0%

Book Description


Since the late 20th Century, Human Resources (HR) has had a legal obligation to produce reports for management in most firms. However, these have long been considered restrictive and are seldom used to improve decision-making. More recently, the emergence of analytics, Big Data and algorithms has enabled a reconfiguration of the uses of quantification in HR. Accompanied by empirical examples, this book presents and defines the different tools and uses of quantification in HR. It studies the effect of these tools on decision-making and ? without subscribing to the myth of objective and rational quantification ? presents the contributions and limits of the use of data in HR, and analyzes the potential risks of excessive quantification. It also discusses the appropriation of these tools by the various players in a company and examines their effects on the position of HR.

Table of Contents

  1. Cover
  2. Acknowledgments
  3. Introduction
  4. 1 From the Statisticalization of Labor to Human Resources Algorithms: The Different Uses of Quantification
    1. 1.1. Quantifying reality: quantifying individuals or positions
    2. 1.2. From reporting to HR data analysis
    3. 1.3. Big Data and the use of HR algorithms
  5. 2 Quantification and Decision-making
    1. 2.1. In search of objectivity
    2. 2.2. In search of personalization
    3. 2.3. In search of predictability
  6. 3 How are Quantified HR Management Tools Appropriated by Different Agents?
    1. 3.1. The different avatars of the link between managerial rationalization and quantification
    2. 3.2. Distrust of data collection and processing
    3. 3.3. Distrust of a disembodied decision
  7. 4 What Effects are the Effects of Quantification on the Human Resources Function?
    1. 4.1. Quantification for HR policy evaluation?
    2. 4.2. Quantifying in order to legitimize the HR function?
    3. 4.3. The quantification and risk of HR business automation
  8. 5 The Ethical Issues of Quantification
    1. 5.1. Protection of personal data
    2. 5.2. Quantification and discrimination(s)
    3. 5.3. Opening the “black box” of quantification
  9. Conclusion
  10. References
  11. Index
  12. End User License Agreement
18.217.73.187