Business Context Research Articles

Unified Framework for Choice-Based Facility Location Problem

The choice-based facility location (CBFL) problem arises in various industrial and business contexts. The problem stands on a decentralized perspective: Companies set up chains of facilities, and customers determine from which chain or facility to seek service according to their own preferences. Essentially, customer preferences or choices play a key role in characterizing various CBFL problems, which differ mainly in the models or rules used to characterize the choice. Consequently, a large number of formulations appear and are often solved by dedicatedly designed approaches in the literature. Such a situation significantly complicates practitioners’ decision-making process when they are facing practical problems but are unsure which ad hoc model is suitable for their cases. In this article, we address this dilemma by providing a unified modeling framework based on the concept of preference dominance. Specifically, we conceptualize the choice behavior as a sequential two-step procedure: Given a set of open facilities, each customer first forms a nondominated consideration set and then splits the buying power within the set. Such an interpretation renders practitioners high modeling flexibility as they can tailor how preference dominance is constructed according to their specific contexts. In particular, we show that our model can represent several streams of CBFL problems. To support our model’s applicability, we design an efficient exact decomposition algorithm. Extensive computational studies reveal that although the algorithm is designed for a general purpose, it outperforms most approaches that are tailored for ad hoc problems by a large margin, which justifies both the effectiveness and the efficiency of the unified framework. History: Accepted by Pascal Van Hentenryck, Area Editor for Computational Modeling: Methods & Analysis. Supplemental Material: The software that supports the findings of this study is available within the paper and its Supplemental Information ( https://pubsonline.informs.org/doi/suppl/10.1287/ijoc.2022.0366 ) as well as from the IJOC GitHub software repository ( https://github.com/INFORMSJoC/2022.0366 ). The complete IJOC Software and Data Repository is available at https://informsjoc.github.io/ .

Code and Data Repository for Unified Framework for Choice-Based Facility Location Problem

The choice-based facility location (CBFL) problem arises in various industrial and business contexts. The problem is based on a decentralized perspective: Companies set up chains of facilities, and customers determine from which chain or facility to seek service according to their own preferences. Essentially, customer preferences or choices play a key role in characterizing various CBFL problems, which differ mainly in the models or rules employed to characterize the choice. Consequently, a large number of formulations appear and are often solved by dedicatedly designed approaches in the literature. Such a situation significantly complicates practitioners' decision-making process when they are facing practical problems but are unsure which ad hoc model is suitable for their cases. In this article, we address this dilemma by providing a unified modeling framework based on the concept of preference dominance. Specifically, we conceptualize the choice behavior as a sequential two-step procedure: Given a set of open facilities, each customer first forms a nondominated consideration set and then splits the buying power within the set. Such an interpretation renders practitioners high modeling flexibility, as they can tailor how preference dominance is constructed according to their specific contexts. In particular, we show that our model can represent several streams of CBFL problems. To support the applicability of our model, we design an efficient exact decomposition algorithm. Extensive computational studies reveal that although the algorithm is designed for a general purpose, it outperforms most approaches that are tailored for ad hoc problems by a large margin, which justifies both the effectiveness and the efficiency of the unified framework. This repository provides data for the problem and code for the algorthm. The main folders are 'data', 'src', and 'results'. 'data': four datasets generator (and instances) used in the paper. 'src': the source code for the decomposition algorithm. 'results': high-resoultion figures in our paper All experimental results can be found in the paper (manuscript and electronic companion).

Advancing diversity research in family business

The purpose of this special issue is to advance the ongoing dialogue on gender diversity in family businesses and, more generally, encourage further research on individual distinctions to foster an inclusive milieu leading to greater equity, innovation, and organizational resilience. The studies in this special issue exemplify various aspects of gender diversity in family business, offering innovative perspectives to examine gender roles and representation within family businesses. Building on these articles, we offer a perspective that combines feminist theories with a social identity theory approach, going beyond the Business Case for gender equality and incorporating an emphasis on gender and power dynamics and identities. We conclude by proposing several future research directions to advance gender diversity studies in family business context.

