Determinant Factors to Become a Gig Worker in an Online Course
Abstract
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.
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“Working on digital labor platforms provides an easily accessible source of employment income (e.g., Alif et al., 2020;Churchill & Craig, 2019;Hoang et al., 2020).”
From Gig work and gig workers: An integrative review and agenda for future research (2024) · cites this paper as Alif et al., 2020
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- Authors
- Alif, I., Sucahyo, Y. G., & Gandhi, A.
- Affiliations
- University of Indonesia (ID)
- Venue
- 2020 International Conference on Advanced Computer Science and Information Systems (ICACSIS)
- Publisher
- IEEE
- Published
- 2020-10-17
- Volume
- 23
- Pages
- 329-334
- OpenAlex
- W3107524927
- Cited by
- 5
- References
- 26
- Citations by year
- 2024: 1 · 2023: 3 · 2021: 1
- FWCI
- 2.14
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- International Conference on Advanced Computer Science and Information Systems (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Sociology and Political Science › Digital Economy and Work Transformation
- Social Sciences › Business, Management and Accounting › Marketing › Sharing Economy and Platforms
- Keywords
- gig economy, online courses, gig workers, online tutoring, content creation, technology acceptance model, UTAUT, social influence, risk perception, personal interests, economic value
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