Pub Date : 2024-07-05DOI: 10.32342/2074-5354-2024-2-61-7
L. Yurchyshena
University management systematically faces the problem of objectively assessing the financial stability of higher education institutions (HEIs). This challenge arises due to the influence of external drivers, including the instability of institutional support, changes in approaches, reductions in budget funding, the consequences of the Covid-19 crisis, war, population migration abroad, destruction of the material and technical base of HEIs, a decrease in the solvency of the population, and the psychological status of employees. In the paradigm of this study, the financial stability of universities is investigated as their ability to form a positive financial space, create value propositions considering time demands, ensure income growth and diversification, rational distribution of resources, maintain liquidity and solvency, and respond flexibly and quickly to the challenges of the time. The purpose of the article is to methodologically justify and practically implement the integral assessment of the financial stability of universities based on the point method, utilizing both static and dynamic approaches. The information base of this study comprises data from the Unified State Electronic Database on Education as of October 1 of the reporting year, financial information, and rectors’ reports for the years 2017 to 2022, which were published on the websites of the Higher Education Institutions. The sample includes 35 HEIs of Ukraine, varying in types (classical, polytechnic, pedagogical, economic, and others), scale, and location. The main results of the study are as follows: - a three-criterion approach to determining the integral indicator of financial stability: the first criterion is contingent (scale), encompassing indicators demonstrating changes in student numbers according to public and private forms of education, the ratio of teacher supply to applicants, the level of budget allocations and private financing per student, and expenses for wages per student; the second criterion is cash flows, represented by liquidity indicators and a financial cushion; the third criterion is income and expenses, including indicators characterizing the change in income, their diversification, the level of income per 1 student and teacher, the share of marginal income, the ratio of income and expenses, the coefficient of coverage of fixed expenses by income; -the method of calculating the integral indicator of financial stability based on static and dynamic approaches was justified and tested using the example of 35 HEIs in Ukraine; - four types of financial stability of universities were established according to the maximum value of the integral indicator: stable (41–50 points), normal (31–40 points), risky (21–30 points), and crisis (20 or fewer points). The method of calculating the integral indicator of financial stability of universities proposed in the article is a tool for making tactical and strategic decisions by university management.
{"title":"INTEGRAL ASSESSMENT OF THE FINANCIAL STABILITY OF UNIVERSITIES","authors":"L. Yurchyshena","doi":"10.32342/2074-5354-2024-2-61-7","DOIUrl":"https://doi.org/10.32342/2074-5354-2024-2-61-7","url":null,"abstract":"University management systematically faces the problem of objectively assessing the financial stability of higher education institutions (HEIs). This challenge arises due to the influence of external drivers, including the instability of institutional support, changes in approaches, reductions in budget funding, the consequences of the Covid-19 crisis, war, population migration abroad, destruction of the material and technical base of HEIs, a decrease in the solvency of the population, and the psychological status of employees. In the paradigm of this study, the financial stability of universities is investigated as their ability to form a positive financial space, create value propositions considering time demands, ensure income growth and diversification, rational distribution of resources, maintain liquidity and solvency, and respond flexibly and quickly to the challenges of the time. The purpose of the article is to methodologically justify and practically implement the integral assessment of the financial stability of universities based on the point method, utilizing both static and dynamic approaches. The information base of this study comprises data from the Unified State Electronic Database on Education as of October 1 of the reporting year, financial information, and rectors’ reports for the years 2017 to 2022, which were published on the websites of the Higher Education Institutions. The sample includes 35 HEIs of Ukraine, varying in types (classical, polytechnic, pedagogical, economic, and others), scale, and location. The main results of the study are as follows: - a three-criterion approach to determining the integral indicator of financial stability: the first criterion is contingent (scale), encompassing indicators demonstrating changes in student numbers according to public and private forms of education, the ratio of teacher supply to applicants, the level of budget allocations and private financing per student, and expenses for wages per student; the second criterion is cash flows, represented by liquidity indicators and a financial cushion; the third criterion is income and expenses, including indicators characterizing the change in income, their diversification, the level of income per 1 student and teacher, the share of marginal income, the ratio of income and expenses, the coefficient of coverage of fixed expenses by income; -the method of calculating the integral indicator of financial stability based on static and dynamic approaches was justified and tested using the example of 35 HEIs in Ukraine; - four types of financial stability of universities were established according to the maximum value of the integral indicator: stable (41–50 points), normal (31–40 points), risky (21–30 points), and crisis (20 or fewer points). The method of calculating the integral indicator of financial stability of universities proposed in the article is a tool for making tactical and strategic decisions by university management.","PeriodicalId":510932,"journal":{"name":"Academic Review","volume":" 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141674383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-05DOI: 10.32342/2074-5354-2024-2-61-2
T. Sahoo, Anatolii O. Zadoia, Sandhyarani Sahoo, Sarojini Sahoo
The paper explores the potential of CRM as a strategic element (along with performance, customer and bank perspectives, and demographic changes) for employee retention (using the Indian banking system as an example). The banking industry was chosen for this study because it is a service sector where transactions involving sensitive products (financial instruments) attract maximum attention from both employees and customers in the long run. To achieve this goal, the authors identified the main factors of customer relationship management that make it effective. The study investigated the relationship between CRM practices, the efficiency of banking operations, and the retention of bank employees. The analysis showed that bank employees have a much greater potential to influence the effectiveness of its activities than clients. Therefore, banks’ management should pay more attention to the recruitment of personnel, not only to the CRM system. The article specifically investigated the rationality of the relationship between CRM, bank branch efficiency, employee retention, and demographic variables. This allowed for several options for banks’ strategies in forming a stable staff of employees to be proposed. An important result of the study was the justification of the modification and addition of the ISM (Interpretive Structural Modelling) mechanism, which received a new name - RISM (Rational Interpretive Structural Modelling). Without violating the basic rules of ISM, the new mechanism allows to achieve better results, as it enables the development of a strategy for independent variables with a more accurate prediction of results.
