Abstract

The online transportation resentment emanates from circles mainly from conventional transportation driver who have been forging the legacy of public transportation. The poor-quality control and assurance responding growing public mobility embedded in digital behavior have forced conventional transportation losing its merit. Messy regulations contribute to the complexity. Online drivers begin to question their future if the have become involuntarily exploited by company provider that this social phenomenon has become relentless and tiring agreement among government, companies, and public. Using conceptualization introduced by Hillyard, Simon Pemberton and Sam Scott in the scope of social harms, this research purpose is to identify the mean of exploitation. Job insecurity and network-based control rise as two independent variables to identify exploitation as mean of dependent variables. It applies quantitative methods enabling job insecurity and network-based control acknowledged by identifying indicators. Indicators are translated to questionnaires that are distributed to online drivers in cities of Surabaya, Sidoarjo, Malang, Probolinggo and Jember. The findings show that the relation between job insecurity and network-based control towards online driver exploitation can be understood by statistical result. The results show that both job insecurity and network-based control have significant impact to exploitation experienced by online motorcycle taxi driver (ojek). Job insecurity partially has significant impact towards Exploitation by .705 with p value (Sig.) of .00 while Network-Based Control has significant impact by .699 with p value (Sig.) .00. Thus theoretically, Exploitation is strongly influenced by Job Security rather than Network-Based Control. Simultaneously, Job Insecurity and Network-Based Control together have significant impact by f-ratio 634.554 greater than f-table that is 3.00

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