of Acceptance with Peer Support: A Social Network Perspective to
Understand Employees' System Use
T.A., Venkatesh, V., and Gosain, S.
Quarterly, 33, 2009, 371-393.
Prior research has extensively studied individual adoption and use
of information systems, primarily using beliefs as predictors of
behavioral intention to use a system, which in turn predicts system
use. We propose a model of acceptance with peer support (MAPS)
that integrates prior individual research with social networks
constructs. We argue that an individual’s embeddedness in
the social network of the organizational unit implementing a new
information system can enhance our understanding of technology
use. An individual’s co-workers can be important sources
of help in overcoming knowledge barriers constraining use of a
complex system; and interactions with others can determine an employee’s
ability to influence eventual system configuration and features.
We incorporate network density (reflecting “get-help” ties
for an employee) and network centrality (reflecting “give-help” ties
for an employee), drawn from prior social network research, as
key predictors of system use. Further, we conceptualize valued
network density and valued network centrality, both of which take
into account ties to those with relevant system-related information,
knowledge and resources, and employ them as additional predictors.
We conducted a 3-month long study of 87 employees. The results
confirmed our theory that social network constructs can significantly
enhance our understanding of technology use over and above predictors
from prior individual-level adoption research.
Return to "Journal Articles" page