Factors of Gig Job Involvement and the Effect on B40 and M40 Socio-economic Sustainability
Abstract
The emergence of information and communication technology (ICT) creates new means that permit interaction between employers and employees via apps and systems. The gig economy has arisen as a key theme in a recent independent review of modern employment practices. However, most of the existing literature focused on the implications of growth in these arrangements for workers and their families. Realizing the importance of the research on job involvement for Malaysian citizens specifically among B40 and M40 to opt for gig work is still largely unexplored, hence, this study aims to explore the factors influencing the involvement of a gig worker among B40 and M40 while examining the effect on the enhancement of the B40 and M40 segment’s socio-economic sustainability. Using a purposive sampling method, the data were collected through a survey among gig workers in Malaysia. A total of 1415 valid questionnaires were gathered from the gig workers in 14 states of Malaysia. Additionally, SPSS 28.0 was applied to test the hypotheses. The results indicated that circumstances, earnings, risk, prospects, and workload had a positive relationship with the B40 and M40 socio-economic sustainability while flexibility is not significant toward B40 and M40 socio-economic sustainability. The result also shows that there is a significant difference between B40 and M40 income groups toward socio-economic sustainability. Findings from this study contributed new knowledge on the gig economy in Malaysia. The research also assists policymakers in understanding holistically the current job scenario of gig workers to formulate policies, incentives, and development programs.
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References
Abraham, K. G., Haltiwanger, J. C., Sandusky, K. & Spletze, J. R. (2018). Properties of AdeABC and AdeIJK efflux systems of Acinetobacter baumannii compared with those of the AcrAB-TolC system of Escherichia coli. Antimicrobial Agents and Chemotherapy, 58(12), 7250–7257. https://doi.org/10.1128/AAC.03728-14
Ahmad, N. (2020). Mapping gig workers as the new economy post COVID-19. International Seminar on Islam and Science 2020 (Sais 2020), 896–909.
Alif, I., Sucahyo, Y. G. & Gandhi, A. (2020). Determinant factors to become a gig worker in an online course. 2020 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2020, 329–334. https://doi.org/10.1109/ICACSIS51025.2020.9263168
Banik, A., Chaudhuri, A., Suar, D., Vij, M., Sekhar Sarkar, S., Mukherjee, P., Basu, R., Chowdhury, S. R. & Chatterjee, R. (2020). I M I Highlights Gig Economy Financial Stability Efficiency in Auto Sector Opinion on Budget About IMI Konnect Editorial Advisory Board. An IMI Kolkata Publication, 9(1).
Cherry, M. A. & Aloisi, A. (2017). “Dependent Contractors” in the Gig Economy: A Comparative Approach. SSRN Electronic Journal, 66(3). https://doi.org/10.2139/ssrn.2847869
Churchill, B. & Craig, L. (2019). Gender in the gig economy: Men and women using digital platforms to secure work in Australia. Journal of Sociology, 55(4), 741–761. https://doi.org/10.1177/1440783319894060
Department of Statistics Malaysia (DOSM). (2020). Department of Statistics Malaysia Official Portal- Selangor. In Source of Malaysia's Official Statistic (pp. 0–1).
Ezzatul Adahwiyah, A. K., Shahrul Nizam, S. & Chandrashekar, R. (2021). Keperluan Terhadap Pekerjaan Sambilan dalam Kalangan Pekerja B40. Research in Management of Technology and Business, 2(1), 1–16. https://doi.org/10.30880/rmtb
Gandhi, A., Hidayanto, A. N., Sucahyo, Y. G. & Ruldeviyani, Y. (2018). Exploring People's Intention to Become Platform-based Gig Workers: An Empirical Qualitative Study. 2018 International Conference on Information Technology Systems and Innovation, ICITSI 2018 - Proceedings, 266–271. https://doi.org/10.1109/ICITSI.2018.8696017
Green, D. D., Walker, C., Alabulththim, A., Smith, D. & Phillips, M. (2018). Fueling the Gig Economy: A Case Study Evaluation of Upwork.com. Management and Economics Research Journal, 04, 104. https://doi.org/10.18639/merj.2018.04.523634
Heeks, R. (2017). Decent Work and the Digital Gig Economy: A Developing Country Perspective on Employment Impacts and Standards in Online Outsourcing, Crowdwork, Etc. SSRN Electronic Journal, https://doi.org/10.2139/ssrn.3431033
Hodor, M. (2020). Gig Workers and Performance Pay: A Dynamic Equilibrium Analysis of an On-Demand Industry. 1–58.
Huws, U., Spencer, N. H., Surdal, D. S. & Holts, K. (2017). Working in the European Gig Economy - Research results from the UK, Sweden, Germany, Austria, The Netherlands, Switzerland and Italy. Foundation for European Progressive Studies, 1.
