Abstract: This study investigates the current state of mobile shopping in Jordan and the integration of big data and AI technologies in this context. A mixed-methods approach, combining qualitative and quantitative data collection techniques, utilized to gather comprehensive insights. The survey questionnaire distributed to 105 individuals engaged in mobile shopping in Jordan. The findings highlight the popularity of mobile shopping and the preference for mobile apps as the primary platform. Personalized product recommendations emerged as a crucial factor in enhancing the mobile shopping experience. Privacy concerns regarding data sharing were present among respondents. Trust in AI-powered virtual assistants varied, indicating the potential for leveraging AI technologies. Respondents recognized the potential of big data and AI in improving the mobile shopping experience. The study concludes that businesses can enhance mobile shopping by utilizing AI-powered virtual assistants and prioritizing data security. The findings contribute to understanding mobile shopping dynamics and provide guidance for businesses and policymakers in optimizing mobile shopping experiences and driving economic growth in Jordan's digital economy. Future research and implementation efforts are encouraged to harness the potential of big data and AI in the mobile shopping landscape.

Maher Abuhamdeh, Osama Qtaish, Hasan Kanaker, Ahmad Alshanty, Nidal Yousef and Abdulla Mousa AlAli, “Leveraging Big Data and AI in Mobile Shopping: A Study in the Context of Jordan” International Journal of Advanced Computer Science and Applications(IJACSA), 14(7), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0140725

@article{Abuhamdeh2023,
title = {Leveraging Big Data and AI in Mobile Shopping: A Study in the Context of Jordan},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0140725},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0140725},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {7},
author = {Maher Abuhamdeh and Osama Qtaish and Hasan Kanaker and Ahmad Alshanty and Nidal Yousef and Abdulla Mousa AlAli}
}