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The O*NET content model: strengths and limitations
[Stärken und Grenzen des O*NET-Models]

Citations

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Cited by:

  1. Moh Hosseinioun & Frank Neffke & Letian Zhang & Hyejin Youn, 2025. "Skill dependencies uncover nested human capital," Nature Human Behaviour, Nature, vol. 9(4), pages 673-687, April.
  2. Böhm, Robert & Letmathe, Peter & Schinner, Matthias, 2023. "The monetary value of competencies: A novel method and case study in smart manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
  3. Sörman, Daniel Eriksson & Stenling, Andreas & Sundström, Anna & Rönnlund, Michael & Vega-Mendoza, Mariana & Hansson, Patrik & Ljungberg, Jessica K., 2021. "Occupational cognitive complexity and episodic memory in old age," Intelligence, Elsevier, vol. 89(C).
  4. repec:eur:ejesjr:364 is not listed on IDEAS
  5. Arief A. Yusuf & Reza Anglingkusumo & Andy Sumner & Putri R. Halim & Anggita C.M. Kusuma, 2020. "Routinization And The Changing Task Composition In The Labor Market: Evidence From Indonesia," Working Papers WP/06/2020, Bank Indonesia.
  6. repec:eur:ejesjr:361 is not listed on IDEAS
  7. Milena Nikolova & Anthony Lepinteur & Femke Cnossen, 2025. "Just another cog in the machine? A worker‐level view of robotization and tasks," Economica, London School of Economics and Political Science, vol. 92(368), pages 1101-1148, October.
  8. Evans, Andrew J., 2025. "Methodological implications of using machine learning to estimate the impact of AI on the workforce," Technological Forecasting and Social Change, Elsevier, vol. 218(C).
  9. Fareri, Silvia & Apreda, Riccardo & Mulas, Valentina & Alonso, Ruben, 2023. "The worker profiler: Assessing the digital skill gaps for enhancing energy efficiency in manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
  10. Sabina Szymczak, 2023. "Systematic literature review: theory on GVCs' impact on wages, employment, and productivity," GUT FME Working Paper Series A 71, Faculty of Management and Economics, Gdansk University of Technology.
  11. G. Jacob Blackwood & Cindy Cunningham & Matthew Dey & Lucia Foster & Cheryl Grim & John Haltiwanger & Rachel Nesbit & Sabrina Wulff Pabilonia & Jay Stewart & Cody Tuttle & Zoltan Wolf, 2023. "Opening the Black Box: Task and Skill Mix and Productivity Dispersion," NBER Chapters, in: Technology, Productivity, and Economic Growth, pages 323-360, National Bureau of Economic Research, Inc.
  12. Chiarello, Filippo & Fantoni, Gualtiero & Hogarth, Terence & Giordano, Vito & Baltina, Liga & Spada, Irene, 2021. "Towards ESCO 4.0 – Is the European classification of skills in line with Industry 4.0? A text mining approach," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
  13. Granata,Julia & Moroz,Harry Edmund & Nga Thi Nguyen, 2023. "Identifying Skills Needs in Vietnam: The Survey of Detailed Skills," Policy Research Working Paper Series 10565, The World Bank.
  14. Giuseppe De Arcangelis & Rama Dasi Mariani, 2019. "Multi-Country Tasks Measures: Beyond US-based Data and a Focus on Migration," Economics Bulletin, AccessEcon, vol. 39(3), pages 2155-2161.
  15. Montobbio, Fabio & Staccioli, Jacopo & Virgillito, Maria Enrica & Vivarelli, Marco, 2021. "Labour-Saving Automation and Occupational Exposure: A Text-Similarity Measure," IZA Discussion Papers 14879, Institute of Labor Economics (IZA).
  16. Gottlieb, Charles & Grobovšek, Jan & Poschke, Markus & Saltiel, Fernando, 2021. "Working from home in developing countries," European Economic Review, Elsevier, vol. 133(C).
  17. Greenspon, Jacob & Raimi, Daniel, 2022. "Matching Geographies and Job Skills in the Energy Transition," RFF Working Paper Series 22-25, Resources for the Future.
  18. Parsons, Christopher & Reysenbach, Tyler & Wahba, Jackline, 2020. "Network Sorting and Labor Market Outcomes: Evidence from the Chaotic Dispersal of the Viet Kieu," IZA Discussion Papers 13952, Institute of Labor Economics (IZA).
  19. Fruehwirt, Wolfgang & Duckworth, Paul, 2021. "Towards better healthcare: What could and should be automated?," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
  20. Christenko, Aleksandr, 2022. "Automation and occupational mobility: A task and knowledge-based approach," Technology in Society, Elsevier, vol. 70(C).
  21. Jacqueline Mosomi & Amy Thornton, 2022. "Physical proximity and occupational employment change by gender during the COVID-19 pandemic," WIDER Working Paper Series wp-2022-90, World Institute for Development Economic Research (UNU-WIDER).
  22. Francesco Roncone, 2025. "Work-Hour Instability, Occupational Mobility and Gender," Working Papers wp1201, Dipartimento Scienze Economiche, Universita' di Bologna.
  23. Ximena P. Vergara & Kathryn Gibb & David P. Bui & Elisabeth Gebreegziabher & Elon Ullman & Kyle Peerless, 2025. "Extending a COVID-19 Job Exposure Matrix: The SARS-CoV-2 or COVID-19 Job Exposure Matrix Module (SCoVJEM Module) for Population-Based Studies," IJERPH, MDPI, vol. 22(3), pages 1-18, March.
  24. Christelle Khalaf & Gilbert Michaud & G. Jason Jolley, 2023. "Predicting declining and growing occupations using supervised machine learning," Journal of Computational Social Science, Springer, vol. 6(2), pages 757-780, October.
  25. Eduard Storm, 2023. "On the measurement of tasks: does expert data get it right?," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 57(1), pages 1-24, December.
  26. Chigusa Okamoto, 2019. "The effect of automation levels on US interstate migration," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 63(3), pages 519-539, December.
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