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Optimal time switching from tayloristic to holistic workplace organization

Author

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  • Thomas Vallée

    (LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - IEMN-IAE Nantes - Institut d'Économie et de Management de Nantes - Institut d'Administration des Entreprises - Nantes - UN - Université de Nantes)

  • Eva Moreno-Galbis

    (GAINS - Groupe d'Analyse des Itinéraires et des Niveaux Salariaux - UM - Le Mans Université)

Abstract

The introduction of information and communication technologies over the past decades has fostered a process of internal workplace reorganization of firms who have tried to maximize their performance. Using a two stage optimal control technique, this paper provides analytical solutions to the conditions under which an economy decides to adopt a new organizational regime characterized by multitasking and an horizontal hierarchical structure (holistic organization). We consider two flexibility options : a) the possibility that only a part of the labor force is shifted to the modern wokrplace organization and, b) the possibility that the loss of productivity is not permanent. In all cases we conclude that the modern organization is adopted if and only if the productivity gains in the capital-goods sector compensate both the loss of expertise suffered by workers and he drop in consumption.

Suggested Citation

  • Thomas Vallée & Eva Moreno-Galbis, 2010. "Optimal time switching from tayloristic to holistic workplace organization," Working Papers hal-00455149, HAL.
  • Handle: RePEc:hal:wpaper:hal-00455149
    Note: View the original document on HAL open archive server: https://hal.science/hal-00455149
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    Cited by:

    1. is not listed on IDEAS
    2. Raouf Boucekkine & Carmen Camacho & Benteng Zou, 2020. "Optimal switching from competition to cooperation: a preliminary exploration," PSE Working Papers halshs-02434786, HAL.
    3. Stefan Wrzaczek & Michael Kuhn & Ivan Frankovic, 2020. "Using Age Structure for a Multi-stage Optimal Control Model with Random Switching Time," Journal of Optimization Theory and Applications, Springer, vol. 184(3), pages 1065-1082, March.
    4. Elke Moser & Andrea Seidl & Gustav Feichtinger, 2014. "History-dependence in production-pollution-trade-off models: a multi-stage approach," Annals of Operations Research, Springer, vol. 222(1), pages 457-481, November.

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