本文(以印度银行系统为例)探讨了客户关系管理作为留住员工的战略要素(以及绩效、客户和银行视角和人口变化)的潜力。之所以选择银行业作为研究对象,是因为银行业属于服务行业,涉及敏感产品(金融工具)的交易从长远来看会吸引员工和客户的最大关注。为了实现这一目标,作者确定了客户关系管理之所以有效的主要因素。研究调查了客户关系管理实践、银行运营效率和银行员工保留率之间的关系。分析表明,银行员工比客户更有可能影响其活动的有效性。因此,银行管理层应更加重视人员招聘,而不仅仅是客户关系管理系统。文章具体研究了客户关系管理、银行网点效率、员工保留率和人口统计学变量之间关系的合理性。这就为银行组建稳定的员工队伍提出了几种策略方案。研究的一项重要成果是证明了修改和增加 ISM(解释性结构建模)机制的合理性,并将其命名为 RISM(理性解释性结构建模)。在不违反 ISM 基本规则的情况下,新机制能够取得更好的结果,因为它能够为自变量制定战略,对结果进行更准确的预测。
{"title":"MODIFICATION OF ISM TO RISM (RATIONAL INTERPRETIVE STRUCTURAL MODELLING) IN THE CONTEXT OF EMPLOYEE RETENTION THROUGH CRM AND PERFORMANCE","authors":"T. Sahoo, Anatolii O. Zadoia, Sandhyarani Sahoo, Sarojini Sahoo","doi":"10.32342/2074-5354-2024-2-61-2","DOIUrl":"https://doi.org/10.32342/2074-5354-2024-2-61-2","url":null,"abstract":"The paper explores the potential of CRM as a strategic element (along with performance, customer and bank perspectives, and demographic changes) for employee retention (using the Indian banking system as an example). The banking industry was chosen for this study because it is a service sector where transactions involving sensitive products (financial instruments) attract maximum attention from both employees and customers in the long run. To achieve this goal, the authors identified the main factors of customer relationship management that make it effective. The study investigated the relationship between CRM practices, the efficiency of banking operations, and the retention of bank employees. The analysis showed that bank employees have a much greater potential to influence the effectiveness of its activities than clients. Therefore, banks’ management should pay more attention to the recruitment of personnel, not only to the CRM system. The article specifically investigated the rationality of the relationship between CRM, bank branch efficiency, employee retention, and demographic variables. This allowed for several options for banks’ strategies in forming a stable staff of employees to be proposed. An important result of the study was the justification of the modification and addition of the ISM (Interpretive Structural Modelling) mechanism, which received a new name - RISM (Rational Interpretive Structural Modelling). Without violating the basic rules of ISM, the new mechanism allows to achieve better results, as it enables the development of a strategy for independent variables with a more accurate prediction of results.","PeriodicalId":510932,"journal":{"name":"Academic Review","volume":" 44","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141675636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-05DOI: 10.32342/2074-5354-2024-2-61-11
V. Zhuk, M. Pugachov, Yuliia Bezdushna, Oleksandr Shpykuliak
The article offers a critical assessment of both international and national methodologies for determining direct and indirect damage to agricultural enterprises caused by war. It proposes laying the groundwork for a fair and corruption-free compensation policy by enhancing information support for loss assessment, based on the financial and statistical reporting of economic entities. Methodological approaches to damage assessment and the results of such assessments, as outlined in the «Ukraine Rapid Damage and Needs Assessment: February 2022 - February 2023» report, conducted by the World Bank in collaboration with the European Union, the United Nations, and the Government of Ukraine. The influence of various factors on the formation of indirect losses of enterprises was evaluated. Specifically, the factors affecting the reduction of selling prices for agricultural products, decrease in production volumes, and increase in production costs were analyzed. The impact of these factors was assessed based on relevant statistical data from 2019 to 2021 and 2022. The influence of the factor of increased production costs on the formation of enterprise losses due to war was demonstrated using the example of an agricultural enterprise’s activities in both pre-war and war periods. In-depth studies of indirect damage of enterprises that did not suffer direct damage from military operations was conducted, with the aim of using such information in the compensation policy of the state. In particular, the Appraisal Methodology, developed by the Ministry of Economy and the State Property Fund of Ukraine and required for use by appraisers and forensic experts when assessing damages and lost profits, was approved. Based on the results of its implementation, it was determined that for an average successful agricultural enterprise, the lost profit could amount to up to 1.4 million USD annually. This confirms the hypothesis that, irrespective of direct damage, all businesses incur indirect losses due to the war. Thus, the findings demonstrate that the current normative approach, which dictates that indirect losses of enterprises are compensated only if direct damage is caused by military actions, is unjustified. The widespread neglect of these losses poses a threat to the implementation of a fair compensation policy. The article substantiates the necessity of implementing a mandatory assessment of such losses for all business entities independently, along with the introduction of separate reporting to establish an information base for future compensation policies. The research is based on the use of methods of analysis, synthesis, modeling, analogy and comparison. Calculation methods and forecasting methods were applied during the approbation of the appraisal Methodology.
