ARTIFICIAL INTELLIGENCE IN B2B RELATIONSHIP DISSOLUTION: A BIBLIOMETRIC ANALYSIS OF TRENDS, THEMES, AND FUTURE DIRECTIONS

Abstract

The necessity to maintain robust inter-firm (B2B) alliances in competitive environments has propelled the
assimilation of artificial intelligence (AI) as a prognostic instrument to alleviate the dissolution of relationships. This
bibliometric study analyzes 666 Scopus-indexed articles using co-citation and keyword analyses, identifying key
trends such as AI's role in predictive analytics, supply chain resilience, and customer churn management. It highlights
influential contributors and reveals dominant themes, including AI-driven forecasting, behavioral insights, and
ethical considerations. Emerging tendencies, such as Explainable Artificial Intelligence (XAI) and extensive data
amalgamation, signify a transition toward more elucidative and flexible resolutions. The study offers actionable
insights for scholars and practitioners to foster flexible, value-driven B2B ecosystems.