This research focuses on the development of a model for evaluating the human impact that password authentication issues are having on the security of information systems. Through observational analysis, organizational policy, and retrospective analysis, researchers created a model for predicting the vulnerability that a particular set of conditions will have on the likelihood of error in an information system. The methodology for the experiment and analysis of the results are presented. The findings indicate that human error associated with password authentication can be significantly reduced through the use of passwords which are comprised of meaningful data for the user and which meet the information technology community requirement for strength of password. The details of this study are provided as well as the human factors implications in information security.
The objective of the study is to understand the relationships between each of the Big Five Personality Traits and the concept of brand evangelism. The hypotheses tested are whether brand evangelism relates to each of the Big 5 Personality Traits consisting of extraversion, openness, conscientiousness, neuroticism and agreeableness. A brand evangelist frequently exhibits a strong desire to influence consumption behavior. The research method of this study was based on the implementation of 528 self-administered questionnaires. The results include descriptive characteristics, Cronbach's alphas, correlations and a multivariate regression model for testing the hypotheses. The results of the overall regression model show significance. Brand evangelism is significantly related to extraversion, openness and neuroticism. Future research is also discussed as understanding these personality traits and what drives individuals with these traits to become brand evangelists can strengthen a company's success with its brand(s).
This research evaluates the human impact that password authentication issues have on the security of information systems within organizations. This research resulted in the creation of password guidelines for authentication with passwords based on Miller's (1956) and Cowan's (2001) chunking theory research and a model for predicting the vulnerability that a particular set of conditions have on the likelihood of error in an information system. The findings indicate that human error associated with password authentication can be significantly reduced through the use of passwords that are composed of meaningful data for the user and that meet technical requirements for strong passwords.
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