Efficiency of digital transition in industry: Russian experience
- Autores: Akberdina V.V.1
-
Afiliações:
- Institute of Economics of the Ural Branch of the Russian Academy of Sciences
- Edição: Nº 1 (2023)
- Páginas: 10-18
- Seção: Guest of the volume
- URL: https://journals.rcsi.science/2077-7175/article/view/293873
- DOI: https://doi.org/10.25198/2077-7175-2023-1-10
- ID: 293873
Citar
Texto integral
Resumo
The article is devoted to the study of the digital transition’s effectiveness in Russian industry. The purpose of the study is an in-depth analysis of budgets for digital transformation in industrial sectors, as well as their relationship with the effectiveness of production. The study has the following theoretical frameworks: the concept of the fourth industrial revolution, the theory of innovation management and the concepts of digital maturity. The main research methods are structural and comparative analysis. The author obtained the following results: the structure of budgets for digitalization is investigated, the main cost items are highlighted; individual characteristics of each industry are shown. The analysis of «digital» budgets in the Russian industry showed a significant differentiation of industries both in terms of the amount of costs and their structure. The scientific novelty of the article is the matrix of the «digital» budget efficiency and the production growth index. The matrix shows that a number of industries with large absolute values of «digital» budgets are characterized by a rather low relative value and medium growth rates. These industries turned out to be raw materials industries such as oil and gas extraction and processing, metallurgy and the food industry. The study also confirmed the conclusion that the amount of financing for the digitalization of industrial enterprises is not always the main factor in the digital transition. If these costs do not work to increase efficiency (production volumes, growth rates), then the problems may lie deeper, for example, the discrepancy between the goals of digitalization and business goals, the lack of involvement of management in digitalization and organizational weakness of business processes, low digital culture at the enterprise, etc.
Palavras-chave
Texto integral
Introduction
The use of digital technologies in industry is a process that has serious expectations of efficiency. However, in order for expectations not to be overstated and unrealized, it is necessary to distinguish the details of this process. Let’s say that our subject area is no longer considered as a simple process of introducing ICT into production. We clearly distinguish between the concepts of «digitalization» and «digital transformation». By digitalization, we mean the use of digital technologies in companies’ business models to create additional value. At the same time, we define digital transformation as a process of system transition of industry from one technological paradigm to another through the large-scale use of digital technologies and ICT in order to significantly increase its efficiency and competitiveness. Digital transformation is a more holistic concept of change. Moreover, today we are talking about such a the paradigm shift of the business model. And we argue that the digital transition is based not only on significant technological changes, but also on structural, organizational, financial changes, as well as on the transformation of the value created in the industry itself.
While the growth of economic efficiency from computerization and primary digitalization is gradually slowing down and reaching a plateau, it is the digital transition as a system transformation of industry that is becoming the driver of efficiency.
It is obvious that the processes of digital transformation in industries are not proceeding uniformly. In many ways, this is due to the prerequisites for the digitalization of industries, the readiness of the industry for a digital transition and, of course, the financial capabilities of enterprises. Thus, Dolganova and Deeva investigated in detail the problems of insufficiently large-scale digitalization of business and the problems hindering digital transformation [8]. The expert survey conducted by the authors showed that one of the main barriers to digitalization is the insufficient maturity of the company’s business processes, the low level of digital competencies and the inconsistency of the business strategy and digital transformation strategy. The lack of necessary financing as a barrier to digitalization is only in the middle of the rating of all problems [8]. Studies by other authors also show that the financial capabilities of industrial enterprises play an important, but not a leading role in the digital transition of industries [5; 10; 11; 13; 14; 18; 20].
The purpose of this article is a detailed study of budgets for digital transformation in industries and their relationship with the effectiveness of production. We will look at the structure of the «digital» budget in the industry as a whole, highlight the most significant articles and articles for which insufficient funds are allocated. Next, we will analyze the cross-industrial cost structure for the digital transformation of industry and reveal some industry features. Finally, we will determine the sufficiency and effectiveness of the costs incurred for the digital transition in the industries and group the industries from the efficiency assessment.
Literature review
Our research is within the following theoretical framework.