{"title":"INFORMATION PROVISION FOR ASSESSING LOST PROFITS OF AN AGRICULTURAL ENTERPRISE AS A RESULT OF THE WAR","authors":"V. Zhuk, M. Pugachov, Yuliia Bezdushna, Oleksandr Shpykuliak","doi":"10.32342/2074-5354-2024-2-61-11","DOIUrl":"https://doi.org/10.32342/2074-5354-2024-2-61-11","url":null,"abstract":"The article offers a critical assessment of both international and national methodologies for determining direct and indirect damage to agricultural enterprises caused by war. It proposes laying the groundwork for a fair and corruption-free compensation policy by enhancing information support for loss assessment, based on the financial and statistical reporting of economic entities. Methodological approaches to damage assessment and the results of such assessments, as outlined in the «Ukraine Rapid Damage and Needs Assessment: February 2022 - February 2023» report, conducted by the World Bank in collaboration with the European Union, the United Nations, and the Government of Ukraine. The influence of various factors on the formation of indirect losses of enterprises was evaluated. Specifically, the factors affecting the reduction of selling prices for agricultural products, decrease in production volumes, and increase in production costs were analyzed. The impact of these factors was assessed based on relevant statistical data from 2019 to 2021 and 2022. The influence of the factor of increased production costs on the formation of enterprise losses due to war was demonstrated using the example of an agricultural enterprise’s activities in both pre-war and war periods. In-depth studies of indirect damage of enterprises that did not suffer direct damage from military operations was conducted, with the aim of using such information in the compensation policy of the state. In particular, the Appraisal Methodology, developed by the Ministry of Economy and the State Property Fund of Ukraine and required for use by appraisers and forensic experts when assessing damages and lost profits, was approved. Based on the results of its implementation, it was determined that for an average successful agricultural enterprise, the lost profit could amount to up to 1.4 million USD annually. This confirms the hypothesis that, irrespective of direct damage, all businesses incur indirect losses due to the war. Thus, the findings demonstrate that the current normative approach, which dictates that indirect losses of enterprises are compensated only if direct damage is caused by military actions, is unjustified. The widespread neglect of these losses poses a threat to the implementation of a fair compensation policy. The article substantiates the necessity of implementing a mandatory assessment of such losses for all business entities independently, along with the introduction of separate reporting to establish an information base for future compensation policies. The research is based on the use of methods of analysis, synthesis, modeling, analogy and comparison. Calculation methods and forecasting methods were applied during the approbation of the appraisal Methodology.","PeriodicalId":510932,"journal":{"name":"Academic Review","volume":" 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141676732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In modern times, economic security stands as one of the primary strategic objectives for any state. However, achieving economic security is unattainable without the stable operation of enterprises. Amidst a constantly evolving external environment, the economic security of enterprises becomes a prerequisite for their survival. To this end, evaluating the financial indicators of enterprises and identifying areas for improvement are imperative. The state of an enterprise’s financial indicators is traditionally regarded as the primary factor ensuring its economic security, as these indicators reflect the ultimate outcome of its operations. To analyze the financial indicators of an enterprise effectively, it is essential to establish evaluation criteria and parameters. The significance of accurately defining criteria for evaluating the financial indicators of a company primarily stems from the necessity to ensure its security and formulate and execute effective management decisions. Relevance of the topic. Today, enterprises operate amidst various uncertainties such as crises, pandemics, inflationary processes, and price fluctuations observed worldwide. In such conditions, enterprises are compelled to operate efficiently, compete for market influence and income, accurately assess and enhance financial indicators, and identify, analyze, and neutralize negative effects that may threaten economic security. Conversely, enterprises should promptly analyze their financial indicators to develop a set of measures aimed at bolstering their competitive positions and enhancing the efficiency of their operations. These aspects underscore the relevance of the article’s topic. The purpose of the article is to study financial indicators, their evaluation, determination of resources for increasing profit and profitability, and the impact of those indicators on the financial activity of enterprises and economic security. Evaluating the financial indicators of enterprises aims to determine the indicators for analyzing their current financial situation and identifying areas and actions required to enhance these indicators. Additionally, it involves exploring methods to influence the economic security system of enterprises through the improvement of financial indicators. Achieving these objectives necessitates accurate assessment, forecasting, and management decisions to enhance the financial situation of the enterprise. Research methods. The article was written using theoretical-methodical approaches, systematic approach, comparative analysis, factor analysis, graphic analysis and economic-statistical methods. Scientific innovation. It is justified that evaluating the financial condition of an enterprise and assessing its economic security complement and depend on each other, being inseparably linked. Economic security can only be fully ensured in conditions of continuous financial development. It has been established that when evaluating the financial condition of the
{"title":"EVALUATION OF FINANCIAL INDICATORS OF AN ENTERPRISE AS AN ELEMENT OF ECONOMIC SECURITY","authors":"Dilara Amiraslan Amiraslanova, Lala Musallim Valiyeva, Roya Vilayat Gurbanova, Hijran Rafig Kocharli","doi":"10.32342/2074-5354-2024-2-61-10","DOIUrl":"https://doi.org/10.32342/2074-5354-2024-2-61-10","url":null,"abstract":"In modern times, economic security stands as one of the primary strategic objectives for any state. However, achieving economic security is unattainable without the stable operation of enterprises. Amidst a constantly evolving external environment, the economic security of enterprises becomes a prerequisite for their survival. To this end, evaluating the financial indicators of enterprises and identifying areas for improvement are imperative. The state of an enterprise’s financial indicators is traditionally regarded as the primary factor ensuring its economic security, as these indicators reflect the ultimate outcome of its operations. To analyze the financial indicators of an enterprise effectively, it is essential to establish evaluation criteria and parameters. The significance of accurately defining criteria for evaluating the financial indicators of a company primarily stems from the necessity to ensure its security and formulate and execute effective management decisions. Relevance of the topic. Today, enterprises operate amidst various uncertainties such as crises, pandemics, inflationary processes, and price fluctuations observed worldwide. In such conditions, enterprises are compelled to operate efficiently, compete for market influence and income, accurately assess and enhance financial indicators, and identify, analyze, and neutralize negative effects that may threaten economic security. Conversely, enterprises should promptly analyze their financial indicators to develop a set of measures aimed at bolstering their competitive positions and enhancing the efficiency of their operations. These aspects underscore