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Digitalization of investment and construction enterprises focused on various activities

https://doi.org/10.22227/1997-0935.2025.11.1794-1805

Abstract

Introduction. Digitalization and digital transformation are key development trends manifested by the investment and construction industry in Russia and worldwide. However, in research, digitalization and digital transformation are often considered generically in relation to all enterprises in the field, or, alternatively, one small group of enterprises is identified. The purpose of this study is to identify industry-specific characteristics of digital transformation in the field of personnel management, including shortage of qualified personnel, resistance of management and employees to changes in the process of
transition to digital technologies. The study focuses on enterprises performing different activities within the framework of investment and construction projects.

Materials and methods. The research is backed by the data collected by launching a sociological survey and an online questionnaire within the framework of a study of digitalization implemented at Russian construction enterprises. The data thus collected were statistically processed, and factor analysis was applied to find correlation between characteristics of enterprises and their main activities (functional orientation).

Results. Respondents analyzed the shortage of qualified personnel proficient in digital technologies. Integrated analysis is presented; it is also broken down by groups of enterprises clustered by functions. In the same manner, resistance to change was also analyzed; as a result, a group that is resistant to change was identified. This behaviour is typical for regular employees; however, it is also largely demonstrated by executives and mid-level managers.

Conclusions. The analysis underlies the conclusion about the need to plan and streamline processes of digitalization and digital transformation, taking into account all studied aspects and scientifically grounded proposals to reduce resistance to change in such cases. Measures taken to reduce resistance to change will reduce its negative manifestations and increase the efficiency of digitalization and digital transformation processes.

About the Authors

T. N. Kisel
Moscow State University of Civil Engineering (National Research University) (MGSU)
Russian Federation

Tatiana N. Kisel — doctor of Economic Sciences, Associate Professor, Associate Professor of the Department of Management and Innovation

26 Yaroslavskoe shosse, Moscow, 129337

RSCI AuthorID: 655408, Scopus: 56184206400, ResearcherID: R-1538-2017



Yu. S. Prokhorova
Moscow State University of Civil Engineering (National Research University) (MGSU)
Russian Federation

Yulia S. Prokhorova — Candidate of Economic Sciences, Associate Professor of the Department of Management and Innovation

26 Yaroslavskoe shosse, Moscow, 129337

RSCI AuthorID: 818105, Scopus: 57191269642, ResearcherID: ABI-2855-2020



Ju Zhimin
Chinese construction company “China Nuclear Industry Huaxing Construction Co., Ltd”
China

Ju Zhimin — engineer



References

1. De Almeida P.R., Solas M.Z., Renz A., Bühler M.M., Gerbert P., Castagnino S. et al. Shaping the Future of Construction: A Breakthrough in Mindset and Technology. Geneva, World Economic Forum, 2016. DOI: 10.13140/RG.2.2.21381.37605

2. Adel G., Othman A.A.E., Harinarain N. Integrated Project Delivery (IPD): An Innovative Approach for Achieving Sustainability in Construction Projects. Lecture Notes in Civil Engineering. 2023; 195-209. DOI: 10.1007/978-3-030-97748-1_16

3. Schamne A.N., Nagalli A., Soeiro A.A.V., da Silva Poças Martins J.P. BIM in construction waste management: A conceptual model based on the industry foundation classes standard. Automation in Construction. 2024; 159:105283. DOI: 10.1016/j.autcon.2024.105283

4. Shilkina S. BIM-technologies in solving the pro-blems of construction waste management. Construction and Architecture. 2023; 11(1):6. DOI: 10.29039/2308-0191-2022-11-1-6-6

5. Egan J. Rethinking Construction: The Report of the Construction Task Force to the Deputy Prime Minister, John Prescott, on the Scope for Improving the Quality and Efficiency of UK Construction. London, Her Majesty’s Stationery Office, Department of Trade and Industry, 1998.

6. Miller R., Strombom D., Iammarino M., Black B. The Commercial Real Estate Revolution: Nine Transforming Keys to Lowering Costs, Cutting Waste, and Driving Change in a Broken Industry. Hoboken, NJ, Wiley, 2009.