The first theoretical framework of the study is the concept of the fourth industrial revolution and the concept of Industry 4.0 meaningfully embedded in it [7; 12; 17]. As we have already noted earlier [2], the concept of «Industry 4.0» meaningfully corresponds to the concept of «digital transformation of industry». Therefore, in the context of this study, in order to correctly understand «digital» budgets, we will adhere to the following understanding of the digital transformation of industry – these are the processes of a system «transition of industry from one technological mode to another through the large-scale use of digital and ICT in order to increase its efficiency and competitiveness» [2]. Accordingly, the costs of digital transformation are the costs of the introduction and use of digital technologies, leading to significant changes in the technological structure and ensuring an increase in production efficiency and competitiveness.
The second theoretical framework is the theory of innovation management related to the assessment of the impact of technological changes on the effectiveness of industrial enterprises. In the last decade, management and organizational scientists have been paying increasing attention to the relationship between digital transformation and innovation management [3; 9; 15; 16; 21]. In our opinion, technological and organizational changes associated with the use of digital technologies differ significantly from traditional innovations, since digital technologies have the character of «end-to-end» technologies, and the process of their implementation is complex, multilevel, nonlinear. It is particularly difficult to assess the cost effectiveness of conducting «end-to-end» digital technologies.
The concepts of digital maturity and digital strategies form the third theoretical framework of the study. Since the «digital» budget is the key to the implementation of digital transformation strategies, it will be important for us to understand its structure and impact on the effectiveness of not only the digitalization strategy itself, but also on the effectiveness of business strategies of enterprises and the development strategy of the industry. These concepts have not yet developed into a separate theoretical direction, but there are separate prerequisites for systematization [4; 6; 19].
Data and methods
The study uses data from the Federal State Statistics Service of the Russian Federation - digitalization costs by type of costs for 2021, as well as data on industrial production and indices. In the study, the data are summarized (mining, manufacturing and electric power) and detailed (types of manufacturing industries). The main research methods are structural and comparative analysis.
Results and discussion
- The structure of the budget for digital transformation in 2021.
In 2021, the budgets aimed at digital transformation in the Russian industry amounted to 478.7 million rubles, of which 72% are internal costs associated with the purchase of equipment, software, personnel training, etc. External costs of digitalization, which include the rental of digital equipment and software, technical support and access to databases, account for 28% of the total budget for digitalization of the industry.
In 2021, 138.2 million rubles (40.2%) was directed to the purchase of machinery and equipment related to digital technologies, of which almost half were computer equipment and office equipment (Fig. 1). The actual digital production equipment was purchased only for the amount of 31.1 million rubles.
Figure 1. Structure of internal costs for digital transformation in the industry of the Russian Federation, 2021
Source: author’s design on data source: Federal State Statistics Service of the Russian Federation, https://rosstat.gov.ru/statistics/science (accessed:14.12.2022)
The share of software purchases in 2021 amounted to 22% of the total budget of internal costs for digitalization, which is 75.4 million rubles. It should be noted that the share of Russian software amounted to 40.5% of the cost of software purchases. At present, the costs of employee training are seen to be quite insignificant - 3% of all internal expenses for digital transformation. Such expenses as the acquisition of a digital context are practically not found in industry.
- Cross-industrial structure of costs for digital transformation of industry in 2021.
The budget for digital transformation is unevenly distributed among the regions. Thus, 75% of the digitalization budget falls on 10 industries (more than 30 in total) (Fig. 2). The industry leaders in terms of the absolute value of digitalization costs are energy, production of petroleum products, gas and oil production, metallurgy, electronics and tool industry.
At the same time, certain types of digital transformation costs have pronounced industry features.
Thus, the enterprises transport engineering, production of rubber and plastic products, woodworking and furniture production have the cost of purchasing digital equipment in the amount of more than 10% of the total budget for digital transformation. Moreover, the highest expenses for digital equipment are noted in the automotive industry (58.3%), furniture manufacturing (54.7%), general mechanical engineering (35.3%). In these industries, the main focus is on digital equipment, not on software.
The emphasis on software (the share of purchase or development costs is more than 20%) is made in such industries as oil, gas, coal, metal ores, petroleum products, metallurgy, the production of medicines and electronics, as well as the production of beverages and tobacco. The leaders in the share of expenses for the software are the production of petroleum products (61.4%), the production of tobacco products (41.5%) and the production of medicines (39.8%).
