Leveraging Big Data and AI in Mobile Shopping: A Study in the Context of Jordan

IF 0.7 Q3 COMPUTER SCIENCE, THEORY & METHODS

International Journal of Advanced Computer Science and Applications Pub Date : 2023-01-01 DOI:10.14569/ijacsa.2023.0140725

Maher Abuhamdeh, O. Qtaish, Hasan Kanaker, Ahmad Alshanty, Nidal Yousef, A. Alali

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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.

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在移动购物中利用大数据和人工智能:以约旦为例的研究

-本研究调查了约旦移动购物的现状，以及在此背景下大数据和人工智能技术的整合。一种混合方法的方法，结合定性和定量数据收集技术，用于收集全面的见解。调查问卷分发给105名在约旦从事移动购物的个人。调查结果强调了移动购物的流行，以及人们对移动应用程序作为主要平台的偏好。个性化的产品推荐成为提升移动购物体验的关键因素。受访者对数据共享的隐私问题表示担忧。人们对人工智能虚拟助手的信任度各不相同，这表明了利用人工智能技术的潜力。受访者认识到大数据和人工智能在改善移动购物体验方面的潜力。该研究的结论是，企业可以通过利用人工智能驱动的虚拟助手和优先考虑数据安全来增强移动购物。研究结果有助于了解移动购物动态，并为企业和政策制定者优化移动购物体验和推动约旦数字经济的经济增长提供指导。鼓励未来的研究和实施工作，以利用大数据和人工智能在移动购物领域的潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Advanced Computer Science and Applications COMPUTER SCIENCE, THEORY & METHODS-

CiteScore

2.30

自引率

22.20%

发文量

519

期刊介绍： IJACSA is a scholarly computer science journal representing the best in research. Its mission is to provide an outlet for quality research to be publicised and published to a global audience. The journal aims to publish papers selected through rigorous double-blind peer review to ensure originality, timeliness, relevance, and readability. In sync with the Journal''s vision "to be a respected publication that publishes peer reviewed research articles, as well as review and survey papers contributed by International community of Authors", we have drawn reviewers and editors from Institutions and Universities across the globe. A double blind peer review process is conducted to ensure that we retain high standards. At IJACSA, we stand strong because we know that global challenges make way for new innovations, new ways and new talent. International Journal of Advanced Computer Science and Applications publishes carefully refereed research, review and survey papers which offer a significant contribution to the computer science literature, and which are of interest to a wide audience. Coverage extends to all main-stream branches of computer science and related applications

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