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Robots and risk of COVID-19 workplace contagion: Evidence from Italy

Author

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  • Caselli, Mauro
  • Fracasso, Andrea
  • Traverso, Silvio

Abstract

This work investigates the cross-industry relationship between robot adoption and the risk of contracting COVID-19 in the workplace in Italy. Using a novel dataset on the risk of workplace contagion, we show that industries employing more robots tend to exhibit lower risks, thereby providing some empirical support for the widely held, but so far untested, hypothesis that robots can help mitigate the risk of contagion among workers by reducing the need for physical interactions. While we acknowledge the relevance of robots in the fight against COVID-19 and their possible role in enhancing the resilience of economic systems against future pandemics, we also thoroughly discuss a series of potential trade-offs between workplace safety and employment conditions that could arise (especially in the short run) due to a substantial increase in the rate of robot adoption.

Suggested Citation

  • Caselli, Mauro & Fracasso, Andrea & Traverso, Silvio, 2021. "Robots and risk of COVID-19 workplace contagion: Evidence from Italy," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    • Handle: RePEc:eee:tefoso:v:173:y:2021:i:c:s0040162521005308
    DOI: 10.1016/j.techfore.2021.121097
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    3. Yogesh K. Dwivedi & A. Sharma & Nripendra P. Rana & M. Giannakis & P. Goel & Vincent Dutot, 2023. "Evolution of Artificial Intelligence Research in Technological Forecasting and Social Change: Research Topics, Trends, and Future Directions," Post-Print hal-04292607, HAL.
    4. Francesco Flaviano Russo, 2023. "Epidemics and policy: the dismal trade-offs," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 40(2), pages 561-588, July.
    5. Zhou, Zhongsheng & Li, Zhuo & Du, Shanzhong & Cao, June, 2024. "Robot adoption and enterprise R&D manipulation: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    6. Silvio Traverso & Massimiliano Vatiero & Enrico Zaninotto, 2023. "Robots and labor regulation: a cross-country/cross-industry analysis," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 32(7), pages 977-999, October.
    7. Dang, Ngoc Bich & Bertrandias, Laurent, 2023. "Social robots as healing aids: How and why powerlessness influences the intention to adopt social robots," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    8. Hui Jiang & Lin Cheng, 2021. "Public Perception and Reception of Robotic Applications in Public Health Emergencies Based on a Questionnaire Survey Conducted during COVID-19," IJERPH, MDPI, vol. 18(20), pages 1-20, October.
    9. Xu, Shaofeng & Liu, Tao & Liu, Fengliang, 2024. "On the role of automation in an epidemic," Journal of Economic Dynamics and Control, Elsevier, vol. 160(C).
    10. Ding, Bin & Li, Yameng & Miah, Shah & Liu, Wei, 2024. "Customer acceptance of frontline social robots—Human-robot interaction as boundary condition," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    11. Frank, Darius-Aurel & Otterbring, Tobias, 2023. "Being seen… by human or machine? Acknowledgment effects on customer responses differ between human and robotic service workers," Technological Forecasting and Social Change, Elsevier, vol. 189(C).

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    More about this item

    Keywords

    Robotisation; COVID-19; SARS-CoV-2; Risk of contagion;
    All these keywords.

    JEL classification:

    • I19 - Health, Education, and Welfare - - Health - - - Other
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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