Shuang Du
Biographic Data
| ID | 7183646 |
|---|---|
| NAME | Shuang Du |
| GIVEN NAMES | Shuang |
| FAMILY NAME | Du |
| SIGNATURE | DU S |
| ORCID | 0000-0001-8778-735X |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
The effectiveness of artificial intelligence health education accurately linking system on self-management in non-specific lower back pain patients
Background: Integrating artificial intelligence (AI) with mobile health is revolutionizing chronic disease management. Non-specific lower back pain (NSLBP), a leading worldwide disabling condition, negatively impairs patient quality of life and psychological status. Standard treatments, mostly pharmacological and physiotherapies, do not offer long-term support for self-management. Consequently, we developed the AI-Health Education Accurately Link…
E-tailing service recovery and customer satisfaction and loyalty
We built an e-tailing service recovery research framework to explore the effect of online service recovery on postrecovery customer satisfaction and loyalty after service failure. We also investigated the mediating role of customer perceived distributive justice in the relationship between service recovery and recovery effects. We conducted a survey with 330 undergraduate students in Beijing. The results showed that both psychological and tangibl…
No prominent works on this page.
E-tailing service recovery and customer satisfaction and loyalty
We built an e-tailing service recovery research framework to explore the effect of online service recovery on postrecovery customer satisfaction and loyalty after service failure. We also investigated the mediating role of customer perceived distributive justice in the relationship between service recovery and recovery effects. We conducted a survey with 330 undergraduate students in Beijing. The results showed that both psychological and tangibl…
The effectiveness of artificial intelligence health education accurately linking system on self-management in non-specific lower back pain patients
Background: Integrating artificial intelligence (AI) with mobile health is revolutionizing chronic disease management. Non-specific lower back pain (NSLBP), a leading worldwide disabling condition, negatively impairs patient quality of life and psychological status. Standard treatments, mostly pharmacological and physiotherapies, do not offer long-term support for self-management. Consequently, we developed the AI-Health Education Accurately Link…
Alternative medicine (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Back pain (1 work) · Business (1 work) · Customer satisfaction (1 work) · Customer Service Quality and Loyalty (1 work) · Digital Mental Health Interventions (1 work) · Distributive justice (1 work) · Economic Justice (1 work) · Health education (1 work)