THE IMPACT OF DIGITAL LITERACY ON DIGITAL ENTREPRENEURIAL INTENTION AMONG VIETNAMESE UNIVERSITY STUDENTS: THE SERIAL MEDIATING ROLES OF SELFEFFICACY AND PERCEIVED DESIRABILITY
DOI:
https://doi.org/10.62985/j.huit_ojs.vol26.no3E.577Keywords:
Digital entrepreneurial intention, digital literacy, self-efficacy, perceived desirability, PLS-SEM, fsQCA, Vietnam.Abstract
This study sets out to explore how digital literacy shapes entrepreneurial intentions among Vietnamese university students, drawing on data from 618 participants across 13 institutions. Using a combination of PLS-SEM and fsQCA, the research not only tests direct, mediated, and moderated effects but also uncovers multiple pathways leading to high entrepreneurial intention. The findings indicate that digital literacy, encompassing AI literacy, digital skills, and Fintech knowledge significantly predicts entrepreneurial intention, with self-efficacy and perceived desirability acting as serial mediators in this relationship. Interestingly, having a family business background appears to strengthen the link between digital literacy and intention, while the model accounts for over half of the variance in entrepreneurial intention (54.8%). The fsQCA results further reveal that three distinct, equally effective configurations: technology-driven, passion-driven, and balanced can all lead to strong intentions. Conceptually, this work extends both the Entrepreneurial Event Model (EEM) and Social Cognitive Career Theory (SCCT) by positioning digital literacy as a key antecedent and empirically testing serial mediation in the context of digital entrepreneurship. On a practical level, the findings suggest that universities should weave digital competencies throughout their curricula, while policymakers might consider supporting entrepreneurship education that is fully integrated with digital tools and consider the facilitating role of family business background when designing interventions.
References
[1] T. V. N. Ngo, T. T. H. Phan, C. D. Duong, and A. T. Vu, “Nurturing e-entrepreneurs with artificial intelligence: Curvilinear effects of perceived desirability and perceived feasibility based on the entrepreneurial event model,” Open Social Sciences & Humanities, vol. 12, p. 102180, 2025, doi: https://doi.org/10.1016/j.ssaho.2025.102180
[2] M. Pham, B. Q. Lam, A. T. T. Nguyen, T. K. T. Dinh, and H. Y. Tran, “How does the environment and innovation affect digital business intentions through education? An explanation from social cognitive occupational theory,” Open Social Sciences & Humanities, vol. 10, p. 101179, 2024, doi: https://doi.org/10.1016/j.ssaho.2024.101179
[3] T. H. Vu, A. D. Do, D. L. Ha, D. T. Hoang, T. A. V. Le, and T. T. H. Le, “Antecedents of digital entrepreneurial intention among engineering students,” International Journal of Information Data Management, vol. 4, no. 2, p. 100233, 2024, doi: https://doi.org/10.1016/j.jjimei.2024.100233
[4] C. D. Duong, “Understanding AI and Digital Business Intent: A Serial Intermediate Model of Digital Entrepreneur Self-Competence and Digital Entrepreneur Identity Aspirations,” International Journal of Information Data Management, vol. 5, no. 1, p. 100349, 2025, doi: https://doi.org/10.1016/j.jjimei.2025.100349
[5] T. T. Nguyen, T. T. Dao, T. B. Tran, H. T. T. Nguyen, T. N. Le, and N. T. T. Pham, “Fintech Knowledge and Digital Business Intent: Intermediate and Regulatory Effects,” International Journal of Information Data Management, vol. 4, no. 2, p. 100222, 2024, doi: https://doi.org/10.1016/j.jjimei.2024.100222
[6] T. H. T. Tran, “PLS-SEM analysis of students’ intention for digital business entrepreneurship: the role of digital skills and digital entrepreneurial environment,” Journal of Finance and Acounting Research, no. 291, pp. 48-51, 2025. (in Vietnamese)
[7] E. J. Douglas, D. A. Shepherd, and C. Prentice, “Using fuzzy-set qualitative comparative analysis for a finer-grained understanding of entrepreneurship,” Journal of Business Venturing, vol. 35, no. 1, art. no. 105970, 2020, doi: https://doi.org/10.1016/j.jbusvent.2019.105970