the relevance of the article’s topic. The purpose of the article is to study financial indicators, their evaluation, determination of resources for increasing profit and profitability, and the impact of those indicators on the financial activity of enterprises and economic security. Evaluating the financial indicators of enterprises aims to determine the indicators for analyzing their current financial situation and identifying areas and actions required to enhance these indicators. Additionally, it involves exploring methods to influence the economic security system of enterprises through the improvement of financial indicators. Achieving these objectives necessitates accurate assessment, forecasting, and management decisions to enhance the financial situation of the enterprise. Research methods. The article was written using theoretical-methodical approaches, systematic approach, comparative analysis, factor analysis, graphic analysis and economic-statistical methods. Scientific innovation. It is justified that evaluating the financial condition of an enterprise and assessing its economic security complement and depend on each other, being inseparably linked. Economic security can only be fully ensured in conditions of continuous financial development. It has been established that when evaluating the financial condition of the","PeriodicalId":510932,"journal":{"name":"Academic Review","volume":" 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141676964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-05DOI: 10.32342/2074-5354-2024-2-61-12
H. Mytrofanova, Olha Yevtushenko, Artem Hlukhyy, Mykyta Lugovyy
The article examines the theoretical and methodological principles of integrating artificial intelligence into an organization’s management system. It presents a cumulative model illustrating the impact of artificial intelligence on the organization’s management mechanism, which identifies the subjects of influence, tools of influence, directions, and dimensions of influence. Additionally, it describes the challenges posed by the influence of artificial intelligence on the organization’s management mechanism and outlines the main outcomes of this influence. The ways of improving management productivity in various dimensions (socio-technical, strategic-structural, innovative-organizational, task-oriented, information-system) have been systematized. The main results that the use of artificial intelligence offers to the organization have been highlighted, comprising the automation of routine tasks, the reallocation of working time to strategic and creative tasks, increased efficiency in decision-making through analytics and forecasting provided by artificial intelligence, improved external and internal communication, enhanced effectiveness in HR management, formulation of realistic and achievable strategies aligned with future changes, and the development of innovative products and services. An algorithm for introducing artificial intelligence into the organization’s management system has been proposed. The allocation of 8 stages is substantiated as follows: formation of organizational culture; determination of the goals for implementing artificial intelligence; identification of the main performance indicators; establishment of an information base on the state of the management system; analysis of products using artificial intelligence; integration of artificial intelligence products into the management system; monitoring the results of artificial intelligence implementation; and conducting a management system audit. The factors related to the development, implementation, and adaptation of artificial intelligence within the organization’s management system at each stage of its implementation have been considered. These factors include: rethinking the interaction between people and machines in the work environment; awareness among management and staff; organizational support; openness to innovation; staff resistance to change; the presence of a system for disseminating best practices; availability of critical skills for artificial intelligence implementation; ensuring ethical components such as bias, confidentiality, and transparency; integration of model results into relevant business processes; compatibility with other available information systems; and the satisfaction level of stakeholders with the outcomes of artificial intelligence implementation.
{"title":"METHODOLOGICAL PRINCIPLES OF IMPLEMENTING ARTIFICIAL INTELLIGENCE INTO ORGANIZATIONAL MANAGEMENT SYSTEM","authors":"H. Mytrofanova, Olha Yevtushenko, Artem Hlukhyy, Mykyta Lugovyy","doi":"10.32342/2074-5354-2024-2-61-12","DOIUrl":"https://doi.org/10.32342/2074-5354-2024-2-61-12","url":null,"abstract":"The article examines the theoretical and methodological principles of integrating artificial intelligence into an organization’s management system. It presents a cumulative model illustrating the impact of artificial intelligence on the organization’s management mechanism, which identifies the subjects of influence, tools of influence, directions, and dimensions of influence. Additionally, it describes the challenges posed by the influence of artificial intelligence on the organization’s management mechanism and outlines the main outcomes of this influence. The ways of improving management productivity in various dimensions (socio-technical, strategic-structural, innovative-organizational, task-oriented, information-system) have been systematized. The main results that the use of artificial intelligence offers to the organization have been highlighted, comprising the automation of routine tasks, the reallocation of working time to strategic and creative tasks, increased efficiency in decision-making through analytics and forecasting provided by artificial intelligence, improved external and internal communication, enhanced effectiveness in HR management, formulation of realistic and achievable strategies aligned with future changes, and the development of innovative products and services. An algorithm for introducing artificial intelligence into the organization’s management system has been proposed. The allocation of 8 stages is substantiated as follows: formation of organizational culture; determination of the goals for implementing artificial intelligence; identification of the main performance indicators; establishment of an information base on the state of the management system; analysis of products using artificial intelligence; integration of artificial intelligence products into the management system; monitoring the results of artificial intelligence implementation; and conducting a management system audit. The factors related to the development, implementation, and adaptation of artificial intelligence within the organization’s management system at each stage of its implementation have been considered. These factors include: rethinking the interaction between people and machines in the work environment; awareness among management and staff; organizational support; openness to innovation; staff resistance to change; the presence of a system for disseminating best practices; availability of critical skills for artificial intelligence implementation; ensuring ethical components such as bias, confidentiality, and transparency; integration of model results into relevant business processes; compatibility with other available information systems; and the satisfaction level of stakeholders with the outcomes of artificial intelligence implementation.","PeriodicalId":510932,"journal":{"name":"Academic Review","volume":" 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141676727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-05DOI: 10.32342/2074-5354-2024-2-61-13
Inna Hordieieva, Olga Nezghoda
