No abstract

No abstract

Entrepreneurs are valuable assets because of their enormous contribution to their nations’ economy through creating new ventures and job opportunities. The entrepreneurship literature is informative with respect to what drives individuals to become entrepreneurs. However, it does not shed light on IT-related factors that can explain and predict entrepreneurial intention. The current study investigates the technological perspective and develops a theoretical model that extends the theory of planned behavior (TPB) by incorporating cognitive and emotional IT-related factors into established entrepreneurial models. More specifically, the developed model explains how general computer self-efficacy and computer anxiety can influence entrepreneurial intention. The study provides interesting results, as it compares two models generated for entrepreneurs and non-entrepreneurs. Contributions are communicated to both academia and industry.

Social engineering has become one of the biggest security threats facing organizations. Rather than relying upon information security technical-related shortcomings to break into computer networks, social engineers make use of employees' individual and organizational traits to deceive them. In such a scenario, it is crucial for organizations to ensure that their employees not only possess sound knowledge about information security but also about the concept of social engineering and threats emerging from social engineering attacks. This study aims to test whether awareness of social engineering can predict and explain individuals' securityprotective practices. We conducted a survey of 265 employees working in different organizations in Saudi Arabia. The results suggest that awareness of social engineering is a positive predictor of security-protective practices above and beyond the predictability power of possessing information security knowledge. Thus, to reduce the probability of potential consequences of social engineering attacks, our study suggests that organizations should not only strive to enhance employees' security knowledge but should also invest in increasing employees' awareness of social engineering.

Policy-oriented Abstract Data privacy is one of the most pressing issues today. The world is thirsty for novel, effective, and efficient policies to strike an appropriate balance between protecting individuals’ privacy and creating economic value from their personal information. Whereas governmental efforts, such as the enaction of General Data Protection Regulation, California Consumer Privacy Act, and other privacy regulations, have been pushing boundaries to strike this balance, the effects of these types of initiatives on individuals’ privacy awareness and behavior are uncertain, likely to be nuanced, and will take time to sort out. In this paper, we explain the privacy paradox, a phenomenon with important implications that apply to policymakers, industry professionals, and individuals. The privacy paradox refers to a mismatch between individuals’ stated privacy concerns and their actual disclosure behaviors. In three behavioral experiments, we show how the paradox is revealed when individuals are cognitively tired especially when they are in a good mood. These findings do not indicate that individuals do not care about privacy because they do when they are not cognitively tired especially when they are in a bad mood. By explaining the privacy paradox, we inform existing and future privacy policies to strike that balance we all strive for.