Digital technologies as catalysts for sustainable economic growth and innovation: algorithmic models and applications

The article is aimed at reviewing and clarifying the theoretical and methodological aspects of forming the concept of "innovation potential of enterprise". To assess the state of development of the innovative potential of Ukrainian enterprises in the context of digital transformation. To substantiate the feasibility of using a digital transformation strategy to achieve the set goals in the current competitive environment. The level of development of the innovation potential of Ukrainian enterprises was measured over a number of years (2010-2021). Methodology. The article uses economic and abstract and logical research methods in combination with methods of analysis, synthesis and graphical representation. This made it possible to assess the level of development of the innovative potential of Ukrainian enterprises according to the main international rating and macroeconomic indicators. Results. The results of the assessment of the development of Ukraine's innovation potential revealed that the cost of implementing innovative developments in the country's GDP is decreasing every year. It was found that Ukrainian enterprises are slowly diversifying their production towards knowledge-intensive goods and services. This slow state of innovation is reflected in global indices, where Ukraine ranks among lower-middle-income countries. The main reason for this situation is the limited state policy in the field of innovation. It is established that at the state level, the development of innovation potential in the context of digital transformations is formed within the framework of scientific research and high-tech start-ups. Practical implications. In order to increase the innovation activity of enterprises and grow their innovation potential, it is advisable to change the values and guidelines of strategic management. In these conditions, the digital transformation strategy, which is considered as part of the overall communication strategy of the enterprise, becomes relevant for application. In the course of implementing the digital transformation strategy, effective communication interaction between the enterprise and its customers is ensured, and a qualitatively new model of communication processes management is formed and applied, taking into account digital technologies. Value/originality. Research on the development of innovation potential in Ukraine proves the need to use a digital transformation strategy as an effective modern tool for managing an enterprise in the context of digital transformation.

In recent years, driven by digital intelligence technologies such as big data, cloud computing, The Internet of Things and artificial intelligence, various industries are accelerating their digitalization and how to effectively use digital technologies to enhance the position of each industry in the global value chain has become a practical problem that needs to be studied. Although digital technologies are widely used in manufacturing industries, few studies have discussed in depth the application of digital technologies in logistics enterprises, especially how to provide guidance and support for the digital transformation of logistics enterprises with the help of the digital intelligence technology lexicon. In order to promote the digital transformation of logistics enterprises, the study constructs a digital intelligence technology dictionary for logistics enterprises based on text mining technology to improve the efficiency and quality of digital transformation of logistics enterprises. The study used Python crawler technology to crawl the annual reports of logistics enterprises from 2012-2021, as well as the relevant textual information about logistics from the State Council. Subsequently, the study extracted keywords closely related to digital and intelligent transformation through keyword extraction text mining technology, and at the same time, combined with experts' research results on digital transformation, further analyzed and summarized the keywords to build a digital intelligence technology dictionary for logistics enterprises. The content of this digital intelligence technology dictionary includes key technologies for the digital and intelligent transformation of logistics enterprises, aiming to provide support and reference for the digital transformation of logistics enterprises in order to promote digital upgrading and the intelligent transformation of the industry.

Digital Transformation is a global phenomenon, capturing the attention in every industry and spurring major investment. However, digital transformation is not a single objective, but a multi-faceted approach depending on specific industrial goals and their digital maturity. Digital transformation is the way of change from a monolithic business approach to fully digitalized business strategies, resulting in digital transformation a key economic objective and a major success factor of a comprehensive corporate transformation. In addition to digital technologies, processes, and procedures, and aside from that also skilled employees required keeping pace in reacting quickly to changes in order to adapt to necessary needs and opportunities in the markets, to drive growth and innovation. In the first of the four industrial evolutions, steam power was a disruptive technology that has changed the working capabilities. In the second it was the assembly line and in the third the computer. Today, in the fourth industrial evolution, everything is digital. Intelligent digital technologies such as Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), Big Data and Analytics, Automated Robots, and others are accelerating a profound transformation in the way industries work and do business. However, beside digital transformation a second transformation narrative occur, which refers to the circularity of business models, based on the foundation, that sustainability, and specifically circularity is a path to an environmentally friendly production and profitability. This business model is not yet widespread everywhere, but economic, social, and technological changes are enabling circularity be enticing. Given this fact, circular economy makes sense not only from an environmental perspective, it’s also likely the way forward to the central goal of waste reduction in production, and also initiating a prosperous environmentally friendly business strategy. In this context, digital transformation can enhance circular economy and circular business models tantalizingly as enabler. Doing so, the technologies used beside circularity byproduct design, production, maintainability and for product life extension, are enabled by data streams about condition, location, availability of required resources. Furthermore, digital transformation technologies enable repairability, reusability of materials, recovery and recycling of materials used and others in circular economy. In this sense, the paper introduces the fundamental background of both transformation narratives in detail with their special capabilities, and also explains their pros and cons and potential applications.