The development of companies is characterised by the adoption of certain stages of business development, the availability of resources and outcomes. This developmental process is inherently cyclical, requiring companies to remain flexible and adaptive continuously. Each phase of the life cycle is characterised by unique challenges, perspectives and inherent features that require strategic modifications to maintain and enhance competitiveness. A holistic interpretation that integrates both life cycle phases and strategic approaches is necessary for a thorough understanding of a company’s success and market performance. The purpose of this paper is to explore the correlation between the dominant strategy employed by industry leaders, known as “inflexible hippos,” and the various stages of the organizational life cycle. The research objects are the dominant strategy “inflexible hippos” and the ten phases of the organizational life cycle: Courtship, Infant, Go-go, Adolescence, Prime, Maturity, Aristocracy, Early bureaucracy, Bureaucracy, and Death. The subject of the research is to verify the existence of a connection and its type between the research objects. The objective of the study is to ascertain the existence and nature of the connection between these research objects. The research methodology employed morphological, analytical, statistical assessment, and comparative analysis techniques. By comparing morphological statements formulated with expert input, evidence was found regarding the existence and significance of the correlation strength. The study revealed that the correlation between competitive strategy and the phases of the company’s life cycle is strongest in the “Maturity” and “Aristocracy” phases, which dictate the sequence of organizational development. The tightest connection with direct independent mutual influence is observed in the “Go-Go”, “Adolescence”, “Prime”, “Reconstruction”, and “Bureaucracy” phases. The context dependence of this correlation characterizes ongoing change processes: the company retains old features of organizational development while simultaneously acquiring new ones. Evaluating the timeliness and efficiency of managerial decision-making based on the alignment of competitive strategy with the company’s life cycle, influenced by both external and internal factors, is a critical stage in the company’s development process. This study can help companies to develop more effective competitive strategies that respond to their current needs. This can lead to improving companies’ competitiveness, selecting appropriate and effective project actions and their success in the market.
{"title":"THE EMPIRICAL STUDY OF THE CORRELATION BETWEEN THE DOMINANT STRATEGY OF “INFLEXIBLE HIPPOS” AND THE ORGANIZATIONAL LIFE CYCLE","authors":"Inna Hordieieva, Olga Nezghoda","doi":"10.32342/2074-5354-2024-2-61-13","DOIUrl":"https://doi.org/10.32342/2074-5354-2024-2-61-13","url":null,"abstract":"The development of companies is characterised by the adoption of certain stages of business development, the availability of resources and outcomes. This developmental process is inherently cyclical, requiring companies to remain flexible and adaptive continuously. Each phase of the life cycle is characterised by unique challenges, perspectives and inherent features that require strategic modifications to maintain and enhance competitiveness. A holistic interpretation that integrates both life cycle phases and strategic approaches is necessary for a thorough understanding of a company’s success and market performance. The purpose of this paper is to explore the correlation between the dominant strategy employed by industry leaders, known as “inflexible hippos,” and the various stages of the organizational life cycle. The research objects are the dominant strategy “inflexible hippos” and the ten phases of the organizational life cycle: Courtship, Infant, Go-go, Adolescence, Prime, Maturity, Aristocracy, Early bureaucracy, Bureaucracy, and Death. The subject of the research is to verify the existence of a connection and its type between the research objects. The objective of the study is to ascertain the existence and nature of the connection between these research objects. The research methodology employed morphological, analytical, statistical assessment, and comparative analysis techniques. By comparing morphological statements formulated with expert input, evidence was found regarding the existence and significance of the correlation strength. The study revealed that the correlation between competitive strategy and the phases of the company’s life cycle is strongest in the “Maturity” and “Aristocracy” phases, which dictate the sequence of organizational development. The tightest connection with direct independent mutual influence is observed in the “Go-Go”, “Adolescence”, “Prime”, “Reconstruction”, and “Bureaucracy” phases. The context dependence of this correlation characterizes ongoing change processes: the company retains old features of organizational development while simultaneously acquiring new ones. Evaluating the timeliness and efficiency of managerial decision-making based on the alignment of competitive strategy with the company’s life cycle, influenced by both external and internal factors, is a critical stage in the company’s development process. This study can help companies to develop more effective competitive strategies that respond to their current needs. This can lead to improving companies’ competitiveness, selecting appropriate and effective project actions and their success in the market.","PeriodicalId":510932,"journal":{"name":"Academic Review","volume":" 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141673720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-05DOI: 10.32342/2074-5354-2024-2-61-3
Ihor Leonidov, Victor M. Tarasevich, Waldemar Izdebski, Svitlana P. Koliada
In the context of the dissemination of the knowledge information revolution, research on the peculiarities of the transfer of advanced technologies as a manifestation of their appropriation as intellectual property becomes relevant. The goal is to develop a mechanism for managing the transfer of advanced technologies and to identify the functions of their subjects, obstacles, and the content of their reproduction. The integration method is a synthesis of several approaches: a) dialecticalmaterialistic method is employed to reveal the driving role of contradictions in the evolution of the appropriation of information-digital intellectual products; b) modeling is used for logical generalization and concretization of the interaction among subjects involved in appropriating information-digital intellectual products; c) activity-praxiology approach is employed in analyzing the structure and overall outcomes of the operation of the machine-sized cognitive system as a component of human activity; d) system-synergistic method is utilized to establish objective development tendencies of public production through the formalization of the functioning of the production use of informationdigital intellectual products. The transformational characteristics of the appropriation of informationdigital intellectual product as one aspect of the transfer of advanced technologies have been identified. The functions of the subjects of appropriation of information-digital intellectual property have been specified according to the following economic roles: “creator-producer”, “producer-mediator”, and “mediator-consumer”. The theoretical concepts of the typology of stages of appropriation of information-digital intellectual product have been refined based on partial and general criteria. The essence of the disproportions in the reproduction of subjects of the transfer of advanced technologies (creators, producers, mediator-entrepreneurs) has been revealed. Relevant statistical data on the latency and actualization of the appropriation of information-digital intellectual product in a strategic perspective have been identified to reflect the content of barriers to its production use. The constant accumulation of disproportions in the reproduction of subjects of the transfer of advanced technologies is an obstacle to the development of social production. The prospects of eliminating this obstacle in the direction of externalizing the appropriation of information-digital intellectual product in its production use and self-value enhancement have been formalized in a system of equations. As limitations of such a system of equations, a set of functions and alternatives for the production use of information-digital intellectual product according to the economic roles of its subjects are indicated.
