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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.

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Technological change is exciting as much as it is daunting. The arrival of new digital tools affects consumption patterns, types of employment and working conditions, and can pose challenges to organizations and individuals alike. Indeed, although technological change is a factor for economic growth, it can also be an amplifier, or even a catalyst, of inequality. It is also a social change and interacts in complex ways: technology is both the source and the consequence of social transformation. To understand technological change and to harness its effects, this book studies transformations at different levels (societal, organizational and individual). In its analysis of the subject, it also draws on a number of disciplines of the human and social sciences, such as anthropology, sociology and psychology.

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