Figure 2. Industry structure of the digital budget, 2021
Source: author’s design on data source: Federal State Statistics Service of the Russian Federation, https://rosstat.gov.ru/statistics/science (accessed:14.12.2022)
Adherents of import substitution (the share of Russian software costs in the amount of software costs is more than 50%) are coal enterprises (65.2%), clothing enterprises (56.7%), textile enterprises (69.6%), printing (95.5%), enterprises producing finished metal products (92.4%), electronics companies (54.1%). Oil refining enterprises (6.9%) and tobacco production enterprises (9.4%) are less focused on Russian software.
The costs of personnel training associated with the introduction of digital technologies in the industry as a whole occupy a small share, but a number of industries pay increased attention to this – these are energy enterprises, automotive and chemical industries. The costs of acquiring access to external databases are quite specific. These costs are typical for the food and textile industries, woodworking and printing houses, as well as utilities.
Earlier studies noted that metallurgical enterprises, as well as enterprises producing electrical equipment, electronics and chemical products, are the most ready for digital business transformation, since in these industries the level of primary digitalization and automation is quite high [21]. Today we observe that it is these enterprises that have a significant share of the «digital» budget, directed not to the purchase of digital equipment, but to the purchase and development of software. Further, it can be predicted that these industries will increase the share of the “digital” budget, which is aimed at increasing the digital competencies of employees and the growth of the human capital of companies.
- Effectiveness of digital transformation budgets in 2021.
The analysis of «digital» budgets will not be complete if it is not supplemented with an analysis of relative indicators. Let’s calculate the value of the indicator «digitalization costs per 1 million rubles of industrial output» and compare them with the index of industrial production. These indicators are shown in Figure 3. The size of the circle in Figure 3 corresponds to the volume of the «digital» budget of the industry for digital transformation in 2021.
In 2021, the leaders were leather production enterprises, electronics enterprises, as well as mining enterprises (except for the extraction of hydrocarbons and metal ores) (Fig. 3). At the same time, these same industries showed a significant (more than 110%) increase in output in 2021.
Coal mining, woodworking, tobacco production, and rubber and plastics production have the lowest values (Fig. 3). At the same time, in 2021, the woodworking and rubber-plastic industry showed fairly high growth rates (more than 110%). For these industries, growth was largely restorative.
Figure 3. Effectiveness of digital transformation budgets in 20211
Source: prepared by the author
Figure 4 shows a matrix that takes into account the ratio of the cost effectiveness of digitalization and the growth rate of production in 2021. The figure shows that a number of industries with large absolute values of «digital» budgets are characterized by a rather low relative value and moderate growth rates. These industries turned out to be raw materials industries such as oil and gas extraction and processing, metallurgy and the food industry.
Industrial Production Index, % | high rate (over 110%) | metal ore mining (2.3 million rubles) pulp and pцaper industry (4.1 million rubles) textile industry (1 million rubles) rubber and plastics production (4.2 million rubles) woodworking (2.2 million rubles) | medical products industry (11.9 million rubles) production of machinery and equipment (13.8 million rubles) automotive industry (17.8 million rubles) utilities (2.3 million rubles) leather goods industry (9.9 million rubles) furniture industry (2.0 million rubles) mining of other minerals (12.4 million rubles) |
medium rate (100–110%) | coal mining (2.9 million rubles) oil and gas production (42.5 million rubles) oil refining (44.8 million rubles) metal ore mining (7.4 million rubles) metallurgy (29.8 million rubles) chemical industry (16.2 million rubles) building materials industry (7.8 million rubles) light industry (0.7 million rubles) food industry (23.9 million rubles) beverage production (3.5 million rubles) tobacco industry (0.6 million rubles) | electronics (36.7 million rubles) electrical industry (6.1 million rubles) transport engineering (22.9 million rubles) electric power industry (82.4 million rubles) metal industry (41.3 million rubles) printing industry (2.9 million rubles) mining services (14.9 million rubles) engineering and repair (7.8 million rubles) production of other finished products (1.3 million rubles) | |
decrease | – | – | |
low value (less than median) | high value (more than median) | ||
Digitalization costs per 1 million rubles of output |
Figure 4. Matrix of the «digital» budget efficiency and the growth rate of production in 2021 (in parentheses the absolute value of the budget for digitalization in 2021)
Source: prepared by the author
Against the background of these industries, digital transformation in the production of medicines, the automotive industry, the production of machinery and equipment, transport engineering, electric power and utilities looks quite effective.
