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Social-psychological research on phishing has implicated ineffective cognitive processing as the key reason for individual victimization. Interventions have consequently focused on training individuals to better detect deceptive emails. Evidence, however, points to individuals sinking into patterns of email usage that within a short period of time results in an attenuation of the training effects. Thus, individual email habits appear to be another predictor of their phishing susceptibility. To comprehensively account for all these influences, we built a model that accounts for the cognitive, preconscious, and automatic processes that potentially leads to phishing-based deception. The resultant suspicion, cognition, and automaticity model (SCAM) was tested using two experimental studies in which participants were subjected to different types of emailbased phishing attacks.

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The study attempts to unify prior research and develop a comprehensive, empirically based conceptual model of the barriers to EHR adoption among community physicians. The model uses concept mapping, which taps the shared expertise of a group and provides reliable estimates with relatively small sample sizes. The methodology includes brainstorming of barrier statements and sorting and rating of issue statements. The model illuminates the larger structure of barriers as well as the finer details of constituent issues. Core issues are standardization and interoperability; also important are technical issues and the cost-benefit of adopting EHRs. However, psychosocial issues, the main focus of diffusion research, seem relatively peripheral. We believe the development of this model is an important first step in creating effective and measurable interventions that enhance the adoption of EHRs in healthcare.