Modeling the individual technology adoption decision: A synthesis of the quantitative and qualitative literature

The technology adoption research domain has yielded a number of valid predictors of adoption, yet the under-utilization of information systems continues to plague organizations. The primary goal of this research effort is to identify individual and structural variables that may strengthen the predictive validity of tradition technology adoption frameworks. The significance of the research is derived from the fact that minimizing the waste of time and resources on technologies that are fleeting and developing strategies that effectively address the underutilization of technologies continue to be key challenges for organizations. The proposed research contributes to existing knowledge by (1) identifying a core set of predictor variables that may strengthen the predictive validity of traditional adoption frameworks and (2) presenting a comprehensive model of adoption that is theoretically grounded in the quantitative and qualitative literature as a means to gain better insight into the role of individual and structural influences on the adoption decision.