Conclusion
The analysis of «digital» budgets in the Russian industry showed a significant differentiation of industries both in terms of the amount of costs and their structure. Cross-industry analysis showed individual characteristics of industries that are associated with the level of digital readiness and sufficiency of the “digital” budget for a full-scale digital transition. The study also confirmed the following conclusion. If the costs of digitalization do not work to increase efficiency (output volumes, growth rates), then the problems may lie deeper, for example, the discrepancy between the goals of digitalization and business goals, the lack of involvement of management in digitalization and organizational weakness of business processes, low digital culture at the enterprise, etc.
1 Figure 3 shows: 1 – manufacture of leather goods; 2 – manufacture of computers and electronics; 3 – extraction of other minerals; 4 – electricity; 5 – manufacture of finished metal products; 6 – printing houses; 7 – manufacture of vehicles; 8 – manufacture of medicines; 9 – manufacture of machinery and equipment; 10 – mining services; 11 – engineering and repair; 12 – automobile production; 13 – water supply and waste disposal; 14 – furniture production; 15 – electrical equipment production; 16 – manufacture of other products; 17 – production of construction products; 18 – production of beverages; 19 – production of petroleum products; 20 – extraction of metal ores; 21 – production of paper products; 22 – textile production; 23 – production of clothing; 24 – production of chemical products; 25 – food production; 26 – metallurgy; 27 – oil and gas production; 28 – mass production; 29 – tobacco production; 30 – manufacture of wood products; 31 – coal mining.
Sobre autores
Victoria Akberdina
Institute of Economics of the Ural Branch of the Russian Academy of Sciences
Autor responsável pela correspondência
Email: akberdina.vv@uiec.ru
ORCID ID: 0000-0002-6463-4008
Doctor of Economics, Corresponding Member of the Russian Academy of Sciences, Head of the Department of Regional Industrial Policy and Economic Security
Rússia, YekaterinburgBibliografia
- Akberdina, V. V. (2018) Digitalization of Industrial Markets: Regional characteristics. The Manager. Vol. 9. – No 6, – pp. 78–87, https://doi.org/10.29141/2218-5003-2018-9-6-8 (In Eng.).
- Akberdina, V. V., Romanova, O. A. (2021) [Regional Aspects of Industrial Development: A Review of Approaches to the Formation of Priorities and Regulatory Mechanisms]. Ekonomika regiona [Economy of Regions]. Vol. 17, – No. 3, – pp. 714–736, https://doi.org/10.17059/ekon.reg.2021-3-1 (In Russ.).
- Appio, F. P., et al. (2021) Digital transformation and innovation management: A synthesis of existing research and an agenda for future studies. Journal of Product Innovation Management. Vol. 38. – No. 1, – pp. 4–20, https://doi.org/10.1111/jpim.12562 (In Eng.).
- Boev, A. G. (2019) [Theoretical Basis of the Strategy of Institutional Transformations of Industrial Complexes in the Digital Economy]. Modeli, sistemy, seti v ekonomike, tekhnike, prirode i obshchestve [Models, Systems, Networks in Economics, Technology, Nature and Society]. Vol. 3, – pp. 49–61. (In Russ.).
- Carolis, A. D., et al. (2017) A maturity model for assessing the digital readiness of manufacturing companies. In IFIP International Conference on Advances in Production Management Systems, September. Springer, Cham, pp. 13–20, https://doi.org/10.1007/978-3-319-66923-6_2 (In Eng.).
- Correani, A., et al. (2020) Implementing a digital strategy: Learning from the experience of three digital transformation projects. California Management Review. Vol. 62. – No. 4, – pp. 37–56, https://doi.org/10.1177/0008125620934864 (In Eng.).
- Digital transformation in industry: trends, management, strategies. Lectures Notes in Information Systems and Organization. Springer’s Book Series / Ed. V. Kumar, J. Rezaei, V. Akberdina, E. Kuzmin. 2021. – Vol. 44. – 290 p, https://doi.org/10.1007/978-3-030-73261-5 (In Eng.).
- Dolganova, O. I., Deeva, E. A. (2019) [The Company’s Readiness for Digital Transformations: Problems and Diagnostics]. Biznes-informatika [Business Informatics]. Vol. 13. – No. 2, – pp. 59–72, https://doi.org/10.17323/1998-0663.2019.2.59.72 (In Russ.).
