TY - JOUR
T1 - Are gig workers protected? A possible solution
AU - Ali, Mohsin
AU - Hussain, Hafezali Iqbal
AU - Nisar, Qasim Ali
AU - Chang, Yen Wen
AU - Hamid, Baharom Abdul
AU - Mahomed, Ziyaad
N1 - Funding Information:
Note: This study is funded by Ministry of Higher Education (MOHE), Malaysia under the FRGS grant FRGS/1/2020/SS01/TAYLOR/02/4. 299
Publisher Copyright:
© (2023), (Social Sciences Research Society). All Rights Reserved.
PY - 2023
Y1 - 2023
N2 - The gig economy represents a relatively contemporary phenomenon that remains insufficiently examined or documented in academic literature. The term "gig economy" pertains to labour markets characterised by short-term, intermittent, on-demand, and predominantly task-oriented employment arrangements. Due to its non-traditional nature, part-time employment typically lacks the comprehensive benefits and safeguards associated with full-time employment. To gain a comprehensive understanding of the gig economy market, we utilise the partial least squares structural equation modelling technique. This approach allows us to specifically examine the factors that significantly contribute to the low insurance penetration among the gig economy workforce. In order to achieve our objective, we have gathered data from a total of 374 participants. Our research indicates that gig workers are facing a significant lack of coverage, and they express a willingness to enrol in a flexible and customised takaful product.
AB - The gig economy represents a relatively contemporary phenomenon that remains insufficiently examined or documented in academic literature. The term "gig economy" pertains to labour markets characterised by short-term, intermittent, on-demand, and predominantly task-oriented employment arrangements. Due to its non-traditional nature, part-time employment typically lacks the comprehensive benefits and safeguards associated with full-time employment. To gain a comprehensive understanding of the gig economy market, we utilise the partial least squares structural equation modelling technique. This approach allows us to specifically examine the factors that significantly contribute to the low insurance penetration among the gig economy workforce. In order to achieve our objective, we have gathered data from a total of 374 participants. Our research indicates that gig workers are facing a significant lack of coverage, and they express a willingness to enrol in a flexible and customised takaful product.
KW - Gig Economy
KW - Malaysia
KW - Sustainable Development Goals
KW - Takaful
UR - http://www.scopus.com/inward/record.url?scp=85179443168&partnerID=8YFLogxK
U2 - 10.34109/ijefs.202315313
DO - 10.34109/ijefs.202315313
M3 - Article
AN - SCOPUS:85179443168
SN - 1309-8055
VL - 15
SP - 282
EP - 302
JO - International Journal of Economics and Finance Studies
JF - International Journal of Economics and Finance Studies
IS - 3
ER -