[1]
;
Al-Momani, Israa Musa
[2]
;
Ali Abbas, Nidal
[1]
;
Mohammed Al-Sawaie, Khaled
[1]
;
Yaseen Alnassar, Bilal Ali
[1]
;
Hammad Almubaydeen, Tareq
[1]
Jordania
Jordania
Introduction: The present research investigates the application of tourism AI in Jordan by analyzing the periods from 2020 to 2027. Follow-up research targets destinations to, let's say, market it better and raise the quality of customer service in the scope of tourism activities to increase tourism expenditures. also addresses the optimization of tourist spending by utilizing smart recommendations and data analysis to improve the quality of the services offered.Method: The paper attempts to analyze the gap between the actual figures for tourist expenditure and tourism revenue in 2020, especially 2023, and the expected figures when AI is utilized in central tourism AI in 2024 and 2027. The application of automation systems can cut down costs and give businesses a lean operating framework, which in return allows for more profits to be generated, and this is more important regarding the growth of the tourism economy of Jordan as a whole. Results: This research endeavored to use regression, correlation, structural modeling, variance, and other statistical analyses to test the hypotheses regarding the effects of artificial intelligence on tourism. Conclusion: The final submission implicates the way forward for enhancing the effectiveness of artificial intelligence investment in Jordan's tourism sector to boost competitiveness and make revenue growth.
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