How Do Workers Adjust When Firms Adopt New Technologies?

Genz, Sabrina; Gregory, Terry; Janser, Markus; Lehmer, Florian; Matthes, Britta

doi:10.2139/ssrn.3900888

Cited by 15 publications

(15 citation statements)

References 17 publications

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“…This seems to broadly corroborate the findings by Genz et al. (2021) that automation in countries, such as Germany, Sweden and Belgium, does not tend to harm incumbent workers. One key mechanism that flows out of the cooperative interpretation is provided by Montobbio et al.…”

Section: Resultssupporting

confidence: 90%

“…At the same time, there exist similarly antagonistic accounts of industrial relations predicting an opposite effect: strong institutionalized labour power pushes employers to automate (Braverman, 1974; Marglin, 1974; Presidente, 2020) in an attempt to disorganize labour. Finally, a wide scholarship in comparative political economy and industrial relations has highlighted the potential of institutions to generate complementary interests between capital and labour, ultimately producing higher levels of, more inclusive, innovation (Dankbaar, 1988; Katzenstein, 1985; Olson, 1982; Kochan & Tamir, 1989; Hall & Soskice, 2001; Kraft et al., 2009; Genz et al., 2021; Belloc et al., 2020).…”

Section: Introductionmentioning

confidence: 99%

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Conflict or cooperation? Exploring the relationship between cooperative institutions and robotisation

Overbeke

2022

Brit J Industrial Rel

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Robotization of production challenges the status‐quo in the economy, some win, while others lose out. Literature has argued that automation causes redistribution, both between capital and labour as within either category. We also know that many economies have chosen to adopt cooperative institutions to negotiate the negative by‐products of such economic changes. What is, however, less clear is how such institutions influence rates of automation themselves. This article contributes to this debate by conducting a panel analysis of sectoral robotization rates and cooperative institutions in 25 OECD countries between 1993 and 2017 using an original institutional indicator. The findings suggest that aside from simply redistributing the costs and benefits of automation throughout the productive sector, cooperative institutions also meaningfully predict higher levels of robot density, showing that more institutionalized economies do not lag behind in terms of automation. What is more, these institutions also seem to co‐determine the rates of robotization occurring during recessions.

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Section: Resultssupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Conflict or cooperation? Exploring the relationship between cooperative institutions and robotisation

Overbeke

2022

Brit J Industrial Rel

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“…Recently, the rapid evolution of new technologies, particularly artificial intelligence (AI) and other technologies has sparked questions about whether these emerging frontier technologies might substitute increasingly non-routine tasks (Brynjolfsson et al, 2018;Webb, 2020). Very few studies are able to document the firm-level adoption and diffusion of the latest frontier technologies such as AI (McElheran et al, 2022;Zolas et al, 2020;Genz et al, 2021). Moreover, the implications of technology adoption for the aggregate occupational composition remain unclear as existing studies on the effects of technology adoption tend to focus on structural shifts within firms (Gaggl and Wright, 2017;Aghion et al, 2020).…”

Section: Introductionmentioning

confidence: 99%