Abstract
Nowadays the concept of digitalization and Industry 4.0 is more and more important, and organizations must improve and adapt their processes and systems in order to keep up to date with the latest paradigm. In this context, there are multiple developed Maturity Models (MMs) to help companies on the processes of evaluating their digital maturity and defining a roadmap to achieve their full potential. However, this is a subject in constant evolution and most of the available MMs don’t fill all the needs that a company might have in its transformation process. Thus, European Digital Innovation Hubs (EDIH) arose to support companies on the process of responding to digital challenges and becoming more competitive. Supported by the European Commission and the Digital Transformation Accelerator, they use tools to measure the digital maturity progress of their customers. This paper analyzes several MMs publicly available and compares them to the guidelines provided to the EDIH.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Brown, N., Brown, I.: From Digital Business Strategy to Digital Transformation – How? A Systematic Literature Review (SAICSIT 2019), 17–18 September 2019, Skukuza (2019)
Becker, J., Kanckstedt, R., Pöppelbuß, J.: Developing Maturity Models for IT Management – A Procedure Model and Its Application (2009)
Mettler, T.: Maturity assessment models: a design science research approach. Int. J. Soc. Syst. Sci. 3(½) (2011)
Sassanelli, C., et al.: Towards a reference model for configuring services portfolio of digital innovation hubs: the ETBSD model. In: Camarinha-Matos, L.M. et al. (eds.) PRO-VE 2020, IFIP AICT 598, pp. 597–607 (2020)
Röglinger, M., Pöppelbuß, J., Becker, J.: Maturity models in business process management. Bus. Process Manag. J. 18, 2 (2012)
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, pp. 5165–5174 (2019)
Chanias, S., Hess, T.: How digital are we? Maturity models for the assessment of a company’s status in the digital transformation. Munich (2016)
CMU. Cert’s podcasts: security for business leaders: show notes (2010). https://resources.sei.cmu.edu/asset_files/Podcast/2010_016_102_67772.pdf
PwC. Industry 4.0: Building the Digital Enterprise (2016). https://www.pwc.com/gx/en/industries/industries-4.0/landing-page/industry-4.0-building-your-digital-enterprise-april-2016.pdf
Deloitte: Digital Maturity Model. (2018). https://www2.deloitte.com/content/dam/Deloitte/global/Documents/Technology-Media-Telecommunications/deloitte-digital-maturity-model.pdf
KPMG: Digital Readiness Assessment. (2016). https://assets.kpmg/content/dam/kpmg/pdf/2016/04/ch-digital-readiness-assessment-en.pdf
Duarte, N., Pereira, C., Carneiro, D.: Digital maturity: an overview applied to the manufacturing industry in the region of Tâmega e Sousa, Portugal. In: 12th International Scientific Conference Business and Management. Vilnius, Lithuania (2022)
Nda, R., Tasmin, R., Hamid, A.: Assessment of big data analytics maturity models: an overview. In: Proceedings of the 5th NA International Conference on Industrial Engineering and Operations Management Detroit, Michigan, 10–14 August 2020 (2020)
World Economic Forum. The Global Smart Industry Readiness Index Initiative: Manufacturing Transformation Insights Report 2022 (2022). https://www.edb.gov.sg/en/business-insights/market-and-industry-reports/manufacturing-transformation-insights-report-2022.html
Leyh, C., et al.: SIMMI 4.0 – a maturity model for classifying the enterprise-wide IT and software landscape focusing on Industry 4.0. In: Proceedings of the Federated Conference on Computer Science and Information Systems, pp. 1297–1302 (2016)
Klötzer, C., Pflaum, A.: Toward the development of a maturity model for digitalization within the manufacturing industry’s supply chain. In: Proceedings of the 50th Hawaii International Conference on System Sciences, pp. 4210–4219 (2017)
Katsma, C., Moonen, H., Hillegersberg, J.: Supply chain systems maturing towards the internet-of-things: a framework. In: 24th Bled eConference eFuture: Creating Solutions for the Individual, Organisations and Society, Bled, 12–15 June 2011 (2011)
Gökalp, E., Şener, U., Eren, P.: Development of an Assessment Model for Industry 4.0: Industry 4.0-MM (2017)
De Carolis, A., et al.: A maturity model for assessing the digital readiness of manufacturing companies (2017)
Schumacher, A., Erol, S., Sihn, W.: A maturity model for assessing Industry 4.0 readiness and maturity of manufacturing enterprises (2016)
Chonsawat, N., Sopadang, A.: The development of the maturity model to evaluate the smart SMEs 4.0 readiness. In: Proceedings of the International Conference on Industrial Engineering and Operations Management Bangkok, 5–7 March 2019 (2019)
Ganzarain, J., Errasti, N.: Three stage maturity model in SME’s toward Industry 4.0. J. Indust. Eng. Manag. OmniaScience, Barcelona 9(5), 1119–1128 (2016). ISSN 2013-0953
Weber, C., et al.: M2DDM – a maturity model for data-driven manufacturing. In: The 50th CIRP Conference on Manufacturing Systems, pp. 173–178 (2017)
Jæger, B., Halse, L.: The IoT Technological Maturity Assessment Scorecard: A Case Study of Norwegian Manufacturing Companies (2017)
European Commission. Digitising European Industry Reaping the Full Benefits of a Digital Single Market. (2016). https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A52016DC0180
European Digital Innovation Hubs. https://digital-strategy.ec.europa.eu/en/activities/edihs. Accessed 2022/11/18
European Commission. Annex to the Commission Implementing Decision on the Financing of the Digital Europe Programme and Adoption of the Multiannual Work Programme – European Digital Innovation Hubs for 2021–2023 (2021)
European Commission. Digital Maturity Assessment for EDIH Customers. https://ec.europa.eu/newsroom/dae/redirection/document/82255
Acknowledgements
This work is financed by National Funds through the Portuguese funding agency, FCT - Fundação para a Ciência e a Tecnologia, within project LA/P/0063/2020.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Babo, D., Pereira, C., Carneiro, D. (2024). Study of Digital Maturity Models Considering the European Digital Innovation Hubs Guidelines: A Critical Overview. In: Rocha, A., Adeli, H., Dzemyda, G., Moreira, F., Colla, V. (eds) Information Systems and Technologies. WorldCIST 2023. Lecture Notes in Networks and Systems, vol 800. Springer, Cham. https://doi.org/10.1007/978-3-031-45645-9_20
Download citation
DOI: https://doi.org/10.1007/978-3-031-45645-9_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-45644-2
Online ISBN: 978-3-031-45645-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)