Data modeling positive security behavior implementation among smart device users in Indonesia: A partial least...

Area of Science:

• Behavioral Science
• Information Security
• Human-Computer Interaction

Background:

• Smart device adoption is rapidly increasing globally, particularly in emerging economies like Indonesia.
• Understanding user security behaviors is crucial for mitigating risks associated with smart devices.
• Existing research often overlooks the specific socio-cultural context of Indonesian smart device users.

Purpose of the Study:

• To investigate factors influencing positive security behaviors among Indonesian smart device users.
• To determine the direct and mediating roles of various psychosocial and external factors.
• To apply the Theory of Planned Behavior to model smart device security practices.

Main Methods:

• Quantitative research employing a structured online questionnaire distributed across 19 Indonesian provinces.
• Data analysis using Structural Equation Modeling (SEM) via Smart PLS software.
• Validated reliability and confirmed validity of the collected data.

Main Results:

• Government efforts, privacy concerns, and perceived behavioral control showed a direct positive influence on security behaviors.
• Technology provider support, trust, attitudes, and subjective norms acted as significant mediating variables.
• The proposed model effectively explained the implementation of positive security behaviors.

Conclusions:

• Direct interventions focusing on government initiatives, privacy education, and enhancing perceived control can improve user security.
• Leveraging mediating factors like trust and subjective norms can further strengthen security practices.
• Findings offer valuable, context-specific insights for policymakers and technology providers in Indonesia and similar regions.