AI-Powered Personalization and Emotional Intelligence Integration for Enhanced Service Marketing in Transformative Tourism Experiences
Rajeev Semwal, Nandita Tripathi, Ajay Rana, Balam Singh Dafouti, Mahesh Kumar Bairwa, Vipula Mathur
- Year
- 2024
- Citations
- 11
Abstract
Tourism service providers may offer more personalized, sensitive, and emotionally engaging experiences with Artificial Intelligence (AI) and Emotional Intelligence (EI). This paper examines its effects, limitations, and tourist business research opportunities. The research framework shows how AI-driven personalization, emotional intelligence integration, predictive motivation analysis, and dynamic learning and adaptation affect service delivery. Real-world AI and EQ applications in customer service, marketing, sales, operations, and destination management increase consumer engagement, happiness, loyalty, and competitive advantage. Privacy, measurement, assessment, human-machine interaction, technical accessibility, and ethical concerns must be addressed. Further study may be needed to establish ethical frameworks, make technology more accessible, discover a balance between humans and robots, perfect measuring tools, and balance personalization with privacy. Despite these challenges, AI-driven personalization and emotional intelligence could transform the customer experience and spur long-term growth and innovation in the tourism industry.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991