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Development of a Theoretical Model for Digital Risks Arising from the Implementation of Industry 4.0 (TMR-I4.0)

Author

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  • Vitor Hugo dos Santos Filho

    (EORE Research Group, Federal University of Technology-Paraná (UTFPR), R. Doutor Washington Subtil Chueire 330, Ponta Grossa 84017-220, PR, Brazil)

  • Luis Maurício Martins de Resende

    (EORE Research Group, Federal University of Technology-Paraná (UTFPR), R. Doutor Washington Subtil Chueire 330, Ponta Grossa 84017-220, PR, Brazil)

  • Joseane Pontes

    (EORE Research Group, Federal University of Technology-Paraná (UTFPR), R. Doutor Washington Subtil Chueire 330, Ponta Grossa 84017-220, PR, Brazil)

Abstract

This study aims to develop a theoretical model for digital risks arising from implementing Industry 4.0 (represented by the acronym TMR-I4.0). A systematic literature review was initially conducted using the Methodi Ordinatio methodology to map the principal dimensions and digital risks associated with Industry 4.0 in order to achieve this objective. After completing the nine steps of Methodi, a bibliographic portfolio with 118 articles was obtained. These articles were then subjected to content analysis using QSR Nvivo ® version 10 software to categorize digital risks. The analysis resulted in the identification of 9 dimensions and 43 digital risks. The categorization of these risks allowed the construction of maps showing the digital risks and their impacts resulting from the implementation of Industry 4.0. This study advances the literature by proposing a comprehensive categorization of digital risks associated with Industry 4.0, which resulted from an exhaustive literature review. At the conclusion of the study, based on the proposed Theoretical Risk Model for Digital Risks arising from the implementation of Industry 4.0, a research agenda for future studies will be proposed, enabling other researchers to further explore the landscape of digital risks in Industry 4.0.

Suggested Citation

  • Vitor Hugo dos Santos Filho & Luis Maurício Martins de Resende & Joseane Pontes, 2024. "Development of a Theoretical Model for Digital Risks Arising from the Implementation of Industry 4.0 (TMR-I4.0)," Future Internet, MDPI, vol. 16(6), pages 1-32, June.
    • Handle: RePEc:gam:jftint:v:16:y:2024:i:6:p:215-:d:1416657
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    References listed on IDEAS

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    1. de Sousa Jabbour, Ana Beatriz Lopes & Jabbour, Charbel Jose Chiappetta & Foropon, Cyril & Godinho Filho, Moacir, 2018. "When titans meet – Can industry 4.0 revolutionise the environmentally-sustainable manufacturing wave? The role of critical success factors," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 18-25.
    2. Lyashok, Victor (Ляшок, Виктор) & Maleva, Tatiana (Малева, Татьяна) & Lopatina, Marina (Лопатина, Марина), 2020. "Impact of New Technologies on the Labor Market: Past Lessons and New Challenges [Влияние Новых Технологий На Рынок Труда: Прошлые Уроки И Новые Вызовы]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 4, pages 62-87, August.
    3. Paul Schneider, 2018. "Managerial challenges of Industry 4.0: an empirically backed research agenda for a nascent field," Review of Managerial Science, Springer, vol. 12(3), pages 803-848, July.
    4. Catalin Postelnicu & Sorin Calea, 2019. "The Fourth Industrial Revolution. Global Risks, Local Challenges for Employment," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 15(2), pages 195-206.
    5. Lina Sineviciene & Luc Hens & Oleksandr Kubatko & Leonid Melnyk & Iryna Dehtyarova & Svitlana Fedyna, 2021. "Socio-economic and cultural effects of disruptive industrial technologies for sustainable development," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 43(2/3), pages 284-305.
    6. Virginia Pilloni, 2018. "How Data Will Transform Industrial Processes: Crowdsensing, Crowdsourcing and Big Data as Pillars of Industry 4.0," Future Internet, MDPI, vol. 10(3), pages 1-14, March.
    7. Regina Negri Pagani & João Luiz Kovaleski & Luis Mauricio Resende, 2015. "Methodi Ordinatio: a proposed methodology to select and rank relevant scientific papers encompassing the impact factor, number of citation, and year of publication," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2109-2135, December.
    8. Changrok Soh & Daniel Connolly, 2021. "New Frontiers of Profit and Risk: The Fourth Industrial Revolution’s Impact on Business and Human Rights," New Political Economy, Taylor & Francis Journals, vol. 26(1), pages 168-185, January.
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