Lecture Notes in Electrical Engineering, 331, 577-584 (2015)
27 Pages Posted: 20 May 2015
Date Written: July 7, 2014
In order to prevent corruption in Indonesia, the use of anti-corruption e-learning needs to be optimized and to reach young generation whose life nowadays mostly inseparable from the internet connections. The aim of this research is to identify predictor variables of perceived risk of anti-corruption e-learning. When risk perception is low, attitude toward e-learning is expected to be more positive. This psychotechnological research employs predictive correlational design, with the predictors (1) email phishing literacy and (2) anomia. The participants of this research were 71 students of faculty of psychology at a private university in Jakarta, Indonesia (20 males, 51 females; Mean of age = 19.93 years old; Standard Deviation of age = 1.397 years old). The data were analyzed by using simple linear regression analyses. Results of this research show that both variables are able to predict perceived risk of anti-corruption e-learning, consecutively in negative and positive ways.
Keywords: Psychology of e-Learning, Anti-corruption, Phishing literacy, Anomia
JEL Classification: K42, C91, I12
Suggested Citation: Suggested Citation
Abraham, Juneman and Sharron, Sharron, Perceived Risk of Anti-Corruption E-Learning, Email Phishing Literacy, and Anomia (July 7, 2014). Lecture Notes in Electrical Engineering, 331, 577-584 (2015) . Available at SSRN: https://ssrn.com/abstract=2607124