Adaptation to Industry 4.0 in the Visegrád Group

• Autorzy: Dominika Nurzyńska
• Języki publikacji: EN

Abstrakty

EN

Motivation: The concept of Industry 4.0 is widely recognised, since technological development is an inseparable factor of the modern organisations functioning. Due to this, the interest in the subject of the 4th industrial revolution has grown in recent years. However, far too little attention has been paid to the measurement of readiness and implementation of key attributes in Czechia, Hungary, Poland and Slovakia. Aim: The major objective of this study was to investigate the adaptation to Industry 4.0 in the Visegrád Group. Consequently, in the theoretical part both a historical context and a description of the main components of Industry 4.0 was introduced, which was the basis for the evaluation of the V4 transition toward Industry 4.0 in the empirical section. Materials and methods: Both quantitative (basic statistical analysis) and qualitative (critical analysis of the subject literature) methods were used in this investigation. The research data was drawn mainly from institutional reports and Eurostat database. Results: The investigation indicated that the transition towards Industry 4.0 in V4 countries is less advanced than in other European regions and need particular attention. Despite the relatively good results achieved in the field of robotisation, especially in the foreign-owned automotive industry, in general the Group lags behind the majority of Western and Baltic countries in terms of already adapted technologies, innovations and digital skills. (original abstract)

