Social Capital

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.

Autorentext

Y. Connie Yuan (Ph.D., University of Southern California, 2004)
is an Assistant Professor in the Departments of Communication and
Information Science at Cornell University. Her current research
interests focus on knowledge management, social network analysis,
and computer-supported collaboration in distributed teams.

Klappentext

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.