AI-driven marketing and Sustainability

Editors

  • Pham Van Hau, Unitec Institute of Technology
  • Carolyn Strong, Cardiff University
  • Park Thaichon, University of Southern Queensland

Description

This special issue focuses on the emerging intersection of artificial intelligence and sustainable marketing. AI technologies like machine learning and predictive analytics are rapidly transforming marketing practices, while sustainability challenges demand new approaches to shift consumption patterns and market systems. The special issue seeks research examining how AI-driven marketing influences sustainability outcomes at individual, organizational, and system-wide levels.

The integration of AI in marketing presents both opportunities and challenges for sustainability. AI tools can enable personalized sustainability nudges, improve resource efficiency, and support circular economy initiatives. However, concerns include algorithmic bias, privacy issues, transparency challenges, and the risk of reinforcing unsustainable consumption through hyper-personalized marketing. Understanding these dynamics is critical to ensure AI contributes positively to sustainable futures rather than exacerbating environmental and social challenges.

Extrait. Lire l'appel complet sur le site de l'éditeur.

Potential topics

  • AI nudging and recommender systems that encourage sustainable choices
  • Consumer perceptions, trust, and acceptance of AI-enabled sustainability initiatives
  • AI-driven segmentation for targeting sustainable consumption behaviours
  • AI insights supporting sustainable product innovation and development
  • AI applications in sustainability branding and communication
  • Personalised marketing and its influence on responsible consumption
  • Predictive analytics for reducing waste and overproduction
  • AI-enabled platforms supporting reuse, repair, sharing, and circular consumption
  • Transparency, fairness, and accountability in AI-driven marketing systems
  • Consumer privacy and data ethics in sustainability-focused marketing
  • Governance frameworks for responsible AI use in marketing
  • Generative AI and sustainability communication
  • Digital platforms enabling collaborative or sustainable consumption
  • AI shaping sustainability narratives and consumer engagement
  • Interactions between individual behaviour change and system-level transformation
  • Policy and regulatory responses to AI-driven sustainability initiatives
  • Cross-cultural perspectives on AI-enabled sustainability practices
  • Role of generative AI in sustainability communication and storytelling
  • Risks of misinformation or greenwashing through generative AI
  • Consumer responses to generative AI–generated sustainability content
  • Use of generative AI in sustainable product design and innovation