Quantifying human resources : uses and analyses

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.