[8] A. Shapero and L. Sokol, “The Social Dimensions of Entrepreneurship,” in The Encyclopedia of Entrepreneurship, C. A. Kent, D. L. Sexton, and K. H. Vesper, Eds. Prentice Hall, 1982, pp. 72-90, doi: https://doi.org/10.1108/sd.2006.05622aaf.007
[9] N. F. Krueger, M. D. Reilly, and A. L. Carsrud, “Competing models of business intention,” Journal of Business Venturing, vol. 15, no. 5-6, pp. 411-432, 2000, doi: https://doi.org/10.1016/S0883-9026(98)00033-0
[10] C. Schlaegel and M. Koenig, “Factors that determine business intentions: A meta-analysis test and integration of competitive models,” Theory and Practice of Entrepreneurship, vol. 38, no. 2, pp. 291-332, 2014, doi: https://doi.org/10.1111/etap.12087
[11] R. W. Lent, S. D. Brown, and G. Hackett, “Towards a unified social cognitive theory of career and academic interests, choices, and performance,” Journal of Vocational Behavior, vol. 45, no. 1, pp. 79-122, 1994, doi: https://doi.org/10.1006/jvbe.1994.1027
[12] S. L. Pham, A. D. Do, D. L. Ha, M. V. Trinh, A. D. Le, and T. P. H. Tran, “The impact of FinTech literacy on digital entrepreneurial intentions: Exploring crowdfunding, blockchain, and AI through a social cognitive career theory lens,” Entrepreneurial Business and Economics Review, vol. 13, no. 1, pp. 79–94, 2025, doi: https://doi.org/10.15678/EBER.2025.130105
[13] R. F. Oktaviani and R. Meidiyustiani, “Revealing digital literacy of young entrepreneurial intentions: A case of university students in Indonesia,” Pakistan Journal of Life and Social Sciences, vol. 23, no. 1, pp. 448–458, 2025, doi: https://doi.org/10.57239/PJLSS-2025-23.1.0035
[14] S. C. Kong, W. M. Cheung, and G. Zhang, “Evaluating an artificial intelligence course for undergraduate students with diverse learning backgrounds,” Computing and Education: Artificial Intelligence, vol. 2, p. 100026, 2021, doi: https://doi.org/10.1016/j.caeai.2021.100026
[15] D. Zou, H. Xie, and L. Kohnke, “Navigating the future: Establishing a framework for educators' pedagogic artificial intelligence competence,” European Journal of Education, vol. 60, Art. no. e70117, 2025, doi: https://doi.org/10.1111/ejed.70117
[16] V. Hackl, A. E. Müller, and M. Sailer, “The AI literacy heptagon: A structured approach to AI literacy in higher education,” Computers and Education: Artificial Intelligence, vol. 10, Art. no. 100540, 2026, doi: https://doi.org/10.1016/j.caeai.2026.100540
[17] B. Setiawan et al, “Seeking financial inclusion through digital financial services (Fintech) during the COVID-19 pandemic: Case study of women in Indonesia,” Journal of Financial Services Marketing, vol. 1, pp. 459-473, 2023, doi: https://doi.org/10.1057/s41264-023-00217-9
[18] P. J. Morgan, B. Huang, and L. Q. Trinh, “The need to promote digital financial literacy for the digital age,” in The Future of Work and Education for the Digital Age, Tokyo, Japan: T20 Japan Policy Brief, 2019, pp. 40–46. [Online]. Available: https://www.adb.org/sites/default/files/publication/503706/adbi-realizing-education-all-digital-age.pdf#page=56
[19] N. Del Sarto and P. K. Ozili, “FinTech and financial inclusion in emerging markets: A bibliometric analysis and future research agenda,” International Journal of Emerging Markets, vol. 20, no. 13, pp. 270–290, 2025, doi: https://doi.org/10.1108/IJOEM-08-2024-1428
[20] M. Oberländer, A. Beinicke, and T. Bipp, “Digital Competencies: Evaluate documents and applications in the workplace,” Computers & Education, vol. 146, p. 103752, 2020, doi: https://doi.org/10.1016/j.compedu.2019.103752
[21] E. van Laar, A. J. van Deursen, J. A. van Dijk, and J. de Haan, “Determinants of 21st Century Digital Skills: A Large-Scale Survey among Working Professionals,” Computers in Human Behavior, vol. 100, p. 93-104, 2019. [Online]. Available: https://ris.utwente.nl/ws/portalfiles/portal/134703537/determinants.pdf
[22] A. Bandura, Self-efficacy: The exercise of control. W. H. Freeman, 1997.
