VSTE
Littera Scripta

ISSN (online): 1805-9112

Research ArticleOpen access

Chasing up the value-added by implementing newest trends of Industry 4.0 – Evidence from Slovak automotive industry

Marek Nagy1, Stanislav Zábojník2, Katarina Valaskova1

  1. University of Žilina, Faculty of Operation and Economics of Transport and Communications
  2. University of Economics in Bratislava, Faculty of Commerce

Abstract

The main purpose of the paper is the identification of Industry 4.0 (I4) in a selected sector of the Slovak economy with emphasis on a single case study in the company PSA, which is a key player in the market in the analysed automotive sector.. In the paper, three research questions are determined together with the methods through which the analysis is carried out, mainly the method of exploration, explanation and description using the secondary data, financial and annual reports published by the PSA and Slovak authorities. The crucial finding of the paper is the presentation of opportunities for value-added growth and a specific case study of PSA Group Slovakia and its application of the Industry 4.0 concept as a driving force for value- added growth in car exports. Based on the research outputs, the proposals and recommendations are proposed as a series of steps and recommendations for the Slovak Republic with the intention of becoming an innovative country.

Keywords:Industry 4.0globalizationvalue-addedglobal value chaindigitizationinnovationexportautomotive industry

References

  1. BALAZ, et al., (2020). International Business. Bratislava: Sprint. ISBN 97–88089–710–515.
  2. BELHADI, A., KAMBLE, S., JABBOUR, C. J. C., GUNASEKARAN, A., NDUBISI, N. O. and VENKATESH, M., (2021). Manufacturing and service supply chain resilience to the COVID–19 outbreak: Lessons learned from the automobile and airline industries. Technological Forecasting and Social Change, 163(5), 120447. https://doi.org/10.1016/j.techfore.2020.120447
  3. BURKE, S. and ZVARIKOVA, K., (2021). Urban Internet of Things Systems and Data Monitoring Algorithms in Smart and Environmentally Sustainable Cities. Geopolitics, History, and International Relations, 13(2), 135–148. https://doi.org/10.22381/GHIR132202110
  4. CLAYTON, E. and KRAL,, (2021). Autonomous Driving Algorithms and Behaviors, Sensing and Computing Technologies, and Connected Vehicle Data in Smart Transportation Networks. Contemporary Readings in Law and Social Justice, 13(2), 9–22. https://doi.org/10.22381/CRLSJ13220211
  5. DALENOGARE, L., BENITEZ, N., AYALA, N. F. and FRANK, A. G., (2018). The expected contribution of Industry 4.0 technologies for industrial performance. International Journal of Production Economics, 204(6), 383–394. https://doi.org/10.1016/j.ijpe.2018.08.019
  6. DURANA,, PERKINS, N. and VALASKOVA, K., (2021). Artificial Intelligence Data-driven Internet of Things Systems, Real-Time Advanced Analytics, and Cyber-Physical Production Networks in Sustainable Smart Manufacturing. Economics, Management, and Financial Markets, 16(1), 20–30. https://doi.org/10.22381/emfm16120212
  7. EUROPEAN COMMISION, (2021). European Competitiveness Report 2014–2021. European Commisions, 2021. [accessed: 2020–03–21]. http://ec.europa.eu/enterprise/policies/industrial-competitiveness/competitiveness- analysis/european-competitiveness-report/index_en.htm
  8. GALBRAITH, A. and PODHORSKA, I., (2021). Artificial Intelligence Data-driven Internet of Things Systems, Robotic Wireless Sensor Networks, and Sustainable Organizational Performance in Cyber- Physical Smart Manufacturing. Economics, Management, and Financial Markets, 16(4), 56–69. https://doi.org/10.22381/emfm16420214
  9. HERMANN, M., PENTEK, T. and OTTO, B., (2015). Design Principles for Industry 4.0 Scenarios: A literature review. Technische Universitat Dortmund, 2016. [accessed: 2022–05–02]. http://www.snom.mb.tu-dortmund.de/cms/de/forschung/Arbeitsberichte/Design- Principles-for-Industrie–4_0-Scenarios.pdf.
  10. HINDS, S., VOGEL, R. J. and CLARKE-STEFFEN, L., (1997). The possibilities and pitfalls of doing a secondary analysis of a qualitative data set. Qualitative Health Research, 7(3), 408–424. https://doi.org/10.1177/104973239700700306
  11. HOFFMANN, M. (2019). Smart Agents for the Industry 4.0. Berlin: Springer. ISBN 978–3–658–27742–0.
