CC BY
0UDK 338
Pshychenko Dmitrii
HSE, associate professor, National Research University
«Higher School of Economics» Russian Federation, Moscow
THE IMPACT OF DIGITAL TRANSFORMATION ON THE ECONOMIC
EFFICIENCY OF ENTERPRISES
Abstract: This article examines the impact of digital transformation (DT) on the economic efficiency of enterprises. It studies how the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data analytics enhances productivity, reduces costs, and creates new revenue streams. The analysis covers both direct and indirect economic benefits as well as improvements in decision-making processes. The study highlights the necessity of overcoming technological, organizational, and skill-related challenges to fully realize the advantages of DT, ultimately contributing to long-term sustainability and competitiveness in a dynamic market environment.
Keywords: Digital transformation, economic efficiency, artificial intelligence (AI), Internet of Things (IoT), big data, innovation, productivity.
INTRODUCTION
The integration of digital technologies into all areas of business, defined as DT, fundamentally changes how companies operate and delivers value to customers. It encompasses a wide range of technologies, including big data analytics, artificial intelligence (AI), the Internet of Things (IoT), cloud computing, and blockchain, which contribute to enhanced operational efficiency and the adoption of innovative business models. This transformation represents not only technological progress but also a strategic imperative for organizations seeking to thrive in a rapidly changing market environment. Companies that effectively leverage new technologies are better positioned to optimize their processes, improve customer service, and create new revenue streams. This helps maintain competitiveness in the face of global disruption, where traditional business models become obsolete.
The objective of this study is to evaluate the overall impact of DT on the economic efficiency and competitive positioning of enterprises. The analysis focuses
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on the direct and indirect economic benefits of implementing new technologies in business operations.
MAIN PART. DEFINITION OF DT
The comprehensive integration of digital technologies into all aspects of organizational operations fundamentally transforms business methods. This process extends beyond mere technological modernization, encompassing a strategic restructuring of processes, capabilities, and organizational structures to fully leverage the benefits of digital technologies. According to the 2023 IMD World Digital Competitiveness Ranking, the United States was recognized as the country with the highest digital competitiveness globally (fig. 1).
0 Scores or Q Countries Ш Knowledge, Ш Technology, и Ш Future Readiness
United States Netherlands Singapore Denmark Sweden
Figure 1. World digital competitiveness rankings 2023 - Top 5 countries [1] The IMD World Digital Competitiveness Ranking is formulated based on a comprehensive assessment of various quantitative and qualitative criteria across several components. Knowledge encompasses education and training systems, the quality of talent, and the capacity for technological innovation. Technology refers to the availability and penetration of digital technologies, the reliability of technological infrastructure, and the level of technology adoption by businesses and individuals. Future Readiness, the third dimension, evaluates the flexibility and preparedness of economies for digital transformations, with a focus on adaptive approaches, business agility, and IT system integration. Data for these parameters are collected from a wide range of sources, including national statistics, international organizations, and surveys conducted among business executives.
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Several theoretical models and frameworks provide a structured understanding of DT and guide its implementation:
• The Technology-Organization-Environment framework, for instance, posits that DT is influenced by technological, organizational, and environmental contexts. This model underscores the necessity for alignment between an organization's technological capabilities, internal processes, and external market conditions to achieve successful digital transformation.
• The Digital Transformation Framework emphasizes the significance of leadership, culture, and employee engagement in driving digital initiatives. It suggests that a clear vision, robust leadership, and a culture of continuous learning and adaptation are essential for fostering a digital mindset within the organization.
• The Dynamic Capabilities Framework highlights the role of an organization's ability to integrate, build, and reconfigure internal and external competencies to address rapidly changing environments. This framework posits that digital transformation requires not only the adoption of new technologies but also the development of new capabilities to effectively respond to market dynamics and technological advancements.
• The Business Model Innovation framework focuses on how digital transformation can lead to the creation of new business models, offering novel value propositions and revenue streams. It emphasizes the iterative process of experimenting, learning, and adapting business models in response to digital opportunities and challenges.
The integration of digital technologies significantly transforms business operations, impacting all aspects of an organization's activities. This process is based on comprehensive models and frameworks that emphasize the alignment of technological capabilities with organizational processes and market conditions.
