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Industry 4.0 from the point of view of human resources management

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: The article discusses the role of the employee in the era of robotization and automation of industry. It outlines potential threats and opportunities for HR management in the age of the fourth industrial revolution. Design/methodology/approach: The author used a desk research method. She gathered documents (statistic data, mainly reports), made the initial selection, established the authenticity of the data, carried out the study of scientific literature and, eventually, did the comparative analysis. Findings: Industry 4.0 is associated with changes in human resource management. Employees will need to acquire new skills and knowledge to be able to keep a job. Automation and digitalization of business/industry will be an opportunity for self-development and success for people with expertise in IT technology, robotics and computer engineering. Business in the era of Industry 4.0 will need to cope with the ageing population, the lack of proper education and training conditions, and lack of access to new technologies. Practical implications: The paper analyses the biggest challenge in the aspect of employees adaptation and focuses on problems that exist but must change so that businesses can adapt to the new reality of Industry 4.0. Originality/value: The paper complements previous research in the field of human resource management in the conditions of the fourth industrial revolution, digitization, digitalization and automation of business.
Rocznik
Tom
Strony
695--703
Opis fizyczny
Bibliogr. 24 poz.
Twórcy
  • Czestochowa University of Technology, Częstochowa, Poland
Bibliografia
  • 1. Almada-Lobo, F. (2016). The Industry 4.0 revolution and the future of manufacturing execution systems (MES). Journal of Innovation Management, 3(4), 16-21. doi: https://doi.org/10.24840/2183-0606_003.004_0003.
  • 2. Bonekamp, L., and Sure, M. (2015). Consequences of Industry 4.0 on Human Labour and Work Organisation. The Journal of Business and Media Psychology, 1, 33-40. Retrieved from https://journal-bmp.de/wp-content/uploads/2015/12/04_Bonekamp-Sure_final.pdf, 03.06.2019.
  • 3. Brynjolfsson, E., and McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. New York: W.W. Norton & Company. Retrieved from https://edisciplinas.usp.br/pluginfile.php/4312922/mod_resource/content/2/Erik%20-%20The%20Second%20Machine%20Age.pdf, 03.06.2019.
  • 4. Davis, J., Edgar, T., Porter, J., Bernaden, J., and Sarli, M. (2012). Smart manufacturing, manufacturing intelligence and demand-dynamic performance. Computers & Chemical Engineering, 47(20), 145-156. doi: https://doi.org/10.1016/j.compchemeng.2012.06.037.
  • 5. Dominici, G., Roblek, V., Abbate, T., and Tani, M. (2016). “Click and drive”: Consumer attitude to product development. Towards future transformations of driving experience. Business Process Management Journal, 22, 420-434. doi:10.1108/BPMJ-05-2015-0076.
  • 6. Drath, R., and Horch, A. (2014). Industrie 4.0 Hit or Hype. IEEE Industrial Electronics Magazine, 8(2), 56-58. Retrieved from https://www.researchgate.net/profile/Rainer_Drath/publication/263285662_Industrie_40_Hit_or_Hype_Industry_Forum/links/5909965e458515ebb495dde7/Industrie-40-Hit-or-Hype-Industry-Forum.pdf, 15.05.2019.
  • 7. Fatorachian, H., and Kazemi, H. (2018). A Critical Investigation of Industry 4.0 in Manufacturing Theoretical Operationalisation Framework. Production Planning & Control. The Management of Operations, 29(8), 633-644. doi: 10.1080/09537287.2018.1424960.
  • 8. Frey, B., and Osborne, M.A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114, 254-280. doi: https://doi.org/10.1016/j.techfore.2016.08.019.
  • 9. Groover, M.P. (2015). Automation, production systems, and computer-integrated manufacturing. New York: Pearson Higher Education, Inc. Retrieved from https://www.academia.edu/34819103/Automation_CIM_Groover_4th_Edition.pdf, 11.06.2019.
