Generative AI Usage, Data Privacy Awareness and Information Security Behavior Among Management Students

The rapid uptake of GenAI technologies such as ChatGPT, Gemini and others is affecting the way that students access information, prepare assignments, generate ideas, and communicate. In this case, GenAI is particularly important for management students because of the growing importance of digital literacy and use of data for making decisions in managerial positions in the future. On the other hand, the increased usage of GenAI is causing new concerns related to privacy, data security and misuse of confidential information. This study aims to explore the relationship between Generative AI Usage (GAIU), Data Privacy Awareness (DPA) and Information Security Behavior (ISB) among management students. The proposed study will use a quantitative, cross-sectional survey research design. The conceptual framework suggests that frequency and purposes of GenAI usage by students could influence their awareness about data privacy and information security measures. Further, Data Privacy Awareness is likely to have a positive effect on Information Security Behavior. The proposed research may use a Likert-scale questionnaire among undergraduate and postgraduate management students. As a demonstration of statistical analysis methods that would be used in this study, an illustrative dataset among 300 participants is provided. Descriptive statistics, reliability analysis, correlation analysis and multiple regression will be utilized. Illustrative results show that students may exhibit relatively high level of GenAI usage and relatively low privacy awareness and information security behavior. The suggested model suggests that data privacy awareness is likely to become one of the predictors of safe digital behavior. This study is going to contribute to the ongoing debate on responsible adoption of AI in higher education institutions.