Asif Raza

Work place: Department of Computer Science, Bahauddin Zakariya University, Multan, Pakistan

E-mail: Asifraza.raza14@gmail.com

Website: https://orcid.org/0009-0008-8298-9161

Research Interests:

Biography

Asif Raza holds a Master’s degree in Computer Science from Bahauddin Zakariya University, Multan (Pakistan) and currently serves as a researcher and lecturer. With a deep passion for advancing the field of computer science, Asif Raza has been actively involved in both academic and applied research. Their expertise spans across various domains, including Artificial Intelligence, Machine Learning, Data Science, where they have made significant contributions through scholarly publications, conference presentations Their academic journey is driven by a commitment to exploring innovative solutions to complex computational problems, bridging the gap between theoretical advancements and real-world applications.

Author Articles
Analyzing the Impact of Artificial Intelligence on Shaping Consumer Demand in E-Commerce: A Critical Review

By Asif Raza Salahuddin Ghazanfar Ali Muhammad Hanif Soomro Saima Batool

DOI: https://doi.org/10.5815/ijieeb.2025.05.04, Pub. Date: 8 Oct. 2025

The surge in scholarly articles on e-Commerce mirrors its rapid ascent in the market's legitimacy. According to customer product recommendation theory, e-Commerce research may exhibit a bias toward specific customer product recommendations due to its evolving nature. To address this concern, this study examines five of the leading e-Commerce journals. The findings reveal a predominant focus on two main groups: customers and the integration of artificial intelligence (AI) in e-commerce recommendation systems. However, there is a notable lack of attention toward other critical groups, such as suppliers, indirect stakeholders, investors, and regulators. With e-Commerce continuing to mature, it is crucial to explore these neglected themes, sectors, and entities. This paper identifies gaps in current research through targeted keyword searches by aiming to bring these overlooked areas to the forefront. By highlighting persisting challenges in e-Commerce research, this study seeks to raise discourse and innovation in the field by ensuring that emerging topics are not overlooked. The role of AI in e-Commerce, particularly in the development of advanced recommendation systems, is identified as a key area shaping consumer experiences and market dynamics.

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