This work examines group transactive memory (TM) systems from a multilevel, network perspective. Based on the emergence framework proposed by Kozloswski and Klein, this work reframes TM theory by providing a clearer articulation of the basic components and fundamental micro-level processes that lead to the development of TM at the macro level. Building on previous social capital (SC) research, the work also proposes a multilevel, multi-theoretical network framework to study how properties of resource exchange networks shape the development of TM systems at both individual and collective levels. At the individual level of analysis, Burt’s structural hole theory, Granovettor’s strength of weak ties theory, Krackhardt’s strength of strong ties theory, and Lin’s social resources theory are utilized to examine how individual SC shapes the development of individual expertise directories. At the collective level, Coleman’s network closure theory is used to analyze the impact of collective SC on the development of TM systems at the macro level. This work also reports results from field research supported in part by the National Science Foundation (NSF-IIS 9980109) of the U.S.

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