Exploring Factors Influencing Self-Efficacy in Information Security: An Empirical Analysis by Integrating Multiple Theoretical Perspectives in the Context of Using Protective Information Technologies

Abstract

Self-efficacy in information security (SEIS) is one of the most researched predictors of end user security behavior that hinges on end user acceptance and use of the protective technologies such as anti-virus and anti-spyware. SEIS is also modeled as a mediator between factors affecting SEIS and the end user cybersecurity behavior. However, it is not clearly established in past literature on whether SEIS is better modeled as a predictor or as a mediator. It is stressed in literature that we should find new ways to improve SEIS. Accordingly, the purpose of this research is to empirically investigate what factors influence SEIS, and to examine the relative effect of each theorized factor (including self-efficacy) in increasing information security.