A Case Study of Large Language Models' Effectiveness in Diverse Business Applications: Developing a Universal Integration Framework

In an era where data-driven decision-making is paramount, Large Language Models (LLMs) have emerged as a powerful tool for businesses across various sectors. However, the integration of these models into diverse business contexts presents unique challenges, ranging from technical implementation to strategic alignment with business goals. This research aims to build a comprehensive framework for the effective integration of LLMs into different business environments. By thoroughly exploring and documenting a variety of practical use cases of LLMs, the study develops a set of best practice guidelines tailored for businesses. These guidelines are designed to assist companies, irrespective of their industry, in leveraging the advanced capabilities of LLMs for enhanced data analysis, strategic decision-making, and operational efficiency. The research combines theoretical insights with practical applications, aiming to bridge the gap between the expanding field of LLMs and the evolving needs of the business world. The expected outcome of this research is a versatile, scalable, and accessible framework that empowers businesses to harness the full potential of LLMs, driving innovation and competitive advantage in the data-centric corporate landscape.

The influence of a business game on the formation of the internal lexical-semantic context of a speech act: an empirical study

Introduction. Modern tendencies in education require the training of specialists for the labour market, taking into account the changing requirements and influence of the environment. The influence of sociocultural contexts is reflected in the system of human relations with the world, manifested in actions and motives, represented in the speech act. The individual internal lexical and semantic context of a speech act is deterministic by subjective predictors (type of communication, meaningful roles, consistency of the Self-real/Self-ideal, rigidly bound constructs). The article was aimed to show how the business game of the contextual type influences the formation of the individual internal lexical and semantic context of each student of the experimental group. Materials and Methods. The study covered two academic years and involved students (N=39) studying in the academic year 2021/22 in the 1st year and in the academic year 2022/23 in the 2nd year). A contextual type business game was developed for the study. The technique of repertoire lattices of J. Kelly, Cotherapeutic computer system «Kelly», methods of mathematical statistics (χ2 -Pearson for identifying the degree of consistency of nominative features - type of communication, consistency of I-real and I-ideal on the basis of role preferences) were used. Measurements were taken before and after the business game. The results were processed using the computer program «Statistica» (vers. 12). Results and discussion. It was revealed that the contextual type business game influenced the subjective predictors of individual internal lexical-semantic context of each student's speech act. Obtained on the basis of the technique of repertoire grids, personal bipolar constructs, processed in the computer system «KELLY», allowed to identify the role preferences and consistency of the real self and the ideal self, the type of communication, and individual rigidly connected constructs. Mathematical and static analysis revealed a statistically significant shift in the change in the type of communication (χ2 = 6.838; p < 0,05) before and after the business game. Conclusion. The experiment showed that a contextual business game creates conditions for the formation and development of communicative, conflict-related, sociocultural competencies.

Article Review: Henri Fayol, Practitioner and Theoretician - Revered and Reviled by Mildred Golden Pryor and Sonia Taneja

The primary objective of this paper is to review an article titled “Henri Fayol, practitioner and theoretician - revered and reviled” written by Mildred Golden Pryor and Sonia Taneja (2010). Pryor and Taneja (2010) critically evaluate Fayol’s theory within the contemporary business context. They argued that Fayol’s theories are valuable and relevant for organizational leaders because Fayol was a practitioner who documented theoriesthat worked best for him and his co-workers. Even though, there are a few criticisms on Fayol’s theories still his theories are applicable with some advancement as a basement for the management implications for the contemporary business world. Pryor and Taneja (2010) compare Fayol’s work with the contribution of other scholars namely, Follett, Mintzberg, Taylor, and Porter’s, while evaluating the original and current interpretation and application of Fayol’s theories. Finally, Pryor and Taneja (2010) appreciate Fayol’s contribution specially the 14 principles of management due to its more optimistic features. Therefore, it is necessary for the students, teachers, and practitioners to understand the relevance of the theories and be able to utilize, Fayol’s principles and theories for improving the organizational performance and further studies. Keyword: Article review, Henri Fayol, Practitioner, Theoretician

Bibliometric Study on Consumer Protection Law in the Global Business Context

This bibliometric study delves into the realm of consumer protection law within the global business context, offering a comprehensive analysis of its historical evolution, research themes, temporal trends, influential authors, and prospective research directions. Spanning from 1951 to 2024 and encompassing 980 papers with 6,312 citations, the study illuminates the intricate web of academic literature. It identifies clusters of research themes, showcasing the field's interdisciplinary nature, and sheds light on emerging topics such as data protection and Islamic law in consumer protection. Notable authors and collaborations are highlighted, providing insights for scholars and policymakers, and emphasizing the global perspective in addressing consumer rights challenges in today's interconnected world.

