# A Customer-Centric View of E-Commerce Security and Privacy
## 2 Related Work
### Hypothesis Formulation
\begin{table}
\begin{tabular}{c c c} \hline \hline
**Nr.** & **Hypothesis** & **Relevant Study** \\ \hline \multirow{4}{*}{H1} & Gender has an impact on the customers’ perception of the security of online data and trust in & [50; 51] \\  & e-commerce applications. & \\ \hline \multirow{4}{*}{H2} & The age of the customer has an impact on the customers’ perception of the security of online data & [40; 51] \\  & and trust in e-commerce applications. & \\ \hline \multirow{4}{*}{H3} & Computer proficiency level has an impact on the customers’ perception of the security of online data and trust in e-commerce applications. & [51] \\  & and trust in e-commerce applications. & \\ \hline \multirow{4}{*}{H4} & Customers who read privacy policy statements of & \\  & e-commerce websites and review security certificates & \\  & have a positive perception of the security of online & \\  & data and trust in e-commerce applications. & \\ \hline \multirow{4}{*}{H5} & Customers who have a positive perception of the security of online data and trust in e-commerce & [44] \\  & applications are less prone to hacking attacks. & \\ \hline \multirow{4}{*}{H6} & Customers who read privacy policy statements of & \\  & e-commerce websites and review security certificates & \\  & are less prone to hacking attacks. & \\ \hline \multirow{4}{*}{H7} & Customers’ rating of security aspects of e-commerce & \\  & websites reflects the customer’s perception of the & \\  & security of online data and trust in an & \\  & e-commerce application. & \\ \cline{2-2} \cline{2-2}  & Authentication of users by e-commerce websites & [26; 27; 28] \\ \cline{2-2} \cline{2-2}  & Authentication of vendors by customers & [11] \\ \cline{2-2} \cline{2-2}  & Fraud protection provisions & [31; 32] \\ \cline{2-2} \cline{2-2}  & Provision of secure communications by & \\  & e-commerce websites & [26; 27; 28] \\ \hline \multirow{4}{*}{H8} & Customers’ credit card usage concerns reflect the & \\  & customer’s perception of the security of online data & [49] \\  & and trust in an e-commerce application. & \\ \cline{2-2} \cline{2-2}  & Network security issues & [46; 49] \\ \cline{2-2} \cline{2-2}  & Operating systems’ security issues & [46; 49] \\ \cline{2-2} \cline{2-2}  & Applications’ security issues & [49] \\ \cline{2-2} \cline{2-2}  & Unauthorized transaction issues & [29; 30] \\ \cline{2-2} \cline{2-2}  & Fraudulent transaction issues & [29; 30] \\ \cline{2-2} \cline{2-2}  & Disputed vendors & [33] \\ \cline{2-2} \cline{2-2}  & Product quality issues & [33] \\ \hline \multirow{4}{*}{H9} & Customers’ e-commerce usage concerns reflect the & \\  & customer’s perception of the security of online data & [40; 46] \\ \cline{2-2}  & and trust in an e-commerce application. & \\ \cline{2-2} \cline{2-2}  & Concerns over private information provision & [57] \\ \cline{2-2} \cline{2-2}  & Concerns over information misuse & [46] \\ \cline{2-2} \cline{2-2}  & Concerns over lack of control on & \\ \cline{2-2}  & submitted information & \\ \cline{2-2} \cline{2-2}  & Concerns over unintended use of information & [46] \\ \cline{2-2}  & by intruders & \\ \hline \hline \end{tabular}
\end{table} 
Table 1: List of hypotheses and associated constructs.