Artificial intelligence and its impact on tourism spending and revenues in Jordan

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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Institutions

Publication Details

Journal
Salud Ciencia y Tecnología - Serie de Conferencias
Published
2025-02-27
DOI
https://doi.org/10.56294/sctconf20251439
Citations
1
Primary Topic
Sharing Economy and Platforms
Type
article
Field-Weighted Citation Impact
2.07

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article

Artificial intelligence and its impact on tourism spending and revenues in Jordan

Nidal Ali Abbas, Mohammad Musa Al-Momani, Tareq Almubaydeen, Khaled Mohammed Al-Sawaie et al.
1 citations
Salud Ciencia y Tecnología - Serie de Conferencias
Sharing Economy and Platforms
2.07
article

Artificial intelligence and its impact on tourism spending and revenues in Jordan

Nidal Ali Abbas, Mohammad Musa Al-Momani, Tareq Almubaydeen, Khaled Mohammed Al-Sawaie, Bilal Alnassar, Israa Musa Al-Momani
article en
1 citations

Abstract

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.

Salud Ciencia y Tecnología - Serie de ConferenciasVol. 4
University of Jordan (JO), Zarqa University (JO)
Zarqa University
Openalex Percentile: Top 14%
Sharing Economy and Platforms
2.07
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Artificial intelligence and its impact on tourism spending and revenues in Jordan — Nidal Ali Abbas, Mohammad Musa Al-Momani, et al. · Salud Ciencia y Tecnología - Serie de Conferencias (2025) | TGRS Research Map | TGRS