A scoping review on graduate employability in an era of ‘Technological Unemployment’

References

• Acemoglu, D., & Restrepo, P. (2020). Robots and jobs: Evidence from US labor markets. Journal of Political Economy, 128(6), 2188–2244. https://doi.org/10.1086/705716
   Web of Science ®Google Scholar
• Aoun, J. E. (2017). Robot-proof: Higher education in the age of artificial intelligence. MIT Press.
   Google Scholar
• Arksey, H., & O’Malley, L. (2005). Scoping studies: Towards a methodological framework. International Journal of Social Research Methodology, 8(1), 19–32. https://doi.org/10.1080/1364557032000119616
   Google Scholar
• Arntz, M., Gregory, T., & Zierahn, U. (2016). The risk of automation for jobs in OECD countries. OECD Social, Employment and Migration Working Papers, No.189. OECD. https://www.oecd-ilibrary.org/social-issues-migration-health/the-risk-of-automation-for-jobsin-oecd-countries_5jlz9h56dvq7-en
   Google Scholar
• Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives, 29(3), 3–30. https://doi.org/10.1257/jep.29.3.3
   Web of Science ®Google Scholar
• Autor, D. H., Dorn, D., & Hanson, G. H. (2015). Untangling trade and technology: Evidence from local labour markets. The Economics Journal, 125(584), 621–646. https://doi.org/10.1111/ecoj.12245
   Web of Science ®Google Scholar
• Autor, D. H., & Price, B. (2013). The changing task composition of the US labor market: An update of Autor, Levy, and Murnane (2003). Unpublished manuscript. https://www.brendanmichaelprice.com/research/other/Autor-Price-2013.pdf
   Google Scholar
• Azmi, A. N., Kamin, Y., Noordin, M. K., Md Nasir, A. N. (2018). Towards industrial revolution 4.0: Employers' expectations on fresh Engineering graduates. International Journal of Engineering and Technology, 7(4), 267–272.
   Google Scholar
• Balsmeier, B., & Woerter, M. (2019). Is this time different? How digitalization influences job creation and destruction. Research Policy, 48(8), 1–10. https://doi.org/10.1016/j.respol.2019.03.010
   Web of Science ®Google Scholar
• Besson, J. (2019). Automation and jobs: When technology boosts employment. Economic Policy, 34(100), 589–626. https://doi.org/10.1093/epolic/eiaa001
   Web of Science ®Google Scholar
• Boyd, R., & Holton, R. J. (2018). Technology, innovation, employment and power: Does robotics and artificial intelligence really mean social transformation? Journal of Sociology, 54(3), 331–345. https://doi.org/10.1177/1440783317726591
   Web of Science ®Google Scholar
• Braun, D. (2008). Organising the political coordination of knowledge and innovation policies. Science and Public Policy, 35(4), 227–239. https://doi.org/10.3152/030234208X287056
   Google Scholar
• Braun, V., & Clarke, V. (2021). One size fits all? What counts as quality practice in (reflexive) thematic analysis? Qualitative Research in Psychology, 18(3), 328–352. https://doi.org/10.1080/14780887.2020.1769238
   Web of Science ®Google Scholar
• Brynjolfsson, E., & McAfee, A. (2014). The second machine age. W. W. Norton & Company.
   Google Scholar
• Brynjolfsson, E., Mitchell, T., & Rock, D. (2018). What can machines learn, and what does it mean for occupations and the economy? AEA Papers and Proceedings, 108, 43–47. https://doi.org/10.1257/pandp.20181019
   Google Scholar
• Caballero, C. L., & Walker, A. (2010). Work readiness in graduate recruitment and selection: A review of current assessment methods. Journal of Teaching and Learning for Graduate Employability, 1(1), 13–25. https://doi.org/10.21153/jtlge2010vol1no1art546
   Google Scholar
• Cacciolatti, L., Lee, S. H., & Molinero, C. M. (2017). Clashing institutional interests in skills between government and industry: An analysis of demand for technical and soft skills of graduates in the UK. Technological Forecasting and Social Change, Elsevier, 119(C), 139–153.
