Kim, Young Hoon. A knowledge-sharing communication network approach to transactive memory systems in virtual work arrangements. Retrieved from https://doi.org/doi:10.7282/T3SN077T
DescriptionThis study explores the relationships between expertise recognition—which is the key element of transactive memory systems (TMS)—and virtuality, while taking into account the effects of network diversity and network closure. It also examines the relationships between expertise recognition and knowledge-seeking behaviors and between expertise recognition and information-allocation. This study sheds light on the difficulties that individuals may face in establishing TMS in virtual work arrangements. Using hierarchical multiple regression and exponential random graph modeling, this study shows that the two main network properties, network diversity and network closure, not only influence expertise recognition positively but also moderate the effects of the structural aspects of virtuality on expertise recognition. Further, this study identifies alternating bivariate network relationships among the three main elements of TMS—expertise recognition, knowledge seeking, and information allocation—indicating that individuals’ perceptions of others’ expertise shape patterns of knowledge-sharing.