Digital Twins Approach and Future Knowledge Management Challenges: Where We Shall Need System Integration, Synergy Analyses and Synergy Measurements?

  • Jari Kaivo-ojaEmail author
  • Osmo KuusiEmail author
  • Mikkel Stein Knudsen
  • Theresa Lauraeus
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1027)


We’re in the midst of a significant transformation regarding the way we produce products and deliver services thanks to the digitization of manufacturing and new connected supply-chains and co-creation systems. This article elaborates Digital Twins Approach to the current challenges of knowledge management when Industry 4.0 is emerging in industries and manufacturing. Industry 4.0 approach underlines the importance of Internet of Things and interactions between social and physical systems. Internet of Things (and also Internet of Services and Internet of Data) are new Internet infrastructure that marries advanced manufacturing techniques and service architectures with the I-o-T, I-o-S and I-o-D to create manufacturing systems that are not only interconnected, but communicate, analyze, and use information to drive further intelligent action back in the physical world. This paper identifies four critical domains of synergy challenge: (1) Man-to-Man interaction, (2) Man-to-Machine interaction, (3) Machine-to-Man interaction and finally (4) Machine-to-Machine interaction. Key conclusion is that new knowledge management challenges are closely linked to the challenges of synergic interactions between these four key interactions and accurate measurements of synergic interaction.


Digital Twins Approach Human-machine interaction Synergy challenges Synergy measurements Industry 4.0 


  1. 1.
    Schwab, K.: The Fourth Industrial Revolution. World Economic Forum, New York (2017)Google Scholar
  2. 2.
    Liffler, M., Tschiesner, A.: The internet of things and the future of manufacturing. McKinsey & Company (2013).
  3. 3.
    Goodwin, T.: Digital Darwinism. Survival of the Fittest in the Age of Business Disruption. Kogan Page Limited. London (2018)Google Scholar
  4. 4.
    de Sousa Jabbour, A.B.L., Jabbour, C.J.C., Foropon, C., Godinho Filho, M.: When titans meet – can industry 4.0 revolutionise the environmentally-sustainable manufacturing wave? The role of critical success factors. Technol. Forecast. Soc. Change 132, 18–25 (2018)CrossRefGoogle Scholar
  5. 5.
    Xu, L.D., Xu, E.L., Li, L.: Industry 4.0: state of the art and future trends. Int. J. Prod. Res. 56(8), 2941–2962 (2018)CrossRefGoogle Scholar
  6. 6.
    Knudsen, M.S., Kaivo-oja, J.: Are we in the midst of a fourth industrial revolution? New Industry 4.0 insights from future technology analysis professionals. FFRC-blog, 20 August 2018.
  7. 7.
    Müller, J.M., Buliga, O., Voight, K.-I.: Fortune favors the prepared: how SMEs approach business model innovations in Industry 4.0. Technol. Forecast. Soc. Change 132, 2–17 (2018)CrossRefGoogle Scholar
  8. 8.
    Rosen, R., von Wichert, G., Lo, G., Bettenhausen, K.D.: About the importance of autonomy and digital twins for the future of manufacturing. IFAC-PapersOnLine 48(3), 567–572 (2015)CrossRefGoogle Scholar
  9. 9.
    Tao, F., Zhang, M.: Digital twin shop-floor: a new shop-floor paradigm towards smart manufacturing. IEEE Access 5, 20418–20427 (2017)CrossRefGoogle Scholar
  10. 10.
    Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., Sui, F.: Digital twin-driven product design, manufacturing and service with big data. Int. J. Adv. Manuf. Technol. 94(9–12), 3563–3576 (2018)CrossRefGoogle Scholar
  11. 11.
    Qi, Q., Tao, F.: Digital twin and big data towards smart manufacturing and industry 4.0: 360 degree comparison. IEEE Access 6, 3585–3593 (2018)CrossRefGoogle Scholar
  12. 12.
    Marr, B.: What is digital twin technology - and why is it so important? Forbes, 6 March 2017.
  13. 13.
    Panetta, K.: Gartner top 10 strategic technology trends for 2019. Gartner Top 10 Strategic Technology Trends for 2019, 15 October 2018. Gartner.
  14. 14.
    Deloitte: Forces of Change: Industry 4.0. A Deloitte series in Industry 4.0 (2017).
  15. 15.
    Scoble, R., Israel, S.: Age of Context. Mobile, Sensors, Data and the Future of Privacy, 1st edn. Patrick Brewster Press (2014)Google Scholar
  16. 16.
    Parker, G.G., van Alstyre, M.W., Choudary, S.P.: Platform Revolution. How Networked Markets Are Transforming the Economy and How to Make Them Work For You. W.W. Norton Company. New York and London (2016)Google Scholar
  17. 17.
    Kritzinger, W., Karner, M., Traar, G., Henjes, J., Sihn, W.: Digital twin in manufacturing: a categorical literature review and classification. IFAC-PapersOnLine 51(11), 1016–1022 (2018)CrossRefGoogle Scholar
  18. 18.
    Abraovici, M., Göbel, J.C., Dang, H.B.: Semantic data management for the development and continuous reconfiguration of smart products and systems. CIRP Ann. 65(1), 185–188 (2016)CrossRefGoogle Scholar
  19. 19.
    Cearney, D.: The Top 10 Strategic Technology Trends for 2019, 29 November 2018. Accessed 10 Mar 2019
  20. 20.
    Digital Growth Unleashed: The Future of Personalization with AI and Machine Learning, 09 April 2018. Accessed 10 Mar 2019
  21. 21.
    Miranda, J., et al.: From the internet of things to the internet of people. IEEE Internet Comput. 19(2), 40–47 (2015)CrossRefGoogle Scholar
  22. 22.
    Kuusi, O.: Expertise in the Future Use of Generic Technologies. Government Institute for Economic Interest, Helsinki (1999)Google Scholar
  23. 23.
    Kaivo-oja, J.: The future of education – new methods and skills demanded by future professions. In: ThinkBDPST Conference, Budabest, Hungary, 30 Mar 2017, 14:20–15:30 @ Panel III (2017)Google Scholar
  24. 24.
    Asrar-ul-Hag, M., Anwar, S.: The many faces of leadership: Proposing research agenda through a review of literature. Future Bus. J. 4, 179–188 (2018)CrossRefGoogle Scholar
  25. 25.
    HMRR: Managing people in organizations: integrating the study of HRM and leadership. Hum. Res. Manag. Rev. 28, 249–257 (2018)Google Scholar
  26. 26.
    Zahoor, S., Mir, R.N.: Resource management in pervasive internet of things: a survey. J. Kind Saud University – Comput. Inf. Sci. (2018, in press).

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Finland Futures Research Centre, Turku School of EconomicsUniversity of TurkuTurkuFinland
  2. 2.Kazimieras Simonavicius UniversityVilniusLithuania

Personalised recommendations