INDUSTRY 4.0: IMPLEMENTATION OF DIGITAL TECHNOLOGIES TO IMPROVE PRODUCTION AND ECONOMIC EFFICIENCY
DOI:
https://doi.org/10.17770/etr2025vol4.8460Keywords:
Automation, Digital transformation, Innovation management, Industry 4.0, Production processes, Productivity, Resource savingsAbstract
The paper investigates the relationship between Industry 4.0 technologies and the competitiveness of manufacturing enterprises. Industry 4.0, which integrates digital technologies such as artificial intelligence, big data, robotics, and the Internet of Things, is transforming production processes and business models, fostering innovation, and enhancing global competitiveness. The study aims to explore how these technologies influence manufacturing efficiency, flexibility, and product quality, and to identify the main motivations and barriers faced by companies in adopting Industry 4.0 technologies. The research employs several methodologies: systematic literature review - to summarize existing research on Industry 4.0 and its impact on competitiveness, identifying key innovations and trends in manufacturing; bibliometric analysis - analysing scientific publications to map the research landscape, identify influential works, and discern key technological trends in Industry 4.0; survey method - a survey of 100 Ukrainian manufacturing enterprises was conducted to assess the main motivations and barriers for adopting Industry 4.0 technologies. The results show that Industry 4.0 allows companies to significantly improve productivity, reduce costs and adapt to changing market conditions. However, the introduction of new technologies is accompanied by a number of risks, including economic, technical problems, including high initial investments, cyber security, and the need for new skills of employees. The challenges associated with the introduction of these technologies, including financial, technical and organisational costs, as well as problems associated with resistance to change, are considered. The reasons for this resistance are analysed, including personal interests of employees, distrust and uncertainty. Effective methods of managing resistance to change, such as communication, training and active participation of employees in the change process, are proposed. The importance of clear communication, support and skills development for successful technology adoption is emphasised..References
I. Bohashko and O. Bohashko, “Development of organisational competencies during transition and adaptation to industry 4.0”, Environment. Technology. Resources: Proceedings of the 15 th International Scientific and Practical Conference’ 06, 2024, vol. III, pp. 34-38, June 2024. [Online]. Available: https://doi.org/10.17770/etr2024vol3.8134 [Accessed: Feb. 13, 2025].
T. Čater, B. Čater, M. Černe, M. Koman and T. Redek, “Industry 4.0 technologies usage: motives and enablers”, Journal of Manufacturing Technology Management, vol. 32, no. 9, pp. 323-345, December 2021. [Online]. Available: https://doi.org/10.1108/JMTM-01-2021-0026 [Accessed: Feb. 13, 2025].
M. Obal, “What drives post-adoption usage? Investigating the negative and positiveantecedents of disruptive technology continuous adoption intentions”, Industrial Marketing Management, vol. 63, pp. 42-52, May 2017. [Online]. Available: https://doi.org/10.1016/j.indmarman.2017.01.003 [Accessed: Feb. 13, 2025].
S-V. Buer, J. O. Strandhagen and F. T. S. Chan, “The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda”, International Journal of Production Research, vol. 56, pp. 1-17, March 2018. [Online]. Available: https://doi.org/10.1080/00207543.2018.1442945 [Accessed: Feb. 13, 2025].
T. Zheng, M. Ardolino, A. Bacchetti, M. Perona and M. Zanardini, “The impacts of Industry 4.0: a descriptive survey in the Italian manufacturing sector”, Journal of Manufacturing Technology Management, vol. 31, no. 5, pp. 1085-1115, October 2019. [Online]. Available: https://doi.org/10.1108/JMTM-08-2018-0269 [Accessed: Feb. 13, 2025].
G. Buchi, M. Cugno and R. Castagnoli, “Smart factory performance and Industry 4.0”, Technological Forecasting and Social Change, vol. 150, 119790, January 2020. [Online]. Available: https://doi.org/10.1016/j.techfore.2019.119790 [Accessed: Feb. 13, 2025].
M. Hermann, T. Pentek and B. Otto, “Design principles for Industry 4.0 scenarios”, Proceedings of the Annual Hawaii International Conference on System Sciences’ 03, 2016, pp. 3928-3937, March 2016. [Online]. Available: https://doi.org/10.1109/HICSS.2016.488 [Accessed: Feb. 13, 2025].
J. W Veile, M.-C. Schmidt, J. M. Muller and K.-I. Voigt, “Relationship follows technology! How Industry 4.0 reshapes future buyer-supplier relationships”, Journal of Manufacturing Technology Management, vol. 32, no. 6, pp. 1245-1266, August 2020. [Online]. Available: https://doi.org/10.1108/JMTM-09-2019-0318 [Accessed: Feb. 13, 2025].
A. Ito, T. Ylipää, P. Gullander, J. Bokrantz, V. Centerholt and A. Skoogh, “Dealing with resistance to the use of Industry 4.0 technologies in production disturbance management”, Journal of Manufacturing Technology Management. vol. 32, no. 9, pp. 285-303, June 2021. [Online]. Available: https://doi.org/10.1108/JMTM-12-2020-0475 [Accessed: Feb. 13, 2025].
R. C. Santos and J. L. Martinho, “An Industry 4.0 maturity model proposal”, Journal of Manufacturing Technology Management, vol. 31, no. 5, pp. 1023-1043, November 2020. [Online]. Available: https://doi.org/10.1108/JMTM-09-2018-0284 [Accessed: Feb. 13, 2025].
J. Kotter and L. Schlesinger, “Choosing Strategies for Change”. Harvard business review. vol. 57, no. 2, 106-14, July 2008. [Online]. Available: https://doi.org/10.1007/978-1-349-20317-8_21 [Accessed: Feb. 13, 2025].
H. S Birkel, J. W Veile, J. M Muller, E. Hartmann and K. I. Voigt, “Development of a riskframework for Industry 4.0 in the context of sustainability for established manufacturers”, Sustainability, vol. 11, no. 2, pp. 1-27, January 2019. [Online]. Available: https://doi.org/10.3390/su11020384 [Accessed: Feb. 13, 2025].
M. Pejic-Bach, T. Bertoncel, M. Meško and Ž. Krstić, “Text mining of Industry 4.0 jobadvertisements”, International Journal of Information Management, vol. 50, pp. 416-431, February 2020. [Online]. Available: https://doi.org/10.1016/j.ijinfomgt.2019.07.014 [Accessed: Feb. 13, 2025].
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