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Digital Technologies, Job Quality and Employer-provided Training

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  • Grimm, Felix

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  • Grimm, Felix, 2024. "Digital Technologies, Job Quality and Employer-provided Training," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302402, Verein für Socialpolitik / German Economic Association.
  • Handle: RePEc:zbw:vfsc24:302402
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    References listed on IDEAS

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    1. Nicholas Bloom & Luis Garicano & Raffaella Sadun & John Van Reenen, 2014. "The Distinct Effects of Information Technology and Communication Technology on Firm Organization," Management Science, INFORMS, vol. 60(12), pages 2859-2885, December.
    2. Nikolova, Milena & Cnossen, Femke, 2020. "What makes work meaningful and why economists should care about it," Labour Economics, Elsevier, vol. 65(C).
    3. Brunello, Giorgio & Rückert, Désirée & Weiss, Christoph & Wruuck, Patricia, 2023. "Advanced digital technologies and investment in employee training: Complements or substitutes?," EIB Working Papers 2023/01, European Investment Bank (EIB).
    4. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    5. Henrik Schwabe & Fulvio Castellacci, 2020. "Automation, workers’ skills and job satisfaction," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-26, November.
    6. repec:iab:iabfda:201703(en is not listed on IDEAS
    7. Christian Gunadi & Hanbyul Ryu, 2021. "Does the rise of robotic technology make people healthier?," Health Economics, John Wiley & Sons, Ltd., vol. 30(9), pages 2047-2062, September.
    8. Ajay Agrawal & Joshua S. Gans & Avi Goldfarb, 2019. "Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 31-50, Spring.
    9. Osea Giuntella & Johannes König & Luca Stella, 2023. "Artificial Intelligence and Workers’ Well-being," SOEPpapers on Multidisciplinary Panel Data Research 1194, DIW Berlin, The German Socio-Economic Panel (SOEP).
    10. Nazareno, Luísa & Schiff, Daniel S., 2021. "The impact of automation and artificial intelligence on worker well-being," Technology in Society, Elsevier, vol. 67(C).
    11. Erik Brynjolfsson & Tom Mitchell & Daniel Rock, 2018. "What Can Machines Learn, and What Does It Mean for Occupations and the Economy?," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 43-47, May.
    12. Andrew E. Clark, 2015. "What makes a good job? Job quality and job satisfaction," IZA World of Labor, Institute of Labor Economics (IZA), pages 215-215, December.
    13. Francis Green, 2012. "Employee Involvement, Technology and Evolution in Job Skills: A Task-Based Analysis," ILR Review, Cornell University, ILR School, vol. 65(1), pages 36-67, January.
    14. Broszeit, Sandra & Frodermann, Corinna & Grunau, Philipp & Wolter, Stefanie, 2017. "LPP-Linked Personnel Panel survey data linked with administrative data of the IAB (LPP-ADIAB) 1975 - 2014," FDZ Datenreport. Documentation on Labour Market Data 201703_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    Full references (including those not matched with items on IDEAS)

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    JEL classification:

    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General

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