Eastern-European Journal of Enterprise Technologies

Devising a methodology for estimating the information potential of energy enterprises under the conditions of digital coherency

2025-06-10T20:29:06+03:00

The object of this study is the process of assessing the level of information potential of energy enterprises under the conditions of digital coherence. The problem of effective management of the information potential of energy enterprises is solved on the basis of devising a methodology for assessing the level of information potential of energy enterprises under the conditions of digital coherence, taking into account modern challenges associated with the integration of digital systems. The methodology makes it possible to ensure the accuracy of analysis, prompt decision-making, and adaptation to the dynamic conditions of digital transformation. The devised methodology is based on interrelated stages, including the integration of indicators, assessment of the interaction of system components, and monitoring changes in indicators of the information potential of energy enterprises. The main stages of the methodology are selection of components of the information potential, such as the level of automation, IT infrastructure, staffing, information security, and digital systems; analysis of their interaction; monitoring and management of risks in real time. It was determined that the application of the methodology makes it possible to identify the weaknesses of the enterprise's information system and adapt it to new challenges, including cyber threats and the need for technological updates. The main feature is the ability of the methodology to analyze the relationships between infrastructure components, taking into account digital coherence, which makes it possible to increase the accuracy of risk assessment and the efficiency of managing the information potential of the energy enterprise. Based on the data obtained, it is possible to assess the critical decrease in the level of information potential of the Zaporizhzhia Power Plant from 0.5790 to 0.3710 arbitrary units and its possible consequences for the efficiency of the enterprise

Adaptive model of project management in the field of innovative engineering developments: integrating waterfall and agile for dynamic requirements

2025-05-16T18:51:10+03:00

The object of this study is project management in the field of innovative engineering developments and management of scientific projects under conditions of dynamic requirements, high complexity, and variable implementation deadlines. The study addressed the issue of insufficient flexibility of the Waterfall methodology for adapting to changing conditions and the lack of clear deadlines in the Agile methodology, which is critically important for engineering and scientific projects.

In the process of the study, the problems of conventional methodologies were analyzed, an expanded list of project input parameters were formed, and an analysis algorithm was developed that makes it possible to determine the feasibility of using Waterfall and Agile elements at each stage of project implementation. Using the advantages of the Waterfall and Agile methodologies and eliminating their shortcomings is possible within the framework of an adaptive model of scientific and innovative project management.

The results of the study show that the model devised provides effective resource management, reducing implementation deadlines and increasing stakeholder satisfaction. The integration of the Waterfall structure and Agile iterativeness makes it possible to avoid the shortcomings of each of the methodologies, ensuring greater adaptability and accuracy in achieving goals. The proposed model helps optimize project management under conditions of high uncertainty and changing market conditions.

The results could be used by companies to improve the management of engineering and scientific projects, especially in industries where rapid adaptation to changes and ensuring predictability of results are important. This study also contributes to the formation of a new approach to project management, which takes into account the specificity of modern innovative developments

Developing a marketing strategy for efficient management of the information environment of the technology park

2025-05-21T19:57:11+03:00

The object of the study is the managing the information environment of technology parks in Azerbaijan, formed taking into account the competitive specifics of technology parks. Disclosing the problem of high-quality management of the information environment of the technology park requires analyzing the marketing strategy, taking into account the key factors of competition. It is necessary to take into account the key criteria for success and the dominant competitive conditions. The article also presents the main results of a study conducted at the regional universities of Azerbaijan (Sumgait State University and Azerbaijan Technological University) with the aim of developing information and economic mechanisms for the organization and effective operation of technology parks with their further application in the educational environment. Among them: modernization to meet modern requirements; use of marketing tools; adaptation of communication strategy; integration of advanced information technologies; implementation of innovative solutions. In an era of economic growth and dynamism, ideas that seemed like dreams become reality, ahead of their time. Adequate response and application of information technologies in the management of the information environment of the technology park allows to set the direction of the marketing strategy in the new conditions. The study identified three key factors that can have a direct or indirect impact on the organization of an effective consistent approach to the implementation and use of a marketing strategy in the management of a technology park. The obtained results can be used in universities of Azerbaijan, while it is necessary to take into account the key criteria for success and the current competitive conditions

Assessing the effectiveness of innovative transformations of socio-economic systems and enterprise development within Industry 5.0

2025-06-18T19:28:25+03:00

The object of this study is the financial and economic processes of the enterprise's functioning under the conditions of innovative transformations of socio-economic systems.

