Determinant factors to become a gig worker in an online course

As the trending learning system, online course has actualized the concept of gig economy. People can participate as a gig worker using these roles: a tutor, a teacher, and a content creator in an online course while the students are clients. Some problems have occurred as a relatively new business model in Indonesia, the gig economy did not offer stable and fixed employment, and most of gig workers had no education background. This research aimed to look for determinant factors that motivate people to become gig workers in an online course. This brought Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT) as foundations. Relying on a quantitative approach in a questionnaire, eleven hypotheses were examined using Partial List Square-Structural Equation Modeling (PLS-SEM). 187 respondents took part to expose their perception about the candidate of determinant factors. Its result distinguished eight accepted hypotheses, while three others were rejected. This research captured the following variables as determinant factors with a positive relationship: social influence, the factors of benefit, personal interest, and economic value. In contrast, the perceived risk was a negative determinant factor.