PT Gojek Indonesia: Maintaining Corporate Sustainability with Innovation and Customer Perception

This research has a special problem in considering how much influence innovation management has on technological innovation, customer satisfaction on customer loyalty, as well as the impact of technological innovation and customer loyalty on corporate performance and corporate sustainability. The aim is that PT. Go-Jek Indonesia can consider things that can maintain corporate sustainability in a business context. This research uses quantitative research methods as its research method by distributing questionnaires to Go-Jek users who will later provide their views on PT. Gojek Indonesia. Researchers found that there is a close relationship between all variables and corporate sustainability directly and indirectly. This illustrates theoretically that maintaining innovation and customer perspective with good intentions will have an impact on the corporate's sustainability in the long term or the sustainability of PT. Gojek Indonesia. The research concludes that technological innovation, innovation management, customer satisfaction, customer loyalty, and organizational performance allsignificantly and positively impact PT. Gojek Indonesia’s sustainability. The findings emphasize the need for PT. Gojek Indonesia to prioritize these variables to ensure the corporate's long-term sustainability and success.

CULTURAL DIVERSITY IN NONVERBAL COMMUNICATION: COMPARING THE MEANING OF HUNGARIAN-RUSSIANAMERICAN NONVERBAL SIGNS

The aim of my research was to conduct a comparative analysis of nonverbal communication cues between Hungarian, Russian and American cultures, with a focus on the cultural specificities and overlaps of nonverbal cues used to express different emotions and states, such as aggressiveness, uncertainty and interest. The study involved an extensive literature review and a questionnaire survey with participants from different cultures to understand how these nonverbal signals are interpreted and perceived in different cultural contexts.
 In the analysis, I paid particular attention to the different interpretations of body language, facial expressions, gestures and touch, and spatial relations cues. The results of the research have highlighted that although there are some common forms of nonverbal communication, there are also a number of significant cultural differences that fundamentally influence the encoding and decoding of messages.
 For example, while in American culture direct eye contact and open posture can be signs of sincerity and confidence, in Hungarian and Russian cultures these signals can have different contexts and intensities. The meaning and acceptability of touch also varies; what is seen as a friendly gesture in one culture may suggest excessive closeness and inappropriateness in another.
 The research also highlighted the intercultural communication difficulties and misunderstandings that can arise from different interpretations of nonverbal signals. This underlines the need to better understand and respect the communication customs and norms of different cultures in order to communicate effectively and efficiently.
 At the end of my research, I have formulated recommendations for those involved in cross-cultural communication, whether in business, educational or personal contexts. I have stressed the importance of cultural sensitivity, avoiding prejudices and active listening, which can be key to successful and meaningful intercultural dialogues.

Challenges in the Relationship between Liquidity and Profitability: Perspectives from a Literature Review

Purpose: The purpose of the literature review is to examine and synthesize the current state of knowledge in the literature on the relationship between liquidity and profitability in companies. It aims to understand the importance of these two variables for the financial performance and long-term viability of organizations. Theoretical framework: The theoretical framework focuses on the importance of liquidity and profitability in the business context. Key concepts related to the ability of companies to service their debts (liquidity) and whether they are viable and generate profits over time (profitability) will be addressed. Factors such as capital intensity, competition, and industry-specific risks, which may influence the relationship between the two variables, are also considered. Design/Methodology/Approach: The design of the literature review involved the review and synthesis of a total of 250 articles related to liquidity and profitability. Of this number, 61 articles were selected from academic platforms such as SCOPUS, LATINDEX and others. A mixed approach was presented to address the topic, combining different perspectives and methodological approaches. Results: The results of the review revealed several gaps in the study of the relationship between liquidity and profitability. These include the lack of longitudinal cross-country studies, which limits the understanding of differences in financial performance in different contexts. It was also found that factors such as capital intensity, competition and sector-specific risks may cause heterogeneous relationships between liquidity and profitability across business sectors. Social, practical and research implications: The social implications of this review highlight the importance of maintaining good liquidity and profitability management in companies, as their ability to service debt and generate sustainable profits over time is derived from these variables. Business practices need to consider industry-specific factors to understand how they can influence the relationship between liquidity and profitability. From a research point of view, this review identifies the need for more longitudinal cross-country comparative studies and a sectoral approach for a more complete understanding of the relationship between these financial variables. Originality/value: The originality and value of this review lies in its mixed approach and synthesis of a significant number of academic articles related to liquidity and profitability. By highlighting research gaps and emphasizing the importance of a sectoral approach, this review provides valuable insights for future research and financial practices in the corporate context.

