Quantifying human resources uses and analyses
Autor principal: | |
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Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
London : Hoboken :
ISTE, Ltd. ; Wiley
2020.
|
Colección: | Wiley ebooks.
Technological innovations and human resources set ; v. 2. |
Acceso en línea: | Conectar con la versión electrónica |
Ver en Universidad de Navarra: | https://innopac.unav.es/record=b4215201x*spi |
Tabla de Contenidos:
- Cover
- Half-Title Page
- Dedication
- Title Page
- Copyright Page
- Contents
- Acknowledgments
- Introduction
- I.1. The omnipresence of quantification in Western societies
- I.2. The specific challenges of human resources quantification: quantifying the human being
- I.3. HR quantification: effective solution or myth? Two lines of research
- I.4. The positioning of this work
- I.5. Structure of the book
- 1. From the Statisticalization of Labor to Human Resources Algorithms: The Different Uses of Quantification
- 1.1. Quantifying reality: quantifying individuals or positions.
- 1.1.1. The statisticalization of individuals and work
- 1.1.2. Informing and justifying decisions concerning individuals
- 1.2. From reporting to HR data analysis
- 1.2.1. HR reports and dashboards: definitions and examples
- 1.2.2. HR analytics and statistical studies
- 1.3. Big Data and the use of HR algorithms
- 1.3.1. Big Data in HR: definitions and examples
- 1.3.2. The breaks introduced by Big Data in HR
- 2. Quantification and Decision-making
- 2.1. In search of objectivity
- 2.1.1. The myth of objective quantification
- 2.1.2. Limited objectivity.
- 2.1.3. Objectivity, a central issue in HR
- 2.2. In search of personalization
- 2.2.1. Are we reaching the end of the positioning of statistics as a science of large numbers?
- 2.2.2. Personalization: a challenge for the HR function
- 2.3. In search of predictability
- 2.3.1. Are we heading toward a rise in predictability at the expense of understanding?
- 2.3.2. The predictive approach: an issue for the HR function
- 3. How are Quantified HR Management Tools Appropriated by Different Agents?
- 3.1. The different avatars of the link between managerial rationalization and quantification.
- 3.1.1. Bureaucracy
- 3.1.2. New Public Management
- 3.1.3. Algorithmic management
- 3.2. Distrust of data collection and processing
- 3.2.1. Providing data, not such a harmless approach for employees
- 3.2.2. Can numbers be made to reflect whatever we like?
- 3.3. Distrust of a disembodied decision
- 3.3.1. Decisions made solely on the basis of figures
- 3.3.2. Decisions made solely by algorithms
- 4. What Effects are the Effects of Quantification on the Human Resources Function?
- 4.1. Quantification for HR policy evaluation?
- 4.1.1. Measuring the implementation of HR policies.
- 4.1.2. Measuring the effects of HR policies
- 4.2. Quantifying in order to legitimize the HR function?
- 4.2.1. Measuring the performance of the HR function
- 4.2.2. Measuring the link between HR function performance and organizational performance
- 4.3. The quantification and risk of HR business automation
- 4.3.1. HR professions with a high risk of automation
- 4.3.2. Support for the employees concerned
- 5. The Ethical Issues of Quantification
- 5.1. Protection of personal data
- 5.1.1. Risks relating to personal data.
- 5.1.2. Obligations and actions of companies with regard to the protection of personal data.