Digital technologies are fundamentally transforming the way businesses operate. Digital insurance holds significant growth potential and promising prospects for development. The insurance industry is on the cusp of significant technological changes. Therefore, the objectives outlined in this article are to define the essence of digital insurance and its advantages, characterize trends and development prospects, and describe the challenges and strategies for optimizing digital progress in insurance. Digital insurance entails the digitization of all insurance operations and replacing physical presence in insurance with online interactions. Digital insurance, known as InsurTech, combines traditional understanding of insurance with 21st-century technologies. Artificial intelligence (AI) can be used to analyze large volumes of data for better risk assessment and setting insurance premiums. Blockchain technologies can be used to create secure and transparent insurance contracts. Internet of Things (IoT) devices, such as smartwatches or vehicles, can provide real-time data to aid in risk assessment and insurance claim monitoring. Mobile applications and web platforms can provide convenient access to insurance services and informa- tion for customers. The most significant advantages of insurance digitalization will manifest in the following ways: Increased efficiency and productivity; Improved customer service ;Access to new markets; Proactive risk management; Reduction of fraud. Current trends in digital insurance include the utilization of Big Data, Artificial Intelligence (AI), and the Internet of Things (IoT) technologies. Digital insurance has significant growth potential. The prospects for the development of digital insurance in Ukraine include: Development of digital infrastructure; Development of the fintech industry; Legislative initiatives; Connected insurance. However, for successful development of digital insurance in Ukraine, it is necessary to overcome certain challenges, including: Data privacy issues; Cybersecurity; Regulation; Integration challenges; Change of corporate culture and skills. Three key strategies have been identified to optimize digital progress in the insurance sector: The importance of digital transformation for business success, yet the fear of fully unleashing its potential. Successful investments in digital self-service platforms and robotic process automation. Understanding the necessity for insurers to adopt a new approach to workforce reorganization that promotes genuine digital thinking within the organization. The main obstacle for insurers in becoming digital organizations is change management. Digitalization of the insurance industry provides significant opportunities for the development of this type of entrepreneurial activity, offering advantages for both insurance companies and clients.

The digital transformation and digital technologies find ample application in service as well as in manufacturing. Advances in digitalization and digital technology adoption encourage service sectors to incorporate new digital technologies into their processes to increase efficiency and productivity. The trend towards up-to-datedness and remote control mechanisms increases service industries' awareness of digital technologies in the era of Industry 4.0 and Society 5.0. A transparent and instant management approach with real-time data becomes possible with digital innovation in service. In the digital ecosystem, personalization is more likely to be possible if the increasing diversity in demands for a particular product/service is disruptive. In these collaborative platforms, the prosumer is at the center of the business and acts as designer, customer and consumer. In this digital ecosystem, the consumer is involved in the design phase at the beginning of the process. A new business model is required due to the overall digitalization of the organization. After talking about the digital revolution and transformation, traditional tools for customer demand/relationship management, sales marketing and operations should be examined. The Internet of Things (IoTs), cloud computing, blockchain infrastructure, and business intelligence, are the basic components of digital transformation. This chapter mainly focuses on the digital transformation of the service industry, service innovations, service business platforms and service business model transformation using digital tools. All these digitalization efforts are made possible by innovation in business models. This new digital business model innovation is defined as a unique and significant change in the fundamental elements of the enterprise's business model and value chain architecture. BM analyzes and redesigns operations, content, structure and management to create value by taking advantage of business opportunities. Especially in an environment where organizations and operations, data and processes become open, the concepts of participation in processes and collaboration come to the fore. Sharing economies and platforms where everyone meets on common ground constitute today's new business models. Platform businesses are shared networks and interfaces that create a common structure in which flexibility in design can be achieved, fixed costs can be saved, and efficiency can be increased. Platforms are divided into two: internal and external, and internal platforms are defined as areas where cooperation is carried out within the business or with the business and suppliers for a specific purpose. The study revealed that the labor-intensive and competitive service sector could not avoid this trend. Within the scope of this section, the concept is intended to be concretized through platform works and sample applications. In summary, all this change has caused physical worlds to be moved to small screens and virtual worlds. No matter how perfect the resulting physical product is, it will always be incomplete unless it is supported by accurate and complete services. In today's cyber-physical environment, perfect service platforms will be able to meet the needs and produce real-time and creative solutions to customer demands. These solutions can be provided through innovative and smart technologies such as artificial intelligence and business intelligence. It can be stated with certainty that service businesses that invest in these technologies will stand out from their competitors.

