Sustainability in tourism and hospitality: Artificial intelligence role in eco-friendly practices in Indian hotels

This study explores the impact of artificial intelligence (AI) on the growth and competitiveness of regional tourism and hospitality destinations. AI's application has both positive and negative effects on sustainable tourism. On the positive side, AI enhances accessibility to tourist sites, provides detailed information about attractions, simplifies understanding of costs and amenities, boosts local economies, and increases federal income. A notable downside is the replacement of human workers by machine learning technologies, which may necessitate remedial measures such as training. This review examines AI's foundational IT principles, current applications, and systems in the industry, focusing on the hotel sector. It concludes with an overview of AI’s challenges in this field, proposes a research agenda, and suggests future directions for AI development in tourism and hospitality.

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Publication Details

Journal
Journal of Tourism Theory and Research
Published
2024-08-25
DOI
https://doi.org/10.24288/jttr.1523976
Citations
4
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
4.53
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article

Sustainability in tourism and hospitality: Artificial intelligence role in eco-friendly practices in Indian hotels

Suneel Kumar, Sandeep Guleria, Madhu Kumari
4 citations
Journal of Tourism Theory and Research
Digital Marketing and Social Media
4.53
article

Sustainability in tourism and hospitality: Artificial intelligence role in eco-friendly practices in Indian hotels

Suneel Kumar, Sandeep Guleria, Madhu Kumari
article en
4 citations

Abstract

This study explores the impact of artificial intelligence (AI) on the growth and competitiveness of regional tourism and hospitality destinations. AI's application has both positive and negative effects on sustainable tourism. On the positive side, AI enhances accessibility to tourist sites, provides detailed information about attractions, simplifies understanding of costs and amenities, boosts local economies, and increases federal income. A notable downside is the replacement of human workers by machine learning technologies, which may necessitate remedial measures such as training. This review examines AI's foundational IT principles, current applications, and systems in the industry, focusing on the hotel sector. It concludes with an overview of AI’s challenges in this field, proposes a research agenda, and suggests future directions for AI development in tourism and hospitality.

Journal of Tourism Theory and ResearchVol. 10(2)
Chandigarh University (IN), University of Delhi (IN)
Decent work and economic growth
Openalex Percentile: Top 6%
Digital Marketing and Social Media
4.53
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