Rengasamy, Renugah and Hamid, Suraya and Gani, Abdullah (2023) International Student Profiling Framework. IEEE Access, 11. pp. 114117-114127. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2023.3323416.
Full text not available from this repository.Abstract
The current conventional way of screening international students, solely based on prior admission and self-reported documents, is inadequate. Given the drastic increase in the number of incoming students, this inadequacy calls for better security surveillance. Therefore, this study investigates how personality traits can influence one's online prosocial behavior, as an alternative screening mechanism for international students. To assess the association between Big Five and Dark Triad personality traits and online prosocial behavior via the mediation of self-esteem, cross-sectional survey data was collected from 218 international postgraduate students and analyzed using partial least squares structural equation modeling. The significant outcome of this study is the establishment of the International Student Profiling Framework, which serves as the basis for understanding the influence of personality traits and self-esteem on international students' online prosocial behavior.
| Item Type: | Article |
|---|---|
| Funders: | Ministry of Higher Education through the Fundamental Research Grant Scheme under Grant FRGS/1/2018/ICT04/UM/02/9 |
| Uncontrolled Keywords: | Personality; big five; dark triad; online prosocial behavior; self-esteem |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Computer Science & Information Technology > Department of Computer System & Technology Faculty of Computer Science & Information Technology > Department of Information System |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 30 Oct 2025 07:30 |
| Last Modified: | 30 Oct 2025 07:30 |
| URI: | http://eprints.um.edu.my/id/eprint/49997 |
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