The Quantified Worker
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The Quantified Worker
Author | : Ifeoma Ajunwa |
Publsiher | : Cambridge University Press |
Total Pages | : 477 |
Release | : 2023-04-30 |
Genre | : Law |
ISBN | : 9781316946718 |
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The information revolution has ushered in a data-driven reorganization of the workplace. Big data and AI are used to surveil workers and shift risk. Workplace wellness programs appraise our health. Personality job tests calibrate our mental state. The monitoring of social media and surveillance of the workplace measure our social behavior. With rich historical sources and contemporary examples, The Quantified Worker explores how the workforce science of today goes far beyond increasing efficiency and threatens to erase individual personhood. With exhaustive detail, Ifeoma Ajunwa shows how different forms of worker quantification are enabled, facilitated, and driven by technological advances. Timely and eye-opening, The Quantified Worker advocates for changes in the law that will mitigate the ill effects of the modern workplace.
The Quantified Worker
Author | : Ifeoma Ajunwa |
Publsiher | : Cambridge University Press |
Total Pages | : 477 |
Release | : 2023-04-30 |
Genre | : Business & Economics |
ISBN | : 9781107186033 |
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This book argues that technological developments in the workplace have 'quantified' the modern worker to the detriment of social equality.
The Quantified Self in Precarity
Author | : Phoebe V. Moore |
Publsiher | : Routledge |
Total Pages | : 234 |
Release | : 2017-09-11 |
Genre | : Social Science |
ISBN | : 9781317201601 |
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Humans are accustomed to being tool bearers, but what happens when machines become tool bearers, calculating human labour via the use of big data and people analytics by metrics? The Quantified Self in Precarity highlights how, whether it be in insecure ‘gig’ work or office work, such digitalisation is not an inevitable process – nor is it one that necessarily improves working conditions. Indeed, through unique research and empirical data, Moore demonstrates how workplace quantification leads to high turnover rates, workplace rationalisation and worker stress and anxiety, with these issues linked to increased rates of subjective and objective precarity. Scientific management asked us to be efficient. Now, we are asked to be agile. But what does this mean for the everyday lives we lead? With a fresh perspective on how technology and the use of technology for management and self-management changes the ‘quantified’, precarious workplace today, The Quantified Self in Precarity will appeal to undergraduate and postgraduate students interested in fields such as Science and Technology, Organisation Management, Sociology and Politics.
Work and Labor in the Digital Age
Author | : Steven P. Vallas,Anne Kovalainen |
Publsiher | : Emerald Group Publishing |
Total Pages | : 270 |
Release | : 2019-07-04 |
Genre | : Social Science |
ISBN | : 9781789735871 |
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This volume presents the most recent studies of work and labor in the digital age as it unfolds in both Europe and the United States.
Creepy Analytics Avoid Crossing the Line and Establish Ethical HR Analytics for Smarter Workforce Decisions
Author | : Salvatore V. Falletta |
Publsiher | : McGraw Hill Professional |
Total Pages | : 289 |
Release | : 2024-02-27 |
Genre | : Business & Economics |
ISBN | : 9781265133610 |
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Discover how to develop and implement an HR analytics system that benefits employees, as well as your organization The potential of HR analytics is a major discussion among scholars, practitioners, thought leaders, and technology vendors, with companies like Amazon, Apple, Google, and Meta digging deeply into HR research and analytics practices that extend beyond simple metrics, scorecards, and reporting. Additionally, ethical questions have begun to arise about the potential abuses of HR analytics with respect to technological advancements and the “datafication” of personal—and often trivial—characteristics, preferences, and behaviors that have little relevance to job performance. As a former chief human resources officer, head of Global HR Research and Analytics at a Fortune 100, and thought leader on this subject, Salvatore Falletta has witnessed first-hand the emergence of “creepy analytics” as a hot-button issue. In this one-of-a-kind guide, Falletta delivers a proven step-by-step process for establishing HR analytics capabilities that serve employees and organizations alike. You’ll learn how to rethink and redefine HR analytics, determine stakeholder requirements, gather and transform data, communicate intelligence results, and establish an ethical ecosystem to ensure HR analytics remains a force for good.
An Investigation of Exposure Assessment Methods for Selected Physical Demands in Hand intensive Work
Author | : Marissa Luella Ebersole |
Publsiher | : Unknown |
Total Pages | : 328 |
Release | : 2005 |
Genre | : Electronic Book |
ISBN | : UOM:39015062469880 |
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Humans and Machines at Work
Author | : Phoebe V. Moore,Martin Upchurch,Xanthe Whittaker |
Publsiher | : Springer |
Total Pages | : 260 |
Release | : 2017-10-06 |
Genre | : Social Science |
ISBN | : 9783319582320 |
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This edited collection provides a series of accounts of workers’ local experiences that reflect the ubiquity of work’s digitalisation. Precarious gig economy workers ride bikes and drive taxis in China and Britain; call centre workers in India experience invasive tracking; warehouse workers discover that hidden data has been used for layoffs; and academic researchers see their labour obscured by a ‘data foam’ that does not benefit them. These cases are couched in historical accounts of identity and selfhood experiments seen in the Hawthorne experiments and the lineage of automation. This book will appeal to scholars in the Sociology of Work and Digital Labour Studies and anyone interested in learning about monitoring and surveillance, automation, the gig economy and the quantified self in the workplace.
Augmented Exploitation
Author | : Phoebe V. Moore,Jamie Woodcock |
Publsiher | : Unknown |
Total Pages | : 176 |
Release | : 2021-03 |
Genre | : Electronic Book |
ISBN | : 0745343503 |
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Artificial intelligence should be changing society, not reinforcing capitalist notions of work