Author
Listed:
- Adriana Burlea-Schiopoiu
- Madalina Maria Dodoc (Ghitun)
Abstract
Our research aims to evaluate the impact of teachers’ behavior on the intention of master students from two generations (Generation Z and Millennials) to participate in volunteering activities. We also aim to assess the factors that influence master students’ motivation toward volunteering activities, how intention mediates the relationship between teachers’ behavior and master students’ motivation, and between the perceived behavioral control of master students and their motivation to be involved in volunteer activities. We collected data online from 412 master students and used structural equation modeling with partial least squares (PLS-SEM) to analyze the data. We found that perceived behavioral control strongly impacts master students’ intention and that age moderates the relationship between intention and motivation. We used the Functional Attitude Theory to support our findings, and we found differences between generations (i.e., teachers’ behavior does not influence Generation Z master students’ intention to volunteer, and teacher’s behavior does not influence the motivational behavior of Millennials master students’ volunteers). Our study has theoretical and practical implications, providing insights for reconfiguring the relationship between teachers and master students. It considers the increasing complexity of factors influencing master students’ volunteering activities. Future research will focus on the mediating role of artificial intelligence in communication between teachers and master students and the advantages of volunteering activities.
Suggested Citation
Adriana Burlea-Schiopoiu & Madalina Maria Dodoc (Ghitun), 2025.
"Generation Z and Millennials: Two Master Students’ Generations With Different Approaches to Volunteering,"
SAGE Open, , vol. 15(3), pages 21582440251, September.
Handle:
RePEc:sae:sagope:v:15:y:2025:i:3:p:21582440251376474
DOI: 10.1177/21582440251376474
Download full text from publisher
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:sae:sagope:v:15:y:2025:i:3:p:21582440251376474. 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: SAGE Publications (email available below). General contact details of provider: .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.