ECONOMIC IMPACT OF DT
Digital transformation has emerged as a pivotal driver of economic growth and enterprise efficiency across various industries. By integrating advanced technologies such as AI, machine learning, the IoT, and advanced data analytics into their
operations, businesses can significantly enhance their productivity, reduce costs, and generate new revenue streams. The economic benefits of DT can be categorized into direct and indirect impacts, each contributing to the overall financial health and competitive advantage of organizations (table 1).
Table 1. Economic benefits of digital transformation [2,3]
Category Benefit Description
Direct economic benefits Cost reduction Lower operational costs through efficiency improvements and automation.
Revenue growth Increased revenue through new digital business models and enhanced market reach.
Indirect economic benefits Productivity improvement Enhanced workforce productivity through better tools and processes.
Better decisionmaking Data-driven insights leading to more informed and effective decision-making processes.
Operational agility Increased flexibility and speed in responding to market changes and customer demands.
Innovation and agility Fostering a culture of continuous innovation and adaptability.
According to the author, the primary factors driving digital transformation include the rapid adoption of AI and the IoT, leading to increased demand for industrial robots in manufacturing. Additionally, there is significant growth in government investments in additive manufacturing, the implementation of blockchain technology in the processing industry, and the emergence of specialized training programs in educational institutions, alongside the creation of new professions.
The economic performance of enterprises is profoundly impacted by digital transformation, which significantly enhances their operational efficiency and competitive advantage. The World Economic Forum's 2023 Annual Report details how widespread adoption of digital technologies has significantly improved operational efficiency and productivity across multiple industries. The Reskilling Revolution initiative, for example, aims to provide 1 billion people with better education, skills, and economic opportunities by 2030 [4]. As of 2023, it has already reached over 350 million individuals worldwide, thereby enhancing productivity and economic potential through improved labor market participation and upskilling efforts.
The EDISON Alliance is another significant initiative aimed at expanding access to digital technologies by providing affordable digital services to underserved populations. According to the EDISON Alliance Impact Report of 2024, this initiative has positively impacted over 784 million people, significantly surpassing the 454 million reported in 2023. Digital financial services provided through this initiative have integrated over 463 million unbanked and underbanked individuals into the financial system, representing a 65% increase from the previous year. Similarly, the adoption of digital healthcare services has reached 141 million people, a 57% increase [5]. The initiative's emphasis on digital literacy has impacted over 102 million people, enhancing their digital skills and usability of digital services by 96% from the previous year. These efforts underscore the importance of digital inclusion as a catalyst for economic resilience and sustainable development, aligning with the United Nations Sustainable Development Goals.
The World Economic Forum's 2023 report, «Global Lighthouse Network: Adopting AI at Speed and Scale», highlights the substantial economic benefits of digital transformation on enterprise efficiency. Companies that have integrated advanced technologies such as AI and ML into their operations have seen significant improvements. An example is DHL Supply Chain in Memphis, Tennessee. Facing a growing e-commerce market and seasonal fluctuations driven by retail promotions and a consumer shift from offline to online orders, DHL established a strategic Fourth Industrial Revolution site equipped with a control tower for centralized planning and execution oversight to manage and control end-to-end operations. The integration of robots, analytics, and a flexible staffing solution has led to remarkable outcomes, including a 50% reduction in overtime, a 57% reduction in shipment cycle time, and a 290% increase in capacity, achieving a 28% compound annual growth rate (CAGR) since 2019. The site has also become a primary training hub for the global adoption of new technologies, with additional benefits such as a 25% reduction in absenteeism, a 65% improvement in inventory availability, a 34% increase in productivity, a 38% boost in throughput, and a 71% reduction in pick cycle time [6].
IMPACT ON BUSINESS OPERATIONS AND COMPETITIVENESS
In the manufacturing industry, some of the most in-demand digital technologies include automation systems for production and business processes, digital design and modeling systems, Big Data and Analytics, AI and ML, the IoT, Cloud Computing, industrial robots, and digital twins [7]. These technologies are essential for modern enterprises aiming to enhance efficiency, reduce costs, and increase competitiveness.
