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The fourth industrial revolution and labour market regulation in Singapore

Published online by Cambridge University Press:  01 January 2023

Peter Waring Open the ORCID record for Peter Waring [Opens in a new window] ,
Azad Bali  and
Chris Vas
Peter Waring*
Affiliation:
Murdoch University, Singapore
Azad Bali
Affiliation:
Australian National University, Australia
Chris Vas
Affiliation:
University of Canterbury, New Zealand
*
Peter Waring, Murdoch University, Singapore, 390 Havelock Road, Singapore 169662, Singapore. Email: p.waring@murdoch.edu.au
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Abstract

The race to develop and implement autonomous systems and artificial intelligence has challenged the responsiveness of governments in many areas and none more so than in the domain of labour market policy. This article draws upon a large survey of Singaporean employees and managers (N = 332) conducted in 2019 to examine the extent and ways in which artificial intelligence and autonomous technologies have begun impacting workplaces in Singapore. Our conclusions reiterate the need for government intervention to facilitate broad-based participation in the productivity benefits of fourth industrial revolution technologies while also offering re-designed social safety nets and employment protections.

Keywords

J88K31O38M53Artificial intelligenceautonomous technologiesgovernment interventionlabour market regulationlabour market restructuringSingaporetechnological change
Type
Themed collection articles
Information
The Economic and Labour Relations Review , Volume 31 , Issue 3: The Future of Work , September 2020 , pp. 347 - 363
Copyright
Copyright © The Author(s) 2020