Słowa kluczowe

EN

Industry 4.0; Quantitative methods; Statistical analysis; Literature review

PL

Przemysł 4.0; Metody ilościowe; Analiza statystyczna; Przegląd literatury

• Czasopismo: Catallaxy
• Rocznik: 2021
• Numer: vol. 6, iss. 2
• Strony: 35--48

Twórcy

autor

Dominika Nurzyńska

• University of Economics in Katowice, Poland

Bibliografia

• Agarwal, H., & Agarwal, R. (2017). First industrial revolution and second industrial revolution: technological differences and the differences in banking and financing of the firms. Saudi Journal of Humanities and Social Sciences, 2(11), 1062-1066. https://doi.org/10.21276/sjhss.2017.2.11.7.
• Amiti, M. (2001). Regional specialization and technological leapfrogging. Journal of Regional Science, 41(1), 149-172. https://doi.org/10.1111/0022-4146.00211.
• Atik, H., & Ünlü, F. (2019). The measurement of industry 4.0 performance through Industry 4.0 Index: an empirical investigation for Turkey and European Countries. Procedia Computer Science, 158, 852-869. https://doi.org/10.1016/j.procs.2019.09.123.
• Bajic, B., Rikalovic, A., Suzic, N., & Piuri, V. (2021). Industry 4.0 implementation challenges and opportunities: a managerial perspective. IEEE Systems Journal, 15(1), 546-559. https://doi.org/10.1109/jsyst.2020.3023041.
• Beaudoin, S.M. (2000). Current debates in the study of the industrial revolution. OAH Magazine of History, 15(1), 7-13. https://doi.org/10.1093/maghis/15.1.7.
• Benešová, A., & Tupa, J. (2017). Requirements for education and qualification of people in industry 4.0. Procedia Manufacturing, 11, 2195-2202. https://doi.org/10.1016/j.promfg.2017.07.366.
• Brezis, E.S., & Tsiddon, D. (1998). Economic growth, leadership and capital flows: the leapfrogging effect. Journal of International Trade and Economic Development, 7(3), 261-277. https://doi.org/10.1080/09638199800000014.
• Chen, Y. (2017). Integrated and intelligent manufacturing: perspectives and enablers. Engineering, 3(5), 588-595. https://doi.org/10.1016/j.eng.2017.04.009.
• Dukić, B., Dugandžić, S., & Dukić, S. (2017). Conceptual CRM application database model in the function of physical products distribution for known customer. Proceedings of the 17th International Scientific Conference Business Logistics in Modern Management.
• European Commission. (2017). Special eurobarometer 460: attitudes towards the impact of digitisation and automation on daily life. Retrieved 03.07.2021 from https://europa.eu/eurobarometer/surveys/detail/2160.
• European Commission. (2018). Digital transformation scoreboard 2018: EU businesses go digital: opportunities, outcomes and uptake. Retrieved 04.05.2021 from https://op.europa.eu/en/publication-detail/-/publication/683fe365-408b-11e9-8d04-01aa75ed71a1.
• European Commission. (2020a). Digital Economy and Society Index (DESI) 2020: thematic chapter. Retrieved 18.06.2021 from https://digital-strategy.ec.europa.eu/en/policies/desi.
• European Commission. (2020b). European innovation scoreboard 2020. Retrieved 18.06.2021 from https://ec.europa.eu/docsroom/documents/42981.
• European Commission. (2020c). Transition to industry 4.0 in the Visegrád countries. Retrieved 04.05.2021 from https://ec.europa.eu/info/publications/transition-industry-40-visegrad-countries_en.
• Eurostat. (2021a). Big data analysis. Retrieved 18.05.2021 from https://ec.europa.eu/eurostat/data/database.
• Eurostat. (2021b). Cloud computing services. Retrieved 18.05.2021 from https://ec.europa.eu/eurostat/data/database.
• Eurostat. (2021c). Distribution of graduates at education level and programme orientation by sex and field of education. Retrieved 18.05.2021 from https://ec.europa.eu/eurostat/data/database.
• Eurostat. (2021d). E-commerce sales. Retrieved 18.05.2021 from https://ec.europa.eu/eurostat/data/database.
• Eurostat. (2021e). Employed ICT specialists by sex. Retrieved 18.05.2021 from https://ec.europa.eu/eurostat/data/database.
• Eurostat. (2021f). Enterprises using software solutions, like CRM to analyse information about clients for marketing purposes. Retrieved 18.05.2021 from https://ec.europa.eu/eurostat/data/database.
• Eurostat. (2021g). Individuals' level of digital skills. Retrieved 18.05.2021 from https://ec.europa.eu/eurostat/data/database.
• Eurostat. (2021h). Integration of internal processes. Retrieved 18.05.2021 from https://ec.europa.eu/eurostat/data/database.
• Eurostat. (2021i). Social media use by type, internet advertising. Retrieved 18.05.2021 from https://ec.europa.eu/eurostat/data/database.
• Guszcza, J., Lewis, H., & Evans-Greenwood, P. (2017). Cognitive collaboration: why humans and computers think better together. Retrieved 18.05.2021 from https://www2.deloitte.com/us/en/insights/deloitte-review/issue-20/augmented-intelligence-human-computer-collaboration.html.
• Haddara, M., & Elregal, A. (2015). The readiness of ERP systems for the factory of the future. Procedia Computer Science, 64, 721-728. https://doi.org/10.1016/j.procs.2015.08.598.
• IMD World Competitiveness Center. (2020). The IMD world digital competitiveness ranking 2020. Retrieved 18.06.2021 from https://worldcompetitiveness.imd.org/rankings/digital.
• International Federation of Robotics. (2017). World robotics industrial robots and service robots 2017. Retrieved 18.06.2021 from https://ifr.org.
