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DOES AWARENESS, TRAINING AND ADAPTING TO CYBER RISKS REDUCING COMPUTER FRAUD? EVIDENCE FROM JORDANIAN BANKING SECTOR

Authors: MOHAMMAD HAMDAN; MANSOUR ALKHAZALEH; ZAID JARADAT;

DOES AWARENESS, TRAINING AND ADAPTING TO CYBER RISKS REDUCING COMPUTER FRAUD? EVIDENCE FROM JORDANIAN BANKING SECTOR

Abstract

Abstract: This paper seeks to investigate the mediating effect of adapting to cyber risks on the relationship between awareness and training and reducing computer fraud, based on a literature review covering the works specializing in cyber risks and fraud. The scope of the study encompasses the Jordanian banking sector, and the internal auditors and IT auditors were identified as the respondents for the questionnaire survey. The findings reveal a significant effect of awareness and training in reducing computer fraud. Also, adapting to cyber risks mediates the relationship between awareness and training and reducing computer fraud. Therefore, it is very necessary to increase awareness and training for the employees of the banking sector in particular by having the appropriate software skills to avoid falling into the trap of cyber security violations that incur them. Aside from enriching the knowledge on cybersecurity risks and fraud in the banking sector, this study can stand to deliver large benefits to the cyber security community.

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Keywords

cyber-security risks, awareness and training, computer fraud, protection motivation theory.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average