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Management Practices and Firm Performance During the Great Recession

Author

Listed:
  • Florian Englmaier

    (LMU Munich)

  • Jose E. Galdon-Sanchez

    (Universidad Publica de Navarra)

  • Ricard Gil

    (IESE Business School)

  • Michael Kaiser

    (E.CA Economics)

  • Helene Strandt

    (LMU Munich)

Abstract

This paper empirically examines how management practices affect firm productivity over the business cycle. Using plant-level high-dimensional human resource policies survey data collected in Spain in 2006, we employ unsupervised machine learning to describe clusters of management practices (“management styles”). We establish a positive correlation between a management style associated with structured management and performance prior to the 2008 financial crisis. Interestingly, this correlation turns negative during the financial crisis and positive again in the economic recovery post-2013. Our evidence suggests firms with more structured management are more likely to have practices fostering culture and intangible investments such that they focus in long-run profitability, prioritizing innovation over cost reduction, while having higher adjustment costs in the short-run through higher share of fixed assets and lower employee turnover.

Suggested Citation

  • Florian Englmaier & Jose E. Galdon-Sanchez & Ricard Gil & Michael Kaiser & Helene Strandt, 2025. "Management Practices and Firm Performance During the Great Recession," Rationality and Competition Discussion Paper Series 548, CRC TRR 190 Rationality and Competition.
  • Handle: RePEc:rco:dpaper:548
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    References listed on IDEAS

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    Keywords

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    JEL classification:

    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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