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References

AI Singapore (2019) AI for everyone. Available at: https://www.aisingapore.org/industryinnovation/ai4e/ (accessed 11 September 2019).Google Scholar
Asher, MG and Bali, AS (2013) Fairness and sustainability of pension arrangements in Singapore: an assessment. Malaysian Journal of Economic Studies 50(2): 175–191.Google Scholar
Asher, MG, Bali, AS and Kwan, CY (2015) Public financial management in Singapore: key characteristics and prospects. The Singapore Economic Review 60(3): 1550032.CrossRefGoogle Scholar
Bali, AS and Ramesh, M (2015) Health care reforms in India: getting it wrong. Public Policy and Administration 30(3–4): 300–319.CrossRefGoogle Scholar
Bali, AS, Vas, C and Waring, P (2020) Singapore. In: Nankervis, A, Connell, J and Burgess, J (eds) The Future of Work in Asia and Beyond. Abingdon: Routledge, pp. 52–70.CrossRefGoogle Scholar
Bray, M and Waring, P (2019) Advances in labour regulation theory. In: Townsend, K, Cafferkey, K, Mcdermott, A, et al (eds) Elgar Introduction to Theories of Human Resources and Employment Relations. Cheltenham: Edward Elgar Publishing, pp. 155–168.CrossRefGoogle Scholar
De Ruyter, A, Brown, M and Burgess, J (2019) Gig work and the fourth industrial revolution: conceptual and regulatory challenges. Journal of International Affairs 71(1): 37–50.Google Scholar
Ernst, E, Merola, R and Samaan, D (2019) Economics of artificial intelligence: implications for the future of work. IZA Journal of Labor Policy 9(1): 20190004.Google Scholar
Frey, C and Osborne, M (2013) The future of employment: how susceptible are jobs to computerisation? Working paper, Oxford Martin School, Oxford University, Oxford. Available at: https://www.oxfordmartin.ox.ac.uk/downloads/academic/future-of-employment.pdf (accessed 3 May 2020).Google Scholar
Government of Singapore (2019) Singapore Yearbook of Manpower Statistics. Singapore: Government of Singapore. Available at https://stats.mom.gov.sg/Pages/Singapore-Yearbook-Of-Manpower-Statistics-2019.aspx (accessed 2 May 2020)Google Scholar
Ho, YP, Ruan, Y, Hang, CC, et al. (2016) Technology upgrading of small-and-medium-sized enterprises (SMEs) through a manpower secondment strategy – a mixed-methods study of Singapore’s T-Up program. Technovation 57: 21–29.Google Scholar
Hoe, S (2016) Defining of a smart nation: the case of Singapore. Journal of Information, Communication and Ethics in Society 14(4): 323–333.CrossRefGoogle Scholar
Holzmann, R, Hinz, RP and Dorfman, M (2008) Pension Systems and Reform Conceptual Framework (World Bank Discussion Paper 824). Washington, DC: World Bank.Google Scholar
Howlett, M, Capano, G and Ramesh, M (2018) Designing for robustness: surprise, agility and improvisation in policy design. Policy and Society 37(4): 405–421.Google Scholar
Hui, WT and Toh, R (2014) Growth with Equity in Singapore: Challenges and Prospects (Conditions of Work and Employment Series #48). Geneva: International Labour Organization. Available at: http://www.ilo.org/public/libdoc/ilo/2014/114B09_32_fren.pdf (accessed 2 May 2020).Google Scholar
Huiling, E and Goh, B (2017) AI, robotics and mobility as a service: the case of Singapore. Field Actions Science Reports, Special Issue 17: 26–29.Google Scholar
InfoComm Media Development Authority (2019) Industry digital plans. InfoComm Media Development Authority. Available at: https://www2.imda.gov.sg/programme-listing/smes-go-digital/industry-digital-plans (accessed 11 September 2019).Google Scholar
Korinek, A and Stiglitz, JE (2017) Artificial intelligence and its implications for income distribution and unemployment. NBER Working paper no. 24174. Cambridge, MA: National Bureau of Economic Research. Available at: https://www.nber.org/papers/w24174.pdf (accessed 3 May 2020).CrossRefGoogle Scholar
Kwan, CY and Asher, MG (2019) Managing shocks in Singapore’s ageing and retirement arrangements. Policy Studies. Epub ahead of print 6 August. DOI: http://dx.doi.org/10.1080/01442872.2019.1634189.Google Scholar
Miller, RL, Benjamin, DK and North, DC (2011) The Economics of Public Issues. Boston, MA: Addison-Wesley.Google Scholar
National Research Foundation ( 2016) Research innovation enterprise 2020 plan: winning the future through science and technology. Available at: https://www.nrf.gov.sg/docs/default-source/default-document-library/rie2020-publication-(final-web).pdf (accessed 3 May 2020).Google Scholar
National Research Foundation (2019) AI.SG: new national programme to catalyse, synergise and boost Singapore’s artificial intelligence capabilities. Available at: https://www.nrf.gov.sg/docs/default-source/modules/pressrelease/201705031442082191-press-release-(ai.pdf (accessed 11 September 2019).Google Scholar
National Transportation Safety Board (NTSB) (2018) Collision between vehicle controlled by developmental automated driving system and pedestrian. Available at: https://www.ntsb.gov/news/events/Documents/2019-HWY18MH010-BMG-abstract.pdf (accessed 2 May 2020).Google Scholar
Pang, EF and Lim, LY (2015) Labor, productivity and Singapore’s development model. The Singapore Economic Review 60(3): 1550033.CrossRefGoogle Scholar
Peterson, R and Glancy, D (2019) The future of mobility and shifting risk (AIG Risk and Innovation Series). Available at: https://www.aig.com/content/dam/aig/america-canada/us/documents/insights/the-future-of-mobility-and-shifting-risk-white-paper-ces2018-updated.pdf (accessed 7 October 2019).Google Scholar
Stanford, J (2017) The resurgence of gig work: historical and theoretical perspectives. The Economic and Labour Relations Review 28(3): 382–401.CrossRefGoogle Scholar
Stirling, A (20104) Keep it complex. Nature 468(7327): 1029–1031.CrossRefGoogle Scholar
Tegmark, M (2017) Life 3.0: Being Human in the Age of Artificial Intelligence. New York: Alfred A. Knopf.Google Scholar
Thang, LL (2011) Population aging, older workers and productivity issues: the case of Singapore. Journal of Comparative Social Welfare 27(1): 17–33.CrossRefGoogle Scholar
The Economist (2018) The Asian Digital Transformation Index: Building Environments for Technology-Led Change. The Economist Intelligence Unit Limited. Available at: http://connectedfuture.economist.com/wp-content/uploads/2018/12/ADTI-whitepaper.pdf (accessed 11 September 2019).Google Scholar
Walker, WE, Marchau, VAWJ and Swanson, D (2010) Addressing deep uncertainty using adaptive policies: introduction to section 2. Technological Forecasting and Social Change 77(6): 917–923.CrossRefGoogle Scholar
Waring, P, Vas, C and Bali, AS (2017) Work-readiness in Singapore. In: Cameron, R, Dhakal, S and Burgess, J (eds) Transitions from Education to Work: Workforce Ready Challenges in the Asia Pacific. London: Routledge, pp. 137–156.Google Scholar