• Ei tuloksia

Return on investment and potential customer benefit

3. Implementation of an effective business model for construction companies in Russia

3.5 Return on investment and potential customer benefit

The main effect from the program implementation is time saving, increased control over the work performed, and overall control both on the part of the customer and the

contractors.

According to forecast calculations the speed of elimination of remarks due to our program will increase by at least 2.5 times, respectively, the time of delay in the construction of the facility can be reduced by 2.5 times.

Let's carry out calculation of predicted efficiency of our program by an example of construction of an apartment house with the area of 21,150 sq.m., including the area of a dwelling part of 16,500 sq.m.

The planned construction period is 24 months.

According to our survey data, construction delays due to ineffective contractor

management amount to 20-25% of the planned construction period. Accordingly, the delays may amount to 5 months on average.

The main item of expenditure during the period of delayed construction is the wage fund, as the consumption of materials and the list of works to be performed remains practically unchanged.

An apartment house construction requires a team of 25 specialists, the amount of the average salary with taxes is 78 thousand rubles a month, the amount of payroll expenses of the whole team is 1,950 thousand rubles a month.

The amount of the increase in construction costs in the case of a standard delay will be:

1 950 * 5 months = RUB 9,750 thousand.

Our program will allow to reduce the cost increase by 2.5 times or:

9,750 : 2.5 = 3,900 thousand rubles.

The costs of delayed construction before and after the implementation of our program are shown in the graph 18.

10 000 9 000 8 000 7 000 6 000 5 000 4 000 3 000 2 000 1 000 0

Before implementation After implementation

Fig. 18. The key customer benefits

thousand rubles

Then the cash savings on the construction of the facility will be: 9,750 - 3,900 = 5,850 thousand rubles.

The cost of using our program is 24 thousand a year. Then the net economic effect of using the program on the construction of this facility will be as follows:

5850 - 24 = 5 826 thousand rubles

4. Discussion and Conclusions

The study showed that the digitalization of construction should be considered as the management of economic activities and resources in construction, including a digitized (digitized, suitable for recording on electronic media) system for the production and sale of construction products, which, in turn, provides for the digitization of external relationships (cooperative chains) and internal business processes in each construction company.

Problems in the implementation of BIM technologies are the following:

1) an interoperability problem that prevents effective communication in a BIM environment. Interoperability refers to the ability of a product or system, the interfaces of which are completely open, to interact and function with other products or systems without any restrictions on access and implementation.

The above-mentioned plan of action is provided for by the national standards are provided for the design, construction, reconstruction, and overhaul, the preparation, adoption of, regulatory and technical documents, and estimates of the number of standards in the construction industry is to be used;

2) the problem of the lack of qualified personnel with the necessary competencies for the effective use of BIM technologies. Appropriate training programs for information modeling technologies have already been introduced in the educational process of specialized universities, so the training of employees with the necessary qualifications will soon meet employers' requests. To solve this problem, it is necessary to strengthen interdisciplinary ties between students - future builders and students - future developers of software interfaces for data exchange;

3) the problem of insufficient awareness of the benefits of BIM technology among

participants in the construction sector. Many construction companies, especially small ones, consider investment in BIM technology to be excessive and absurd, and continue to work with outdated systems. Need to hold seminars, conferences prove their effectiveness technology BIM practical examples with a real plan: improving the quality of project documentation, the accuracy of estimating the cost of construction, increasing cost control, a significant reduction in the number of errors that are simply impossible to detect within the framework of two-dimensional drawings.

In order to clarify the requirements for future software for construction project management involving subcontractors we have conducted a survey of managers and top managers of construction companies, which confirmed the need for the proposed solution. The solution we propose is to create software that allows you to monitor the progress of the construction project both remotely (from the office) and on-site (in the field).

According to the preliminary estimates made the cost of development of the proposed software amounts to 700,000 rubles with the duration of the development of 3 months.

Software sales model - by subscription. The cost of the standard tariff is 24,000 rubles per year or 2,000 rubles per month. The required payback period for software development is no more than 12 months. The calculation of economic efficiency of the proposed project by discounted cash flow method showed that the proposed project will be repaid in 11 months, with excess of discounted revenues over discounted expenses by 28,845 rubles. The profitability index of the proposed project is greater than one and is equal to 1,04.

Consequently, based on the NPV, DPP and PI indicators, the implementation of the software development project to manage the implementation of construction projects with the participation of contractors is effective. Based on the study, the following conclusions were drawn.

Most of the methods devoted to assessing the investment attractiveness, both for the industry and for enterprises, do not provide for the analysis and comprehensive study of groups of reasons and factors that affect the flow of investment and the very investment attractiveness of the industry.

It was also revealed that the use of digital technologies in construction is an important factor,

since they significantly reduce costs, as well as facilitate work and increase the efficiency of project management, which is undoubtedly important for the industry, since these indicators increase investment attractiveness and thereby increase the flow investment. Accordingly, Russia needs to increase the development of digitalization and introduce a set of financial instruments that will stimulate a high level of technology in the construction industry, thereby narrowing the gap from countries that are successful in digitalization. But there are factors such as bureaucracy, negative experience in the use of technologies, sanctions on foreign software, which slow down the introduction of IT technologies and prevent our state from using digital technologies to the extent that other countries do. There are all the prerequisites for the development and implementation of a set of new programs and financial instruments for the continuation of the development of digital technologies that affect the inflow of investments into the construction industry of the Russian Federation.

