Beyond the Ride: A PLS-SEM Analysis on the SKSPS Contribution Dynamics in Malaysian E-Hailing Odyssey

Radduan Bin Yusof, Suhaimi Abd Samad, Azizan Zainuddin, Khairiyah Hj. Md Shahid, Erna Setijaningrum and Edmund Cheong
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Radduan Bin Yusof: Faculty of Administrative Science and Policy Studies, University Teknologi MARA Cawangan Negeri Sembilan, Kamus Seremban Seremban, Malaysia
Suhaimi Abd Samad: Faculty of Administrative Science and Policy Studies, University Teknologi MARA Cawangan Negeri Sembilan, Kamus Seremban Seremban, Malaysia
Azizan Zainuddin: Faculty of Administrative Science and Policy Studies, University Teknologi MARA Cawangan Negeri Sembilan, Kamus Seremban Seremban, Malaysia
Khairiyah Hj. Md Shahid: Faculty of Administrative Science and Policy Studies, University Teknologi MARA Cawangan Negeri Sembilan, Kamus Seremban Seremban, Malaysia
Erna Setijaningrum: Department of Public Administration, Faculty of Social and Political Sciences, Universitas Airlangga, Indonesia
Edmund Cheong: Social Security Organization, Malaysia

International Journal of Research and Innovation in Social Science, 2024, vol. 8, issue 4, 1529-1544

Abstract: This study employs Partial Least Squares Structural Equation Modeling (PLS-SEM) to investigate the factors influencing gig workers’ propensity to contribute to Malaysia’s Self-Employed Social Security Program (SKSPS), introduced in 2017. Based on a sample of 251 E-hailing workers, the analysis reveals a significant relationship between trust and the propensity to contribute, underlining the paramount role of trust in social insurance participation. However, non-significant associations between promotion efforts, awareness, financial capabilities, and contribution propensity are observed. The model, with an R2 value of 0.613, demonstrates commendable explanatory power. These findings contribute to the literature on social insurance participation, emphasising the importance of trust that warrants further investigation. The study concludes with recommendations for refining trust-building initiatives, promotional strategies, and awareness campaigns to enhance social insurance participation within the gig economy context.

Date: 2024
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