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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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