Open Access
Issue
SHS Web Conf.
Volume 208, 2024
2024 International Workshop on Digital Strategic Management (DSM 2024)
Article Number 01021
Number of page(s) 6
Section Chapter 1: Digital Transformation Research
DOI https://doi.org/10.1051/shsconf/202420801021
Published online 12 December 2024
  1. N. Jia, X. Luo, Z. Fang, C. Liao, When and how artificial intelligence augments employee creativity. Academy of Management Journal. 67, 5 (2024) [CrossRef] [Google Scholar]
  2. J. Du, The impact of artificial intelligence adoption on employee unemployment: A multifaceted relationship. International Journal of Social Sciences and Public Administration. 2, 321 (2024) [CrossRef] [Google Scholar]
  3. C.B. Frey, M.A. Osborne, The future of employment: How susceptible are jobs to computerisation? Technological forecasting and social change. 114, 254 (2017) [CrossRef] [Google Scholar]
  4. McKinsey Global Institute. Jobs lost, jobs gained: Workforce transitions in a time of automation. McKinsey & Company. 11, 1 (2017) [Google Scholar]
  5. J. Bessen, AI and jobs: The role of demand (No. w24235). National Bureau of Economic Research. (2018) [Google Scholar]
  6. E. Brynjolfsson, The second machine age: Work, progress, and prosperity in a time of brilliant technologies. 2, 174 (2014) [Google Scholar]
  7. M. Saponaro, D. Le Gal, M. Gao, M. Guisiano, I.C. Maniere, December. Challenges and opportunities of artificial intelligence in the fashion world. In 2018 international conference on intelligent and innovative computing applications (ICONIC). IEEE. 06-07 December (2018) [Google Scholar]
  8. I. Goodfellow, Deep learning. (MIT Press, 2016) [Google Scholar]
  9. D. Jurafsky, Speech and Language Processing. An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition (2000) [Google Scholar]
  10. D. Autor, A. Salomons, Is automation labor-displacing? Productivity growth, employment, and the labor share (No. w24871). National Bureau of Economic Research (2018) [Google Scholar]
  11. E.J. Topol, High-performance medicine: the convergence of human and artificial intelligence. Nature medicine. 25, 44 (2019) [CrossRef] [Google Scholar]
  12. T.H. Davenport, J. Kirby, Just how smart are smart machines?. MIT Sloan Management Review. 57, 21 (2016) [Google Scholar]
  13. M. Rüßmann, M. Lorenz, P. Gerbert, M. Waldner, J. Justus, P. Engel, M. Harnisch, Industry 4.0: The future of productivity and growth in manufacturing industries. Boston consulting group. 9, 54 (2015) [Google Scholar]
  14. M. Chui, J. Manyika, M. Miremadi, Where machines could replace humans-and where they can’t (yet). The McKinsey Quarterly. 6, 1 (2016) [Google Scholar]
  15. J. Levinson, M. Montemerlo, S. Thrun, Map-based precision vehicle localization in urban environments. Robotics: Science and Systems. 4, 121 (2011) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.