7. Ashcraft H. Transforming project delivery: integrated project delivery. Oxford Review of Economic Policy. 2022; 38(2):369-384. DOI: 10.1093/oxrep/grac001

8. Changali S., Mohammad A., van Nieuwland M. The Construction Productivity Imperative. McKinsey. 2015. URL: https://www.mckinsey.com/business-functions/operations/our-insights/the-construction-productivity-imperative

9. Flyvbjerg B., Bruzelius N., Rothengatter W. Megaprojects and Risk. UK ; New York, Cambridge University Press, 2003. DOI: 10.1017/cbo9781107050-891

10. Teicholz P. Labor-Productivity Declines in the Construction Industry: Causes and Remedies. Santa Clara, AECbytes, 2004.

11. Teicholz P. Labor-productivity Declines in the Construction Industry: Causes and Remedies (Another Look). AECbytes. Santa Clara, AECbytes, 2013.

12. Hashim M.Z., Harun N.A., Othman I., Hassan S.H., Musa M.K. The Impact of Building Information Modelling (BIM) on Labor Productivity. International Journal of Academic Research in Business and Social Sciences. 2024; 14(9). DOI: 10.6007/IJARBSS/v14-i9/22787

13. Wong J., Rashidi A., Arashpour M. Evaluating the Impact of Building Information Modeling on the Labor Productivity of Construction Projects in Malaysia. Buildings. 2020; 10(4):66. DOI: 10.3390/buildings10040066

14. Kisel T.N., Krylov V.V., Krylova M.V., Gri-nik O.D. Restructuring enterprises in the investment and construction sector, considering its condition and directions of development. The Eurasian Scientific Journal. 2024; 16(3):12. EDN CUPNVG. (rus.).

15. Krzemiński M. Construction Team Downtime Minimization Model Including Efficiency Coefficients. Procedia Engineering. 2016; 161:18-22. DOI: 10.1016/j.proeng.2016.08.491

16. De Marco A., Karzouna A. Assessing the Benefits of the Integrated Project Delivery Method: A Survey of Expert Opinions. Procedia Computer Science. 2018; 138:823-828. DOI: 10.1016/j.procs.2018.10.107

17. Jaffar N., Abdul Tharim A.H., Shuib M.N. Factors of Conflict in Construction Industry : а Literature Review. Procedia Engineering. 2011; 20:193-202. DOI: 10.1016/j.proeng.2011.11.156

18. Abashkin V.L., Abdrakhmanova G.I., Vish-nevsky K.O., Gokhberg L.M., Demidkina O.V., Demyanova A.V. et al. Indicators of the digital economy: 2024 : statistical collection. Moscow, HSE, 2024; 276. (rus.).

19. Moskvichev M.A. Digital transformation of construction organizations. Economics: Yesterday, Today and Tomorrow. 2023; 13(3-1):294-304. DOI: 10.34670/AR.2023.90.59.067. EDN BMGRGV. (rus.).

20. Shiryaev N., Sadovnikov D. Digital transformation of the activities of design and architectural construction organizations using Lotsia PDM PLUS. CAD and Graphics. 2019; 2(268):52-56. EDN SOAKSL. (rus.).

21. Bulina A.R., Solopova N.A. Maturity model for assessing digitalization process of construction industry companies. E-Management. 2023; 6(2):4-13. DOI: 10.26425/2658-3445-2023-6-2-4-13. EDN QOWIKX. (rus.).

22. Prokhorova Yu.S., Kisel T.N. A study of the le-vel of digitalization in Russian enterprises of the investment and construction sector. Moscow, MISI – MGSU Publishing House, 2023; 53. DOI: 10.22227/978-5-7264-3243-4.2023.53. EDN CNSCLW. (rus.).


Review

For citations:


Kisel T.N., Prokhorova Yu.S., Zhimin J. Digitalization of investment and construction enterprises focused on various activities. Vestnik MGSU. 2025;20(11):1794-1805. (In Russ.) https://doi.org/10.22227/1997-0935.2025.11.1794-1805

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ISSN 1997-0935 (Print)
ISSN 2304-6600 (Online)