Earticle

초록

영어

The overall feeling of security decreases depression negatively and increases subjective well-being positively. As artificial intelligence (AI) advances, significant changes in information technology (IT) give rise to various health-related concerns among individuals, such as the overall feeling of security, due to the radical impact. To address this concern, the Protection Motivation Theory is applied. Data from 185 valid respondents were gathered and analyzed using PLS analysis. The results indicate that job stability, optimism towards AI, and innovativeness of AI significantly and positively influence individuals’ overall feeling of security. However, the impact of job displacement by AI, fear of AI, and self-efficacy of AI on this sense of security was found insignificant. Notably, having a background in information technology negatively impacted individuals’ overall feeling of security. Finally, the protection motivation and psychological health present partially different patterns across genders. The results show that people tend to feel secure when they perceive job stability. However, the impact of being optimistic and innovative of AI differs across genders. These findings underscore the vital importance of AI implementation in the transformation of gender-technology relations. This offers valuable insights for governments’ managing people's psychological health and balancing gender-technology relations amidst profound changes driven by AI.

목차

ABSTRACT
Ⅰ. Introduction
Ⅱ. Literature Background and Hypotheses
2.1. The Protection Motivation Theory
2.2. The Impact of Job Displacement by AI, Fear of AI, Background Related to Information Technology and Job Stability on the Overall Feeling of Security
2.3. The Impact of Enablers of Technology Readiness and Self-efficacy of AI on the Overall Feeling of Security
2.4. Gender-technology Relation
Ⅲ. Research Method
3.1. Construct Definitions and Measures
3.2. Data Collection
Ⅳ. Data Analysis
Ⅴ. Discussion
Ⅵ. Conclusions and Implications
6.1. Conclusions
6.2. Theoretical Implications
6.3. Practical Implications
Ⅶ. Limitations and Future Research
Acknowledgment
Declaration of Conflicting Interests

키워드

저자

• Hsiu-Ju Chen [ Professor, Department of Information Management, I-Shou University. Taiwan ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  Asia Pacific Journal of Information Systems

• 간기

  계간

• pISSN

  2288-5404

• eISSN

  2288-6818

• 수록기간

  1990~2026

• 등재여부

  KCI 등재,SCOPUS

• 십진분류

  KDC 325 DDC 658