{"title":"ECONOMIC ASPECTS OF APPROPRIATION OF INFORMATION-DIGITAL INTELLECTUAL PRODUCT IN THE CONDITIONS OF MODERN KNOWLEDGE INFORMATION REVOLUTION","authors":"Ihor Leonidov, Victor M. Tarasevich, Waldemar Izdebski, Svitlana P. Koliada","doi":"10.32342/2074-5354-2024-2-61-3","DOIUrl":"https://doi.org/10.32342/2074-5354-2024-2-61-3","url":null,"abstract":"In the context of the dissemination of the knowledge information revolution, research on the peculiarities of the transfer of advanced technologies as a manifestation of their appropriation as intellectual property becomes relevant. The goal is to develop a mechanism for managing the transfer of advanced technologies and to identify the functions of their subjects, obstacles, and the content of their reproduction. The integration method is a synthesis of several approaches: a) dialecticalmaterialistic method is employed to reveal the driving role of contradictions in the evolution of the appropriation of information-digital intellectual products; b) modeling is used for logical generalization and concretization of the interaction among subjects involved in appropriating information-digital intellectual products; c) activity-praxiology approach is employed in analyzing the structure and overall outcomes of the operation of the machine-sized cognitive system as a component of human activity; d) system-synergistic method is utilized to establish objective development tendencies of public production through the formalization of the functioning of the production use of informationdigital intellectual products. The transformational characteristics of the appropriation of informationdigital intellectual product as one aspect of the transfer of advanced technologies have been identified. The functions of the subjects of appropriation of information-digital intellectual property have been specified according to the following economic roles: “creator-producer”, “producer-mediator”, and “mediator-consumer”. The theoretical concepts of the typology of stages of appropriation of information-digital intellectual product have been refined based on partial and general criteria. The essence of the disproportions in the reproduction of subjects of the transfer of advanced technologies (creators, producers, mediator-entrepreneurs) has been revealed. Relevant statistical data on the latency and actualization of the appropriation of information-digital intellectual product in a strategic perspective have been identified to reflect the content of barriers to its production use. The constant accumulation of disproportions in the reproduction of subjects of the transfer of advanced technologies is an obstacle to the development of social production. The prospects of eliminating this obstacle in the direction of externalizing the appropriation of information-digital intellectual product in its production use and self-value enhancement have been formalized in a system of equations. As limitations of such a system of equations, a set of functions and alternatives for the production use of information-digital intellectual product according to the economic roles of its subjects are indicated.","PeriodicalId":510932,"journal":{"name":"Academic Review","volume":" 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141677163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Modern integration priorities for Ukraine necessitate defining and measuring its competitive power (CP) as an EU candidate country. One of the key objectives of competitive policy is identifying the factors that can enhance Ukraine’s CP, thereby strengthening its European integration potential. The study aims to develop a model that comprehensively examines the interdependence and interaction of parameters and components of Ukraine’s CP across global, regional, and national dimensions in the event of its potential accession to the EU. To achieve this goal, the study utilizes a special statistical indicator, Spearman’s rank correlation coefficient, as part of the regression-correlation analysis framework. The article provides an assessment of three main aspects: (1) Ukraine’s competitive potential in both global and regional economic systems; (2) dependencies within datasets representing ratings, as well as the variance in ranks of factor values (one of the components of the global CP index) and performance characteristics; (3) the reserve competitive advantages of Ukraine, which are evaluated by comparing actual and potentially possible values of the rank correlation coefficients of the components of the global CP index and its integral value. The calculation results indicate that Ukraine’s CP at the time of potential EU participation is low, primarily due to Ukraine lagging behind the EU members across a multitude of factors. This underscores the necessity for not only formal accession and legal unification but also a series of comprehensive reforms to attain tangible competitive advantages from participation in this integration association.
