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Role of Technology Self-Efficacy and Digital Alliance in Digital Mental Health Tool Acceptance Among University Students in Singapore
Open accessAbstract
Mental health challenges, accentuated by stress, are escalating in high-income countries, especially among adolescents and university students. Traditional mental health approaches face issues such as scalability and accessibility, making the emergence of digital tools crucial. However, adherence remains a challenge. This study examines the role of technology self-efficacy and digital alliance in influencing the acceptance of digital mental health tools among Singaporean university students. The results provide strong support for the role of digital alliance as a key factor impacting a student's intention to use mental health tools, as well as technology self-efficacy and digital alliance as serial mediators of task-technology fit and intention to use, highlighting our ever-evolving relationship with technology.
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“SE influenced undergraduate students’ cognitive processes and the intensity and stability of their emotional states when using new technology [58].”
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“SE was widely acknowledged as an essential predictor of students’ technology acceptance because it influences cognitive processing, emotional stability, and perceived ability to manage new technologies [58,59].”
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Cited by
Sorted by citations
Son, N. K., Sangaiah, A. K., Paramarthika, L. K. M., Rajendran, V., Bian, G., & Alenazi, M. J. F. (2025) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2025.3572596 · Cited by 3
“The result of those studies showcases the potential to alleviate the strain on healthcare resources [23], especially when the traditional approach faces issues such as scalability and accessibility [24].”
Zhou, Z., Zhou, Y., Ouyang, B., Man, S. S., & Chan, A. H. S. (2026) · Healthcare · doi:10.3390/healthcare14131978
“SE was widely acknowledged as an essential predictor of students’ technology acceptance because it influences cognitive processing, emotional stability, and perceived ability to manage new technologies [58,59].”
Barrios, P. P., Reales, E. B., Cantillo, L. B., Mendoza, P. S., Conde, W. R. I., & Brochado, E. R. C. (2025) · IEEE Colombian Caribbean Conference (C3) · doi:10.1109/c366505.2025.11340093
“Similarly, studies such as [14] and [15] demonstrated that online group interventions can achieve retention rates above 90% and significant reductions in social anxiety and technos-tress [13], [16], [17], [18], even with small samples of 35 students.”
Hierarchical Graph Convolutional Approach for Detecting Major Depressive Disorder from EEG Signals
Swetha, K., Sriraam, J., G.Ramya, et al. (2025) · International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT) · doi:10.1109/icerect65215.2025.11379821
Dou, D., Huang, B., Chen, Q., Zhou, X., & Wang, C. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1811374 · Cited by 1
Tech-enabled transformation: data science and strategic management in mental health care
Bagate, R. A., Joshi, A. C., Tiwari, K. S., Chilveri, P. G., Dudhedia, M. A., Bombale, G. R., Bhavsar, S. S., Pole, G. S., Pansare, J. R., & Gawande, S. H. (2026) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-026-05102-6
“…Vector Machines, Artificial Neural Networks, multimodal learning systems and EEG-based classifiers (Tseng et al. 2024, Chong et al. 2024, Abinaya and Vadivu 2024, Tan et al. 2024, Su et al. 2024, Gómez et al. 2024, De and Bakhshi 2024, Raman et al. 2024, Alhuzali et al. 2024, Raso et al. 2024).”
Metadata
- Authors
- Tan, T. H. B., Lim, S., & Vun, C. H. N.
- Affiliations
- Nanyang Technological University (SG)
- Venue
- International Journal of Crowd Science
- Publisher
- Tsinghua University Press
- Published
- 2024-08
- Volume
- 8
- Issue
- 3
- Pages
- 101-109
- ISSN
- 2398-7294 (ISSN-L)
- OpenAlex
- W4401691565
- Cited by
- 7
- References
- 0
- Citations by year
- 2026: 3 · 2025: 4
- FWCI
- 2.79
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- International Journal of Crowd Science (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- DR-NTU (Nanyang Technological University) (submittedVersion, cc-by)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
- Keywords
- technology self-efficacy, digital mental health tools, technology acceptance, university students, intention to use, task-technology fit, serial mediation, student mental health, stress, Singapore
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