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References and Further Reading

  • Abdih, Yasser and Stephan Danninger, What Explains the Decline of the US Labor Share of Income? An Analysis of State and Industry Level Data, IMF Working Paper No. 17/167, International Monetary Fund, 2017.
  • Accenture, New Skills Now: Inclusion in the Digital Economy, 2017.
    ———, Creating South Africa’s Future Workforce, 2018.
  • Acemoglu, Daron, “Labor- and Capital-Augmenting Technical Change”, Journal of the European Economic Association, vol. 1, no.1, 2003, pp. 1–37.
  • Acemoglu, Daron and Pascual Restrepo, The Race between Machine and Man: Implications of Technology for Growth, Factor Shares and Employment, NBER Working Paper no. 22252, National Board of Economic Research, 2016.
  • Acemoglu, Daron and Robert Shimer, “Productivity gains from unemployment insurance”, European Economic Review, vol. 44, 2000, pp. 1195–1224.
  • African Development Bank (AFDB), Asian Development Bank (ADB), European Bank for Reconstruction and Development (EBRD), and Inter-American Development Bank (IDB), The Future of Work: Regional Perspectives, 2018.
  • Alphabeta, The Automation Advantage: How Australia can seize a $2 trillion opportunity from automation and create millions of safer, more meaningful and more valuable jobs, 2017.
  • Arntz, Melanie, Terry Gregory and Ulrich Zierahn, The risk of automation for jobs in OECD countries: a comparative analysis, OECD Social, Employment and Migration Working Papers No 189, Organisation for Economic Cooperation and Development (OECD), 2016.
  • Asian Development Bank (ADB), Asian Development Outlook 2018: How Technology Affects Jobs, 2018.
  • Autor, David, “Why Are There Still So Many Jobs? The History and Future of Workplace Automation”, Journal of Economic Perspectives, vol. 29, no. 3, 2015, pp. 3–30.
  • Autor, David, Frank Levy and Richard Murnane, Upstairs, Downstairs: Computer-Skill Complementarity and Computer-Labor Substitution on Two Floors of a Large Bank, NBER Working Paper No. 7890, National Bureau of Economic Research, 2000.
  • Avent, Ryan, The Wealth of Humans: Work and its Absence in the Twenty-first Century, Penguin, 2016.
  • Babcock, Linda, et al., “Gender Differences in Accepting and Receiving Requests for Tasks with Low Promotability”, American Economic Review, vol. 107, no. 3, 2017, pp. 714–747.
  • Bain & Company, Labor 2030: The Collision of Demographics, Automation and Inequality, 2018.
  • Bakhshi, Hasan, et al., The Future of Skills: Employment in 2030, Pearson, Nesta and The Oxford Martin School, 2017.
  • Baldwin, Richard, The Great Convergence: Information Technology and the New Globalization, Harvard University Press, 2016.
  • Balliester, Thereza and Adam Elsheikhi, The Future of Work: A Literature Review, ILO Research Department Working Paper No. 29, International Labour Organization, 2018.
  • Barclays, Robots at the gate: Humans and technology at work, 2018.
  • Behrendt, Christina and Quynh Anh Nguyen, Innovative Approaches for Ensuring Universal Social Protection for the Future of Work, ILO Future of Work Research Paper Series No. 1, International Labour Organization, 2018.
  • Berg, Andrew, Edward Buffie and Luis-Felipe Zanna, Should We Fear the Robot Revolution? (The Correct Answer is Yes), IMF Working Paper No. 18/116, International Monetary Fund, 2018.
  • Bessen, James, Toil and Technology: Innovative technology is displacing workers to new jobs rather than replacing them entirely, IMF Finance and Development Magazine, March 2015.
  • Chan, Curtis and Michael Anteby, “Task Segregation as a Mechanism for Within-job Inequality: Women and Men of the Transportation Security Administration”, Administrative Science Quarterly, vol. 61, no. 2, 2016, pp. 184–216.
  • Chang, Jae-Hee and Phu Huynh, ASEAN in Transformation: The Future of Jobs at Risk of Automation, International Labour Office Bureau for Employers’ Activities Working Paper No. 9, International Labour Office, 2016.
  • Cline, Bill, Maureen Brady, David Montes, Chris Foster and Davim, Catia The Augmented Workforce: 4 areas for financial insitutions to consider when pursuing intelligent automation for greater value and productivity, KPMG Insights, 2018, https://home.kpmg.com/xx/en/home/insights/2018/06/augmented-workforce-fs.html.
  • Cognizant, 21 Jobs of the Future: A Guide to Getting – and Staying – Employed over the Next Ten Years, 2017.
    ———, The Robot and I: How New Digital Technologies Are Making Smart People and Businesses Smarter by Automating Rote Work, 2015.
  • Cohen, Lisa, “Assembling Jobs: A Model of How Tasks Are Bundled Into and Across Jobs”, Organization Science, vol. 24, no. 2, 2012.
  • Davenport, Thomas and Julia Kirby, Beyond Automation, Harvard Business Review, June 2015.
  • DeCanio, Stephen, “Robots and humans – complements or substitutes?”, Journal of Macroeconomics, vol. 49, 2016, pp. 280–291.
  • Dellot, Benedict, “Why automation is more than just a job killer”, RSA Blog, 20 July 2018, https://www.thersa.org/discover/publications-and-articles/rsa-blogs/2018/07/the-four-types-of-automation-substitution-augmentation-generation-and-transference.
