The Future of Work and the Impact of Automation on Jobs in Gig Economy in Thailand: A Review of Literature

Authors

  • Wanvicechanee Tanoamchard
  • Krisada Ceienwattanasook

DOI:

https://doi.org/10.14456/shserj.2024.9
CITATION
DOI: 10.14456/shserj.2024.9
Published: 2024-03-01

Keywords:

Future of Work, Automation, Gig Economy, Thailand

Abstract

Purpose: This article aims to analyze the diverse factors that exert a substantial impact on Thailand's gig economy. The factors encompassed in this discussion comprise the potential ramifications of automation, the emergence of novel employment prospects, and the significance of education, labor, and collaboration between industry and academia. Methodology: The authors systematically organized the data to identify patterns, with an emphasis on automation, job creation, and education-industry collaboration. The authors investigated the potential impact of automation on the gig economy, the possibility of job displacement and the need for workers to develop new skills, as well as the chance of new employment opportunities in emerging industries and sectors that require human skills and creativity. Major findings: Patterns and trends indicate that automation influences Thailand's freelance economy. Due to its inherent flexibility and independence, an increasing number of people are opting for contract work. In addition, success in this discipline requires self-motivation, creativity, problem-solving, and evaluation skills. Workers and human resource administrators are able to effectively manage the numerous opportunities and challenges presented due to their proactive adaptation. This procedure optimizes efficiency and cost savings, which in turn drives the expansion of automation. Despite the fact that technology and automation may appear to eliminate occupations, gig laborers still require human skills and self-motivation.

Author Biographies

Wanvicechanee Tanoamchard

Asst. Prof., Lecturer, Human Resource Management Program, Burapha Business School, Burapha University, Thailand.

Krisada Ceienwattanasook

Lecturer, Department of Managenent, Faculty of Business Administration, Rajamangala University of Technology Thanyaburi, Thailand.

References

Agrawal, A., Gans, J., & Goldfarb, A. (2018). Prediction machines: The simple economics of artificial intelligence. Harvard Business Press.

Ahmed, F., Fattani, M. T., Ali, S. R., & Enam, R. N. (2022). Strengthening the bridge between academic and the industry through the academia-industry collaboration plan design Model. Frontiers in Psychology, 13(875940), 1-11. https://doi.org/10.3389/fpsyg.2022.875940

Australian Bureau of Statistics. (2019, December 9). Characteristics of Employment, Australia, August 2018 to August 2019. Australian Government. https://www.abs.gov.au/statistics/labour/employment-and-unemployment/characteristics-employment-australia/latest-release

Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company.

Bughin, J., & Manyika, J. (2016). Independent work: Choice, necessity, and the gig economy. McKinsey Global Institute.

Bulian, L. (2021). The gig is up: who does gig economy actually benefit?. Interdisciplinary Description of Complex Systems, 19(1), 106-119.

Bureau of Labor Statistics. (2018, June 7). Contingent and Alternative Employment Arrangements – May 2017. U.S. Department of Labor. https://www.bls.gov/news.release/pdf/conemp.pdf

Bureau of Labor Statistics. (2023, April 25). Arts, Design, Entertainment, Sports, and Media Occupations. Occupational Outlook Handbook. https://www.bls.gov/ooh/arts-and-design/home.htm

Burtch, G., Carnahan, S., & Greenwood, B. N. (2018). Can you gig it? An empirical examination of the gig economy and entrepreneurial entry. Management Science, 64(12), 5497-5520.

Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114, 254-280.

Hong, S., & Shell, H. G. (2018). The impact of automation on inequality. Economic Synopses, 29, 1-2.

Horton, J., Kerr, W. R., & Stanton, C. (2017). Digital labor markets and global talent flows. Working paper 17-096. Harvard Business School.

