Exploring the Dynamics of Strong Tie Networks: Overlapping Knowledge and Knowledge Transfer

Abstract

This paper investigates the intricate interplay between strong tie networks, overlapping knowledge domains, and knowledge transfer processes within organizational settings. Strong tie networks, characterized by close and enduring relationships between individuals or groups, play a pivotal role in facilitating knowledge exchange and collaboration. Building upon social network theory and knowledge management literature, this study examines how the presence of overlapping knowledge domains within strong tie networks influences the transfer of tacit and explicit knowledge among network members. Through a mixed-methods approach incorporating qualitative interviews, network analysis, and knowledge mapping techniques, we uncover the mechanisms and boundary conditions that shape the effectiveness of knowledge transfer within strong tie networks. Specifically, we explore how factors such as trust, reciprocity, cognitive diversity, and network density impact the flow of knowledge across overlapping domains. Additionally, we investigate the role of boundary-spanning individuals and structural holes in bridging disparate knowledge silos and fostering cross-domain learning. Our findings shed light on the nuanced dynamics of knowledge transfer within strong tie networks, highlighting both facilitators and barriers to effective knowledge diffusion. Furthermore, we discuss practical implications for organizations seeking to leverage strong tie networks as vehicles for promoting innovation, problem-solving, and organizational learning. By elucidating the complex relationship between network structure, knowledge overlap, and knowledge transfer processes, this research contributes to a deeper understanding of how organizations can harness the potential of their social capital to enhance knowledge sharing and collaboration.