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Big Data in HR: Towards a new convention on quantification?
[Le « Big Data RH » : vers une nouvelle convention de quantification ?]

Author

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  • Clotilde Coron

    (LAB IAE Paris - Sorbonne - IAE Paris - Sorbonne Business School)

Abstract

The use of big data in various spheres of society is modifying how we consume, obtain information and make decisions. However few studies have focused on how big data affects the way we use statistics and, in particular, quantify human resources (HR). Based on the theoretical framework of the "sociology of quantification", this research seeks to examine whether, and how much, using big data contributes to designing new conventions on quantification in human resource management. It involved a case study that, conducted during a long period of immersion as the head of a firm's "Big Data HR Project", was followed up with eight semi-directive interviews. Big data contributed to creating a new convention about HR quantification based on a predictive (and no longer explanatory) approach. This convention has four paradigms: the model's completeness, correlation, personalization and ongoing improvements.

Suggested Citation

  • Clotilde Coron, 2019. "Big Data in HR: Towards a new convention on quantification? [Le « Big Data RH » : vers une nouvelle convention de quantification ?]," Post-Print hal-02050882, HAL.
    • Handle: RePEc:hal:journl:hal-02050882
    Note: View the original document on HAL open archive server: https://hal.science/hal-02050882
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    References listed on IDEAS

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    Full references (including those not matched with items on IDEAS)

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