Maturity model for assessing digitalization process of construction industry companies
https://doi.org/10.26425/2658-3445-2023-6-2-4-13
Abstract
The construction industry is on the verge of large–scale changes as Industry 4.0 is preparing industrial enterprises for serious challenges. Digital transformation can bring significant changes in all areas of enterprise activity. Maturity models are usually used to assess the current situation and measure the digital maturity of an organization. The authors’ four-stage model of digital maturity assessment for construction industry companies has been proposed. When developing the model, it had been decided to move away from general assessments and use specific changes that would occur at construction industry companies in the process of digital transformation as an assessment tool. The model contains fifteen assessment factors, changes of which at various stages are indicators of digital maturity. The proposed model contains a detailed description of the four stages of digital maturity, therefore it can serve not only to assess the digital maturity of industrial enterprises in the construction industry, but can also be used to indicate the goals planned to be achieved in the future as part of digital transformation, in strategies or business models of enterprises. A distinctive feature of the model is evaluation factors reflecting the degree of integration of the digital environment of industrial enterprises with BIM models of construction organizations.
About the Authors
A. R. Bulina
National Research Moscow State University of Civil Engineering
Russian Federation
Russian Federation
Anna R. Bulina - Postgraduate Student
Moscow
N. A. Solopova
National Research Moscow State University of Civil Engineering
Russian Federation
Russian Federation
Natalia A. Solopova - Dr. Sci. (Econ.), Prof. at the Management and Innovations Department
Moscow
References
1. Anderson E. (2017), “Empire of Cotton: A Global History”, In: Ethnobiology Letters, Vintage, NY, pp. 97–100, DOI https://doi.org/10.14237/ebl.8.1.2017.1068
2. Erol S., Schumacher A. and Sihn W. (2016), “Strategic guidance towards Industry 4.0 – a three-stage process model”, Proc. of International Conference on Competitive Manufacturing, January 27–29, 2016, Stellenbosch, South Africa.
3. Ganzarain J., Errasti N. (2016), “Three Stage Maturity Model in SME’s toward Industry 4.0”, Journal of Industrial Engineering and Management, vol. 9, no. 5, pp. 1119–1128, DOI https://doi.org/10.3926/jiem.2073
4. Gileva T.A. (2019), “Digital maturity of the enterprise: methods of assessment and management”, Вulletin USPTU, no. 1(27), pp. 38–52 (in Russian), DOI https://doi.org/10.17122/2541-8904-2019-1-27-38-52
5. Gökalp E., Şener U. and Eren P.E. (2017), “Development of an Assessment Model for Industry 4.0: Industry 4.0-MM”, International Conference on Software Process Improvement and Capability Determination, September 9, 2017, Springer, Cham, pp. 128–142, DOI https://doi.org/10.1007/978-3-319-67383-7_10
6. Kuzmin P.S. (2021), “Industrial digitalization: Аn empirical assessment of the digital maturity of enterprises”, Strategic Decisions and Risk Management, no. 12(3), pp. 220–235 (in Russian), DOI https://doi.org/10.17747/2618-947X-2021-3-220-23
7. Merzlov I.Yu. (2022), “Methods for assessing digital maturity: an overview of international practice” Journal of Creative Economy, vol. 16, no. 2, pp. 503–520 (in Russian), DOI https://doi.org/10.18334/ce.16.2.114163
8. Popov E.V., Simonova V.L. and Cherepanov V.V. (2021), “Digital maturity levels of an industrial enterprise”, Journal of new economy, no. 2, pp. 88–109 (in Russian), DOI https://doi.org/10.29141/2658-5081-2021-22-2-5
9. Scremin L., Armellini F., Brun, A., Solar-Pelletier L. and Beaudry C. (2018), “Towards a Framework for Assessing the Maturity of Manufacturing Companies in Industry 4.0 Adoption”, In: Research Anthology on Cross-Industry Challenges of Industry 4.0, IGI Global, Hershey, PA, pp. 895–925, DOI https://doi.org/10.4018/978-1-7998-8548-1.ch045
10. Schuh G., Potente T., Varandani R. and Schmitz T. (2014), “Global Footprint Design based on genetic algorithms – An ‘Industry 4.0’ perspective”, CIRP Annals-Manuf. Technology, vol. 63, no. 1, pp. 433–436.
11. Schumacher A., Erol S. and Sihn W. (2016), “A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises”, Procedia CIRP, vol. 52, pp. 161–166, DOI https://doi.org/10.1016/j.procir.2016.07.040
Review
For citations:
Bulina A.R., Solopova N.A. Maturity model for assessing digitalization process of construction industry companies. E-Management. 2023;6(2):4-13. (In Russ.) https://doi.org/10.26425/2658-3445-2023-6-2-4-13
Views:
1093
Email this article 