2019
DOI: 10.1515/arbeit-2019-0002
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Wearable Computing im Betrieb gestalten

Abstract: Zusammenfassung Wearables (beispielsweise Datenbrillen und Smartwatches) sind ein besonders sichtbares Element von Industrie-4.0-Anwendungen. Sie sollen situationsgerechte Informationen zur Verfügung stellen, können aber zugleich auch Daten über den Arbeitsprozess – und teils sogar über Bewegungsmuster und Vitalfunktionen der Beschäftigten – generieren. Die Wearable-Technologie ist in einem frühen Entwicklungsstadium, in dem die Interessen und Sichtweisen der relevanten Akteure, vor allem der Technikentwickler… Show more

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Cited by 10 publications
(6 citation statements)
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“…Recent advances regarding the properties and functionalities of HWDs may serve to understand the situated use of HWDs in practice (Evers et al, 2018). However, they are presented statically: either as a fixed given, or as a potential to be realized (Orlikowski and Scott, 2008).…”
Section: Properties and Functionalitiesmentioning
confidence: 99%
“…Recent advances regarding the properties and functionalities of HWDs may serve to understand the situated use of HWDs in practice (Evers et al, 2018). However, they are presented statically: either as a fixed given, or as a potential to be realized (Orlikowski and Scott, 2008).…”
Section: Properties and Functionalitiesmentioning
confidence: 99%
“…In all four focus cases, management instead chose to implement digital assistance systems, which allowed for a lowering of qualification requirements with the aim of integrating cheaper labor. 11 "We are really shifting work to less qualified and therefore cheaper workers, sure," a manager of Smart Electrics stated. Migrants were a major source of such cheap labor.…”
Section: The Arena Of Implementationmentioning
confidence: 99%
“…Internationally, the overwhelming majority of studies research algorithmic management in the context of the so-called platform or gig economy [1][2][3][4][5][6][7]. In the German context, which will be central to this article, this focus is supplemented by studies that research algorithmic management in the context of manufacturing [8][9][10][11][12]. There is a consensus among those studies that at the level of the labor process, algorithmic management enables extensive surveillance and, in terms of employment relations, contributes to precar-the different forms in which workers influence the use of technology at work.…”
Section: Introductionmentioning
confidence: 99%
“…Despite the fact that this is one of the most important industrial sectors in all the three countries considered, and by far the most important buyer of manufacturing technologies worldwide, the sector's experiences in these projects show that the technological change is much slower than expected and the prospects for a wider diffusion of industry 4.0 manufacturing technologies in automotive plants remain unclear. In the case of Germany, where the automotive sector is much more involved than in the US and China, most of the experiments under development concern the soft side of the smart factory through the introduction of digital assistance systems such as data glasses, "smart" gloves or "smart" maintenance technologies (Nyhuis et al 2017;Evers et al 2019). By contrast, a new wave of automation does not seem to be on the agenda as the actual number of assembly robots in use is actually declining in Germany and the pilot projects of "collaborative robots" only concern some ad-hoc improvements of ergonomically unfavourable tasks and do not represent a threat to employment (Krzywdzinski et al 2016).…”
Section: Industrial Revolution Concepts As Political Projectsmentioning
confidence: 99%