𝗔𝗜-𝗗𝗿𝗶𝘃𝗲𝗻 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝗦𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗶𝗹𝗶𝘁𝘆

𝗖𝗔𝗟𝗟 𝗙𝗢𝗥 𝗣𝗔𝗣𝗘𝗥𝗦

𝗔𝗜-𝗗𝗿𝗶𝘃𝗲𝗻 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝗦𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗶𝗹𝗶𝘁𝘆

𝗝𝗼𝘂𝗿𝗻𝗮𝗹:
Journal of Strategic Marketing

𝗣𝘂𝗯𝗹𝗶𝘀𝗵𝗲𝗿:
Taylor & Francis Group

𝗠𝗮𝗻𝘂𝘀𝗰𝗿𝗶𝗽𝘁 𝗗𝗲𝗮𝗱𝗹𝗶𝗻𝗲:
30 October 2026

𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗦𝗽𝗲𝗰𝗶𝗮𝗹 𝗜𝘀𝘀𝘂𝗲

Artificial Intelligence (AI) is rapidly transforming marketing practices by reshaping how organizations analyze consumer behavior, design marketing strategies, and engage with customers. Technologies such as machine learning, predictive analytics, generative AI, and intelligent recommender systems are increasingly integrated into marketing decision-making, enabling personalized communication, optimized operations, and enhanced customer experiences.

At the same time, pressing sustainability challenges—including climate change, biodiversity loss, resource depletion, and plastic pollution—require innovative approaches that can drive sustainable consumption and support responsible business practices.

This Special Issue explores the emerging intersection between AI-driven marketing and sustainability. It seeks to advance understanding of how AI technologies can support sustainable futures while also addressing concerns related to ethics, transparency, privacy, algorithmic bias, and environmental impacts.

𝗦𝗰𝗼𝗽𝗲 𝗮𝗻𝗱 𝗙𝗼𝗰𝘂𝘀

The Special Issue welcomes empirical (qualitative and quantitative) and conceptual research examining the opportunities, challenges, governance, and societal implications of AI-driven marketing within sustainability contexts.

Interdisciplinary contributions from marketing, consumer behavior, sustainability studies, information systems, business strategy, and public policy are encouraged.

𝗧𝗼𝗽𝗶𝗰𝘀 𝗼𝗳 𝗜𝗻𝘁𝗲𝗿𝗲𝘀𝘁

𝗔𝗜 𝗮𝗻𝗱 𝗦𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗖𝗼𝗻𝘀𝘂𝗺𝗲𝗿 𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝘂𝗿

• AI nudging and recommender systems promoting sustainable choices
• Consumer trust and acceptance of AI-enabled sustainability initiatives
• AI-driven segmentation for sustainable consumption behavior

𝗔𝗜-𝗘𝗻𝗮𝗯𝗹𝗲𝗱 𝗦𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀

• AI-supported sustainable product innovation and development
• Sustainability branding and communication through AI
• Personalized marketing and responsible consumption

𝗔𝗜 𝗮𝗻𝗱 𝗦𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺𝘀

• Predictive analytics for reducing waste and overproduction
• AI-enabled platforms supporting reuse, repair, sharing, and circular consumption
• Sustainable supply chains and resource optimization

𝗘𝘁𝗵𝗶𝗰𝗮𝗹 𝗮𝗻𝗱 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗹𝗲 𝗔𝗜 𝗶𝗻 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴

• Transparency, fairness, and accountability in AI systems
• Consumer privacy and data ethics
• Governance frameworks for responsible AI implementation

𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗮𝗻𝗱 𝗦𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴

• Sustainability communication and storytelling through generative AI
• Risks of misinformation and greenwashing
• Consumer responses to AI-generated sustainability content
• Sustainable product design and innovation

𝗖𝗿𝗼𝘀𝘀-𝗟𝗲𝘃𝗲𝗹 𝗮𝗻𝗱 𝗣𝗼𝗹𝗶𝗰𝘆 𝗣𝗲𝗿𝘀𝗽𝗲𝗰𝘁𝗶𝘃𝗲𝘀

• Individual behavior change and system-level sustainability transformation
• Policy and regulatory responses to AI-driven sustainability initiatives
• Cross-cultural perspectives on AI-enabled sustainability practices

𝗚𝘂𝗲𝘀𝘁 𝗘𝗱𝗶𝘁𝗼𝗿𝘀

Dr. Pham Van Hau
Unitec Institute of Technology, New Zealand

Professor Carolyn Strong
Cardiff University, United Kingdom

Associate Professor Park Thaichon
University of Southern Queensland, Australia

𝗦𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝗚𝘂𝗶𝗱𝗲𝗹𝗶𝗻𝗲𝘀

• Manuscripts should not exceed 8,000 words (all inclusive).
• Both empirical and conceptual papers are welcome.
• Authors should select “AI-driven Marketing and Sustainability” during submission.
• AI may only be used for language editing purposes (grammar, syntax, and language refinement). AI-generated content is not permitted and may result in immediate rejection.

𝗪𝗵𝘆 𝗦𝘂𝗯𝗺𝗶𝘁?

This Special Issue offers an opportunity to contribute to a rapidly growing research area at the intersection of artificial intelligence, sustainability, and strategic marketing. It aims to generate valuable insights into how AI can support sustainable development while addressing critical ethical, social, and environmental challenges.

𝗣𝗼𝘀𝘁𝗲𝗱 𝗼𝗻 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝗦𝗲𝘁𝘂 𝗔𝗰𝗮𝗱𝗲𝗺𝗶𝗰𝘀 — 𝗣𝗿𝗲𝗺𝗶𝗲𝗿 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗳𝗼𝗿 𝗔𝗰𝗮𝗱𝗲𝗺𝗶𝗰 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀 & 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻

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