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Towards a Novel Comparison Framework of Digital Maturity Assessment Models

  • B. CognetEmail author
  • J.-P. Pernot
  • L. Rivest
  • C. Danjou
  • T. Wuest
  • H. Kärkkäinen
  • M. Lafleur
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 565)

Abstract

The fourth industrial revolution is forcing companies to rethink their status quo – creating a need to assess their digital maturity as a basis for improvements. As a result, there is a variety of maturity models available in the literature. This paper introduces a novel comparison framework designed to compare different digital maturity assessment models. Our framework has several steps: reverse engineering of criteria from existing models, criteria matching analysis, as well as computation of the coverage and spread ratios. These two metrics characterize respectively the similarity of two maturity models, and the spread between them. We tested the proposed approach with two well-known maturity self-assessment approaches, namely the IMPULS and PwC methods. From our analysis, we were able to derive several insights that will help to develop a new maturity model specifically dedicated to support SMEs in the aerospace industry and manufacturing sector.

Keywords

Industry 4.0 Smart manufacturing Digitalization Maturity models Comparison framework Coverage and spread ratios Assessment 

References

  1. 1.
    Taisch, M.; et al.: World manufacturing forum 2018 report. World Manufacturing Forum (2018)Google Scholar
  2. 2.
    Scremin, L., Armellini, F., Brun, A., Solar-Pelletier, L., Beaudry, C.: Towards a framework to assess the maturity for Industry 4.0 adoption in manufacturing companies. In: Brunet-Thornton, R., Martínez, F. (eds.) Analyzing the Impacts of Industry 4.0 in Modern Business Environments, Chapter 12, pp. 224–254. IGI-Global (2018)Google Scholar
  3. 3.
    Mittal, S., Khan, M., Romero, D., Wuest, T.: A critical review of smart manufacturing & industry 4.0 maturity models: implications for small and medium-sized enterprises (SMEs). J. Manuf. Syst. 49, 194–214 (2018)CrossRefGoogle Scholar
  4. 4.
    Lichtblau, K., et al.: IMPULS - Industrie 4.0-readiness. VDMA (2015)Google Scholar
  5. 5.
    Geissbauer, R., Vedso, J., Schrauf, S.: Industry 4.0: building the digital enterprise. 2016 global industry 4.0 survey (2016)Google Scholar
  6. 6.
    Simpson, J.A., Weiner, E.S.C.: The Oxford English Dictionary. Oxford University Press, Oxford (1989)Google Scholar
  7. 7.
    Felch, V., Asdecker, B., Sucky, E.: Maturity models in the age of industry 4.0 – do the available models correspond to the needs of business practice? In: Proceedings of the 52nd Hawaii International Conference on System Sciences (2019)Google Scholar
  8. 8.
    Wendler, R.: The maturity of maturity model research: a systematic mapping study. Inf. Softw. Technol. 54(12), 1317–1339 (2012)CrossRefGoogle Scholar
  9. 9.
    Rossman, A.: Digital maturity: conceptualization and measurement model. In: Proceedings of Thirty Ninth International Conference on Information Systems (2018)Google Scholar
  10. 10.
    Westerman, G., Bonnet, D., McAfee, A.: Leading Digital: Turning Technology into Business Transformation. Harvard Business Review Press, Brighton (2014)Google Scholar
  11. 11.
    Schwer, K., Hitz, C., Wyss, R., Wirz, D., Minonne, C.: Digital maturity variables and their impact on the enterprise architecture layers. Prob. Perspect. Manage. 16(4), 141–154 (2018)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  • B. Cognet
    • 1
    Email author
  • J.-P. Pernot
    • 1
    • 2
  • L. Rivest
    • 1
  • C. Danjou
    • 3
  • T. Wuest
    • 4
  • H. Kärkkäinen
    • 5
  • M. Lafleur
    • 6
  1. 1.Département de Génie des SystèmesÉcole de Technologie SupérieureMontréalCanada
  2. 2.Arts et Métiers, LISPEN EA 7515HeSamAix-en-ProvenceFrance
  3. 3.Département de Mathématiques et Génie IndustrielÉcole PolytechniqueMontréalCanada
  4. 4.Departement of Industrial and Management Systems EngineeringWest Virginia UniversityMorgantownUSA
  5. 5.Laboratory of Industrial and Information ManagementTampere University of TechnologyTampereFinland
  6. 6.AéroMontréalMontréalCanada

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