• Kamble, S.S., Gunasekaran, A., & Gawankar, S.A. (2018a). Sustainable industry 4.0 framework: a systematic literature review identifying the current trends and future perspectives. Process Safety and Environmental Protection, 117, 408-425. https://doi.org/10.1016/j.psep.2018.05.009.
• Kamble, S.S., Gunasekaran, A., & Sharma, R. (2018b). Analysis of the driving and dependence power of barriers to adopt industry 4.0 in Indian manufacturing industry. Computers in Industry, 101, 107-119. https://doi.org/10.1016/j.compind.2018.06.004.
• Kapás, J. (2008). Industrial revolutions and the evolution of the firm's organization: an historical perspective. Journal of Innovation Economics & Management, 2(2), 15-33. https://doi.org/10.3917/jie.002.0015.
• Kiel, D., Müller, J.M., Arnold, Ch., & Voigt, K-I. (2017). Sustainable industrial value creation: benefits and challenges of industry 4.0. International Journal of Innovation Management, 21(8). https://doi.org/10.1142/s1363919617400151.
• Lasi, H., Fettke, P., Kemper, H.G., Feld, T., & Hoffmann, M. (2014). Industry 4.0. Business & Information Systems Engineering, 6(4), 239-242. https://doi.org/10.1007/s12599-014-0334-4.
• Lazanyi, K., & Lambovska, M. (2020). Readiness for industry 4.0 related changes: a case study of the Visegrad four. Ekonomicko-manazerske Spektrum, 14(2), 100-113. https://doi.org/10.26552/ems.2020.2.100-113.
• Lu, Y. (2017). Industry 4.0: a survey on technologies, applications and open research issues. Journal of Industrial Information Integration, 6, 1-10. https://doi.org/10.1016/j.jii.2017.04.005.
• Maisiri, W., Darwish, H., & van Dyk, L. (2019). An investigation of industry 4.0 skills requirements. South African Journal of Industrial Engineering, 30(3), 90-105. https://doi.org/10.7166/30-3-2230.
• Mavrikios, D., Georgoulias, K., & Chryssolouris, G. (2018). The teaching factory paradigm: developments and outlook. Procedia Manufacturing, 23, 1-6. https://doi.org/10.1016/j.promfg.2018.04.029.
• McKinsey & Company. (2018). Transforming our jobs: automation in Hungary. Retrieved 18.06.2021 from https://www.mckinsey.com/featured-insights/europe/transforming-our-jobs-automation-in-hungary.
• Moktadir, A., Ali, S.M., Kusi-Sarpong, S., & Shaikh, A.A. (2018). Assessing challenges for implementing industry 4.0: implications for process safety and environmental protection. Process Safety and Environmental Protection, 117, 730-741. https://doi.org/10.1016/j.psep.2018.04.020.
• Nasution, M.K.M. (2020). Industry 4.0. IOP Conference Series: Materials Science and Engineering, 1003, 012145, 1-10. https://doi.org/10.1088/1757-899X/1003/1/012145.
• Nhamo, G., Nhemachena, C., & Nhamo, S. (2020). Using ICT indicators to measure readiness of countries to implement industry 4.0 and the SDGs. Environmental Economics and Policy Studies, 22(2), 315-337. https://doi.org/10.1007/s10018-019-00259-1.
• Olanders, D., & Rosenvinge, M. (2018). Industry 4.0: how can industry 4.0 create value in manufacturing companies [Bachelor?s thesis, KTH Royal Institute of Technology]. Retrieved 21.04.2021 from http://urn.kb.se/resolve-urn=urn:nbn:se:kth:diva-233809.
• Pehrsson, A. (2020). Industry 4.0: impact on manufacturing strategies and performance [Bachelor's thesis, Linnaeus University]. Retrieved 21.04.2021 from http://urn.kb.se/resolve-urn=urn:nbn:se:lnu:diva-97129.
• Pereira, A.C., & Romero, F. (2017). A review of the meanings and the implications of the industry 4.0 concept. Procedia Manufacturing, 13, 1206-1214. https://doi.org/10.1016/j.promfg.2017.09.032.
• Polish Economic Institute. (2019). The automotive industry in the Visegrad Group countries. Retrieved 18.06.2021 form https://pie.net.pl/en/polska-i-kraje-cee-napedzaja-europejska-motoryzacje.
• Prifti, L., Knigge, M., Kienegger, H. & Krcmar, H. (2017). A competency Model for "Industrie 4.0" Employees. Proceedings of the 13th International Conference on Wirtschaftsinformatik.
• PricewaterhouseCoopers. (2019). How will AI impact the Hungarian labour market. Retrieved 18.06.2021 from https://www.pwc.com/hu/en/publications/assets/How-will-AI-impact-the-Hungarian-labour-market.pdf.
• Rao, S.K., & Prasad, R. (2018). Impact of 5G technologies on industry 4.0. Wireless Personal Communications, 100(1), 145-159. https://doi.org/10.1007/s11277-018-5615-7.
• Schallock, B., Rybski, C., Jochem, R. & Kohl, H. (2018). Learning factory for industry 4.0 to provide future skills beyond technical training. Procedia Manufacturing, 23, 27-32. https://doi.org/10.1016/j.promfg.2018.03.156.
• Siekelova, A., & Podhorska, I. (2019). Earnings indicators under the condition of globalization. In T. Kliestik (Ed.), Proceedings of the 19th international scientific conference globalization and its socio-economic consequences: sustainability in the global-knowledge economy, 74, 1-7. https://doi.org/10.1051/shsconf/20207401031.
• Ślusarczyk, B. (2018). Industry 4.0: are we ready. Polish Journal of Management Studies, 17(1), 23-248. https://doi.org/10.17512/pjms.2018.17.1.19.
• The Global Economy. (2021). Share of manufacturing in the European Union. Retrieved 18.06.2021 from https://www.theglobaleconomy.com.
• Wilson, J.H., & Daugherty, P.R. (2018). Collaborative intelligence: humans and AI are joining forces. Harvard Business Review, July-August, 114-123.

Identyfikatory

DOI

10.24136/cxy.2021.003