The term "digital transformation" describes how digital technologies are incorporated into every aspect of governance, business, and society, radically altering how companies function and provide value. The United Nations Sustainable Development Goals (SDGs) list several global difficulties that the world must overcome, and digital transformation is a key factor in advancing these goals. This study examines how digital technologies, including cloud computing, big data, artificial intelligence (AI), and the Internet of Things (IoT), can help achieve the SDGs. Several SDG targets are being directly addressed by the growing use of digital tools to increase accessibility, efficiency, and sustainability in important industries like infrastructure, healthcare, education, and energy. The study emphasizes how digital solutions improve healthcare delivery (SDG 3) through telemedicine and AI-based diagnostics, provide access to high-quality education (SDG 4) through e-learning platforms, and reduce poverty (SDG 1) through financial inclusion. Additionally, it looks at how breakthroughs like smart grids and renewable energy technologies encourage the use of clean energy (SDG 7) and how digital solutions in infrastructure and industries (SDG 9) support innovation and sustainable growth. The study also addresses the difficulties associated with digital transformation, including the need for supportive legislative frameworks, the digital divide, infrastructure constraints, and cybersecurity issues. In the end, the report makes the case that, even while digital transformation has enormous potential to hasten the SDGs' achievement, it is imperative to remove obstacles to its broad acceptance. To make sure that digital transformation promotes fair and sustainable growth for everybody, it urges international cooperation, investments in digital skills, and the creation of inclusive, progressive policies.

Currently, the widespread use of digital technologies (DTs) in the oil-gas industry is shaping an environment referred to as digital oil-gas ecosystems. The key digital solutions used in the oil and gas sector include artificial intelligence, machine learning, the Internet of Things, cloud computing, smart materials, digital twins, robotics, drones, blockchain, and other emerging technologies. The article main aims to research the existing condition of digital transformations in oil and gas sector, analyze utilization capabilities of DTs and potential risks. The literature review shows that digital transformation is widely used to effectively organize oil and gas industry activities and increase management effectiveness. Despite the implementation of DTs, determining the next steps to be taken due to technological changes remains one of the key challenges. The article studies the directions of digital transformation in the oil and gas industry and analyses development strategies in this direction in thematic research and case studies. The reasons for the effectiveness of DTs include increasing production efficiency, lower production costs, faster management decision-making, improving the quality of applied solutions, and so on. The article reviews selection of DTs in oil-gas sector based on a multi-criteria decision-making method and conducts experimental evaluation. Risks caused by digital transformation are studied, advantages and disadvantages of development of DTs in oil and gas industry are demonstrated. Considering the findings of existing studies, along with the associated advantages and potential risks, there is a clear need to further explore the application of DTs in complex fields such as the oil and gas industry. Keywords: digital transformation; digital technology; oil-gas industry; artificial intelligence; internet of things; digital platform.

