Measuring the Influence of Perceived Cybercrime Risk on Online Service Avoidance
Keywords
Bismuth; Computer crime; Internet; Mathematical model; Media; Online banking; Privacy; Consumer Behavior; Economics of Cybercrime; Online Service Avoidance; Perceived Risk; Structural Equation Modeling; Technology Acceptance Model
Cite as
Riek, M., Bohme, R., & Moore, T. (2016). Measuring the Influence of Perceived Cybercrime Risk on Online Service Avoidance. Dependable and Secure Computing, IEEE Transactions on, 13(2), 261–273.Details
Publication type
Research article (journal)
Peer reviewed
Yes
Publication status
Published
Year
2016
Journal
Dependable and Secure Computing, IEEE Transactions on
Volume
13
Issue
2
Pages range
261–273
Language
English
ISSN
1545-5971
DOI
Full text