  Phishing is recognised as a serious threat to organisations and individuals.
While there have been significant technical advances in blocking phishing
attacks, people remain the last line of defence after phishing emails reach
their email client. Most of the existing literature on this subject has focused
on the technical aspects related to phishing. However, the factors that cause
humans to be susceptible to phishing attacks are still not well-understood. To
fill this gap, we reviewed the available literature and we propose a
three-stage Phishing Susceptibility Model (PSM) for explaining how humans are
involved in phishing detection and prevention, and we systematically
investigate the phishing susceptibility variables studied in the literature and
taxonomize them using our model. This model reveals several research gaps that
need to be addressed to improve users' detection performance. We also propose a
practical impact assessment of the value of studying the phishing
susceptibility variables, and quality of evidence criteria. These can serve as
guidelines for future research to improve experiment design, result quality,
and increase the reliability and generalizability of findings.