  12. HOPKINS, E. and SIEKELOVA, A., (2021). Internet of Things Sensing Networks, Smart Manufacturing Big Data, and Digitized Mass Production in Sustainable Industry 4.0. Economics, Management, and Financial Markets, 16(4), 28–41. https://doi.org/10.22381/emfm16420212.
  13. KAGERMANN, C. and WAHLSTER, W., (2013). Industry 4.0: Securing the Future of German Manufacturing Industry: Recommendations for Implementing the Strategic Initiative INDUSTRIE 4.0. Frankfurt: Federal Ministry of Education and Research.
  14. KLINGENBERG, C. O., BORGES, M. A. V. and ANTUNES, J. A. V., (2019). Industry 4.0 as a data-driven paradigm: a systematic literature review on technologies. Journal of Manufacturing Technology Management, 32(3), 570–592. https://doi.org/10.1108/JMTM–09–2018–0325
  15. KODEROVA, G., (2016). Current options for Industry 4.0. Mlada Boleslav: UK. ISBN 56–6577–876–235.
  16. KOVACOVA, M. and LEWIS, E., (2021). Smart Factory Performance, Cognitive Automation, and Industrial Big Data Analytics in Sustainable Manufacturing Internet of Things. Journal of Self-Governance and Management Economics, 9(3), 9–21. https://doi.org/10.22381/jsme9320211
  17. LĂZĂROIU, G. and HARRISON, A., (2021). Internet of Things Sensing Infrastructures and Data-driven Planning Technologies in Smart Sustainable City Governance and Management. Geopolitics, History, and International Relations, 13(2), 23–36. https://doi.org/10.22381/GHIR13220212.
  18. LAWRENCE, J. and DURANA,, (2021). Artificial Intelligence-driven Big Data Analytics, Predictive Maintenance Systems, and Internet of Things-based Real-Time Production Logistics in Sustainable Industry 4.0 Wireless Networks. Journal of Self-Governance and Management Economics, 9(4), 62–75. https://doi.org/10.22381/jsme9420215.
  19. MARCON, (2016). Industry 4.0. Praha: Edna. ISBN 23–4367–897–098.
  20. MARTINEZ-NOYA, A. and GARCIA-CANAL, E. (2014). International evidence on R&D services outsourcing practices by technological firms. Multinational Business Review, Bingley, 22(4), 372–393. https://doi.org/10.1108/MBR–08–2014–0042
  21. MEHMANN, J. and TEUTEBERG, F., (2016). The fourth-party logistics service provider approach to support sustainable development goals in transportation – A case study of the German agricultural bulk logistics sector. Journal of Cleaner Production, 126, 382–393. https://doi.org/10.1016/j.jclepro.2016.03.095
  22. MINARIK, M., ZABOJNIK, S. and PASZTOROVA, J. (2022). Sources of Value-Added in V4 automotive GVCs: The Case of Transport and Storage Services and Firm Level Technology Absorption. Central European Business Review, 11(3), 24. https://doi.org/10.18267/j.cebr.301
  23. PORTER, M. E. (1993). Competitive advantage (how to create and maintain above-average performance). Praha: Victoria Publishing. ISBN 80–85605–12–0.
  24. PSA SLOVAKIA., (2022). About PSA Slovakia. PSA, 2021. [accessed: 2020–03–15]. http://www.psa-slovakia.sk/o-nas.html?page_id=172
  25. ROGERS, S. and ZVARIKOVA, K. (2021). Big Data-driven Algorithmic Governance in Sustainable Smart Manufacturing: Robotic Process and Cognitive Automation Technologies. Analysis and Metaphysics, 20, 130–144. https://doi.org/10.22381/am2020219.
  26. RÜTTIMANN, B. G. and STÖCKLI, M. T., (2016). Lean and Industry 4.0 - Twins, Partners, or Contenders? A Due Clarification Regarding the Supposed Clash of Two Production Systems. Journal of Science Service and Management, 9(6), 485–500. https://doi.org/10.4236/jssm.2016.96051
  27. SAID, M., SHAHEEN, A. M., GINIDI, A. R., EL-SEHIEMY, R. A., MAHMOUD, K., LEHTONEN, M. and DARWISH, M.M.F., (2021). Estimating Parameters of Photovoltaic Models Using Accurate Turbulent Flow of Water Optimizer. Processes, 9(4), 627. https://doi.org/10.3390/pr9040627
  28. STOCK, T.; OBENAUS, M., KUNZ, S. and KOHL, H., (2018). Industry 4.0 as enabler for a sustainable development: A qualitative assessment of its ecological and social potential. Process Safety and Environmental Protection. 118(7), 254–267. https://doi.org/10.1016/j.psep.2018.06.026
  29. ZABOJNIK, S., (2015). Selected problems of international trade and international business. Bratislava: Econom. ISBN 978–80–225–4133–6.
  30. ZAVADSKA, Z. and ZAVADSKY, J. (2020). Industry 4.0 and intelligent technologies in the development of enterprise production management. Banska Bystrica: Matej Bel University. ISBN 978–80–557–1732–6.
  31. ZHONG, R., XU, X., KLOTZ, E. and NEWMAN, S. T., (2021). Intelligent Manufacturing in the Context of Industry 4.0: A Review. Engineering. 3(5), 616–630. https://doi.org/10.1016/J.ENG.2017.05.015