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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

Transformative learningPersonalizationTourismService (business)Customer serviceKnowledge managementComputer sciencePsychologyMarketingBusiness

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