International Federation of Robotics (IFR). (2019, September 18). World Robotics 2019.

https://ifr.org/downloads/press2018/Executive%20Summary%20WR%202019%20Industrial%20Robots.pdf

International Labour Organization. (2022, January 17). World employment and social outlook: trends 2022. International Labour Office. Geneva.

https://www.ilo.org/wcmsp5/groups/public/---dgreports/---dcomm/---publ/documents/publication/wcms_834081.pdf

International Renewable Energy Agency. (2020). Renewable Energy and Jobs – Annual Review 2020. https://www.irena.org/publications/2020/Jun/Renewable-energy-and-jobs-Annual-review-2020

Kelliher, C., & Anderson, D. (2008). Doing more with less? Flexible working practices and the intensification of work. Human Relations, 63(1), 83-106.

Kuek, S. C., Paradi-Guilford, C., Fayomi, T., Imaizumi, S., & Ipeirotis, P. G. (2015). The global opportunity in online outsourcing. McKinsey Global Institute. https://econpapers.repec.org/paper/wbkwboper/22284.htm

Li, L. (2022). Reskilling and upskilling the future-ready workforce for industry 4.0 and beyond. Information System Frontiers. https://doi.org/10.1007/s10796-022-10308-y

Manyika, J., Chui, M., Miremadi, M., Bughin, J., George, K., Willmott, P., & Dewhurst, M. (2017). A future that works: automation, employment and productivity. McKinsey Global Institute. https://www.mckinsey.com/~/media/mckinsey/featured%20insights/Digital%20Disruption/Harnessing%20automation%20for%20a%20future%20that%20works/MGI-A-future-that-works-Full-report.ashx

McKinsey Global Institute. (2017, December). Jobs lost, jobs gained: What the future of work will mean for jobs, skills, and wages. https://www.mckinsey.com/featured-insights/future-of-work/jobs-lost-jobs-gained-what-the-future-of-work-will-mean-for-jobs-skills-and-wages

Mieruch, Y., & McFarlane, D. (2022). Gig economy riders on social media in Thailand: contested identities and emergent civil society organizations. Nature Public Health Emergency Collection, 30, 1-11.

Ministry of Internal Affairs and Communications. (2018, June). Report on Survey of Labor Force Status (Basic Tabulation): June 2018. Japanese Government. https://www.stat.go.jp/english/data/roudou/report/index.html

Office for National Statistics. (2018, October 16). Employment in the UK: October 2017 to September 2018. UK Government. https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/bulletins/employmentintheuk/previousReleases

PwC. (2017, June 22). AI Impact Index. https://www.pwc.com/gx/en/issues/data-and-analytics/artificial-intelligence/ai-impact-index.html

Roy, G., & Shrivastava, A. (2020). Future of Gig Economy. Opportunities and Challenges, 9(1), 14-25.

Sargeant, M. (2017). The gig economy and the future of work. E-Journal of International and Comparative Labour Studies, 6(2), 1-18.

Thailand Board of Investment. (2016). Thailand’s automation & robotics. https://www.boi.go.th/upload/content/BOI-brochure%202016-automation-20170615_14073.pdf

Umar, M., Xu, Y., & Sikandar, M. S. (2020). Impact of Covid-19 on Gig Economy. Ekonomska Istraživanja / Economic Research, 34(8), 1-15.

Vinayan, G., Harikirishanan, D., & Ling, S. M. (2020). Upskilling and reskilling the workforce via industry driven technical and vocational education and training: strategies to initiate industry/institution partnership in Malaysia. Journal of Economic Info, 7(2), 94-103.

Wood, A. J., Graham, M., Lehdonvirta, V., & Hjorth, I. (2019). Networked but commodified: the (dis) embeddedness of digital labour in the gig economy. Sociology, 53(5), 931-950.

World Economic Forum. (2020, October 20). The Future of Jobs Report 2020. https://www.weforum.org/reports/the-future-of-jobs-report-2020/

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Published

2024-03-01

How to Cite

Tanoamchard, W., & Ceienwattanasook, K. (2024). The Future of Work and the Impact of Automation on Jobs in Gig Economy in Thailand: A Review of Literature. Scholar: Human Sciences, 16(1), 77-88. https://doi.org/10.14456/shserj.2024.9