From the thesis abstract: "The Transportation Security Administration (TSA) is continually under public pressure to improve aviation security screening for air passengers while simultaneously protecting the public from all perceived threats to commercial aviation. Applying acceptance models to predict passengers' intentions to use voluntary security programs could lead to more efficient deployment of technology and procedures or the termination of a security program before significant government resources are dedicated to the program. Accelerated adoption rates of voluntary programs could save the taxpayers millions of dollars and ensure higher levels of security for aviation passengers. Application of acceptance models and diffusion of innovation in government security programs presents a relatively untapped perspective in homeland security and, more specifically, aviation security. This research provides options for modification of the communication plan for TSA's risk-based security policy during its initial implementation stages in 2012. Through application of social behavior prediction models such as the theory of planned behavior, technology acceptance models, and diffusion of innovations, TSA could drastically influence the adoption rate of risk-based security policy, potentially increasing the security effectiveness of aviation security while allowing for faster passenger screening necessary to adjust for expected increased flight loads over the next decade."
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