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The state of development of artificial intelligence in polish industry: opinions of employees

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  • Kądzielawski Grzegorz

    (WSB University, Dabrowa Gornicza, Poland)

Abstract

PurposeThe purpose of the article is to show how employees of industrial organizations perceive the development of artificial intelligence (AI) within them and to gather their opinions on what AI solutions are most commonly used in Polish industry. The literature review pointed to the lack of knowledge on how employees of Polish industrial companies perceive the development of AI in their respective companies and what AI solutions they already use. Design/methodology/approachLiterature review and surveys were used to collect the data. The study was carried out using a survey questionnaire. The sample was taken with a specific aim in mind: first, 30 entities were selected for that purpose, while in the second stage the employees (managers and specialists) were chosen from among those. FindingsIn most cases, employees are not afraid of losing their jobs due to the development of AI systems in their industries. They are positive about the use of solutions that include AI elements. In the opinion of the vast majority of respondents, modern technologies, including AI, help them in their work and facilitate it. Most popular current industrial applications are: robotic process automation technologies, Cognex cameras using neural networks, machine-learning and data technologies, distributed control systems (DSCs), enterprise resource planning (ERP)) systems, and security information and event management (SIEM) systems. Practical implication-Results of this research can be useful for developing programs aimed at reducing the fear and anxiety associated with the ongoing Industrial Revolution. Originality/valueThe presented research results are the only ones that show the opinions of employees regarding artificial intelligence in Polish organizations.

Suggested Citation

  • Kądzielawski Grzegorz, 2023. "The state of development of artificial intelligence in polish industry: opinions of employees," International Journal of Contemporary Management, Sciendo, vol. 59(1), pages 12-25, March.
    • Handle: RePEc:vrs:ijcoma:v:59:y:2023:i:1:p:12-25:n:2
    DOI: 10.2478/ijcm-2022-0015
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    References listed on IDEAS

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    1. Justyna Łapińska & Iwona Escher & Joanna Górka & Agata Sudolska & Paweł Brzustewicz, 2021. "Employees’ Trust in Artificial Intelligence in Companies: The Case of Energy and Chemical Industries in Poland," Energies, MDPI, vol. 14(7), pages 1-20, April.
    2. Morgan R. Frank & David Autor & James E. Bessen & Erik Brynjolfsson & Manuel Cebrian & David J. Deming & Maryann Feldman & Matthew Groh & José Lobo & Esteban Moro & Dashun Wang & Hyejin Youn & Iyad Ra, 2019. "Toward understanding the impact of artificial intelligence on labor," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(14), pages 6531-6539, April.
    3. Terry Anthony Byrd, 1993. "Expert Systems in Production and Operations Management: Results of a Survey," Interfaces, INFORMS, vol. 23(2), pages 118-129, April.
    4. Herbert A. Simon, 1978. "On How to Decide What to Do," Bell Journal of Economics, The RAND Corporation, vol. 9(2), pages 494-507, Autumn.
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