A Configuration Approach to Reduce the Risk of COVID-19 Employees Infection in the Manufacturing Firms: The Role of Machine Automatization

• Published in: International Journal of Technology Vol. 13; no. 4; pp. 785 - 792
• Main Authors: Heredia, Jorge, Geldes, Cristian, Flores, Alejandro, Heredia, Walter, Gamarra, Felix M Carbajal, Miranda, Luisa
• Format: Journal Article
• Language: English
• Published: Universitas Indonesia 07.10.2022
• Subjects: covid-19; digitalization; fsqca; industry 4.0; machine automatization
• ISSN: 2086-9614; 2087-2100
• DOI: 10.14716/ijtech.v13i4.5287

Does 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 fuzzy-set 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.