Earticle

초록

영어

In the digital era, the “always-on” nature of social media generates distinct psychological reactions when individuals are offline. Some users experience a persistent urge to stay connected for fear of missing social updates or work-relevant information—the fear of missing out (FoMO)—whereas others gain comfort from disconnection, an experience termed the joy of missing out (JoMO). Although such missing-out experiences are widely studied among adolescents and general employees, they remain underexplored among university faculty, a highly knowledge-intensive group whose work requires continuous learning and academic exchange. This study examines how four facets of the missing-out experience—personal-information missing experience, social missing experience, missing state, and JoMO—affect faculty job performance, and whether work thriving mediates these effects. Drawing on self-determination theory, social comparison theory, and the socially embedded model of thriving at work, an integrated “missing experience–work thriving–job performance” model is constructed. Survey data were collected from faculty at SZ University via an online questionnaire, yielding 106 valid responses, and analyzed using partial least squares structural equation modeling (PLS-SEM). The results show that personal-information missing experience (β = 0.433), missing state (β = 0.283), and JoMO (β = 0.221) significantly and positively predict work thriving, whereas social missing experience exerts a significant negative effect (β = −0.341); work thriving in turn strongly predicts job performance (β = 0.744). The findings indicate that moderate missing-out experiences can stimulate reflective growth and resource-seeking behaviors, while excessive social FoMO depletes psychological resources. The study extends missing-experience research to higher education and offers universities evidence-based guidance for performance management and faculty support.

목차

Abstract
1. INTRODUCTION
2. THEORETICAL BACKGROUND AND HYPOTHESES
2.1. Conceptual foundations
2.2. Hypothesis development
3. RESEARCH MODEL
4. EMPIRICAL ANALYSIS
4.1. Measures and questionnaire design
4.2. Sample and data collection
4.3. Reliability and validity
4.4. Structural model and hypothesis testing
5. DISCUSSION
6. CONCLUSION
7. PRACTICAL IMPLICATIONS
8. THEORETICAL IMPLICATIONS
9. LIMITATIONS AND FUTURE RESEARCH
REFERENCES

키워드

저자

• Xue Han [ School of Management, Suzhou University, Suzhou, China ]
• Pengfei Qin [ School of Management, Suzhou University, Suzhou, China ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  Journal of Digital Intelligence and Management Systems

• 간기

  연3회

• eISSN

  3140-5851

• 수록기간

  2026~2026

• 십진분류

  KDC 569 DDC 620