Please use this identifier to cite or link to this item: https://rfos.fon.bg.ac.rs/handle/123456789/2893
Title: The Role of AI in B2B E-business
Authors: Jafarzadeh, Hesam
Simić, Milica
Barać, Dušan 
Keywords: Artificial Intelligence;B2B E-business;Predictive Analytics
Issue Date: Dec-2024
Publisher: Springer
Abstract: Artificial Intelligence integration into Business-to-Business e-business systems represents a transformative advancement, enhancing operational effi-ciency, predictive capabilities, and customer relationship management. This pa-per explores the role of AI in revolutionizing B2B E-business, focusing on im-plementing AI-driven predictive analytics, automated processes, and advanced decision-making frameworks. By leveraging comprehensive literature reviews and case studies, particularly the Sirvis—a Software as a Service innovative online marketplace initiative—this study highlights AI’s potential to streamline operations, foster innovation, and create competitive advantages in the B2B sec-tor. The research contributes to the growing body of knowledge by providing a detailed model for AI adoption in B2B contexts, offering insights for future im-plementations, and addressing the challenges and opportunities of AI integration in B2B e-businesses.
URI: https://rfos.fon.bg.ac.rs/handle/123456789/2893
Appears in Collections:Radovi istraživača / Researchers’ publications

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