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Managing Skills in Organizations - Evidence from a Field Experiment

Author

Listed:
  • Grabe, Leonhard

    (University of Cologne)

  • Sliwka, Dirk

    (University of Cologne)

Abstract

We study the value of skill management in organizations. In a natural field experiment with 2,582 service technicians, we vary managers' ability to monitor and manage employee skills. We find that removing managers' access to hard information on employee skills reduced training intensity, work performance, and job satisfaction. Combining detailed personnel records and survey data, we show that the intervention lowered employee efforts to identify training needs and managerial attention to employee development. In particular, high-skill employees received less training to broaden their skill set and, in turn, performance losses are driven by higher completion times for complex work assignments.

Suggested Citation

  • Grabe, Leonhard & Sliwka, Dirk, 2025. "Managing Skills in Organizations - Evidence from a Field Experiment," IZA Discussion Papers 17727, IZA Network @ LISER.
  • Handle: RePEc:iza:izadps:dp17727
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    References listed on IDEAS

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    1. Santiago Caicedo & Miguel Espinosa & Arthur Seibold, 2022. "Unwilling to Train?—Firm Responses to the Colombian Apprenticeship Regulation," Econometrica, Econometric Society, vol. 90(2), pages 507-550, March.
    2. Giorgio Brunello & Patricia Wruuck, 2021. "Skill shortages and skill mismatch: A review of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1145-1167, September.
    3. Hanushek, Eric A. & Schwerdt, Guido & Wiederhold, Simon & Woessmann, Ludger, 2015. "Returns to skills around the world: Evidence from PIAAC," European Economic Review, Elsevier, vol. 73(C), pages 103-130.
    4. Jensen, Nathan & Lyons, Elizabeth & Chebelyon, Eddy & Bras, Ronan Le & Gomes, Carla, 2020. "Conspicuous monitoring and remote work," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 489-511.
    5. 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.
    6. Achyuta Adhvaryu & Anant Nyshadham & Jorge Tamayo, 2023. "Managerial Quality and Productivity Dynamics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(4), pages 1569-1607.
    7. Nicholas Bloom & Raffaella Sadun & John Van Reenen, 2010. "Recent Advances in the Empirics of Organizational Economics," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 105-137, September.
    8. Black, Sandra E & Lynch, Lisa M, 1996. "Human-Capital Investments and Productivity," American Economic Review, American Economic Association, vol. 86(2), pages 263-267, May.
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    Keywords

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    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation
    • M53 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Training

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