessitates adaptation beyond traditional international marketing approaches. Advanced digital technologies, such as artificial intelligence (AI), may need to be integrated to sustain competitiveness and seize emerging opportunities. AI offers several potential benefits, including enhanced customer engagement, improved decision-making capabilities and operational efficiency; however, significant constraints often limit organisations from realising their full potential. To address these challenges, this review introduces the AI Readiness Acceleration Framework, developed from a systematic literature review, examining the role of AI antecedents in enhancing international marketing capabilities in MNEs. Design/methodology/approach A systematic literature review was conducted, encompassing existing literature with a sample of 110 articles published between 2012 and 2025. The method was chosen to integrate research systematically, transparently and reproducibly, ensuring an evidence-based examination of the literature. The inductive approach for concept development was applied to develop a grounded theory and to design an integrated framework. Findings This framework consists of components such as external AI antecedents (AI regulatory environment readiness, AI customer readiness), internal antecedents (AI organisational blueprint, AI infrastructure readiness and AI workforce readiness) and output (international marketing performance). Originality/value The systematic literature review identified AI antecedents that have an impact on MNE performance in international marketing, resulting in a novel guiding framework. This framework aims to guide MNE executives and international marketing practitioners in achieving AI readiness and integration to improve international marketing performance. In addition, this study outlines future research opportunities for international marketing in MNEs structured around the proposed framework.

International Marketing Review
University of Siegen (DE), University of Johannesburg (ZA), Stellenbosch University (ZA), HHL Leipzig Graduate School of Management (DE), Warsaw Management University (PL)
Openalex Percentile: Top 43%
Big Data and Business Intelligence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.