A Study of Isan Folk Music Creation Using a Sampler for Music Education

This research represents a creative exploration in the field of music (Practice as Research: PaR) with the objectives of 1) studying the use of a sampler from Isan instruments and instruments from various cultures to create musical compositions using music software, and 2) examining the appropriate contexts for using a sampler in creative musical works. The research findings reveal that 1) Isan folk music possesses unique characteristics in terms of sound quality and performance techniques, while other musical elements can be combined with it in a technologically driven creative process. This involves connecting the concepts and methods of both traditional and diverse cultural music to create unified compositions using technology, such as recording musical notes in standard notation, exporting them as MIDI files, and then importing them into audio recording software to refine the sounds for complete songs. 2) Regarding the appropriate contexts for using a sampler in creative music, three main contexts were identified: an Isan folk music composition context, a music education context, and a commercial or music business context. In summary, the process of using a sampler for creative music works can bridge the concepts of various cultural music and integrate them with technology. Furthermore, this process can be extended to enhance interdisciplinary learning and teaching methods, making it applicable in diverse contexts.

Paradigmatic Transition: Social Entrepreneurship as a Catalyst for Enhancing the Competitiveness and Sustainability of SMEs in the Digital Business Context

In recent decades, there has been a paradigm shift in how we perceive business. It is no longer solely about profit-making but also about considering the social and environmental impacts of business activities. This research aims to delve deeper into how social entrepreneurship can be implemented in the context of digital business to support the competitiveness and sustainability of SMEs. The research method employed is a qualitative literature review drawing data from Google Scholar within the timeframe of 2020-2024. A qualitative approach is used to understand and analyze various perspectives, theories, research findings, and concepts relevant to the research topic. The study findings indicate that the paradigmatic transition occurring in the business world today reflects the rapid and complex global changes. The evolving digital era has triggered a shift from traditional business paradigms towards more inclusive and sustainable approaches. Social entrepreneurship emerges as a significant catalyst in strengthening the competitiveness and sustainability of micro, small, and medium enterprises (SMEs) in the digital business environment. It is important to understand that social entrepreneurship is not just about seeking financial profit alone but also about advocating for social and environmental change.

Manager’s Age, Employee Environmental Passion, and Employee Green Engagement: A Conceptual Framework

Environmental concerns are growing worldwide, especially in the business context, where employee green engagement plays a crucial role in enhancing organizational environmental performance. The purpose of this research is to explore the conceptual link between a manager’s age, employee environmental passion and employee green engagement. The research adopts a systematic literature review methodology. Using the Scopus database, articles were selected for analysis related to employee green engagement published between 2002 and 2023. The study’s findings provide evidence in support of the proposition that a manager’s age has a significant impact on employee green engagement, with younger managers fostering environmental passion and encouraging eco-friendly activities. Employee environmental passion plays a significant role in this relationship. This research contributes to the conceptualization of employee green engagement and highlights the importance of organizational factors, such as a manager’s age and employee environmental passion, in shaping sustainable practices. Organizations can enhance environmental sustainability by engaging employees in sustainability initiatives. This study contributes novelty by shedding light on the motivational drivers that encourage employees to actively engage in green initiatives. The research provides valuable insights for organizations to create sustainable work environments and address critical environmental concerns, making it a valuable addition to the field of sustainability research.