Jain, I., Bahani, M. & Agarwal, S. (2021). Gen-Z And Gig Economy. Human Resource Management Practices for Industry, 4.0, 47–54.
Katsnelson, L. & Oberholzer-Gee, F. (2021). Being the Boss: Gig Workers' Value of Flexible Work. In Harvard Business School.
Kaufman, J. C. (2018). Finding Meaning With Creativity in the Past, Present, and Future. Perspectives on Psychological Science, 13(6), 734–749. https://doi.org/10.1177/1745691618771981
Keith, M. G., Harms, P. & Tay, L. (2019). Mechanical Turk and the gig economy: exploring differences between gig workers. Journal of Managerial Psychology, 34(4), 286–306. https://doi.org/10.1108/JMP-06-2018- 0228
Kuhn, K. M. & Galloway, T. L. (2019). Expanding perspectives on gig work and gig workers. In Journal of Managerial Psychology 34(4), 186–191. Emerald Group Holdings Ltd. https://doi.org/10.1108/JMP-05-2019-507
Lehdonvirta, V. (2018). Flexibility in the gig economy: managing time on three online piecework platforms. New Technology, Work and Employment, 33(1), 13–29. https://doi.org/10.1111/ntwe.12102
Liang, H., Wang, M. M., Wang, J. J. & Xue, Y. (2018). How intrinsic motivation and extrinsic incentives affect task effort in crowdsourcing contests: A mediated moderation model. Computers in Human Behavior, 81, 168–176. https://doi.org/10.1016/j.chb.2017.11.040
Mahmod, M. & Hassan, H. (2020). Spatial Crowdsourcing: Opportunities and Challenges in Motivating Malaysian Women’s Participation in Gig Economy. 2020 IEEE Conference on E-Learning, Management and e-Services (IC3e), 76–81. https://doi.org/10.1109/IC3e50159.2020.9288436
Mohammed, A. A. & Alaa, S. J. (2018). Factors Affecting on Job Satisfaction among Academic Staff. Polytechnic Journal, 8(2), 119–128. https://doi.org/10.25156/ptj.2018.8.2.161
Nawaz, Z., Mansoor, R., Zhang, J. & Ilmudeen, A. (2019). Gig workers in sharing economy: Conceptualizing Freelancer Value Proposition (FVP) in e-lancing platforms. Advances in Management & Applied Economics, 9(6), 51–75.
Pichault, F. & McKeown, T. (2019). Autonomy at work in the gig economy: analyzing work status, work content and working conditions of independent professionals. New Technology, Work and Employment, 34(1), 59–72. https://doi.org/10.1111/ntwe.12132
Raza, A., Asif, M. & Ayyub, S. (2021). The Era of Sharing Economy: Factors that Influence the Behavioral Intentions of User and Provider to Participate in Peer-to-peer Sharing Economy. Serbian Journal of Management, 16(1), 103–124. https://doi.org/10.5937/sjm16-24481
Riyono, B. & Usman, R. F. (2022). Life fulfillment: The motivation dynamics of freelancers. Humanitas: Indonesian Psychological Journal, 19, 31–40.https://doi.org/10.26555/humanitas.v19i1.2
Silva Júnior, J. T., Carneiro, J. S., Lessa, P. W. B. & Vieira, C. L. S. (2022). Flexibilization and precarization of working conditions and labor relations in the perspective of app-based drivers. Revista de Gestão. https://doi.org/10.1108/rege-08-2021-0153
Ugargol, J. D. & Patrick, H. A. (2018). The relationship of workplace flexibility to employee engagement among information technology employees in India. South Asian Journal of Human Resources Management, 5(1), 40–55. https://doi.org/10.1177/2322093718767469
Valente, E., Patrus, R. & Córdova Guimarães, R. (2019). Sharing economy: becoming an Uber driver in a developing country. Revista de Gestão, 26(2), 143–160. https://doi.org/10.1108/rege-08-2018-0088
Wulandari, A., Qamara, T. & Bawazir, S. A. M. (2019). ELancing Motivation on Sribulancer, an Evidence from Indonesia. Journal of World Conference (JWC), 1(1), 193–202. https://doi.org/10.29138/prd.v1i1.99
Yang, J. & Treadway, D. C. (2018). A Social Influence Interpretation of Workplace Ostracism and Counterproductive Work Behavior. Journal of Business Ethics, 148(4), 879–891. https://doi.org/10.1007/s10551-015-2912-x
Zheng, Q. & Yang, W. (2020). The Characteristics of the Gig Economy. Cambridge Open Engage, 1–18.
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