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A configuration approach to reduce the risk of COVID-19 employees infection in the manufacturing firms: the role of machine automatization

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dc.contributor.authorHeredia Pérez, Jorge
dc.contributor.authorGeldes, Cristian
dc.contributor.authorFlores, Alejandro
dc.contributor.authorHeredia, Walter
dc.contributor.authorCarbajal Gamarra, Felix M.
dc.contributor.authorMiranda Obando, Luisa
dc.date.accessioned2023-12-04T12:29:14Z
dc.date.available2023-12-04T12:29:14Z
dc.date.issued2022
dc.descriptionArtículo
dc.description.abstractDoes automation adoption mitigate the COVID-19 infection rate of employees? What resources and internal and external factors need to be configured with automation to mitigate COVID-19 contagion from employees successfully? According to the type of automation. What resources efficiently complement to mitigate the contagion rate from employers? From a fuzzyset qualitative comparative analysis (fsQCA) approach, we analyzed 759 manufacturing firms in Finland, drawn from the World Bank 2020 Enterprise Survey; this study addresses the multiple configurations that drive pandemic risk mitigation and management. We find that configurations under automation reduce the risk of employee infection. Our results show the critical role of automation in employee safety. We argue that access to government support and the development of technological innovation are necessary conditions for implementing measures to prevent and mitigate the risk of contagion in the employee. In addition, the first configuration states that manufacturing firms employing soft automation can successfully mitigate employee exposure. The second configuration states that high human resource flexibility successfully complements firms with complex automation to achieve high mitigation. Finally, the third configuration shows those manufacturing firms that employ low-tech automation (manual processes); in this manner, digitization enables successfully mitigating pandemic contagion. Moreover, it suggests recommendations for policymakers and managers.
dc.description.versionVersión publicada
dc.format.extent8 p.
dc.identifier.citationInternational Journal of Technology 13(4) 785-792 (2022)
dc.identifier.doihttps://doi.org/10.14716/ijtech.v13i4.5287
dc.identifier.urihttps://repositorio.udd.cl/handle/11447/8086
dc.language.isoen
dc.subjectCovid-19
dc.subjectDigitalization
dc.subjectfsQCA
dc.subjectIndustry 4.0
dc.subjectMachine Automatization
dc.titleA configuration approach to reduce the risk of COVID-19 employees infection in the manufacturing firms: the role of machine automatization
dc.typeArticle
dcterms.accessRightsAcceso abierto
dcterms.sourceInternational Journal of Technology
dspace.entity.typePublication

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