Author
Listed:
- Wenjia Hong
(Hefei University of Technology
Ministry of Education Philosophy and Social Sciences Laboratory for Data Science and Smart Society Governance of Hefei University of Technology)
- Changyong Liang
(Hefei University of Technology
Ministry of Education Philosophy and Social Sciences Laboratory for Data Science and Smart Society Governance of Hefei University of Technology)
- Yiming Ma
(Anhui University of Finance and Economics)
- Junhong Zhu
(Hefei University of Technology
Ministry of Education Philosophy and Social Sciences Laboratory for Data Science and Smart Society Governance of Hefei University of Technology)
Abstract
Amid rapid population aging and the swift progress of artificial intelligence technology, the use of artificial intelligence products (AIPs) can improve older adults’ well-being by helping them integrate into digital society. However, limited research has explored the influence mechanism of this social integration. This study builds a theoretical model to explore the influence mechanism of different sources of intergenerational digital feedback on older adults’ digital social integration (DSI) from personal initiative perspective. An explanatory sequential mixed-method design is used, including a quantitative study (questionnaire survey with 549 respondents) and qualitative study (semi-structured interviews with 11 participants). A structural equation model is used for quantitative data analysis, and the quantitative results are explained by the qualitative results. Our results show that societal feedback has the greatest impact on older adults’ motivation and capability to use AIPs, and that motivation to use has a greater impact on personal initiative than capability to use. In addition, the results confirm that the key to DSI of older adults is their own initiative to use AIPs. Accordingly, this study proposes that the whole society should actively help older adults use AIPs, better integrating them into digital society.
Suggested Citation
Wenjia Hong & Changyong Liang & Yiming Ma & Junhong Zhu, 2025.
"Intergenerational digital feedback and digital social integration of older adults: an empirical study from personal initiative perspective,"
Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-14, December.
Handle:
RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-05518-z
DOI: 10.1057/s41599-025-05518-z
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-05518-z. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.