{"title":"EMPIRICAL TEST OF THE INTEGRATION POTENTIAL OF UKRAINE’S COMPETITIVE POWER IN THE EVENT OF POSSIBLE ACCESSION TO THE EU","authors":"Olena Zayats, Olena Pryiatelchuk, Maryna Korol, Pavlo Dziuba","doi":"10.32342/2074-5354-2024-2-61-19","DOIUrl":"https://doi.org/10.32342/2074-5354-2024-2-61-19","url":null,"abstract":"Modern integration priorities for Ukraine necessitate defining and measuring its competitive power (CP) as an EU candidate country. One of the key objectives of competitive policy is identifying the factors that can enhance Ukraine’s CP, thereby strengthening its European integration potential. The study aims to develop a model that comprehensively examines the interdependence and interaction of parameters and components of Ukraine’s CP across global, regional, and national dimensions in the event of its potential accession to the EU. To achieve this goal, the study utilizes a special statistical indicator, Spearman’s rank correlation coefficient, as part of the regression-correlation analysis framework. The article provides an assessment of three main aspects: (1) Ukraine’s competitive potential in both global and regional economic systems; (2) dependencies within datasets representing ratings, as well as the variance in ranks of factor values (one of the components of the global CP index) and performance characteristics; (3) the reserve competitive advantages of Ukraine, which are evaluated by comparing actual and potentially possible values of the rank correlation coefficients of the components of the global CP index and its integral value. The calculation results indicate that Ukraine’s CP at the time of potential EU participation is low, primarily due to Ukraine lagging behind the EU members across a multitude of factors. This underscores the necessity for not only formal accession and legal unification but also a series of comprehensive reforms to attain tangible competitive advantages from participation in this integration association.","PeriodicalId":510932,"journal":{"name":"Academic Review","volume":" 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141673578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-05DOI: 10.32342/2074-5354-2024-2-61-1
Sergiy B. Kholod, Volodymyr Momot
The article explores the peculiarities of ensuring academic integrity and data reliability in preparation for publication in sources indexed in Web of Science. The main stakeholders in the process of ensuring data integrity and reliability are identified. The main technical and ethical issues that arise in the organization of this process are highlighted. The publications in the Academic Review for the period of indexing this source in WoS are analyzed in terms of ensuring data reliability and the relevant policy is reviewed. The main aspects of ensuring academic integrity and data reliability in the format of “science-society” interaction are analyzed and the call of the Alfred Nobel University for the creation of a research quality assurance association in Ukraine, which would combine the efforts of the scientific community and society aimed at ensuring integrity and reliability, is formulated. The article describes in detail the initiative of the Alfred Nobel University to ensure academic integrity and reliability of data in publications indexed in scientific databases and outlines the conditions for participation in it. The ethical and technical problems of using artificial intelligence tools in the preparation of scientific publications are considered. The possibilities of counteracting academic plagiarism using artificial intelligence tools are analyzed. Recommendations are given on the use of artificial intelligence tools to improve the quality of research, especially when analyzing achievements in the chosen field and choosing a methodology. Recommendations for ensuring academic integrity in the use of artificial intelligence tools in the preparation of publications and the development of appropriate journal policies on this issue are formulated. A quantitative comparison of the time parameters of the preparatory cycle of the main publishers of scientific literature is carried out. The author presents the sign “Perspicuitas et Fides” (transparency and reliability – Latin), which will be used by the editorial board to mark publications in which the authors are responsible for ensuring the reliability of the original research data and open access to them. The current structure of scientific publications on the websites of leading scientific publishers is analyzed. The motivation of scientists to ensure open access to data was analyzed. An appeal was made to other colleagues who administer publications indexed in scientometric databases to join the initiatives of the Alfred Nobel University.
文章探讨了在准备发表《科学网》收录的资料时确保学术诚信和数据可靠性的特殊性。确定了确保数据完整性和可靠性过程中的主要利益相关者。文章强调了在组织这一过程中出现的主要技术和伦理问题。从确保数据可靠性的角度分析了《学术评论》在 WoS 索引该来源期间的出版物,并审查了相关政策。文章分析了在 "科学-社会 "互动形式下确保学术诚信和数据可靠性的主要方面,并提出了阿尔弗雷德-诺贝尔大学关于在乌克兰建立研究质量保证协会的呼吁,该协会将结合科学界和社会的努力,旨在确保诚信和可靠性。文章详细介绍了阿尔弗雷德-诺贝尔大学为确保学术诚信和科学数据库索引中出版物数据的可靠性而提出的倡议,并概述了参与该倡议的条件。文章考虑了在编写科学出版物时使用人工智能工具的伦理和技术问题。分析了利用人工智能工具打击学术剽窃行为的可能性。就使用人工智能工具提高研究质量提出建议,特别是在分析所选领域的成就和选择研究方法时。提出了在使用人工智能工具编写出版物时确保学术诚信的建议,并就这一问题制定了适当的期刊政策。对主要科学文献出版商的筹备周期时间参数进行了定量比较。作者提出了 "Perspicuitas et Fides"(透明度和可靠性--拉丁语)标志,编辑委员会将使用该标志来标示作者有责任确保原始研究数据可靠性和开放获取的出版物。对主要科学出版商网站上科学出版物的现有结构进行了分析。分析了科学家确保数据开放获取的动机。呼吁其他负责管理被科学计量数据库收录的出版物的同行加入阿尔弗雷德-诺贝尔大学的倡议。
{"title":"PROVIDING ACADEMIC HONESTY AND DATA RELIABILITY TO WOS INDEXED SOURCES","authors":"Sergiy B. Kholod, Volodymyr Momot","doi":"10.32342/2074-5354-2024-2-61-1","DOIUrl":"https://doi.org/10.32342/2074-5354-2024-2-61-1","url":null,"abstract":"The article explores the peculiarities of ensuring academic integrity and data reliability in preparation for publication in sources indexed in Web of Science. The main stakeholders in the process of ensuring data integrity and reliability are identified. The main technical and ethical issues that arise in the organization of this process are highlighted. The publications in the Academic Review for the period of indexing this source in WoS are analyzed in terms of ensuring data reliability and the relevant policy is reviewed. The main aspects of ensuring academic integrity and data reliability in the format of “science-society” interaction are analyzed and the call of the Alfred Nobel University for the creation of a research quality assurance association in Ukraine, which would combine the efforts of the scientific community and society aimed at ensuring integrity and reliability, is formulated. The article describes in detail the initiative of the Alfred Nobel University to ensure academic integrity and reliability of data in publications indexed