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Automation fears: drivers and solutions

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  • Ivanov, Stanislav Hristov

    (Varna University of Management)

  • Kuyumdzhiev, Mihail
  • Webster, Craig

Abstract

New technologies offer employers the ability to replace tasks done by human labour with those done by machines. There are challenges for both employers and employees, as employers look for strategies for the implementation of automation technologies and employees may have concerns about their employment being threatened by automation technologies. In this research, we analyse data of over 500 Bulgarians to learn about how they perceive the automation of their job. The analysis finds that there are segments of the population defined by demographics and attitudes that are more fearful of the automation of their jobs than others. Additionally, we see that attitudes towards the dehumanizing effects of automation, peer-pressure, technical expertise of the respondent, and a person’s self-perception of professionalism are the main drivers of the fear of automation. Finally, the paper evaluates respondents’ attitudes towards various individual, corporate and social solution to automation fears.

Suggested Citation

  • Ivanov, Stanislav Hristov & Kuyumdzhiev, Mihail & Webster, Craig, 2020. "Automation fears: drivers and solutions," SocArXiv jze3u, Center for Open Science.
    • Handle: RePEc:osf:socarx:jze3u
    DOI: 10.31219/osf.io/jze3u
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    References listed on IDEAS

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    3. Nii-Aponsah, Hubert, 2022. "Automation exposure and implications in advanced and developing countries across gender, age, and skills," MERIT Working Papers 2022-021, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
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    8. Ramos, Minerva E. & Garza-Rodríguez, Jorge & Gibaja-Romero, Damian E., 2022. "Automation of employment in the presence of industry 4.0: The case of Mexico," Technology in Society, Elsevier, vol. 68(C).
    9. Brondi, Sonia & Pivetti, Monica & Di Battista, Silvia & Sarrica, Mauro, 2021. "What do we expect from robots? Social representations, attitudes and evaluations of robots in daily life," Technology in Society, Elsevier, vol. 66(C).
    10. Azio Barani, 2021. "Innovazione tecnologica e lavoro: automazione, occupazione e impatti socio-economici," QUADERNI DI ECONOMIA DEL LAVORO, FrancoAngeli Editore, vol. 0(114), pages 51-79.
    11. Adamczyk, Willian Boschetti & Monasterio, Leonardo & Fochezatto, Adelar, 2021. "Automation in the future of public sector employment: the case of Brazilian Federal Government," Technology in Society, Elsevier, vol. 67(C).
    12. David, Sofia & Zinica, Daniel & Bărbuță-Mișu, Nicoleta & Savga, Larisa & Virlanuta, Florina-Oana, 2024. "Public administration managers' and employees' perceptions of adaptability to change under “the future of work” paradigm," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    13. Beier, Grischa & Matthess, Marcel & Shuttleworth, Luke & Guan, Ting & de Oliveira Pereira Grudzien, David Iubel & Xue, Bing & Pinheiro de Lima, Edson & Chen, Ling, 2022. "Implications of Industry 4.0 on industrial employment: A comparative survey from Brazilian, Chinese, and German practitioners," Technology in Society, Elsevier, vol. 70(C).
    14. Chigbu, Bianca Ifeoma & Nekhwevha, Fhulu H., 2021. "The future of work and uncertain labour alternatives as we live through the industrial age of possible singularity: Evidence from South Africa," Technology in Society, Elsevier, vol. 67(C).
    15. Casas, Pablo & Román, Concepción, 2023. "Early retired or automatized? Evidence from the survey of health, ageing and retirement in Europe," The Journal of the Economics of Ageing, Elsevier, vol. 24(C).
    16. Ziakopoulos, Apostolos & Oikonomou, Maria G. & Vlahogianni, Eleni I. & Yannis, George, 2021. "Quantifying the implementation impacts of a point to point automated urban shuttle service in a large-scale network," Transport Policy, Elsevier, vol. 114(C), pages 233-244.
    17. Ayat Sami ODEIBAT, 2021. "The Effect Of Technology Evolution On The Future Of Jobs," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 17, pages 57-67, June.
    18. Nissim, Gadi & Simon, Tomer, 2021. "The future of labor unions in the age of automation and at the dawn of AI," Technology in Society, Elsevier, vol. 67(C).

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