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Use of Digital Technologies for HR Management in Germany: Survey Evidence

Author

Listed:
  • Marina Chugunova

    (Max Planck Institute for Innovation and Competition)

  • Anastasia Danilov

    (HU Berlin)

Abstract

Using a survey with 57 German firms, we evaluate the level of digitalization of the human resource management (HRM) function and document perceived benefits and barriers of technology adoption from organizational and individual users’ perspectives. The results give reason for optimism. Most of the companies report that the core HR processes are digitized. We do not observe adverse effects of the digital HRM tools on users’ job satisfaction and work stress. Still, more than half of companies do not yet use digital tools for strategic HRM decisions. Respondents appreciate the increased speed and cost-efficiency of digital HR processes and associate them with a competitive advantage in talent acquisition. The most prominent barriers to adoption are lack of qualified professionals, high costs, and uncertainty regarding the legal framework. Additionally, we test whether small and medium-sized enterprises differ systematically from larger organizations in how they use digital HRM tools.

Suggested Citation

  • Marina Chugunova & Anastasia Danilov, 2023. "Use of Digital Technologies for HR Management in Germany: Survey Evidence," Rationality and Competition Discussion Paper Series 485, CRC TRR 190 Rationality and Competition.
    • Handle: RePEc:rco:dpaper:485
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    References listed on IDEAS

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    1. Mitchell Hoffman & Lisa B Kahn & Danielle Li, 2018. "Discretion in Hiring," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(2), pages 765-800.
    2. Kevin J. Stiroh, 2001. "What drives productivity growth?," Economic Policy Review, Federal Reserve Bank of New York, issue Mar, pages 37-59.
    3. David Lesaint & Christos Voudouris & Nader Azarmi, 2000. "Dynamic Workforce Scheduling for British Telecommunications plc," Interfaces, INFORMS, vol. 30(1), pages 45-56, February.
    4. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 339-376.
    5. Jay Dixon & Bryan Hong & Lynn Wu, 2021. "The Robot Revolution: Managerial and Employment Consequences for Firms," Management Science, INFORMS, vol. 67(9), pages 5586-5605, September.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    digital HRM tools; human resource management; digitalization; Germany;
    All these keywords.

    JEL classification:

    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • M50 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - General
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe

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