Exploring healthcare workers’ intentions to volunteer in digital healthcare services for underserved communities: An extended TAM-based study
Full Text (PDF)
Eeman Almokdad 1 , Kamel Mouloudj 2 * , Anuli Njoku 3 , Ahmed Chemseddine Bouarar 2 , Marian A Evans 3 , Dachel Martínez Asanza 4 , Smail Mouloudj 2
More Detail
1 College of Hotel and Tourism Management, Sejong University, Seoul, SOUTH KOREA2 Department of Commercial Sciences, College of Economic, University Yahia Fares of Medea, Medea, ALGERIA3 Department of Public Health, College of Health and Human Services, Southern Connecticut State University, New Haven, CT, USA4 Department of Scientific-Technical Results Management, National School of Public Health, Havana Medical Sciences University, Havana, CUBA* Corresponding Author

Abstract

Underserved communities face persistent challenges due to limited access to healthcare services. Digital volunteering offers opportunities for healthcare professionals to support these populations remotely. This study examined factors associated with healthcare workers’ intentions to participate in digital healthcare volunteering in Algeria. An extended technology acceptance model was used, incorporating perceived organizational support (OS), altruism, and social responsibility. A convenience sample of 142 healthcare workers completed a survey, and hierarchical regression analysis was conducted. Results indicated that perceived ease of use, social responsibility, altruism, perceived OS, and perceived usefulness were each significantly associated with intentions to engage in digital volunteering. The extended model explained 75.6% of the variance in intention, highlighting the relevance of psychological, organizational, and ethical factors. These findings provide insights for policymakers, healthcare organizations, and developers seeking to support digital volunteering initiatives. Limitations include the cross-sectional design and the use of convenience sampling, which may affect generalizability. Future research should consider longitudinal designs, larger and more diverse samples, and cross-cultural comparisons to validate and extend these findings.

Keywords

License

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Original Article

ELECTRON J GEN MED, Volume 23, Issue 1, February 2026, Article No: em714

https://doi.org/10.29333/ejgm/17915

Publication date: 15 Feb 2026

Article Views: 44

Article Downloads: 30

Open Access References How to cite this article