2015
DOI: 10.1016/j.ijlcj.2015.02.003
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The relationship between receiving phishing attempt and identity theft victimization in South Korea

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Cited by 21 publications
(12 citation statements)
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“…There is therefore a need to pick identity theft earlier as Albrecht; Albrecht & Tzafrir 2011found that if identity theft is detected before time, consumers can guard themselves from the immense and tricky costs of identity theft. Paek & Nalla (2015) in Korea their results propose that education level, routine online activities and fright of identity theft victimization are positively associated with identity theft persecution. Concurring to the above it was found that certain routine activities openly influence the possibility of encountering identity theft (Reyns & Henson, 2015).…”
Section: Theoretical Frameworkmentioning
confidence: 90%
“…There is therefore a need to pick identity theft earlier as Albrecht; Albrecht & Tzafrir 2011found that if identity theft is detected before time, consumers can guard themselves from the immense and tricky costs of identity theft. Paek & Nalla (2015) in Korea their results propose that education level, routine online activities and fright of identity theft victimization are positively associated with identity theft persecution. Concurring to the above it was found that certain routine activities openly influence the possibility of encountering identity theft (Reyns & Henson, 2015).…”
Section: Theoretical Frameworkmentioning
confidence: 90%
“…Previous research has indicated that various demographic indicators have a significant impact on online fraud victimization. Age (Pratt et al, 2010;Ngo and Paternoster, 2011;van Wilsem, 2011;Leukfeldt and Yar, 2016), gender (Holtfreter et al, 2008;Garg and Nilizadeh, 2013;Holt, 2013;Choi, Choo, and Sung, 2016), marital status (Pratt et al, 2010), educational level (Pratt et al, 2010;van Wilsem, 2011van Wilsem, , 2013avan Wilsem, , 2013bPaek and Nalla, 2015), were correlates of online fraud victimization. Annual household income was also associated with an increased risk of victimization.…”
Section: Online Fraud Victimizationmentioning
confidence: 99%
“…Annual household income was also associated with an increased risk of victimization. Empirical evidence suggested that Internet users' with higher annual household income were more likely to be a victim of cybercrime (Pratt et al, 2010;van Wilsem, 2011van Wilsem, , 2013avan Wilsem, , 2013bPaek and Nalla, 2015). Additionally, Schoepfer and Piquero (2009) found that age was a negative predictor of credit card fraud, which means that young people are at the increased risk of being the victim of credit card fraud.…”
Section: Online Fraud Victimizationmentioning
confidence: 99%
“…Since the results of previous cybercrime studies indicated the impact of demographic characteristics on the risk of becoming a victim of cybercrime (Choi et al, 2016;Paek and Nalla, 2015;van Wilsem, 2013a), a quota sampling strategy was adapted to obtain a demographically balanced sample.…”
Section: Datamentioning
confidence: 99%