   Google Scholar
• Campbell, T. A. (2018). A phenomenological study of business graduates’ employment experiences in the changing economy. Journal for Labour Market Research, 52(1), 4. https://doi.org/10.1186/s12651-018-0238-8
   PubMedGoogle Scholar
• Chamorro, T., & Frankiewicz, B. (2019). Does higher education still prepare people for jobs. Harvard Business Review. https://hbr.org/2019/01/does-higher-education-still-prepare-people-for-jobs?utm_campaign=hbr%26utm_source=facebook%26utm_medium=social
   Google Scholar
• Clifton, J., Glasmeier, A., & Gray, M. (2020). When machines think for us: The consequences for work and place. Cambridge Journal of Regions, Economy and Society, 13(1), 3–23. https://doi.org/10.1093/cjres/rsaa004
   Web of Science ®Google Scholar
• Colvin, G. (2016). Humans are underrated: What high achievers know that brilliant machines never will. Penguin.
   Google Scholar
• Damiani, M., Pompei, F., & Kleinknecht, A. (2023). Robots, skills and temporary jobs: Evidence from six European countries. Industry and Innovation, 1–50.
   Web of Science ®Google Scholar
• Daudt, H. M., van Mossel, C., & Scott, S. J. (2013). Enhancing the scoping study methodology: A large, inter-professional team’s experience with Arksey and O’Malley’s framework. BMC Medical Research Methodology, 13(1), 1–9. https://doi.org/10.1186/1471-2288-13-48
   PubMed Web of Science ®Google Scholar
• Dodel, M, & Mesch, G. (2018). Inequality in digital skills and the adoption of online safety. Behaviors. Information, Communication and Society, 21(5), 712–728.
   Web of Science ®Google Scholar
• Dodel, M., & Mesch, G. S. (2020). Perceptions about the impact of automation in the workplace. Information, Communication & Society, 23(5), 665–680. https://doi.org/10.1080/1369118X.2020.1716043
   Web of Science ®Google Scholar
• Drewes, T., & Giles, P. (2001). Liberal arts degrees and the labour market. Perspectives on Labour and Income, 13(3), 27.
   Google Scholar
• Felipe, J., Mehta, A., & Rhee, C. (2019). Manufacturing matters … but it’s the jobs that count. Cambridge Journal of Economics, 43(1), 139–168.
   Web of Science ®Google Scholar
• Felten, E., Rak, M., & Seamans, R. (2021). Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses. Strategic Management Journal, 42(12), 2195–2217. https://doi.org/10.1002/smj.3286
   Web of Science ®Google Scholar
• Frey, C. B., & Osborne, M. (2015). Technology at work: The future of innovation and employment. Oxford Martin School.
   Google Scholar
• Frey, C. B., & Rahbari, E. (2016). Do labor-saving technologies spell the death of jobs in the developing world?. https://www.brookings.edu/wp-content/uploads/2016/07/Global_20160720_Blum_FreyRahbari.pdf
   Google Scholar
• Gardberg, M., Heyman, F., Norbäck, P. J., & Persson, L. (2020). Digitization-based automation and occupational dynamics. Economics Letters, 189, 109032. https://doi.org/10.1016/j.econlet.2020.109032
   Web of Science ®Google Scholar
• Gibson, M., Hearty, W., & Craig, P. (2018). Potential effects of universal basic income: A scoping review of evidence on impacts and study characteristics. The Lancet, 392, S36. https://doi.org/10.1016/S0140-6736(18)32083-X
   Web of Science ®Google Scholar
• Gleason, N. W. (2018). Singapore’s higher education systems in the ears of the fourth industrial revolution: Preparing lifelong learners. In N. W. Gleason (Ed.), Higher education in the era of the fourth industrial revolution (pp. 145–169). Palgrave Macmillan.
