Humans and Machines at Work

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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.

Examines how new forms of surveillance are being adopted into contemporary work Draws from original empirical research engaging with existing and emerging fields of social enquiry Discusses the occurrence of surveillance and new forms of measure of work in a range of industries Includes supplementary material: sn.pub/extras

Autorentext
Phoebe V. Moore works at Middlesex University London. She is an internationally known researcher and lecturer who writes about labour, technology and global governance.

Martin Upchurch is Professor of International Employment Relations at Middlesex University London. He has published more than 40 articles in the field of labour studies and industrial relations.

Xanthe Whittaker is a post-graduate student in the School of Management at the University of Leicester. Her doctoral research is an ethnographic study of digital journalism in the UK and her research interests include the digitalisation of work, atypical work, and labour process analysis.


Klappentext

In the era of the so-called Fourth Industrial Revolution, we increasingly work with machines in both cognitive and manual workplaces. This 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; domestic workers' timekeeping and movements are documented; call centre workers in India experience invasive tracking but creative forms of worker subversion are evident; warehouse workers discover that hidden data has been used for layoffs; academic researchers see their labour obscured by a 'data foam' that does not benefit them; and journalists suffer the algorithmic curse. These cases are couched in historical accounts of identity and selfhood experiments seen in the Hawthorne experiments and the lineage of automation.

This collection will appeal to scholars in the Sociology of Work and Digital Labour Studies and anyone interested in lea rning about monitoring and surveillance, automation, the gig economy and the quantified self in the workplace.

Inhalt

  1. Introduction.- 2. Digitalisation of work and resistance.- 3. Deep automation and the world of work.- 4. There is only one thing in life worse than being watched, and that is not being watched.- 5. The electronic monitoring of care work the redefinition of paid working time.- 6. Social recruiting: control and surveillance in a digitised job market.- 7. Close watch of a distant manager.- 8. Hawthorne's renewal: Quantified total self.- 9. 'Putting it together, that's what counts'.- 10. Technologies of control, communication, and calculation.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783319863542
    • Editor Phoebe V. Moore, Xanthe Whittaker, Martin Upchurch
    • Sprache Englisch
    • Auflage Softcover reprint of the original 1st edition 2018
    • Größe H210mm x B148mm x T16mm
    • Jahr 2018
    • EAN 9783319863542
    • Format Kartonierter Einband
    • ISBN 3319863541
    • Veröffentlichung 14.08.2018
    • Titel Humans and Machines at Work
    • Untertitel Monitoring, Surveillance and Automation in Contemporary Capitalism
    • Gewicht 361g
    • Herausgeber Springer International Publishing
    • Anzahl Seiten 276
    • Lesemotiv Verstehen
    • Genre Sozialwissenschaften, Recht & Wirtschaft

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