Sykes, T.A., Venkatesh, V., and Gosain, S.
MIS 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.

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