The Healthcare Operations Management and the Industry 4.0: The Disruptive Technology Use in the Continuous Education

  • Gláucya DaúEmail author
  • Annibal Scavarda
  • Fang Zhao
  • Meena Chavan
Conference paper
Part of the Springer Proceedings in Business and Economics book series (SPBE)


The industry 4.0 can contribute to the healthcare operations management through the disruptive technology use in the continuous education of the healthcare professionals. This research study analyzes the interaction between the theoretical information and its practical applicability in the healthcare operations management safe process development. The researchers developed this study between May and July, 2018, and search to answer two questions. The questions are: How to use the disruptive technologies in the continuous education for healthcare professionals? How to enable professionals present on healthcare operations to use these technologies? The Global Competitiveness Index by the World Economic Forum report [14] was the basis of the data for this study. The results and discussion section have two highlights: “the professional adaptation to the disruptive technologies” and “the use of the disruptive technologies on continuous education.” The Conclusions section shows that the insertion of the disruptive technology brings the work optimization time of the professional for a specific activity. The implementation of the annual training schedule, the adjustment of the sector dynamics, and the adhesion of the professional on the educational program are presented in the conclusions. This research study contributes the insertion of the healthcare professional on the educational program and the fourth industrial revolution.


Disruptive technologies Healthcare operations management Industry 4.0 



The present study was developed at the Health Economic and Technological Evaluation Laboratory of the Federal University of the State of Rio de Janeiro. The authors would like to acknowledge the support from the Rio de Janeiro State Foundation for Research Support, the Brazilian Network for Evaluation of Health Technologies, and the Brazilian National Scientific and Technological Development Council (Grant Number 3131812014-4).


  1. 1.
    Chen, Y.: Integrated and intelligent manufacturing: perspectives and enablers. Engineering 3, 588–595 (2017)CrossRefGoogle Scholar
  2. 2.
    Crifo, P., Diaye, Marc-Arthur, Pekovic, S.: CSR related management practices and firm performance: an empirical analysis of the quantity–quality trade-off on French data. Int. J. Prod. Econ. 171, 405–416 (2016)CrossRefGoogle Scholar
  3. 3.
    Harms, D., Hansen, E.G., Schaltegger, S.: Strategies in sustainable supply chain management: an empirical investigation of large german companies. Corporate social responsibility and environmental management. Corp. Soc. Responsib. Environ. Mgmt. 20, 205–218 (2013)CrossRefGoogle Scholar
  4. 4.
    Lintukangas, K., Hallikas, J., Kähkönen, A.K.: The role of green supply management in the development of sustainable supply chain. Corp. Soc. Responsib. Environ. Mgmt. 22, 321–333 (2015)CrossRefGoogle Scholar
  5. 5.
    Maas, S., Reniers, G.: Development of a CSR model for practice: connecting five inherent areas of sustainable business. J. Clean. Prod. 64, 104–114 (2014)CrossRefGoogle Scholar
  6. 6.
    Machado, C.M.L., Scavarda, A., Vaccaro, G.: Lean healthcare supply chain management: minimizing waste and costs. Indep. J. Manag. Prod. (IJM&P) 5(4), October - December (2014)Google Scholar
  7. 7.
    Müller, J.M., Kiel, D., Voigt, K.I.: What drives the implementation of industry 4.0? The role of opportunities and challenges in the context of sustainability. Sustainability. 10, 247 (2018)Google Scholar
  8. 8.
    Qin, J., Liu, Y., Grosvenor, R.: A categorical framework of manufacturing for industry 4.0 and beyond changeable, Agile reconfigurable & virtual production. Procedia CIRP. 52, 173–178 (2016)CrossRefGoogle Scholar
  9. 9.
    Torugsa, N.A., O’Donohue, W., Hecker, R.: Proactive CSR: an empirical analysis of the role of its economic, social and environmental dimensions on the association between capabilities and performance. J. Bus. Ethics 115, 383–402 (2013)CrossRefGoogle Scholar
  10. 10.
    Stock, T., Seliger, G.: Opportunities of sustainable manufacturing in industry 4.0. Procedia CIRP 40, 536–541 (2016)CrossRefGoogle Scholar
  11. 11.
    Vaidyaa, S., Ambad, P., Bhosle, S.: Industry 4.0—a glimpse. Procedia Manufact. 20, 233–238 (2018)CrossRefGoogle Scholar
  12. 12.
    Weyer, S., Schmitt, M., Ohmer, M., Gorecky, D.: Towards industry 4.0—standardization as the crucial challenge for highly modular, multi-vendor production systems. IFAC-Papers On Line 48(3), 579–584 (2015)Google Scholar
  13. 13.
    Wolf, J.: The relationship between sustainable supply chain management, stakeholder pressure and corporate sustainability performance. J. Bus. Ethics 119, 317–328 (2014)CrossRefGoogle Scholar
  14. 14.
    World Economic Forum.: The Global Competitiveness Report ISBN—13:978-1-944835-11-8. Geneva (2017–2018)Google Scholar
  15. 15.
    Zezulka, F., Marcon, P., Vesely, I., Sajdi, O.: Industry 4.0—An Introduction in the phenomenon. IFAC Papers On Line 49–25, 008–012 (2016)CrossRefGoogle Scholar
  16. 16.
    Zhong, R.Y., Xu, X., Klotz, E., Newman, S.T.: Intelligent manufacturing in the context of industry 4.0. Rev. Eng. 3, 616–630 (2017)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Health Economic and Technological Evaluation LaboratoryFederal University of the State of Rio de Janeiro—UNIRIORio de JaneiroBrazil
  2. 2.Production Engineering SchoolFederal University of the State of Rio de Janeiro—UNIRIORio de JaneiroBrazil
  3. 3.School of Business and LawEdith Cowan UniversityJoondalupAustralia
  4. 4.Department of Marketing and Management, Faculty of Business and EconomicsMacquarie UniversitySydneyAustralia

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