AI-ENABLED CUSTOMER EXPERIENCE ENHANCEMENT IN BUSINESS

This scholarly investigation delves into the transformative impact of Artificial Intelligence (AI) on enhancing customer experience in the business realm. The study's purpose was to meticulously examine the integration, evolution, and strategic implications of AI in business operations, particularly in customer engagement. A comprehensive literature review and detailed case study analysis constituted the core methodology, focusing on peer-reviewed articles and practical examples from diverse business sectors. This approach facilitated a multi-dimensional exploration, capturing both the technological advancements in AI and the associated implementation challenges within various business contexts. Central findings from this research underscore AI's evolution from an emerging technological tool to a fundamental component in customer-centric business strategies. AI's capabilities in personalizing customer interactions, automating support systems, and leveraging predictive analytics have revolutionized business-customer dynamics. However, this evolution is not without its challenges, including data privacy concerns, ethical considerations, and the need for skilled AI expertise. The study concludes that AI is a strategic asset, necessitating thoughtful integration into business models. It emphasizes the importance of a collaborative approach, where AI specialists and industry experts work synergistically to tailor AI solutions to specific business needs. Ethical considerations and maintaining customer trust are highlighted as pivotal in AI deployment strategies. The study recommends continuous innovation, investment in AI infrastructure and talent, and adherence to ethical AI practices. These measures are essential for businesses to enhance customer experiences and drive sustainable growth in the digital age
 Keywords: Artificial Intelligence, Customer Experience, Business Strategy, AI Integration, Ethical Considerations.

An investigation of the role of Wasta social capital in enhancing employee loyalty and innovation in organizations

Considering the pressures of fluctuating external environments, organizations are constantly seeking ways to be responsive and able to improve their performance with lower costs. Employer–employee relationships have changed rapidly in recent years, and there is growing interest in considering human resources as a form of capital, and a strategic factor for business excellence. A focal point for HR professionals is employee loyalty, recognized as pivotal in realizing long-term organizational goals. This paper delves into the concept of Wasta social capital and its pivotal role in fostering employee loyalty and innovation within the unique cultural context of the Arab world. It is argued here that Wasta social capital is the fundamental dynamic that stimulates employee loyalty in the workplace. This conceptual paper provides new insights through understanding the significant role Wasta social capital plays in affecting employee loyalty in a collectivist culture, differing from the conventional business-context factors of loyalty. Obtaining a deeper understanding of employee loyalty and how it is developed in Arab-world business contexts can promote innovation.

Evaluating the Intellectual Capital of Intensively Tourism-Dependent Countries Between, Prior, and During the COVID-19 Pandemic

The tourism industry has grappled with the challenges posed by the onset of the coronavirus disease (COVID-19) since the start of 2020, experiencing a complete lockdown that profoundly affected travel activities. This viral outbreak had a critical impact on both the financial and non-financial aspects of life, including the intellectual capital (IC) of the tourism and hospitality sectors. However, there is a scarcity of studies addressing this issue within the context of tourism-related businesses. Thus, this paper aims to investigate the changes in the overall IC and its components before and during the COVID-19 pandemic, with a specific focus on understanding the transformation of IC in the tourism industry of Thailand, a country that is highly dependent on tourism. The study involved 37 tourism-related companies listed on the Stock Exchange of Thailand (SET). Organizational data from financial and annual reports published between 2019 and 2020 were collected for analysis. The assessment of value added intellectual capital (VAICTM) was employed to evaluate the performance of the overall IC and its components during the pandemic. The results, based on the testing of four hypotheses, indicated that most hypotheses were accepted, signifying a substantial transformation in the overall IC performance of tourism-related companies during the pandemic crisis. This transformation was observed in the IC components of physical and human capitals. However, the structural capital was the only IC component that did not experience a significant impact from COVID-19. To comprehend the reasons and effects of the IC transformations during the pandemic, this study delved into the relevant literature. Additionally, the paper includes implications to support firms in preparing for future challenges.

Artificial intelligence for international business: Its use, challenges, and suggestions for future research and practice

AbstractThe emergence of artificial intelligence (AI) has transformed global business, aiding operational efficiency and innovation. It utilizes machine learning and big data analytics, driving predictive market trends and strategic decision‐making. However, despite the rising discussion and accessibility of AI tools, understanding its impact on international business remains limited. This article explores AI's potential in international business strategies, practices, and activities. To address this aim, we reviewed 37 articles in the existing literature to critically explore AI within the context of international business. More specifically, we explored how AI can be applied to innovation approaches in international business, international market selection, entry modes, foreign exchange, international human resource management, international supply chains, managing across cultures, and more topics. AI has necessitated changes in workplace configurations and the need for organizational and employee adjustments in response to this technology. As a result of the foregoing issues on AI integration within international business, our analysis provided an exploratory discussion around its use, challenges, managerial implications, and suggested areas requiring future studies.