in scientific databases and outlines the conditions for participation in it. The ethical and technical problems of using artificial intelligence tools in the preparation of scientific publications are considered. The possibilities of counteracting academic plagiarism using artificial intelligence tools are analyzed. Recommendations are given on the use of artificial intelligence tools to improve the quality of research, especially when analyzing achievements in the chosen field and choosing a methodology. Recommendations for ensuring academic integrity in the use of artificial intelligence tools in the preparation of publications and the development of appropriate journal policies on this issue are formulated. A quantitative comparison of the time parameters of the preparatory cycle of the main publishers of scientific literature is carried out. The author presents the sign “Perspicuitas et Fides” (transparency and reliability – Latin), which will be used by the editorial board to mark publications in which the authors are responsible for ensuring the reliability of the original research data and open access to them. The current structure of scientific publications on the websites of leading scientific publishers is analyzed. The motivation of scientists to ensure open access to data was analyzed. An appeal was made to other colleagues who administer publications indexed in scientometric databases to join the initiatives of the Alfred Nobel University.","PeriodicalId":510932,"journal":{"name":"Academic Review","volume":" 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141676325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-05DOI: 10.32342/2074-5354-2024-2-61-4
Roman Moskalyk, Valeriya Balashova
Most publications justify that digitalization is a source of economic growth, to a greater extent in the countries with higher levels of economic development. However, some papers fail to find empirical evidence supporting this claim, attributing it to digitalization being in its initial stages or to the presence of the digitalization paradox. Economic literature exhibits a degree of ambiguity in its conclusions regarding the role of the digital economy in growth. Researchers employ different measures of digitalization, country and year samples, control variables in regression equation, as well as different regression methods, which can provoke ambiguous effects on the parameters of digital variables. The purpose of the article is to identify the role of digitalization in economic growth by justifying an economic growth model with the digitalization index and providing detailed discussions on our sample of countries over recent years, along with options for regression estimators. The article utilizes statistical data from the World Bank, European Commission, and Heritage Foundation. Methods such as system analysis, statistical analysis, and the regression estimator of panel data with fixed effects are implemented to identify the role of digitalization in economic growth. We have designed an economic growth model incorporating the Digital Economy and Society Index (DESI) of EU member states for the years 2017-2022, utilizing available data. The results reveal a positive and significant causal effect of digitization on gross output growth. Specifically, a 1% increase in the digitalization index results in GDP growth of almost 0.2%. Moreover, we observe the important roles of capital, labor, trade, human capital, and intellectual property rights in driving growth, consistent with the theory of endogenous growth. Proving the importance of digitalization for economic growth can be an argument for policies aimed at promoting digitalization. We suggest further research on the role of digitalization at a more disaggregated level of industries. However, our study does not demonstrate a statistically significant effect of research activity and institutional quality on gross output. We have discussed possible reasons for this and propose further research in these areas.
{"title":"ECONOMIC GROWTH MODEL: THE ROLE OF DIGITALIZATION","authors":"Roman Moskalyk, Valeriya Balashova","doi":"10.32342/2074-5354-2024-2-61-4","DOIUrl":"https://doi.org/10.32342/2074-5354-2024-2-61-4","url":null,"abstract":"Most publications justify that digitalization is a source of economic growth, to a greater extent in the countries with higher levels of economic development. However, some papers fail to find empirical evidence supporting this claim, attributing it to digitalization being in its initial stages or to the presence of the digitalization paradox. Economic literature exhibits a degree of ambiguity in its conclusions regarding the role of the digital economy in growth. Researchers employ different measures of digitalization, country and year samples, control variables in regression equation, as well as different regression methods, which can provoke ambiguous effects on the parameters of digital variables. The purpose of the article is to identify the role of digitalization in economic growth by justifying an economic growth model with the digitalization index and providing detailed discussions on our sample of countries over recent years, along with options for regression estimators. The article utilizes statistical data from the World Bank, European Commission, and Heritage Foundation. Methods such as system analysis, statistical analysis, and the regression estimator of panel data with fixed effects are implemented to identify the role of digitalization in economic growth. We have designed an economic growth model incorporating the Digital Economy and Society Index (DESI) of EU member states for the years 2017-2022, utilizing available data. The results reveal a positive and significant causal effect of digitization on gross output growth. Specifically, a 1% increase in the digitalization index results in GDP growth of almost 0.2%. Moreover, we observe the important roles of capital, labor, trade, human capital, and intellectual property rights in driving growth, consistent with the theory of endogenous growth. Proving the importance of digitalization for economic growth can be an argument for policies aimed at promoting digitalization. We suggest further research on the role of digitalization at a more disaggregated level of industries. However, our study does not demonstrate a statistically significant effect of research activity and institutional quality on gross output. We have discussed possible reasons for this and propose further research in these areas.","PeriodicalId":510932,"journal":{"name":"Academic Review","volume":" 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141676645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}