   Google Scholar
• Gownder, J. P., Le Clair, C., Martorelli, B., Gardner, C., O’Donnell, G., Condo, C., & Lynch, D. (2018). Predictions 2019: Automation technologies will drive success from the service desk to customer service and beyond. Forrester. https://www.forrester.com/report/Predictions+2019+Automation/-/E-RES144739
   Google Scholar
• Graham, M., Lehdonvirta, V., Wood, A., Barnard, H., Hjorth, I., & Simon, D. P. (2017). The risks and rewards of online gig work at the global margins. Oxford Internet Institute.
   Google Scholar
• Gunkel, D. J. (2017). Rage against the machine: Rethinking education in the face of technological unemployment. Surviving the Machine Age: Intelligent Technology and the Transformation of Human Work, 147–162.
   Google Scholar
• Haldane, A. (2015). Labour’s share. In Speech at the Trades Union Congress, London. http://www.powerinaunion.co.uk/wp-content/uploads/Andy-Haldene-speech864.pdf
   Google Scholar
• Herbert, I. P., Rothwell, A. T., Glover, J. L., & Lambert, S. A. (2020). Graduate employability, employment prospects and work-readiness in the changing field of professional work. The International Journal of Management Education, 18(2), 100378. https://doi.org/10.1016/j.ijme.2020.100378
   Web of Science ®Google Scholar
• Holder, C., Khurana, V., & Watts, M. (2018). Artificial intelligence: Public perception attitude and trust (Bristows). https://www.bristows.com/app/uploads/2019/06/Artificial-Intelligence-Public-Perception-Attitude-and-Trust.pdf
   Google Scholar
• Jackson, D. (2016). Re-conceptualising graduate employability: The importance of pre-professional identity. Higher Education Research & Development, 35(5), 925–939. https://doi.org/10.1080/07294360.2016.1139551
   Web of Science ®Google Scholar
• Jung, J. (2020). The fourth industrial revolution, knowledge production and higher education in South Korea. Journal of Higher Education Policy and Management, 42(2), 134–156. https://doi.org/10.1080/1360080X.2019.1660047
   Web of Science ®Google Scholar
• Jung, J. (2022). Imagining doctoral education in the fourth industrial revolution: Driving technology or being driven by technology. Minerva, 1–18.
   PubMed Web of Science ®Google Scholar
• Keynes, J. M. (1933). Economic possibilities for our grandchildren. Essays in persuasion. Palgrave Macmillan.
   Google Scholar
• Kim, Y. J., Kim, K., & Lee, S. (2017). The rise of technological unemployment and its implications on the future macroeconomic landscape. Futures, 87, 1–9. https://doi.org/10.1016/j.futures.2017.01.003
   Web of Science ®Google Scholar
• Kosslyn, S. (2019). Are you developing skills that won’t be automated. Harvard Business Review, 1–4.
   Google Scholar
• McKinsey Global Institute. (2018). Notes from the AI frontier: Modeling the impact of AI on the world economy. MGI.
   Google Scholar
• Mkansi, M., & Landman, N. (2021). The future of work in Africa in the era of 4IR–The South African perspective. Africa Journal of Management, 7(Suppl. 1), 17–30. https://doi.org/10.1080/23322373.2021.1930750
   Google Scholar
• Mok, K. H., & Jiang, J. (2018). Massification of higher education and challenges for graduate employment and social mobility: East Asian experiences and sociological reflections. International Journal of Educational Development, 63, 44–51. https://doi.org/10.1016/j.ijedudev.2017.02.003
   Web of Science ®Google Scholar
• Mokyr, J., Vickers, C., & Ziebarth, N. L. (2015). The history of technological anxiety and the future of economic growth: Is this time different? Journal of Economic Perspectives, 29(3), 31–50. https://doi.org/10.1257/jep.29.3.31
   Web of Science ®Google Scholar
• Morikawa, M. (2017). Who are afraid of losing their jobs to artificial intelligence and robots? Evidence from a survey. RIETI Discussion Paper Series, 17-E-069. Research Institute of Economy Trade and Industry.
   Google Scholar
• Muller, E. (2018). Regenerative development in higher education: Costa Rica’s perspective. In N. W. Gleason (Ed.), Higher education in the era of the fourth industrial revolution (pp. 121–143). Palgrave Macmillan.