The role of artificial intelligence in corporate digital strategies: evidence from China

PurposeIn the rapidly evolving digital economy, businesses face formidable pressures to maintain their competitive standing, prompting a surge of interest in the intersection of artificial intelligence (AI) and digital transformation (DT). This study aims to assess the impact of AI technologies on corporate DT by scrutinizing 3,602 firm-year observations listed on the Shanghai and Shenzhen stock exchanges. The research delves into the extent to which investments in AI drive DT, while also investigating how this relationship varies based on firms' ownership structure.Design/methodology/approachTo explore the influence of AI technologies on corporate DT, the research employs robust quantitative methodologies. Notably, the study employs multiple validation techniques, including two-stage least squares (2SLS), propensity score matching and an instrumental variable approach, to ensure the credibility of its primary findings.FindingsThe investigation provides clear evidence that AI technologies can accelerate the pace of corporate DT. Firms strategically investing in AI technologies experience faster DT enabled by the automation of operational processes and enhanced data-driven decision-making abilities conferred by AI. Our findings confirm that AI integration has a significant positive impact in propelling DT across the firms studied. Interestingly, the study uncovers a significant divergence in the impact of AI on DT, contingent upon firms' ownership structure. State-owned enterprises (SOEs) exhibit a lesser degree of DT following AI integration compared to privately owned non-SOEs.Originality/valueThis study contributes to the burgeoning literature at the nexus of AI and DT by offering empirical evidence of the nexus between AI technologies and corporate DT. The investigation’s examination of the nuanced relationship between AI implementation, ownership structure and DT outcomes provides novel insights into the implications of AI in the diverse business contexts. Moreover, the research underscores the policy significance of supporting SOEs in their DT endeavors to prevent their potential lag in the digital economy. Overall, this study accentuates the imperative for businesses to strategically embrace AI technologies as a means to bolster their competitive edge in the contemporary digital landscape.

Analisis Kualitas Produk Skincare HN

The concept of beauty currently circulating in society is having white skin. There are a number of whitening products that contain dangerous ingredients such as mercury and hydroquinone that are not permitted by BPOM. Beauty products are currently being discussed, not only because of the products that are flooding the market, but also because of the impact of using these products. This research aims to analyze the quality of HN skincare products based on student perceptions in a business context. This research method uses descriptive quantitative. The sample used was 181 Bina Bangsa University students who were willing to become respondents and were taken randomly. The results of this research show that as many as 8 questions significantly show that Bina Bangsa University students do not use and are less interested in using HN products on the grounds that they are dangerous.

On the role of small and medium-sized businesses in the economy of modern Russia

The relevance of the research topic is due to significant changes in business conditions and the need to assess their impact on the activities of small and medium-sized enterprises. At the current stage of the geo-economic confrontation, the domestic economy is faced with large-scale restrictions and measures to curb its development. Solving the problem of the emerging shortage of financial and other resources involves their optimal distribution between business entities and their groups, including between small and large businesses. The priority recipients of resources should be groups of systemically important entities capable of ensuring the sustainability and dynamic development of the entire economy. In the article, the author considers the question of whether domestic small and medium-sized enterprises belong to such entities. The purpose of the study is to assess the role and potential of small and medium-sized businesses in ensuring sustainable and dynamic development of the domestic economy in modern conditions. The author presents the results of systematization of current scientific approaches on the topic under consideration, indicators characterizing the share of small and medium-sized businesses in the economy of Russia and a number of foreign countries. A criteria analysis of its role and potential in ensuring the development of the domestic economy has been performed. The prerequisites for changing this role in the medium term are assessed. To achieve the goal of the article, the results of Russian and foreign research, statistical observation data, as well as methods of criterial and comparative analysis were used. When studying the prerequisites for increasing the role of small and medium-sized businesses, a factorial method was used based on a set of factors presented by the author. The results of the study confirmed the special importance of small and medium-sized businesses for ensuring the social aspects of economic development, including ensuring employment and stimulating private initiative. It is concluded that there is a need to increase government support in this area. In the broader context of economic development, domestic small and medium-sized businesses are characterized as a relatively small part of the national economy with a moderate level of stability in times of crisis and relatively low innovative activity and susceptibility to innovation. Its influence on economic growth is assessed as limited, and its role in ensuring sustainable and dynamic development of the domestic economy is assessed as secondary and complementary. There are no prerequisites for a significant change in this role in the medium term, which is due to the existing economic structure, industry structure and modern business conditions. The results of scientific research may be in demand by experts in the field of strategic socio-economic planning.