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Paper Type

ERF

Paper Number

1438

Description

This study investigates the effect of individuals’ information processing modes on phishing email detection mechanisms and accuracy. Drawing on the heuristic-systematic model of processing, mindful decision-making, and affect- and-persuasion literature, this paper examines the antecedents (i.e., heuristic processing, systematic processing, general and domain mindfulness, and affective state) and behavioral consequences (i.e., detection accuracy) in phishing identification. The study uses a survey experiment and collects 556 samples to examine the above (in the process). It aims to contribute to information security literature by identifying novel constructs (ICT mindfulness) and their effect on online users’ information processing capacity and detection accuracy. We also aim to contribute to phishing training and awareness by identifying the function of cognitive and affective factors on phishing detection accuracy. Finally, the affective states might help in improving the efficacy of automatic filters.

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Aug 10th, 12:00 AM

The Interplay of Information Processing, Mindfulness, and Affective State in Phishing Detection

This study investigates the effect of individuals’ information processing modes on phishing email detection mechanisms and accuracy. Drawing on the heuristic-systematic model of processing, mindful decision-making, and affect- and-persuasion literature, this paper examines the antecedents (i.e., heuristic processing, systematic processing, general and domain mindfulness, and affective state) and behavioral consequences (i.e., detection accuracy) in phishing identification. The study uses a survey experiment and collects 556 samples to examine the above (in the process). It aims to contribute to information security literature by identifying novel constructs (ICT mindfulness) and their effect on online users’ information processing capacity and detection accuracy. We also aim to contribute to phishing training and awareness by identifying the function of cognitive and affective factors on phishing detection accuracy. Finally, the affective states might help in improving the efficacy of automatic filters.

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