An empirical investigation of the factors that influence Internet user’s ability to correctly identify a phishing website

Author:

Purkait Swapan,Kumar De Sadhan,Suar Damodar

Abstract

Purpose – The aim of this study is to report on the results of an empirical investigation of the various factors which have significant impacts on the Internet user’s ability to correctly identify a phishing website. Design/methodology/approach – The research participants were Internet users who have had at least some experience of financial transactions over the Internet. This study conducted a quantitative research with the help of a structured survey questionnaire along with three experimental tasks. A total of 621 valid samples were collected and the multiple regression analysis technique was used to deduce the answers to the research question. Findings – The results show that the model is useful and has explanatory power. And adjusted R2 computed as 0.927, means that 92.7 per cent of the variations in the Internet user’s ability to identify phishing website can be explained by the predictors selected for the model. Research limitations/implications – Future research should account for the Internet user’s general security practices and behaviour, attitude towards online financial activity, risk-taking ability or risk behaviour and their potential effects on Internet users' ability to identify a phishing website. Practical implications – The implications of this study provide the foundation for future research on the areas that intend to explain the Internet user’s necessity to take protection or avoid risky behaviour while performing financial transaction over the Internet. Originality/value – This study provides the body of knowledge with an empirical analysis of impact of various factors on an Internet user’s ability to identify phishing websites. The results of this study can help practitioners create a more successful research model and help researchers better understand user behaviour on the Internet.

Publisher

Emerald

Subject

Library and Information Sciences,Management Science and Operations Research,Business and International Management,Management Information Systems

Reference120 articles.

1. Aburrous, M. , Hossain, M.A. , Dahal, K. and Thabtah, F. (2010), “Experimental case studies for investigating E-Banking phishing techniques and attack strategies”, Cognitive Computation, Vol. 2 No. 3, pp. 242-253.

2. Allen, B.R. (1982), “Cognitive factors in human interaction with computers”, Behaviour and Information Technology, Vol. 1 No. 3, pp. 257-278.

3. Altintas, M.H. and Gursakal, N. (2007), “Phishing attacks and perceptions of service quality: a content analysis of Internet banking in Turkey”, Journal of Internet Banking and Commerce, Vol. 12 No. 2, pp. 1-13.

4. Anastasiadou, S. (2006), “Factorial avalidity evaluation of a measurement through principal components analysis and implicative statistical analysis”, in Xatzidimou, D.X. , Mpikos, K. , Stravakou, P.A. and Xatzidimou, K.D. (Eds), 5th Hellenic Conference of Pedagogy Company, Thessaloniki, pp. 341-348.

5. Anderson, K.B. , Durbin, E. and Salinger, M.A. (2008), “Identity theft”, Journal of Economic Perspectives, Vol. 22 No. 2, pp. 171-192.

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