Determinants of Social Security Awareness Among Gig Workers: Evidence from Grab Drivers in Klang Valley, Malaysia

This study examines the determinants of social security awareness among gig workers, with specific focus on Grab drivers and riders in Klang Valley, Malaysia. Despite the rapid expansion of the gig economy, participation in formal social protection schemes such as the Social Security Organisation (SOCSO) remains limited. Drawing on the Health Belief Model (HBM), this study investigates how accessibility to information, education and knowledge, and income stability influence awareness of social security protection. A quantitative cross-sectional design was employed, with data collected from 101 respondents using a structured questionnaire. The data were analysed using descriptive statistics, Pearson correlation, and multiple regression analysis. The findings reveal that all three factors significantly influence SOCSO awareness, with accessibility to information emerging as the strongest predictor (β = 0.352), followed by income stability (β = 0.343) and education and knowledge (β = 0.302). The model explains a substantial proportion of variance (R² = 0.880), indicating strong explanatory power. The findings highlight the importance of platform-based information dissemination, financial stability, and targeted educational interventions in enhancing awareness among gig workers. This study contributes to the literature on gig economy and social protection by providing empirical evidence from a developing country context and offers policy recommendations to improve participation in social security schemes.

Gig economy; Grab workers

1. Abdullah, N., Ismail, M. M., Murad, M. S. H., Jusoff, K., Hassan, M. S., & Kurniawan, F. (2024). Critical insights into gig economy: A Peninsular Malaysia case study. Jambe Law Journal, 7(2), 395–427. https://doi.org/10.22437/home.v7i2.460 [Google Scholar] [Crossref]

2. Ahamad, H., Ramli, R., Khalid, N., & Abdul, F. (2023). Understanding the presence of the gig economy in Malaysia. Malaysian Journal of Consumer and Family Economics, 31(1), 274–293. https://doi.org/10.60016/majcafe.v31.11 [Google Scholar] [Crossref]

3. Ahmad Nizar, N. N., Ishak, S. Z., Shuib, A., Wan Mohamed, W. M., Sulaiman, S. A., Zainal, M. I., & Taib, M. N. (2023). Awareness towards social security protection among food delivery riders in Selangor and Kuala Lumpur. Malaysian Journal of Computing, 8(1), 1427–1435. https://doi.org/10.24191/mjoc.v8i1.20519 [Google Scholar] [Crossref]

4. Alyafei, A., & Carr, R. E. (2024). The health belief model of behavior changes. In StatPearls. StatPearls Publishing. https://www.ncbi.nlm.nih.gov/books/NBK606120/ [Google Scholar] [Crossref]

5. Azman, A. F., Abd Razak, S. S., & Redzuan Teo, I. E. T. (2025). Vulnerable and unprotected: Social security gaps among young workers on digital labour platforms. International Journal of Academic Research in Business and Social Sciences, 15(9). https://doi.org/10.6007/ijarbss/v15-i9/26292 [Google Scholar] [Crossref]

6. Bank Negara Malaysia. (2021, March 31). Economic and monetary review 2020. https://www.bnm.gov.my/documents/20124/3026377/emr2020_en_book.pdf [Google Scholar] [Crossref]

7. Bernama. (2025, December 31). Gig Workers Act 2025 gazetted today. New Straits Times. https://www.nst.com.my/amp/news/nation/2025/12/1348241/gig-workers-act-2025-gazetted-today [Google Scholar] [Crossref]

8. Datta, N., Rong, C., Singh, S., Stinshoff, C., Iacob, N., Nigatu, N. S., Nxumalo, M., & Klimaviciute, L. (2023). Working without borders: The promise and peril of online gig work. World Bank. https://doi.org/10.1596/40066 [Google Scholar] [Crossref]

9. De Stefano, V. (2016). The rise of the “just-in-time workforce”: On-demand work, crowd work and labour protection in the “gig-economy.” SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2682602 [Google Scholar] [Crossref]

10. Grab. (2016, October 19). Grab launches GrabChat, Southeast Asia’s first of its kind in-app messaging platform. https://www.grab.com/my/press/tech-product/grab-launches-grabchat/ [Google Scholar] [Crossref]

11. Grab. (2018, March 26). Grab merges with Uber in Southeast Asia. https://www.grab.com/my/press/business/grab-merges-with-uber-in-sea/ [Google Scholar] [Crossref]