General Electric (GE) has integrated advanced automation technologies across its manufacturing facilities to enhance operational efficiency and productivity. The implementation of these systems allows for real-time monitoring and predictive maintenance, leading to significant reductions in downtime and operational costs. GE's technology currently helps generate approximately 30% of the world's electricity, highlighting its substantial role in the global energy sector [8]. This comprehensive adoption of automation technologies has resulted in substantial economic benefits, including increased production capacity, improved product quality, and enhanced overall competitiveness in the global market.
An example of a manufacturing enterprise utilizing digital design and modeling systems is Corning Inc., a company specializing in materials science, particularly in glass, ceramics, and related advanced technologies. These innovations led to a remarkable 50% improvement in filling line efficiency and a 30% reduction in carbon dioxide-equivalent emissions associated with vial manufacturing [9]. These advancements enhance economic efficiency by reducing operational costs and improving productivity while also contributing to Corning's sustainability goals by minimizing environmental impact.
Teck has integrated advanced data analytics across its operations to enhance efficiency and sustainability. By leveraging Big Data, Teck has optimized resource extraction processes, resulting in a significant increase in operational efficiency and a reduction in energy consumption per unit of production. Predictive analytics allowed for more precise maintenance scheduling, which reduced unplanned downtime, significantly cutting maintenance costs. Teck's analytics initiatives contributed to a 15% improvement in operational efficiency and a 10% decrease in energy
consumption per unit of production, underscoring the economic and environmental benefits of Big Data integration [10].
Honeywell International Inc., a diversified technology and manufacturing company, has effectively integrated AI and ML to enhance its operational efficiency and economic performance. The implementation of AI-powered quality control systems has improved defect detection accuracy by 30%, resulting in higher product quality and reduced waste. These technological advancements have significantly impacted Honeywell's profitability (fig. 2).
40 000 35 000 30 000 25 000 20 000 15 000 10 000 5 000 0
2020 2021 2022 2023
Figure 2. Honeywell's annual revenue, billion dollars [11]
Honeywell's revenue has steadily increased from $32.637 billion in 2020 to $36.662 billion in 2023, demonstrating the substantial financial benefits of its digital initiatives.
Siemens has effectively utilized the IoT and Cloud Computing to enhance its competitiveness in the industrial sector. By leveraging their MindSphere IoT platform hosted on AWS, Siemens connects and monitors industrial equipment, enabling realtime data collection and analysis. As a result of these digital transformation efforts, Siemens saw an increase in orders from €89 billion in 2022 to €92.3 billion in 2023, demonstrating the substantial impact of IoT and cloud computing on improving operational efficiency and market competitiveness [12].
Bosch has implemented advanced industrial robots and digital twin technology across its manufacturing operations. Industrial robots at Bosch perform repetitive and precision tasks, significantly increasing production efficiency and
reducing labor costs. Digital twins create virtual replicas of physical manufacturing processes, enabling real-time monitoring and predictive analytics. This allows Bosch to optimize production schedules, identify and mitigate bottlenecks, and improve overall equipment effectiveness. As a result, Bosch has seen a substantial improvement in operational efficiency and product quality, leading to increased competitiveness in the market.
CHALLENGES AND BARRIERS OF DIGITAL TRANSFORMATION
Digital transformation promises significant benefits for organizations, including enhanced efficiency, improved customer experiences, and greater innovation. However, the journey towards digital transformation is fraught with various challenges and barriers. These can be broadly categorized into technological challenges, organizational resistance, skills and talent gaps, and regulatory and security issues. Understanding and addressing these challenges is critical for the successful implementation of digital transformation initiatives (table 2).