- Efimova, E. I., et al. (2021) [The Impact of Digitalization on the Development of Innovation Management]. Upravlenie innovacionnymi i investicionnymi processami i izmeneniyami v usloviyah cifrovoj ekonomiki: sbornik nauchnyh trudov po itogam IV mezhdunarodnoj nauchno-prakticheskoj konferencii [Management of Innovation and Investment Processes and Changes in the Digital Economy: a Collection of Scientific Papers on the Results of the IV International Scientific and Practical Conference, St. Petersburg, October 28–29, Saint Petersburg: Saint Petersburg State University of Economics, pp. 457–462. (In Russ.).
- Evdokimova, E. N. et al. (2020) Cifrovaya transformaciya promyshlennosti: problemy upravleniya, metodologiya ocenki [Digital Transformation of Industry: Management Problems, Evaluation Methodology]. Ryazan: Ryazan Institute of Education Development, 117 p., https://doi.org/10.5281/zenodo.4312719 (In Russ.).
- Galimova, M. P. (2019) [Readiness of Russian Enterprises for Digital Transformation: Organizational Drivers and Barriers]. Vestnik UGNTU. Nauka, obrazovanie, ekonomika. Seriya: Ekonomika [USNTU Bulletin. Science, Education, Economics. Series: Economics]. Vol. 1 (27), – pp. 27–37, https://doi.org/10.17122/2541-8904-2019-1-27-27-37 (In Russ.).
- Kagermann, H. (2015) Change through digitization – value creation in the age of industry 4.0., Management of Permanent Change. Springer Fachmedien Wiesbaden: Wiesbaden, рр. 23–45, https://doi.org/10.1007/9783-65805014-6_2 (In Eng.).
- Kozlov, A. V., Teslya, A. B. (2019) Digital Potential of Industrial Enterprises: Essence, Definition and Calculation Methods]. Vestnik Zabajkal’skogo gosudarstvennogo universiteta [Bulletin of the Trans-Baikal State University]. Vol. 25. – No. 6, – pp. 101–110, https://doi.org/10.21209/222792452019256101110 (In Russ.).
- Lapidus, L. V., Leontieva, L. S., Gostilovich, A. O. (2019) Minimal Digital Basket of Russian Regions for Industrial Transformation]. Gosudarstvennoe upravlenie. Elektronnyj vestnik [Public Administration. Electronic Bulletin]. Vol. 77, – pp. 212–228, https://doi.org/10.24411/2070-1381-2019-10025 (In Russ.).
- Miterev, I. V. (2018) [Digitalization as an External Factor of Innovation Activity at the Enterprise]. Intellektual’nye resursy – regional’nomu razvitiyu [Intellectual Resources for Regional Development]. Vol. 1, – pp. 41–45. (In Russ.).
- Nambisan, S., Lyytinen, K., Majchrzak, A., Song, M. (2017) Digital Innovation Management: Reinventing innovation management research in a digital world. MIS quarterly. Vol. 41. – No. 1, – pp. 1–18. (In Eng.).
- Oztemel, E., Gursev, S. (2020) Literature review of Industry 4.0 and related technologies. Journal of Intelligent Manufacturing. No 31, – pp. 127–182, https://doi.org/10.1007/s10845-018-1433-8 (In Eng.).
- Panfilova, E. E. (2019) [Analysis of Industrial Enterprises’ Readiness for Digital Business Transformation]. Moskovskij ekonomicheskij zhurnal [Moscow Economic Journal]. Vol. 10, – pp. 98, https://doi.org/10.24411/2413-046Х-2019-10086 (In Russ.).
- Schallmo, D., Williams, C. A., Lohse, J. (2018) Clarifying digital strategy – Detailed literature review of existing Approaches. ISPIM Conference Proceedings. The International Society for Professional Innovation Management (ISPIM), Stockholm, Sweden on 17–20 June, рр. 1–21. (In Eng.).
- Soomro, M. A., Hizam-Hanafiah, M., Abdullah, N. L. (2020) Digital readiness models: A systematic literature review. Compusoft. Vol. 9. – No. 3, – pp. 3596-3605. (In Eng.).
- Zakharova, E. V., Mityakova, O. I. (2020) Assessment of the Innovative Potential of an Enterprise Taking into Account the Digitalization of the Economy]. Voprosy innovacionnoj ekonomiki [Issues of Innovative Economy]. Vol. 10. – No. 3, – pp. 1653–1666, https://doi.org/10.18334/vinec.10.3.110601 (In Russ.).
Arquivos suplementares