12. Ikumu, L. W., Kathambi, B., & Kiemo, K. (2024). Coping strategies of social protection programs for community resilience to climate shocks in Tana North Sub-County, Kenya. Indonesian Journal of Social and Environmental Issues, 5(3), 355–366. https://doi.org/10.47540/ijsei.v5i3.1616 [Google Scholar] [Crossref]

13. International Labour Organization. (2012). Social security for all. https://www.ilo.org [Google Scholar] [Crossref]

14. International Labour Organization. (2021). Social security for all: Building social protection floors and comprehensive social security systems. https://www.ilo.org [Google Scholar] [Crossref]

15. International Social Security Association. (2023). Platform workers and social protection: International developments. https://www.issa.int [Google Scholar] [Crossref]

16. Mansor, N., & Rabi, A. (2023). National social wellbeing blueprint. Social Wellbeing Research Centre. [Google Scholar] [Crossref]

17. Meah, N. (2021, October 4). The big read: Not just a gig—Some food delivery riders see job as their best shot in life despite downsides. CNA. https://www.channelnewsasia.com [Google Scholar] [Crossref]

18. Mohd Hed, N., & Rosli, N. A. (2025). Navigating the gig economy: What drives Malaysian youth? Journal of Applied Youth Studies. [Google Scholar] [Crossref]

19. MyDIGITAL & Ipsos. (2024). What gig workers really want. https://www.mydigital.gov.my [Google Scholar] [Crossref]

20. Peng, L. M., & Mun, B. W. K. (2025). Understanding gig work in paving towards gig economy sustainability. Malaysian Journal of Qualitative Research, 11(1). [Google Scholar] [Crossref]

21. Ram, S. (2021). Grab and Foodpanda riders are now covered by SOCSO. SAYS. https://says.com [Google Scholar] [Crossref]

22. Ranganathan, P., & Caduff, C. (2023). Designing and validating a research questionnaire. Perspectives in Clinical Research, 14(3), 152–155. https://doi.org/10.4103/picr.picr_140_23 [Google Scholar] [Crossref]

23. Rosenstock, I. M. (1974). The health belief model and preventive health behavior. Health Education Monographs, 2(4), 354–386. https://doi.org/10.1177/109019817400200405 [Google Scholar] [Crossref]

24. Salim, S., Amirul Haziq, M., Hairi Osman, M., Hakimi Mat Nor, A., Sukor Sarif, A., Zaminan, Z., Zull Ariff Taqiuddin Mohamad, M., Shakir, M., & Shaiful Azman, K. (2020). A review on the background of e-hailing drivers in Malaysia. IOP Conference Series: Earth and Environmental Science, 616, 012046. https://doi.org/10.1088/1755-1315/616/1/012046 [Google Scholar] [Crossref]

25. Samsudin, A., Izzuddin, M. H., Kamarudin, W. N. B. W., Abdul Manap, M. S., & Ngah, H. C. (2022). Consumers’ motivational factors on the use of online food delivery apps in Malaysia. International Journal of Academic Research in Business and Social Sciences, 12(11). https://doi.org/10.6007/ijarbss/v12-i11/15617 [Google Scholar] [Crossref]

26. Samsudin, S., Mohd Khan, S. J., Ng, J. J., Hasan, J., & Mohd Daud, S. N. (2024). Financial vulnerability of gig workers. International Journal of Social Policy and Society, 20, 27–44. [Google Scholar] [Crossref]

27. Toor, A., Bhatia, A., & Ng, C. K. (2023). Budget 2024: Enhancing the welfare of gig workers. Lee Hishammuddin Allen & Gledhill. https://lh-ag.com [Google Scholar] [Crossref]

28. Uchiyama, Y., Furuoka, F., & Md Akhir, M. N. (2022). Gig economy, social protection and labour market inequality. Jurnal Ekonomi Malaysia, 56(3). https://doi.org/10.17576/jem-2022-5603-09 [Google Scholar] [Crossref]

29. UNESCO. (n.d.). Access to information laws. https://www.unesco.org [Google Scholar] [Crossref]

30. Yuliantina, D., Fatmawati, Y., & Jariah, A. (2025). Gig economy workers: A systematic literature review. ResearchGate. https://www.researchgate.net [Google Scholar] [Crossref]

31. Zeng, Y., Chen, C., Wang, C., & Zou, J. (2025). Education investment, social security, and household financial participation. Finance Research Letters, 77, 107124. https://doi.org/10.1016/j.frl.2025.107124 [Google Scholar] [Crossref]

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