Content Matters: What Type of Social Media Content Attracts Students to Nursing Programs?

Authors

Jeffrey A. Lucero, EdD, MAN, RN, LPT, SHC, FRIN

Saint Paul University Quezon City (Philippines)

Joshua May D. Austria, MAN, RN

Far Eastern University (Philippines)

Article Information

DOI: 10.47772/IJRISS.2026.1026EDU0169

Subject Category: Education

Volume/Issue: 10/26 | Page No: 1982-1991

Publication Timeline

Submitted: 2026-03-22

Accepted: 2026-03-28

Published: 2026-04-08

Abstract

The increasing reliance on digital platforms has transformed how higher education institutions (HEIs) promote academic programs, particularly in competitive fields such as nursing. This study examined the influence of social media content on students’ enrollment intentions in Bachelor of Science in Nursing (BSN) programs, incorporating student engagement and perceived institutional image as mediating variables. Anchored on the Theory of Planned Behavior, a quantitative cross-sectional design was employed among 312 senior high school students in a semi-urban area in the Philippines. Data were collected using a validated questionnaire and analyzed through Structural Equation Modeling (SEM) to assess direct and indirect relationships among variables.
Findings revealed that career-oriented and testimonial content significantly influenced students’ enrollment intention, both directly and indirectly through engagement and institutional image. Informational content showed no significant direct effect, while interactive content demonstrated a modest influence primarily through engagement pathways. Among the mediators, perceived institutional image emerged as the strongest predictor of enrollment intention, highlighting the critical role of credibility and perceived quality in higher education decision-making. The proposed model explained a substantial proportion of variance in enrollment intention, indicating the robustness of the framework.
The study concludes that effective social media marketing in nursing education requires strategically designed content that is career-focused, authentic, and engaging. These findings provide evidence-based insights for HEIs seeking to enhance recruitment strategies and contribute to the growing body of literature on digital marketing in higher education.

Keywords

social media marketing, enrollment intention, nursing education, student engagement

Downloads

References

1. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T [Google Scholar] [Crossref]

2. Alalwan, A. A. (2018). Investigating the impact of social media advertising features on customer purchase intention. International Journal of Information Management, 42, 65–77. https://doi.org/10.1016/j.ijinfomgt.2018.06.001 [Google Scholar] [Crossref]

3. Appel, G., Grewal, L., Hadi, R., & Stephen, A. T. (2020). The future of social media in marketing. Journal of the Academy of Marketing Science, 48(1), 79–95. https://doi.org/10.1007/s11747-019-00695-1 [Google Scholar] [Crossref]

4. Ashley, C., & Tuten, T. (2015). Creative strategies in social media marketing: An exploratory study of branded social content and consumer engagement. Psychology & Marketing, 32(1), 15–27. https://doi.org/10.1002/mar.20761 [Google Scholar] [Crossref]

5. Chen, J., & Xie, K. L. (2020). Consumer valuation of online review information: Evidence from social media. International Journal of Contemporary Hospitality Management, 32(1), 185–203. https://doi.org/10.1108/IJCHM-02-2019-0178 [Google Scholar] [Crossref]

6. De Vries, L., Gensler, S., & Leeflang, P. S. H. (2012). Popularity of brand posts on brand fan pages: An investigation of the effects of social media marketing. Journal of Interactive Marketing, 26(2), 83–91. https://doi.org/10.1016/j.intmar.2012.01.003 [Google Scholar] [Crossref]

7. Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., Carlson, J., Filieri, R., Jacobson, J., Jain, V., Karjaluoto, H., Kefi, H., Krishen, A. S., Kumar, V., Rahman, M. M., Raman, R., Rauschnabel, P. A., Rowley, J., Salo, J., Tran, G. A., & Wang, Y. (2021). Setting the future of digital and social media marketing research. International Journal of Information Management, 59, 102168. https://doi.org/10.1016/j.ijinfomgt.2020.102168 [Google Scholar] [Crossref]

8. Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modeling (PLS-SEM) using R: A workbook. Springer. https://doi.org/10.1007/978-3-030-80519-7 [Google Scholar] [Crossref]

9. Hollebeek, L. D., Glynn, M. S., & Brodie, R. J. (2014). Consumer brand engagement in social media: Conceptualization, scale development and validation. Journal of Interactive Marketing, 28(2), 149–165. https://doi.org/10.1016/j.intmar.2013.12.002 [Google Scholar] [Crossref]

10. Ismagilova, E., Slade, E. L., Rana, N. P., & Dwivedi, Y. K. (2020). The effect of characteristics of source credibility on consumer behaviour: A meta-analysis. Journal of Retailing and Consumer Services, 53, 101736. https://doi.org/10.1016/j.jretconser.2019.01.005 [Google Scholar] [Crossref]

11. Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). Guilford Press. [Google Scholar] [Crossref]

12. Kotler, P., Keller, K. L., & Chernev, A. (2022). Marketing management (16th ed.). Pearson. [Google Scholar] [Crossref]

13. Le, T. D., Dobele, A. R., & Robinson, L. J. (2022). Information sought by prospective students from social media electronic word-of-mouth during the university choice process. Journal of Higher Education Policy and Management, 44(3), 273–289. https://doi.org/10.1080/1360080X.2021.1979958 [Google Scholar] [Crossref]

14. Lim, W. M., Rasul, T., Kumar, S., & Ala, M. (2022). Past, present, and future of customer engagement. Journal of Business Research, 140, 439–458. https://doi.org/10.1016/j.jbusres.2021.11.014 [Google Scholar] [Crossref]

15. Panda, T. K., & Mishra, K. (2021). Social media and higher education: A literature review. Journal of Marketing for Higher Education, 31(2), 1–20. https://doi.org/10.1080/08841241.2020.1841723 [Google Scholar] [Crossref]

16. Perera, N., Nayak, R., & Nguyen, L. T. V. (2023). The impact of social media marketing on university students’ choice: The mediating role of brand image. International Journal of Educational Management, 37(5), 1053–1070. https://doi.org/10.1108/IJEM-09-2022-0355 [Google Scholar] [Crossref]

17. Rauschnabel, P. A., Sheldon, P., & Herzfeldt, E. (2019). What motivates users to hashtag on social media? Psychology & Marketing, 36(5), 473–488. https://doi.org/10.1002/mar.21191 [Google Scholar] [Crossref]

18. Tien, D. H., Rivas, A. A., & Liao, Y. K. (2021). Examining the influence of customer-to-customer electronic word-of-mouth on purchase intention. Journal of Retailing and Consumer Services, 58, 102349. https://doi.org/10.1016/j.jretconser.2020.102349 [Google Scholar] [Crossref]

19. Yadav, M., & Rahman, Z. (2018). Measuring consumer perception of social media marketing activities. Telematics and Informatics, 35(7), 1887–1903. https://doi.org/10.1016/j.tele.2018.06.001 [Google Scholar] [Crossref]

Metrics

Views & Downloads

Similar Articles