   Google Scholar
• Nerad, M., & Heggelund, M. (Eds.). (2011). Toward a global PhD? Forces and forms in doctoral education worldwide. University of Washington Press.
   Google Scholar
• Neubert, J. C., Mainert, J., Kretzschmar, A., & Greiff, S. (2015). The assessment of 21st century skills in industrial and organizational psychology: Complex and collaborative problem solving. Industrial and Organizational Psychology, 8(2), 238–268. https://doi.org/10.1017/iop.2015.14
   Google Scholar
• Nguyen, D. (2018). The university in a world of digital technologies: Tensions and challenges. Australasian Marketing Journal (AMJ), 26(2), 79–82. https://doi.org/10.1016/j.ausmj.2018.05.012
   Google Scholar
• Nilsson, S. (2010). Enhancing individual employability: The perspective of engineering graduates. Education & Training (London), 52(6/7), 540–551. https://doi.org/10.1108/00400911011068487
   Google Scholar
• Nübler, I. (2018). New technologies, innovation, and the future of jobs. Confronting Dystopia: The New Technological Revolution and the Future of Work, 46–75. https://doi.org/10.7591/9781501719868-004
   Google Scholar
• Persons, T. M. (2018). Artificial intelligence: Emerging opportunities, challenges, and implications for policy and research. GAO (United States Government Accountability Office).
   Google Scholar
• Pham, Q. C., Madhavan, R., Righetti, L., Smart, W., & Chatila, R. (2018). The impact of robotics and automation on working conditions and employment [ethical, legal, and societal issues]. IEEE Robotics & Automation Magazine, 25(2), 126–128. https://doi.org/10.1109/MRA.2018.2822058
   Web of Science ®Google Scholar
• Pianta, M. (2018). Technology and employment: Twelve stylised facts for the digital age. The Indian Journal of Labour Economics, 61(2), 189–225. https://doi.org/10.1007/s41027-018-0124-5
   Google Scholar
• Popkova, E. G., & Zmiyak, K. V. (2019). Priorities of training of digital personnel for industry 4.0: Social competencies vs technical competencies. On the Horizon, 27(3/4), 138–144. https://doi.org/10.1108/OTH-08-2019-0058
   Web of Science ®Google Scholar
• Rauf, M. A., Ashfaq, M., Hasan, R., & Manju, M. A. (2021). A comparative study on the impact of artificial intelligence on employment opportunities for university graduates in Germany and The Netherlands: AI opportunities and risks. International Journal of Environment, Workplace and Employment, 6(3), 185–204. https://doi.org/10.1504/IJEWE.2021.119679
   Google Scholar
• Sandelowski, M. (2000). Whatever happened to qualitative description? Research in Nursing & Health, 23(4), 334–340. https://doi.org/10.1002/1098-240X(200008)23:4<334::AID-NUR9>3.0.CO;2-G
   PubMed Web of Science ®Google Scholar
• Schwab, K. (2016). The fourth industrial revolution. Crown Publishing.
   Google Scholar
• Spencer, D. A. (2018). Fear and hope in an age of mass automation: Debating the future of work. New Technology, Work and Employment, 33(1), 1–12. https://doi.org/10.1111/ntwe.12105
   Web of Science ®Google Scholar
• Susskind, D. (2020). A world without work: Technology, automation and how we should respond. Penguin.
   Google Scholar
• Susskind, R. E., & Susskind, D. (2015). The future of the professions: How technology will transform the work of human experts. Oxford University Press.
   Google Scholar
• Swanson, J. (2017). The future of student life: Working. On the Horizon, 25(3), 165–168. https://doi.org/10.1108/OTH-05-2017-0022
   Google Scholar
• The Economist. (2015). Digital taylorism. The Economist. https://www.economist.com/business/2015/09/10/digital-taylorism
   Google Scholar
• World Economic Forum. (2016). The future of jobs: Employment, skills and workforce strategy for the fourth industrial revolution. Global Challenge Insight Report. https://www3.weforum.org/docs/WEF_Future_of_Jobs.pdf
   Google Scholar