The problem is to provide high-quality analytical support for making management decisions through updating the methodological tools that reflect the complexity of the relationships between innovative transformations, environmental and social standards, and financial indicators.

The study was conducted using data on 32 food retail enterprises in the city of Kharkiv and the Kharkiv oblast (Ukraine) over 2023–2024.

A scientific and methodological approach to assessing the profitability of an enterprise's capital has been devised, taking into account the specificity of innovative transformations of its socio-economic system under the conditions of Industry 5.0. Based on the principal components method, key determinants (innovative activity, financing of activities, cost of activities, operational efficiency) have been identified that affect the effectiveness of innovative transformations and explain 77.81% of the variance in the profitability of capital. Economic and mathematical models of the dependence of the return on capital on microenvironmental factors were built. It was found that the return on capital increases by 1.0692% due to innovative activity, financing of activities and operational efficiency, but decreases by 0.58% due to increased costs.

The practical value of the proposed scientific and methodological approach relates to the possibility of using models to identify reserves for increasing financial performance and forming recommendations for overcoming negative trends that prevent the achievement of target parameters of sustainable development of enterprises under the conditions of Industry 5.0

Constructing a sustainable development model for universities: mechanisms of integration and efficiency

2025-05-16T18:16:20+03:00

The object of this study is the processes of ecological transformation of university activities, aimed at integrating the principles of sustainable development into the educational, scientific, and managerial aspects of their functioning.

The task addressed relates to the insufficient integration of the principles of sustainable development into the activities of universities, which limits their competitiveness at the international level and hinders the implementation of environmentally oriented educational and scientific initiatives.

A conceptual model of environmentally oriented transformation (CMEOT) of universities has been devised, which enables the integration of environmental, social, and economic aspects into all levels of the educational process. The proposed mechanisms for adapting European practices allow for effective consideration of national characteristics. The implementation of the model contributes to the growth of environmental awareness of students, improving the quality of education and activating international cooperation.

The results are explained by an interdisciplinary approach to sustainable development, which allows universities to flexibly adapt to global challenges.

The main feature of the proposed model is its universality and the ability to adapt to different types of universities. It includes an algorithm for unifying approaches to ecological transformation, which makes it possible to take into account the specificity of educational institutions.

The model devised could be used at universities of various profiles to improve the level of environmental education, implement sustainable development, and strengthen the international integration of higher education institutions. The conditions for effective implementation are support at the state level, financing of environmental initiatives, and active cooperation between universities and stakeholders

Digital entrepreneurship decisions in Indonesian women-led SMEs: an integrated SEM of transformation, skills, innovation, and behavioral intention

2025-05-19T20:17:36+03:00

The object of this research is women-led small and medium enterprises (SMEs) located in five sub-districts of Solo City, Indonesia. Women-led small and medium enterprises (SMEs) in Indonesia face unresolved gaps in understanding how digital transformation (BDT), hard and soft skills (HSS), and innovative digital ideas (IDI) to behavioral intention (BIu) and digital entrepreneurship decisions (DEDc). To address this problem, a comprehensive structural equation modeling (SEM) framework was employed to analyze the effects of BDT, HSS, and IDI on BIu and DEDc. Findings indicate that BDT strengthens BIu and directly drives the DEDc. In contrast, HSS and IDI significantly enhance BIu, serving as an essential construct that translates HSS and IDI into concrete decisions. BIu emerged as the principal determinant of digital entrepreneurship choices, underscoring that competency development and innovation must be complemented by measures that cultivate commitment, proactiveness, and strategic preparation. BDT, HSS, and IDI significantly bolster BIu, the primary DEDc driver, with BDT. The model explained 79.1% of BIu variance and 57.3% of DEDc variance, with strong predictive relevance (Q² > 0.35). The underlying model explains a substantial share of variance in BIu and DEDc, confirming the robustness and validity of the employed constructs. These insights highlight that women-led SMEs can effectively implement and sustain digital initiatives under supportive policy frameworks and targeted training programs focused on leadership-driven transformation, comprehensive skill development, and ideation workshops. This SEM framework offers practitioners and policymakers a practical guide for prioritizing interventions that enhance digital readiness and entrepreneurial intention among women entrepreneurs in Indonesia and analogous emerging-market contexts

