معرفی
Jozsef Mezei is a Professor at the School of Business and Economics, Faculty of Social Sciences, Economics and Law, at Åbo Akademi University. His research lies at the intersection of artificial intelligence, information systems, and business analytics, with a strong focus on customer satisfaction, sentiment analysis, and e-commerce platforms.
His research interests include Artificial Intelligence, Machine Learning, Large Language Models, Customer Review Analysis, Fuzzy Logic, and Configurational Methods in digital business environments. He applies computational intelligence techniques to understand user behavior, trust, and satisfaction in online platforms.
The most recent publications highlight a strong trend toward integrating Large Language Models with traditional data analysis frameworks like CRISP-DM and qualitative comparative analysis (QCA), as well as continued innovation in fuzzy systems for sentiment and decision modeling. His work bridges technical AI methods with practical business applications, especially in e-commerce and digital health.
He has contributed to research recognized under the UN Sustainable Development Goals, particularly in digital innovation and inclusive economic growth. While no specific scientific awards are listed, his work has been published in high-impact journals and top-tier conferences such as HICSS and Bled eConference.
Jozsef Mezei supervises academic work, with at least two supervised projects documented. His research is supported by active collaboration networks across Europe, particularly in Finland and neighboring countries. He has developed frameworks combining sentiment analysis with fuzzy logic, applied to areas like mobile banking, recommendation systems, and customer feedback integration.
He is affiliated with research in digital health usage, exploring how information systems facilitate healthcare innovation. His lab or research group appears to focus on intelligent systems for business decision-making, though no explicit lab name is provided. Future work is likely to further explore generative AI, trust modeling, and hybrid AI systems in digital platforms.
