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Coevolution of Job Automation Risk and Workplace Governance

Filippo Belloc, Gabriel Burdín (), Luca Cattani, William Ellis () and Fabio Landini ()

Department of Economics University of Siena from Department of Economics, University of Siena

Abstract: In current debates about job automation, technology adoption is framed as a politics-neutral decision driven by the search for technical efficiency. Discussions about the nature of job design (i.e. the content and distribution of tasks within firms) and its associated automation risk are usually devoid of institutional context. However, job design may be affected by the way firms are governed. A critical feature of workplace governance is the extent to which decision making is shared by capital owners and workers via institutionalized forms of employee representation (ER). In this paper, we propose an evolutionary model to study the complementary fit and endogenous dynamics of job design and workplace governance. We show that two technological-political conventions are likely to emerge: in one of them workplace governance is based on ER and job designs have low automation risk; in the other, ER is absent and workers are involved in automation-prone production tasks. We explore the validity of the theory by using data from a large sample of European workers including detailed information on occupations, task environment, working conditions as well as presence of ER. Results are consistent with the theory: automation risk is negatively associated with the presence of ER. Our analysis can be useful to rationalize the historical experience of Nordic countries, where simultaneous experimentation with codetermination rights and job enrichment programs (supplemented by nationwide institutional reforms) seem to have had enduring consequences in the way these countries confront technological challenges. Policy debates about automation should avoid technological determinism and devote more attention to socio-institutional factors shaping the future of work.

Keywords: Automation; Job Design; Employee Representation; Evolutionary Game. (search for similar items in EconPapers)
JEL-codes: J24 J51 O33 (search for similar items in EconPapers)
Date: 2020-09
New Economics Papers: this item is included in nep-lab
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Journal Article: Coevolution of job automation risk and workplace governance (2022) Downloads
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