Sustain Wise: A Cross-Cultural Artificial Intelligence Model for Predicting Eco-Conscious Consumer Behavior in UAE Hospitality

The increasing urgency of climate change has placed sustainability at the forefront of global policy, business operations, and consumer preferences. In the hospitality industry-particularly within culturally diverse regions like the United Arab Emirates (UAE)-understanding eco-conscious behavior is both a strategic and operational imperative. This paper introduces Sustain Wise AI, a hybrid cross-cultural artificial intelligence model that predicts eco-conscious consumer behavior by integrating demographic survey data, behavioral transaction logs, and social sentiment analysis. The proposed model uniquely incorporates Hofstede's cultural dimensions through a dynamic attention mechanism, allowing it to account for nationality-specific behavioral norms that influence sustainability preferences. To evaluate its performance, SustainWise AI was benchmarked against nine widely used machine learning and deep learning models, including Logistic Regression, Random Forest, XGBoost, and standard Deep Neural Networks. The dataset included structured responses from 3,500 UAE-based hotel guests, 15,000 behavioral log entries, and over 100,000 sentiment-labeled reviews from TripAdvisor and Google. The model achieved superior results across all evaluation metrics: 91.48% accuracy, 92.37% precision, 90.25% recall, 91.30% F1-score, and 94.57% AUC. These results demonstrate the model's robust ability to generalize across heterogeneous cultural backgrounds and behavioral patterns. By fusing textual, transactional, and demographic features with cultural intelligence, Sustain Wise AI provides a scalable solution for eco-targeted marketing, green product customization, and sustainability impact assessments in the UAE's dynamic hospitality landscape. The model's ability to identify nuanced behavioral triggers and culturally conditioned sustainability cues marks a significant advancement in predictive behavioral modeling for sustainable development.