Ensuring sustainable use of generative artificial intelligence by enterprises based on resource consumption optimization

2025-05-22T21:07:29+03:00

The object of this study is the impact of using generative artificial intelligence (AI) on the resource efficiency of enterprises in the context of sustainable development. The issue relates to the fact that despite the ability of generative AI to optimize management and production processes, its use is accompanied by an increase in electricity consumption (grid, mostly non-renewable) and water, which creates new environmental risks.

This paper systematizes existing methods for indirectly estimating energy and water consumption in the process of generative AI model functioning. Based on this, an approach to assessing the ecological footprint of generative AI has been devised, which takes into account four indicators such as query length, complexity, task type, and industry. A special feature of the proposed approach is a combination of quantitative analysis, regression modeling, and query classification to assess resource intensity.

An empirical study has shown that high-volume queries (analytical and creative) generate significantly higher resource consumption (2.1–2.3 Wh of electricity and more than 0.8 liters of water) while factual queries create a minimal load (< 0.12 Wh). This difference is explained by the complexity of information processing and the involvement of significant computing power in cloud data centers.

To evaluate the feasibility of AI implementation, a sustainability index has been proposed to assess the balance between the efficiency achieved and resources spent. The proposed approach could be used by enterprises under conditions of limited access to energy and water resources, in particular during post-war recovery and implementation of the principles of sustainable development

Design and assessment of AI-enabled sustainable HR practices affecting employee performance with engagement mediation and personality moderation in the Indian IT industry

2025-03-26T18:40:51+02:00

The object of this study is the impact of AI-enabled sustainable HR practices on employee performance in India's IT industry. The problem addressed is the lack of empirical evidence on how AI-driven HR practices influence performance, with a focus on the mediating role of employee engagement and the moderating role of conscientiousness.

The research responds to the vital question of how AI-based HR innovations, which include AI-based recruitment and development, AI-enabled performance feedback, organizational sustainability orientation, and AI-based employee empowerment, influence the performance of IT professionals.

Data were collected from 340 Indian IT professionals using structured instruments with snowball sampling method. The findings explore the impact of AI-based HR practices on employee performance in the Indian IT industry. The findings show significant positive effects of AI-driven recruitment (β = 0.116, p = 0.007), performance management (β = 0.180, p < 0.001), and training (β = 0.204, p < 0.001). Employee engagement mediates these relationships (β = 0.136, p = 0.002), while conscientiousness moderates the engagement-performance link (β = 0.150, p = 0.006).

From a practical point of view, the results suggest that it is important for IT managers to adopt future-oriented and viable HR digital solutions that capitalize on both technology and human elements in an effort to enhance productivity in an industry in which the pace of change is rapid

Innovative approaches to project financing management in the context of digitalization: micro- and macro-aspects

2025-06-24T18:01:24+03:00

This study's object is innovative approaches to project finance management in the context of digitalization. The need for the study relates to solving the issue of insufficient adaptation of conventional approaches to project finance management to the conditions of digitalization, which reduces the efficiency of project decision-making and, as a result, the overall level of competitiveness.

The study proves that conventional approaches to project finance management are being transformed under the influence of digitalization. A comparative characteristic of traditional and innovative approaches to project finance management is given. The advantages and disadvantages of innovative approaches to project finance management associated with the digitalization of this process have been highlighted. The macro- and micro-aspects of innovative approaches to project finance management in the context of digitalization have been characterized.

It was established that at the macro level, innovative approaches to project finance management are influenced by global trends in the evolution of the fintech industry. At the micro level, the implementation of innovative approaches to project finance management is associated with the active use of digital technologies. In order to determine the effectiveness of managing the process under study, a system model of innovative project finance in the context of digitalization was built. A forecast for the development of innovative project finance management over 2026–2030 has been prepared according to the basic, optimistic, and pessimistic scenarios.

The practical significance of the results is their use in the development and selection of effective strategies for innovative project finance in the context of digitalization. Quantitative assessment of the research results is meant to improve the conditions for achieving the planned indicators