The article examines the process of digital transformation, which plays an important role in the national economy, from the business processes of an individual enterprise to state strategies and development policies. Digital transformation processes play an important role in the national economy, from the business processes of an individual enterprise to state strategies and development policies. The country has additional advantages due to the successful functioning of the digital economy sector. Digital technologies are changing certain economic processes at the current stage of development of the world economy. New financial instruments that arise as a result of the development of financial technologies give investors great opportunities to reduce risks and increase profitability. Thanks to the use of the latest advances in digital technologies, the infrastructure necessary for the implementation of investment projects is improved, the investment process is simplified, and the digital economy plays a significant role in investment processes. Proper government regulation is necessary for the effective operation of investment processes, therefore it is important to research and analyze the experience of digital investment transformation in different countries, as well as to develop a detailed state strategy for the development of the digital economy. The foundations of the national investment policy and the orientation of the policy towards the growth of the national economy are revealed. The purpose of the article is to study the foreign and domestic experience of investing in the development of digital infrastructure.. For the successful implementation of the digital transformation strategy, the state must actively stimulate investments. One of the important steps is attracting investments aimed at the development of digital infrastructure. To achieve this goal, the state's strategy should be based on such principles as access to digital technologies, databases and the results of the latest research, as well as ensuring their reliability and protection. In addition, funding from the state budget is important, which will ensure an adequate level of protection of intellectual property rights, confidential information and freedoms in the digital environment.

Introduction. In the modern, constantly evolving world, companies face the challenge of adapting to new technologies. Digital transformation has become an integral part of success, as it allows companies to enhance their efficiency, productivity, and competitiveness in the global market, and serves as one of the main trends in the development of the domestic economy. The emergence of digital technologies plays a significant role in the socio-economic development of Ukraine and directs its innovative potential towards the necessary direction, facilitating the establishment of competitive positions for enterprises in the market. The implementation of information technologies in the real sector of the economy ensures overall economic growth and the development of the IT industry as a production chain in particular. Such modernization of the industry contributes to the emergence of new goods and services in the domestic market, improves the economic health of enterprises, and increases their competitiveness. Experts studying the main issues of digital economy development in Ukraine amid global transformational processes assert that digital transformation can serve as a catalyst for modernizing the economy and overcoming the crisis. They also believe that an important prerequisite for the establishment and development of the digital economy is the development of human capital and artificial intelligence, which affects the digitization of production. Purpose. The goal of this work is to investigate and analyze the processes of digital transformation in company management, with a focus on the situation in Ukraine. The article aims to determine the current state of digital transformation in various countries, including Ukraine, the USA, Germany, China, and the United Kingdom, through the analysis of the indicators of digital technology implementation. It also seeks to highlight the key components of digital management, such as ERP systems, CRM systems, analytical platforms, cloud technologies, and process automation. Method (methodology). To achieve the stated goal, general scientific and statistical methods, as well as analytical procedures and tools, were utilized, including multifactor analysis of statistical data and indicators of digital technology implementation and digital transformation in various countries around the world. The results. The impact of digitization on enterprise management in the context of modern digital transformations has been investigated. The current state of digital transformation in various countries, including Ukraine, the USA, Germany, China, and the United Kingdom, has been analyzed through the indicators of digital technology implementation. Specific examples of successful digital technology implementation in different countries and companies have been examined to understand which practices can be applied in Ukraine. The study established that digital technologies and innovative solutions are among the most important factors in managing the development of global business, including Ukrainian business. It was found that achieving sustainable development goals is impossible without the digital transformation of the national economy. Enterprises that utilize advanced digital technologies and implement creative and innovative solutions have a greater adaptive capacity to current challenges and can ensure sustainable development in an unfavorable competitive environment. Therefore, this article proposes specific steps to strengthen Ukraine's positions in the field of digital transformation.

In today's fast-paced and highly competitive business environment, digital transformation has emerged as a crucial driver of organizational success. This paper presents a comprehensive review of the intersection between digital transformation and business model innovation, examining the impact and implementation strategies associated with this transformative process. The study begins by elucidating the concept of digital transformation and its significance in reshaping traditional business models. It explores how advancements in digital technologies, such as artificial intelligence, big data analytics, and the Internet of Things, have revolutionized various aspects of business operations, including customer engagement, operational efficiency, and revenue generation. Furthermore, the paper critically evaluates the impact of digital transformation on business model innovation, emphasizing the need for organizations to adapt and evolve in response to changing market dynamics and consumer preferences. Through a systematic analysis of relevant literature and case studies, the study highlights the key drivers, challenges, and opportunities inherent in leveraging digital technologies to drive business model innovation. Moreover, the paper examines different implementation strategies adopted by organizations to effectively integrate digital transformation initiatives into their existing business models. It discusses the importance of strategic planning, organizational culture, and leadership commitment in driving successful digital transformation initiatives. Overall, this critical review contributes to a deeper understanding of the role of digital transformation as a catalyst for business model innovation. It provides valuable insights for practitioners, policymakers, and researchers seeking to navigate the complex landscape of digital disruption and capitalize on emerging opportunities for organizational growth and competitiveness.

