DEVELOPING AI-ENABLED DYNAMIC CAPABILITIES FOR B2B INTERNATIONAL MARKETING: A CROSS-CULTURAL STUDY OF PETROCHEMICAL FIRMS IN NORWAY AND CHINA

Artificial intelligence (AI) transformed marketing practices. However, its application in international B2B remains unexplored, especially in culturally diverse industries. Therefore, the study aimed to explore how petrochemical companies in Norway and China build AI-enabled dynamic marketing capabilities for B2B international marketing, focusing on strategic integration and cultural, behavioral, and organizational outcomes. Based on an interpretive qualitative design, 16 marketing personnel representing Norwegian and Chinese petrochemical companies were interviewed using semi-structured interviews. Thematic analysis showed that Norwegian companies incorporated AI into strategic decision-making, market sensing, and customer targeting. In contrast, Chinese companies applied AI to operational efficiency and process scalability. The adoption behaviors were influenced by cultural factors, where Norwegian professionals emphasized transparency and user autonomy. Meanwhile, Chinese employees depended on managerial approval and hierarchical fusion. In both cases, implementing AI results in role changes where workers could shift to strategic participation. However, culturally specific resistance and adaptation strategies emerged in both countries’ adoption of AI. The results indicate that AI policies should be culturally customized to boost implementation and strategic performance. The study contributes to the theory of dynamic capabilities by adapting cultural mediation and providing insights that managers can use to deploy AI in international B2B marketing with high levels of cultural uniformity.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-18
DOI
https://doi.org/10.5281/zenodo.18684782
Primary Topic
AI in Service Interactions
Type
article
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article

DEVELOPING AI-ENABLED DYNAMIC CAPABILITIES FOR B2B INTERNATIONAL MARKETING: A CROSS-CULTURAL STUDY OF PETROCHEMICAL FIRMS IN NORWAY AND CHINA

Khalifah Almuzayyen
Zenodo (CERN European Organization for Nuclear Research)
AI in Service Interactions
article

DEVELOPING AI-ENABLED DYNAMIC CAPABILITIES FOR B2B INTERNATIONAL MARKETING: A CROSS-CULTURAL STUDY OF PETROCHEMICAL FIRMS IN NORWAY AND CHINA

Khalifah Almuzayyen
article en

Abstract

Artificial intelligence (AI) transformed marketing practices. However, its application in international B2B remains unexplored, especially in culturally diverse industries. Therefore, the study aimed to explore how petrochemical companies in Norway and China build AI-enabled dynamic marketing capabilities for B2B international marketing, focusing on strategic integration and cultural, behavioral, and organizational outcomes. Based on an interpretive qualitative design, 16 marketing personnel representing Norwegian and Chinese petrochemical companies were interviewed using semi-structured interviews. Thematic analysis showed that Norwegian companies incorporated AI into strategic decision-making, market sensing, and customer targeting. In contrast, Chinese companies applied AI to operational efficiency and process scalability. The adoption behaviors were influenced by cultural factors, where Norwegian professionals emphasized transparency and user autonomy. Meanwhile, Chinese employees depended on managerial approval and hierarchical fusion. In both cases, implementing AI results in role changes where workers could shift to strategic participation. However, culturally specific resistance and adaptation strategies emerged in both countries’ adoption of AI. The results indicate that AI policies should be culturally customized to boost implementation and strategic performance. The study contributes to the theory of dynamic capabilities by adapting cultural mediation and providing insights that managers can use to deploy AI in international B2B marketing with high levels of cultural uniformity.

Zenodo (CERN European Organization for Nuclear Research)
Johns Hopkins University (US), University of Baltimore (US)
Openalex Percentile: Top 54%
AI in Service Interactions
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