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Humans and machines at workmonitorin...

Moore, Phoebe V.

Humans and machines at workmonitoring, surveillance and automation in contemporary capitalism /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Humans and machines at workedited by Phoebe V. Moore, Martin Upchurch, Xanthe Whittaker.
Reminder of title:	monitoring, surveillance and automation in contemporary capitalism /
other author:	Moore, Phoebe V.
Published:	Cham :Springer International Publishing :2018.
Description:	xvi, 260 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	EmployeesEffect of technological innovations on.
Online resource:	http://dx.doi.org/10.1007/978-3-319-58232-0
ISBN:	9783319582320$q(electronic bk.)

Humans and machines at workmonitoring, surveillance and automation in contemporary capitalism /
Humans and machines at workmonitoring, surveillance and automation in contemporary capitalism /[electronic resource] :edited by Phoebe V. Moore, Martin Upchurch, Xanthe Whittaker. - Cham :Springer International Publishing :2018. - xvi, 260 p. :ill., digital ;24 cm. - Dynamics of virtual work. - Dynamics of virtual work..

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.

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 learning about monitoring and surveillance, automation, the gig economy and the quantified self in the workplace.

ISBN: 9783319582320$q(electronic bk.)

Standard No.: 10.1007/978-3-319-58232-0doiSubjects--Topical Terms:

236131
Employees
--Effect of technological innovations on.

LC Class. No.: HD6331 / .H88 2018

Dewey Class. No.: 331.25

Humans and machines at workmonitoring, surveillance and automation in contemporary capitalism /
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520 $a 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 learning about monitoring and surveillance, automation, the gig economy and the quantified self in the workplace.
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