Earticle

초록

영어

As China rapidly enters an aged society, successful aging has become a critical issue for improving the quality of life of older adults. While previous studies have examined demographic, health, family, and socioeconomic factors, the role of digital engagement remains underexplored. This study investigates how internet use patterns are associated with successful aging among older adults in China. Using data from the China Longitudinal Aging Social Survey (CLASS), this study analyzes 11,649 respondents aged 60 and above. Successful aging is measured through five criteria: absence of major disease, independence in activities of daily living, absence of depression, intact cognitive function, and social engagement. Machine learning models are used to identify key predictors, and K-Modes clustering classifies older internet users by frequency of use, digital proficiency, and online activity types. The results show that internet use is an important predictor of successful aging, but its effect depends on usage patterns. Daily use and higher digital proficiency are strongly associated with successful aging, whereas occasional use shows weaker outcomes. Among the four digital engagement profiles, “Elite Users,” characterized by frequent use, high proficiency, and active engagement in information-seeking and life/health-related online activities, exhibit the highest successful aging rate and are more likely to be depression-free and socially engaged. This study shifts the focus from simple digital access to effective digital engagement and suggests that digital inclusion policies should emphasize digital empowerment, skill development, and meaningful online use among older adults.

목차

Abstract
1. Introduction
2. Related Research
2.1 Successful Aging and Its Determinants
2.2 Internet Use, Digital Engagement, and Older Adults’ Well-Being
2.3 Digital Divide and User Profiling
3. Research Framework and Research Questions
3.1 Research Framework
3.2 Research Questions
4. Data, Methodology, and Empirical Results
4.1 Data and Variables
4.2 Analytical Methods
4.3 Machine Learning Model Performance
4.4 Internet Use Frequency and Digital Proficiency
4.5 Digital Engagement Profiles
4.6 User Profiles and Successful Aging Components
5. Conclusion and Remark
5.1 Summary of Findings
5.2 Managerial Implications
5.3 Limitations and Future Research
References

키워드

저자

• Jung Seung Lee [ Associate Professor, Department of Business Administration, Hoseo University ] First Author
• Soo Kyung Kim [ Professor, Department of International Business Administration, PRIMUS International College, Dankook University ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  JITAM [Journal of Information Technology Applications and Management]

• 간기

  격월간

• pISSN

  1598-6284

• eISSN

  2508-1209

• 수록기간

  1999~2026

• 십진분류

  KDC 005 DDC 005