Year: 2025
Type: conference-paper
Abstract: Paper's objective and research backgroundIn today's competitive business landscape, effective business relationship management (BRM) is essential for organizational success.This paper explores the integration of artificial intelligence (AI) methods to enhance BRM practices.Key concepts such as relationship management, key account management, and customer focus underscore the importance of BRM in modern management strategies.Leveraging a data-driven approach, the research investigates the potential of AI for data analysis and communication within BRM systems. Data/MethodsThrough a comprehensive literature review spanning a decade (2014-2024), this study elucidates the significance of strong relationships in achieving organizational objectives efficiently.Traditional decision-making processes often suffer from knowledge silos and information gaps among stakeholders.To address these challenges, the paper introduces the concept of Collaborative Business Intelligence (CBI).CBI fosters collaboration, knowledge sharing, and improved communication among stakeholders. ResultsThe study proposes a BRM framework that integrates AI techniques and CBI principles.By synthesizing insights from the literature review, the framework emphasizes data-driven performance management, informed decision-making, and continuous improvement in BRM practices.The contributions of this research are translated into actionable recommendations for practical implementation, enhancing the effectiveness and efficiency of BRM strategies in contemporary business environments.
Author: Olga Cherednichenko
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: gold
OpenAlex ID: W4408414935