Quantitative study examines the impact of socio-environmental factors on cybercrime prevention behaviors in older adults, suggesting targeted interventions for improvement.
This study examined the prevention of cybercrime among older adult smartphone users, emphasizing the interaction of socio-environmental factors (SE), digital capability (DC), and cybercrime preventive behavior (CPB) within an integrated framework. A quantitative methodology was utilized, surveying 500 older adult respondents in the Metropolitan Region of Thailand, using stratified random sampling. using Covariance-Based Structural Equation Modeling (CB-SEM) via jamovi. The structural model demonstrated an acceptable fit with the empirical data (χ2/df=4.90, RMSEA=0.088, SRMR=0.057, GFI=0.98). Findings revealed that SE has a strong, significant direct effect on both DC and CPB. However, DC did not significantly predict CPB, nor did it serve as a mediator. This highlights a crucial capability-behavior gap: possessing digital skills does not automatically translate into protective practices unless directly reinforced by a supportive socio-environmental context. Integrating social capital, socio-ecological, and self-efficacy theories, the study explains the complex pathways connecting social support to digital safety. The findings suggest a shift from solely technical training toward behavior-focused interventions, emphasizing family mentoring, scenario-based exercises, and community support to enhance cyber resilience in aging populations.
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Jintana et al. (2026) studied this question.
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