[23] H. Zhao, S. E. Seibert, and G. E. Hills, “The mediating role of self-competence in developing business intentions,” Journal of Applied Psychology, vol. 90, no. 6, pp. 1265-1272, 2005. [Online]. Available: https://psycnet.apa.org/doi/10.1037/0021-9010.90.6.1265
[24] M. I. Ukil and A. Almashayekhi, “Interested in starting a business but worried about the future: Investigating the role of resilience in fear of career uncertainty and entrepreneurial intentions,” Acta Psychologica, vol. 242, p. 104148, 2024, doi: https://doi.org/10.1016/j.actpsy.2024.104148
[25] C. Wardoyo, B. S. Narmaditya, V. A. Qurrata, Y. D. Satrio, and S. Sahid, “Are students ready for digital business? The precursor of the Indonesian student's entrepreneurial intention uses serial intermediaries,” Open Social Sciences & Humanities, vol. 11, p. 101213, 2025, doi: https://doi.org/10.1016/j.ssaho.2024.101213
[26] S. Laspita, N. Breugst, S. Heblich, and H. Patzelt, “Intergenerational transmission of entrepreneurial intentions,” Journal of Business Venturing, vol. 27, no. 4, pp. 414-435, 2012, doi: https://doi.org/10.1016/j.jbusvent.2011.11.006
[27] H. P. Adjimah, J. A. M. Agyapong, M. K. Abiemo, and E. E. Tulasi, “Empowering green entrepreneurship through education: The Role of Self-Empowerment, Financial Security, and Gender of Ghanaian University Students,” Sustainable Futures, vol. 10, p. 101436, 2025, doi: https://doi.org/10.1016/j.sftr.2025.101436
[28] S. Chauhan et al., “An analysis of the intermediary role of family support between motivators and sustainable business intentions: A study of undergraduate students,” Sustainable Technology and Entrepreneurship, vol. 3, no. 3, p. 100076, 2024, doi: https://doi.org/10.1016/j.stae.2024.100076
[29] T. D. C. Le, V. D. Phan, and T. A. N. Pham, “Many paths to green business behavior: Configuration study in Vietnam,” Journal of Open Innovation: Technology, Markets, and Complexity, vol. 11, no. 1, p. 100677, 2025, doi: https://doi.org/10.1016/j.joitmc.2025.100677
[30] R. W. Brislin, “Translation and content analysis of oral and written material,” in Handbook of Cross-Cultural Psychology: Methodology (Vol. 2), H. C. Triandis and J. W. Berry, Eds. Allyn & Bacon, 1980, pp. 389-444. [Online]. Available: https://archive.org/details/handbookofcrossc0002unse/page/n5/mode/2up
[31] S. Sahid, N. S. Norhisham, and B. S. Narmaditya, “The link between self-competence, attitude and business creativity: A serial intermediary between business intention and environmental factors,” Heliyon, vol. 10, no. 5, p. e30478, 2024. Available: https://doi.org/10.1016/j.heliyon.2024.e30478
[32] C. M. Ringle, S. Wende, and J. M. Becker, SmartPLS 4. Bönningstedt: SmartPLS, 2024. Available: https://www.smartpls.com
[33] S. Kraus, M. Breier, and S. Dasí-Rodríguez, “The art of crafting a systematic literature review in entrepreneurship research,” International Journal of Management and Entrepreneurship, vol. 16, pp. 1023-1042, 2020, doi: https://doi.org/10.1007/s11365-020-00635-4
[34] C. C. Ragin, Redesigning Social Inquiry: Fuzzy Sets and Beyond. University of Chicago Press, 2009. [Online]. Available: https://eprints.ncrm.ac.uk/id/eprint/1849/1/
Resdisgning_social_inquiry.pdf
[35] P. M. Podsakoff, S. B. MacKenzie, J. Y. Lee, and N. P. Podsakoff, “Common method biases in behavioral research: A critical review of the literature and recommended remedies,” Journal of Applied Psychology, vol. 88, no. 5, pp. 879-903, 2003, doi: https://doi.org/10.1037/0021-9010.88.5.879
[36] N. Kock, “Common method bias in PLS-SEM: A full collinearity assessment approach,” International Journal of e-Collaboration, vol. 11, no. 4, pp. 1-10, 2015, doi: https://doi.org/10.1007/978-3-319-64069-3_11
[37] J. F. Hair, G. T. M. Hult, C. M. Ringle, and M. Sarstedt, A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), 3rd ed. Sage Publishing, 2022. [Online]. Available: http://www.pls-sem.com/
[38] J. Henseler, C. M. Ringle, and M. Sarstedt, “A new criterion for evaluating discriminant validity in variance-based structural equation modeling,” Journal of the Academy of Marketing Science, vol. 43, no. 1, pp. 115-135, 2015, doi: https://doi.org/10.1007/s11747-014-0403-8
