Artificial Intelligence (AI) is reshaping Social Capital as a pivotal driver in
global B2B business development. This chapter introduces an AI-driven framework to
enhance Social Capital by clearly defining technical constructs and improving
conceptual accessibility for a broader audience, enabling organizations to navigate
volatile, uncertain, complex, and ambiguous (VUCA) environments. This structured
framework promotes inclusive growth, sustainable ecosystems, and equitable
opportunities, with clearly articulated transitions that facilitate understanding across the
chapter's sections, addressing challenges in developing economies. Building on the
work of Krings, Rodriguez, and Galvan, along with recent studies on graphically
controlled metric spaces and AI applications in secure vehicular networks, the chapter
explores how AI amplifies the triadic dimensions of Social Capital – trust, information
flow, and connectedness – to bridge marketing silos, streamline processes, and drive
measurable performance outcomes. Machine learning, sentiment analysis, and
advanced prospecting leverage large digital networks like LinkedIn to identify highvalue opportunities and optimize marketing-sales coordination. The strategic
integration of AI empowers organizations to optimize resources, overcome
infrastructural challenges, and establish agility and resilience. Case studies highlight
how AI-driven Social Capital fosters innovation, competitive advantage, and
sustainability goals in global markets, particularly emerging economies. The chapter
provides a practical roadmap for integrating AI into Social Capital management,
enabling “pracademics” to achieve resource optimization, performance acceleration,
and sustainability. This comprehensive framework offers a model for growth,
resilience, and innovation in today's evolving digital landscape.
Keywords: AI, B2B development, Competitive advantage, Cognitive alignment, Cross-functional collaboration, Developing economies, Machine learning, Marketing-sales coordination, Network optimization, Performance acceleration, Platform ecosystems, Relational trust, Resilience, Sentiment analysis, Social capital, Structural dimensions, Sustainability, Sustainable ecosystems, Triadic dimensions, VUCA environments.