Designing digital health applications for climate change mitigation and adaptation.

Bled eConference, organized by University of Maribor, Faculty of Organizational Sciences, has been shaping electronic interactions since 1988 and is celebrating its 30th anniversary in 2017. Bled eConference is the oldest, most traditional and well renowned conference in the field. It attracts speakers and delegates from business, government, information technology providers and universities and is the major venue for researchers working in all aspects of “e”. The theme of this year’s conference is dedicated to “Digital Transformation – From Connecting Things to Transforming Our Lives”. The evolution of digital technologies and solutions (e.g. Internet of things, mobile technology, social media, cloud and high performance computing, artificial intelligence and advanced machine learning, virtual and augmented reality, big data & big data analytics, service architecture, digital technology platforms, 3D printing, robotics etc. …) has significantly impacted on the way how business is conducted and had big implications on our lives. The nowadays digital economy calls for transformation of businesses, governments, education and societies as whole. It also calls for enabling policies and politics for cross border and global digital business. Digital transformation is reflected in the organizations’ ability of comprehensive transformation of business activities, processes, competencies and business models in order to take advantage of digital technologies. Digital technologies require changes in our mind set, culture and functioning and have strategic impact on both the organization itself and its business ecosystems. In this year’s conference, we address various aspects of digital transformation and provide directions and guidelines for organizations to overcome challenges on their way of successful digital transformation. Themes covered in the papers of these proceedings are focused to digital transformation challenges, opportunities and cesses, furthermore to business model innovation, social media and big data analytics implementation, e-health, digital wellness and wellbeing experiences, new applications and organizational models, and novel approaches and cases in education in digital economy.

Introduction. In higher education, the issue of using digital technologies that have already proved their value in other areas of social life (big data, digital libraries, the Internet of Things, etc.), and those that have recently become publicly available and still are rarely used in the education system (but are sure to be used in the future) is gaining relevance nowadays. The latter include the artificial intelligence, with ChatGPT 4.0 neural network being one of its types. In Russia, the need to implement the artificial intelligence (AI) is directly stated in the Executive Order of the President of the Russian Federation No. 490 of October 10, 2019, where the National AI Development Strategy for the period until 2030 has been approved. The Russian Federation Government Directive No. 3759-r “On Approval of the Strategic Direction in the Field of Science and Higher Education Digital Transformation” of December 21, 2021 emphasizes that the goal of digital transformation is to achieve a high level of “digital maturity” in higher education organizations, scientific organizations and the responsible sectoral body of federal executive power. The above regulatory requirements induce the research on the prospects of AI technology implementation in educational institutions of all types, including law faculties. The objective of the research is to analyse the organisational, legal and ethical aspects of using the artificial intelligence and justify (on an example of ChatGPT) the advantages and threats of integrating the neural networks in the study process at law faculties of Russian universities.Materials and Methods. In the research, the commonly accepted in Russia methods of scientific cognition were used: the dialectical method, analysis, synthesis, historical case-specific method, logical, comparative legal, systemic methods, and others.Results. In the frame of the research, the theory and practice of using the artificial intelligence in educational process at law faculties have been analysed on an example of ChatGPT neural network. The need of embedding into the curriculum (e.g., at Master's level) the special academic courses that present the features of using the artificial intelligence in juridical practices has been justified. The advantages and threats of using the artificial intelligence, possible regulations for its use in the study process have been identified. Ethical issues of using the artificial intelligence have been investigated, and the experience of various Russian and foreign universities that accept its usage has been summarised.Discussion and Conclusion. Humanity is on the threshold of a new industrial revolution, therefore it is impossible to hinder the development of artificial intelligence any longer. Under the influence of ChatGPT, not only the concept of higher education and a list of teacher and student competencies will change in the nearest future, but also the very understanding of ethics, acceptability and parameters of using the artificial intelligence and other digital technologies. The ideology and philosophy of higher education will change, which will entail legal, methodological, technical and other consequences resulting in adoption of the new digital-reality-related amendments to the Russian Law on Education. The countries where a conservative approach to the new digital educational technologies prevails, will be lagging behind the advanced countries of the world. Formation of a new digital model of graduate’s competencies will happen against the background of other social life changes, including the use of the Internet of Things, unmanned aerial vehicles, robots, artificial intelligence, big data, nanotechnology and many other things. Although the majority of these innovations are not directly related to law, their use will require a legal framework, and lawyers competent in resolving digital disputes will be needed. This is precisely why digital technologies should be integrated into education and taught to students of law faculties.

