AI-Driven green marketing strategies for eco-friendly tourism businesses

The integration of Artificial Intelligence (AI) into green marketing strategies presents a transformative opportunity for eco-friendly tourism businesses. This study examines the effectiveness of AI-driven marketing techniques in promoting sustainable tourism by leveraging data analytics, machine learning, and predictive modeling. Using a quantitative research approach, we analyze consumer responses to AI-powered marketing campaigns, assessing their impact on eco-conscious purchasing behavior, customer engagement, and brand loyalty. Data was collected from a survey of eco-conscious travelers and analyzed using statistical methods, including regression analysis and machine learning-based sentiment analysis. The findings reveal that AI-driven green marketing significantly enhances consumer awareness and engagement, leading to increased adoption of sustainable tourism options. The results offer valuable insights for tourism businesses seeking to optimize their marketing strategies while maintaining sustainability goals. This research contributes to the growing discourse on AI applications in environmental marketing and provides actionable recommendations for businesses aiming to align profitability with ecological responsibility. Future studies should explore the long-term impact of AI-driven strategies on consumer loyalty and environmental conservation efforts.

Authors

Publication Details

Journal
International Journal of Tourism and Hotel Management
Published
2025-01-01
DOI
https://doi.org/10.22271/27069583.2025.v7.i1a.125
Citations
3
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
12.60
Controls
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article

AI-Driven green marketing strategies for eco-friendly tourism businesses

Shahin Imran, Shahid Hasan, M A Islam, Md. Halimuzzaman et al.
3 citations
International Journal of Tourism and Hotel Management
Digital Marketing and Social Media
12.60
article

AI-Driven green marketing strategies for eco-friendly tourism businesses

Shahin Imran, Shahid Hasan, M A Islam, Md. Halimuzzaman, Sufal Chandra Goldar
article en
3 citations

Abstract

The integration of Artificial Intelligence (AI) into green marketing strategies presents a transformative opportunity for eco-friendly tourism businesses. This study examines the effectiveness of AI-driven marketing techniques in promoting sustainable tourism by leveraging data analytics, machine learning, and predictive modeling. Using a quantitative research approach, we analyze consumer responses to AI-powered marketing campaigns, assessing their impact on eco-conscious purchasing behavior, customer engagement, and brand loyalty. Data was collected from a survey of eco-conscious travelers and analyzed using statistical methods, including regression analysis and machine learning-based sentiment analysis. The findings reveal that AI-driven green marketing significantly enhances consumer awareness and engagement, leading to increased adoption of sustainable tourism options. The results offer valuable insights for tourism businesses seeking to optimize their marketing strategies while maintaining sustainability goals. This research contributes to the growing discourse on AI applications in environmental marketing and provides actionable recommendations for businesses aiming to align profitability with ecological responsibility. Future studies should explore the long-term impact of AI-driven strategies on consumer loyalty and environmental conservation efforts.

International Journal of Tourism and Hotel ManagementVol. 7(1)
Decent work and economic growth
Openalex Percentile: Top 2%
Digital Marketing and Social Media
12.60
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AI-Driven green marketing strategies for eco-friendly tourism businesses — Shahin Imran, Shahid Hasan, et al. · International Journal of Tourism and Hotel Management (2025) | TGRS Research Map | TGRS