Table 2. Challenges and solutions in digital transformation [13,14]
Category Challenges Solutions
Technological сhallenges Integration of legacy systems; scalability issues; data management complexities Develop a phased integration strategy; implement scalable cloud solutions; use advanced data analytics tools
Organizational resistance Resistance to change; lack of digital culture; misalignment of goals Foster a culture of innovation; conduct change management programs; align digital strategies with business objectives
Skills and talent gap Shortage of skilled professionals; rapidly evolving technology landscape Invest in continuous training and development; partner with educational institutions; utilize online learning platforms
Regulatory and security issues Compliance with regulations; data privacy concerns; сybersecurity threats Implement robust compliance frameworks; adopt comprehensive data protection measures; enhance cybersecurity infrastructure
Despite the significant benefits associated with digital transformation, such as enhanced operational efficiency and innovation, certain industries necessitate the cautious implementation of new technologies. For instance, the healthcare and financial sectors require meticulous attention to regulatory compliance and data security due to the sensitivity of their operations. Similarly, industries such as
manufacturing and critical infrastructure must prioritize the reliability and safety of integrated systems to prevent operational disruptions.
CONCLUSION
DT significantly enhances the economic efficiency of enterprises by integrating advanced technologies such as AI, IoT, and big data analytics into business operations. These technologies streamline processes, reduce costs, and create new revenue streams, thereby improving overall productivity and competitiveness. However, successful DT requires overcoming challenges related to technological integration, organizational resistance, and skill gaps. Companies that effectively navigate these challenges can achieve substantial economic benefits, including cost reductions, revenue growth, and improved decision-making capabilities. As demonstrated by leading organizations, the strategic implementation of digital technologies is a critical driver of economic performance and long-term sustainability in today's dynamic market environment.
REFERENCES
1. World digital competitiveness rankings 2023 / IMD // URL: https://www.imd.org/centers/wcc/world-competitiveness-center/rankings/world-digital-competitiveness-ranking/ (date of application: 20.05. 2024)
2. Joel O. S. et al. The impact of digital transformation on business development strategies: Trends, challenges, and opportunities analyzed // World Journal of Advanced Research and Reviews. 2024. ^ 21. №. 3. Q 617-624.
3. Sui X. et al. Digital transformation and manufacturing company competitiveness // Finance Research Letters. 2024. ^ 59. Q 104683.
4. Annual Report 2022-2023 / WEF // URL: https://www.weforum.org/publications/annual-report-2022-2023/ (date of application: 15.05. 2024)
5. EDISON Alliance Impact Report 2023 / EDISON // URL: https: //www3 .weforum.org/docs/WEF_EDIS0N_Alliance_Impact_Report_2024. pdf (date of application: 16.05. 2024)
6. Global Lighthouse Network: Adopting AI at Speed and Scale / WEF // URL:
https://www3.weforum.org/docs/WEF_Global_Lighthouse_Network_Adopting_AI_a t_Speed_and_Scale_2023.pdf (date of application: 21.05. 2024)
7. Meena A., Dhir S., Sushil S. Coopetition, strategy, and business performance in the era of digital transformation using a multi-method approach: Some research implications for strategy and operations management // International Journal of Production Economics. 2024. T. 270. C. 109068.
8. Sustainability report / General Electric // URL: https://www.gevernova.com/sustainability/documents/Sustainability/ge2022 sustaina bility report ada.pdf (date of application: 23.05. 2024)
9. 2023 Corning Reports / Corning // URL: https://www.corning.com/worldwide/en/corning-reports/2023-corning-reports (date of application: 25.05.2024)
10. Teck's 2023 Sustainability Report / Teck // URL: https://www.teck.com/media/2023-Sustainability-Report.pdf (date of application: 25.05. 2024)
11. Honeywell 2023 Sustainability Report / Honeywell // URL: https://www.honeywell.com/us/en/sustainability (date of application: 26.05. 2024)
12. Siemens Annual Reports / Siemens // URL: https://www.siemens.com/global/en/company/investor-relations/events-publications-ad-hoc/annualreports.html (date of application: 28.05.2024)
13. Kuznetcov I.A. Scalable architectures for backend development: current state and prospects // Modern scientific researches and innovations. 2024. № 2 [Electronic journal]. URL: https://web.snauka.ru/en/issues/2024/02/101564 (date of application: 28.05.2024)
14. Wang D., Shao X. Research on the impact of digital transformation on the production efficiency of manufacturing enterprises: Institution-based analysis of the threshold effect //International Review of Economics & Finance. - 2024. - T. 91. - C. 883-897.
