Artificial Intelligence Techniques in Egyptian Hotels: Current Status and Prospective

Document Type : Original Article

Author

Hotels department, faculty of tourism and hotels mansoura university, mansoura, Egypt

Abstract

The pioneers of AI in the hotels when adoption artificial intelligence techniques, they will face different reaction concerns and questions from employees about this innovative artificial intelligence technique. This research aims to explore the current status and prospective to apply artificial intelligence techniques in Egyptian hotels, and their willingness to merge with employees' within Egyptian hotels and the challenges they face while using it, to achieve the research aim, an electronic questionnaire was designed and distributed to a random sample of employees' in Egyptian hotels, 400 valid responses were received and analyzed by SPSS V.29. The results indicated that Egyptian employees' do not have enough information about artificial intelligence techniques to accept the experience of artificial intelligence techniques in the future. This information includes advantages, risks, and artificial intelligence techniques substitution for the human element, Therefore, maybe employees' no acceptance and confidence in artificial intelligence techniques is the major obstacles to the adoption process of this innovative techniques in Egyptian hotels. Based on the results, some recommendations were suggested and directed to artificial intelligence techniques (AIT) professionals, hotel managers, hotels owners and the government and institutions responsible for revitalizing tourism and hotels in Egypt. One of the main recommendations was that the work in the concerned departments must be restructured and developed in terms of digital transformation, digitization, and service automation in terms of speed, goal achievement, ease of use, prices, and the institutional and intellectual readiness of department managers to provide their services in this context. Employees in the hotels industry should receive training in entrepreneurship, business administration, and innovation to link changes in smart technology and artificial intelligence techniques to the international hotel industry.

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