References

Akberdina, V. (2018). Transformation of the Russian industrial complex in the context of the digitalization of the economy. Journal of new economy, 19(3), pp.82–99.

Alaloul, W. (2021). Productivity monitoring in building construction projects, a systematic review. [online] Available at:

https://www.researchgate.net/publication/352687404_Productivity_monitoring_in_

building_construction_projects_a_systematic_review [Accessed 12 Oct. 2021].

Andreeva, A.M. and Mizova, E.M. (2018). Digital economy new business opportunities. [online] Available at: https://cyberleninka.ru/article/n/digital-economy-new-business-opportunities [Accessed 15 Oct. 2021].

Anon, (n.d.). Digital economy 2024: National program. [online] Available at:

https://digital.ac.gov.ru [Accessed 14 Nov. 2021].

Baggio, S., Iglesias, K. and Rousson, V. (2018). Modeling Count Data in the

Addiction field: Some Simple recommendations. International journal of methods in psychiatric research, 27(1), pp.15–81.

Barzhanov, A.B. (2021). Digitalization in the industry: challenges, key constraints, digitalization directions. School of Science, (5), pp.15–16.

Belostotsky, A. (2017). Contemporary problems of numerical modelling of unique structures and buildings. International Journal for Computational Civil and

Structural Engineering, pp.9–34. №13.

Bersch, J., Diekhof, J. and Krieger, J. (2019). Productivity Slowdown, Innovation and Industry Dynamics. pp.229–241.

Dobrynin, A.P., Chernykh, K. and Kupriyanovsky, V.P. (2016). Digital economy – various ways to the effective use of technologies. International Journal of Open Information Technologies, (4), pp.4–10. №1.

Dubovik, E.S. and Koroleva, I.B. (2021). Digitalization of Road Construction in Russia. Global and Regional Research. 3(2), pp.76–83.

Fedorchenko, V.A. and Vasilenko, J.A. (2021). Increasing the competitiveness of construction organizations through the digitalization of workflow.

Gobble, M. (2018). Digitalization, Digitization, and Innovation. Research-Technology Management. 61(4), pp.56–59.

Kabanov, D.E. and Chernenko, I.M. (2021). Digitalization of the Construction Industry in Russia: Current state and prospects. Spring Days of Science.

Yekaterinburg, pp.240–243.

Karacheva, A.A. and Larionova, Y. (2021). Features of the Organization of Housing Construction in the Moscow Region in the context of the digitalization of the economy. In Digital Ecosystems for Sustainable Development of Economic Actors and Business Analysis (pp. 64-92).

Kelley, K., Clark, B., Brown, V. and Sitizia, J. (2003). Good practice in the conduct and reporting of survey research. International Journal for Quality in Health Care, 15(3), pp.261–266.

Kholodov, A.A. and Vishnyakov, N.V. (2021). Digitalization of construction production. pp.4–6.

Kitrar, L.A. and Lola, I. (2019). Features of market measurement of digital activity of entrepreneurs in Russia: approach, indicators, pilot results. 26(8), pp.28–42.

Korovin, G.B. (2021). Social and Economic aspects of digitalization in Russia.

Journal Economic Theory. 16(1), pp.1–11.

Kotov, I.V. (2021). Self-regulation as a legal way to protect against threats to the economic security of a construction company. Civil Law, (2), 37-41.

Kupriyanovski, V.P., Sinyakov, S.A. and Tischenko, S.A. (2019). Smart City:

application GIS and FM technologies in the implementation of urban planning policy. ArcReview, №2 (61).

Listopad, M.E. and Pshul, L.A. (2021). Analysis of the investment attractiveness of the construction industry in modern conditions of digitalization.

Lola, I. and Bakeev, M. (2021). ). Digital Transformation in the Manufacturing Industries of Russia: an Analysis of the Business Tendencies Observations Results. 35(4), pp.628–657.

Malyarenko, A.V. (2021). Informatization of the Sphere of Support of Foreign Economic Activity in the Construction Sector.

McKinsey (2019). [online] Available at:

https://www2.deloitte.com/content/dam/insights/us/articles/6287_path-to-growth/DI_path-to-growth.pdf.

Oztemel, E. and Gursev, S. (2020). Literature review of industry 4.0 and related technologies. Journal of Intelligent Manufacturing, 31(1), pp.127–182.

Reiter, K.A. (2021). Digital transformation of marketing strategies for construction SMEs. Theoretical and Applied Economics. (3), pp.30–45.

Skorokhodov, E.S. (2021). Digitalization in construction: trends and problems.

pp.837–841.

Turkova, V.N., Archipova, A.N. and Fedorovna, Z.G. (2020). Digital transformation of the Russian construction industry. [online] Available at:

https://www.researchgate.net/publication/342850186_Digital_transformation_of_th e_Russian_construction_industry [Accessed 16 Nov. 2021].

Vial, G. (2019). Understanding digital transformation: a review and research agenda. The Journal of Strategic Information Systems, 28(2), pp.118–144.

Wang, J., Wei, G. and Dong, X. (2021). A dynamic fire escape path planning method with BIM. [online] Available at:

https://www.researchgate.net/publication/348168657_A_dynamic_fire_escape_pat h_planning_method_with_BIM [Accessed 18 Nov. 202