  • 10. Kane, G.C., Palmer, D., Phillips, A.N., and Kiron, D. (2015). Is your business ready for a digital future? MIT Sloan Management Review, 56(4), 36-45. Retrieved from http://ilp.mit.edu/media/news_articles/smr/2015/56415.pdf.
  • 11. Lasi, H., Fettke, P., Kemper, H.G., Feld, T., and Hoffmann, M. (2014). Industry 4.0. Business & Information Systems Engineering, 6(4), 239-242. doi: https://doi.org/10.1007/s12599-014-0334-4.
  • 12. Lee, J., Kao, H.-A., and Yang, S. (2014). Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment. Procedia CIRP, 16, 3-8. doi: 10.1016/j.procir.2014.02.001.
  • 13. Matovčíková, D. (2017). Industry 4.0 as the Culprit of Unemployment. 12th IWKM 2017, 12-13 October 2017, Trenčín, Slovakia, Retrieved from http://www.cutn.sk/Library/proceedings/km_2017/PDF_FILES/09_Matovcikova-71-78.pdf, 16.06.2019.
  • 14. Mostafa, N., Hamdy, W., and Alawady, H. (2019). Impacts of Internet of Things on Supply Chains: A Framework for Warehousing, Social Sciences, 2019 8(3), 84, 1-10. doi:10.3390/socsci8030084.
  • 15. Mourtzis, D., Vlachou, E., and Milas, N. (2016). Industrial Big Data as a Result of IoT Adoption in Manufacturing. Procedia CIRP, 55, 290-295. doi: 10.1016/j.procir. 2016.07.038.
  • 16. Qureshi, M.O., and Syed, R.M. (2014). The Impact of Robotics on Employment and Motivation of Employees in the Service Sector, with Special Reference to Health Care. Safety and Health at Work, 5(4), 198-202. doi: 10.1016/j.shaw.2014.07.003.
  • 17. Sachin, S.S., Gunasekaran, A., and Gawankar, S.A. (2018). Industry 4.0 framework: A systematic literature review identifying the current trends and future perspectives. Process Safety and Environmental Protection, 117, 408-25. doi: https://doi.org/10.1016/j.psep.2018.05.009.
  • 18. Santos, M.T., Oliveira e Sá, J., Andrade, C., Vale Lima, F., Costa, E., Costa, C., Martinho, B., and Galvão, J. (2017). A Big Data system supporting Bosch Braga Industry 4.0 strategy. International Journal of Information Management, 37(6), 750-760. doi:10.1016/j.ijinfomgt.2017.07.012.
  • 19. Schlaepfer, R.C., Koch, M., and Merkofer, P. (2017). Industry 4.0 – Challenges and solutions for the digital transformations and use of exponential technologies. Zurich: Deloitte AG. Retrieved from http://www.industrie2025.ch/fileadmin/user_upload/ch-en-delloite-ndustry-4-0-24102014.pdf, 03.06.2019.
  • 20. Strange, R., and Zucchella, A. (2017). Industry 4.0, global value chains and international business. Multinational Business Review, 25(3), 174-184. doi: https://doi.org/10.1108/MBR-05-2017-0028.
  • 21. The World Economic Forum (2016). The Future of Jobs. Employment, Skills and Workforce Strategy for the Fourth Industrial Revolution. Switzerland: World Economic Forum. Retrieved from http://www3.weforum.org/docs/WEF_Future_of_Jobs.pdf, 03.06.2019.
  • 22. The World Economic Forum (2018). The Future of Jobs Report 2018. Switzerland: World Economic Forum. Retrieved from http://www3.weforum.org/docs/WEF_Future_of_Jobs_2018.pdf, 04.06.2019.
  • 23. Wang, S., Wan, J., Zhang, D., Li, D., and Zhang, C. (2016). Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination. Computer Networks, 101, 158-168. doi: 10.1016/j.comnet.2015.12.017.
  • 24. World Bank (2019). World Development Report 2019: The Changing Nature of Work. Washington DC: World Bank. doi:10.1596/978-1-4648-1328-3.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7e72024d-fbc1-4145-966f-6a37a9360c47
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