AI-enabled technologies to assist Muslim tourists in Halal-friendly tourism

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Abstract

Purpose: This paper aims to present a theoretical account of the connection between artificial intelligence (AI) enabled technologies and Muslim-friendly tourism experiences (MFTX) using the customer experience (CX) theory, reference group theory and theory of tourism consumption systems. Design/methodology/approach: A model research design is adopted to build a theoretical framework that predicts relationships between constructs. Critical assessment in tourism and AI literature is used to explore AI-enabled technologies in Halal-friendly tourism. Findings: The findings of this paper have conceptualised the CX theory for Muslim travellers satisfying their religious needs in Halal-friendly tourism by suggesting a new construct called the MFTX. It also offered a theoretical model for using AI-enabled technologies to improve the MFTX. Originality/value: This study provides a new theoretical model for using AI-enabled technologies to improve the MFTX. This paper is also expected to provide suggestions for tourism operators and service providers to cater to Muslim tourists’ needs using AI technologies.

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APA

Battour, M., Mady, K., Salaheldeen, M., Elsotouhy, M., Elbendary, I., & Boğan, E. (2023). AI-enabled technologies to assist Muslim tourists in Halal-friendly tourism. Journal of Islamic Marketing, 14(5), 1291–1309. https://doi.org/10.1108/JIMA-01-2022-0001

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