The possibilities of applying modern digital technologies for developing territorial communities and regions within Ukraine’s national economy have been explored. The impact of artificial intelligence on the development of various levels of economic systems has been characterized. The level of digital readiness of regions and cities in Ukraine has been analyzed. The digital transformation model of territorial development within the national economy has been described. The necessary characteristic features of an effectively formulated development strategy for territorial communities have been identified. Specific directions for Smart City projects based on electronic systems have been outlined. Therefore, studying the digital transformation model of territorial development determines the need to adapt modern territories to the requirements of the modern digital economic environment. Digital transformation is a strategic management tool and an integral part of sustainable development strategies at different levels of economic systems. It is essential to define that the digital transformation of territorial development in the system of the Ukrainian national economy encompasses not only the introduction of new technologies but also the change of management approaches, interaction between stakeholders, and the development of digital infrastructure. Integrating digital technologies into various spheres, such as education, healthcare, economy, and communication, becomes critical for supporting innovative development. The primary purpose of digitalization processes in the territorial development system is to increase the competitiveness of regions and ensure their adaptation to modern economic challenges. Implementing intelligent management systems, data analysis, and artificial intelligence contributes to optimizing various spheres of territorial development. In addition, citizens’ interaction and participation in decision-making processes become more transparent and effective through digital tools. In general, the digital transformation model of territorial development is a crucial guideline for ensuring sustainable, innovative, and harmonious growth of regions, territorial communities, and the national economy in the modern world. Keywords: digital technologies, artificial intelligence, digital transformation model, territorial development, territorial communities, regions, national economy, Smart City.

The rapid expansion of digital technologies has transformed the structure of modern innovation ecosystems and reshaped the mechanisms through which economic growth and technological productivity are achieved. This study investigated the role of data-driven innovation ecosystems in accelerating economic growth through strategic technology adoption, with particular emphasis on data analytics capability, digital infrastructure availability, research and development investment, and digital platform integration. A quantitative longitudinal research design was employed using a dataset comprising 180 observations across 15 countries and six major economic sectors between 2012 and 2023. The sectors included manufacturing, financial services, digital commerce, healthcare technology, telecommunications, and public digital services. Descriptive and inferential statistical analyses were conducted using regression modeling to evaluate the relationships between digital transformation variables and innovation productivity indicators. The empirical results revealed that data analytics capability exhibited the strongest effect on innovation productivity, with a standardized regression coefficient of β = 0.48 (p < 0.001), indicating that higher analytical capacity significantly improved innovation performance across sectors. Digital infrastructure availability also demonstrated a strong positive influence on economic productivity with β = 0.41 (p < 0.001), highlighting the importance of connectivity networks, cloud computing platforms, and digital communication systems in supporting technological development. Research and development investment showed a statistically significant but moderate effect (β = 0.28, p = 0.002), confirming that financial commitment to research remains a crucial component of innovation-driven growth. The regression model explained 64% of the variation in innovation productivity (R² = 0.64), suggesting that integrated digital technology adoption significantly shapes innovation ecosystem performance. Sectoral analysis further indicated that digital commerce and financial services recorded the highest digital adoption scores (82.4 and 79.8 respectively) and demonstrated stronger innovation productivity indices compared with sectors with lower digital transformation maturity. Economies categorized as advanced digital ecosystems achieved an average innovation productivity score of 78.4 and economic growth rate of 4.56%, while early-stage digital transformation economies recorded 64.2 and 3.08% respectively. Overall, the findings confirmed that data analytics capability, digital infrastructure development, and integrated digital technology adoption collectively enhance innovation productivity and economic growth within data-driven innovation ecosystems.