Reducing the Perceived Risk of E-Government Implementations

Abstract

Perceived risk has been identified by the literature as a limiting factor in e-government adoption and success. However, there has been little effort spent examining how and why perceived risk comes to differ from actual probabilistic risk and the means by which the gap can be reduced. These questions were examined by applying the Social Amplification of Risk Framework to the case of e-government in the United States. Several factors that are known to exacerbate perceived risk were identified from the literature and shown to be in place in the United States. The presence of these factors suggests that more effective risk communication is required in order to realign perceived risk with probabilistic risk. Recommendations on how to improve e-government risk communication through technical and human means are provided.