Data Privacy Assurance in Management Information System through Cyber Security Measures

Abstract

In the digital age, safeguarding data within Management Information Systems (MIS) is critical. This study investigates the influence of cyber security measures on data privacy assurance in MIS. Drawing from the Information System Theory, the research examines encryption techniques, firewalls, and intrusion detection systems. The literature underscores the importance of robust cyber security measures. Encryption techniques, firewalls, and intrusion detection systems play pivotal roles in data privacy assurance. Hypotheses are formulated based on theoretical underpinnings and prior research. Methodologically, a stratified random sampling technique gathers data from diverse organizations, resulting in 67 responses. SMART PLS 4 analyzes data considering the exploratory nature of the study. Results reveal the significant impact of encryption techniques and intrusion detection systems on data privacy assurance. Encryption techniques exhibit a positive relationship, while firewalls contribute modestly. A counterintuitive negative relationship between intrusion detection systems and data privacy assurance prompts further investigation. These findings emphasize the multifaceted nature of data privacy assurance in MIS. Organizations are encouraged to leverage encryption techniques and enhance firewall strategies. The unexpected negative impact of intrusion detection systems highlights the complex dynamics of security. This study contributes to discussions on data privacy and security in organizational contexts. Future research should explore underlying mechanisms behind counterintuitive relationships and the intersection of technology and security in MIS