  • Deloitte, Reconstructing Jobs: Creating good jobs in the age of artificial intelligence, https://www2.deloitte.com/content/dam/insights/us/articles/AU308_Reconstructing-jobs/DI_Reconstructing-jobs.pdf, 2018.
  • Deming, David and Lisa B. Kahn, “Skill Requirements across Firms and Labor Markets: Evidence from Job Postings for Professionals”, Journal of Labor Economics, vol. 36, no. S1, 2018, pp. S337–S369.
  • European Centre for the Development of Vocational Training (CEDEFOP), Briefing Note: Preventing skill obsolescence, http://www.cedefop.europa.eu/files/9070_en.pdf, 2012.
  • Hirsch-Kreinsen, Hartmut, “Digitization of industrial work: development paths and prospects”, Journal of Labour Market Research, vol. 49, no. 1, 2016, pp. 1–14.
  • Institut Sapiens, L’impact de la révolution digitale sur l’emploi, https://www.institutsapiens.fr/wp-content/uploads/2018/08/Note-impact-digital-sur-lemploi.pdf, 2018.
  • International Federation of Robotics, The Impact of Robots on Productivity, Employment and Jobs: A positioning paper by the International Federation of Robotics, 2017.
  • International Labour Organization (ILO), Inception Report for the Global Commission on the Future of Work, 2017.
    ———, Synthesis Report of the National Dialogues on the Future of Work, 2017.
  • Jesuthasan, Ravin, “You may not be a disrupter, but you might find opportunities in the gig economy”, Willis Towers Watson Blog, 24 July 2017, https://www.willistowerswatson.com/en/insights/2017/07/insights-gig-economy.
  • Jesuthasan, Ravin and John Boudreau, Thinking Through How Automation Will Affect Your Workforce, Harvard Business Review, April 2017.
  • McKinsey & Company, Skill Shift: Automation and the Future of the Workforce, Discussion Paper, McKinsey Global Institute (MGI), 2018.
    ———, A Future That Works: Automation, Employment, and Productivity, McKinsey Global Institute (MGI), 2017.
    ———, Jobs lost, jobs gained: Workforce Transitions in a Time of Automation, McKinsey Global Institute (MGI), 2017.
  • Mitchell, Tom and Erik Brynjolfsson, “Track how technology is transforming work,” Nature, vol. 544, no. 7650, 2017.
  • Nedelkoska, Ljubica and Glenda Quintini, Automation, skills use and training, OECD Social, Employment and Migration Working Papers, No. 202, OECD, http://dx.doi.org/10.1787/2e2f4eea-en, 2018.
  • Organisation for Economic Co-operation and Development (OECD), Basic income as a policy option: Can it add up?, 2017.
  • PwC, Will robots really steal our jobs? An international analysis of the potential long-term impact of automation, 2018.
  • Quest Alliance, Tandem Research and Microsoft Philanthropies, Skills for Future Jobs: Technology and the Future of Work in India, 2018.
  • Reijnders, Laurie S.M. and Gaaitzen de Vries, Job Polarization in Advanced and Emerging Countries: The Role of Task Relocation and Technological Change within Global Supply Chains, GGDC Research Memorandum 167, University of Groningen-Groningen Growth and Development Centre, 2017.
  • Schneider, Todd. et al., “Land of the Rising Robots”, Finance and Development Magazine, International Monetary Fund (IMF), June 2018.
  • Schwab, Klaus, The Fourth Industrial Revolution, World Economic Forum, 2016.
  • Shook, Ellyn and Mark Knickrehm, Harnessing Revolution: Creating the Future Workforce, Accenture Strategy, 2017.
  • Taylor, Matthew, Good work: The Taylor Review of Modern Working Practices, Report for the UK Government, 2017.
  • The Economist Intelligence Unit and ABB, The Automation Readiness Index: Who is Ready for the Coming Wave of Automation?, 2018.
  • Ton, Zeynep and Sarah Kalloch, Transforming Today’s Bad Jobs into Tomorrow’s Good Jobs, Harvard Business Review, June 2017.
  • van der Zande, Jochem, et al., The Substitution of Labor: From technological feasibility to other factors influencing job automation, Innovative Internet: Report 5, Stockholm School of Economics Institute for Research, 2018.
  • Vats, Anshu, Abdulkarim Alyousef and Stephen Clements, How Can Nations Prepare For the Industries of Tomorrow? “Make” It Happen – Harnessing the Maker Movement to Transform GCC Economies, Oliver Wyman, 2017.
  • World Economic Forum, Towards a Reskilling Revolution: A Future of Jobs for All, 2018.
    ———, Accelerating Gender Parity in the Fourth Industrial Revolution, 2017.
    ———, Accelerating Workforce Reskilling for the Fourth Industrial Revolution, 2017.
    ———, Eight Futures of Work: Scenarios and their Implications, 2018.
    ———, The Future of Jobs: Employment, Skills and Workforce Strategy for the Fourth Industrial Revolution, 2016.
    ———, The Future of Jobs and Skills in Africa, 2017.
    ———, The Future of Jobs and Skills in MENA, 2017.
    ———, The Global Gender Gap Report 2017, 2017.
    ———, The Global Human Capital Report 2017, 2017.
    ———, How to Prevent Discriminatory Outcomes in Machine Learning, 2018.
    ———, Realizing Human Potential in the Fourth Industrial Revolution, 2017.
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