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Публікація Assessment of logistics service quality based on the application of fuzzy methods modeling(Problems and Perspectives in Management, 2022) Kolodizieva, T.; Zhelezniakova, E.; Melnykova, K.; Pysmak, V.; Kolodiziev, O.Improving the logistics service quality (LSQ) requires its assessment to identify appropriate reserves, which actualizes the scientific task of improving the appropriate methodological support for LSQ assessment. The purpose of this paper is to develop a model for assessing the quality of logistics services based on a specified list of criteria, their grouping, and the application of the mathematical apparatus of the fuzzy sets theory. The study substantiates the expediency of using the fuzzy set method to assess the quality of logistics service and builds an LSQ assessment model that includes 12 criteria grouped into four groups: company reputation, product availability/quality, reliability/flexibility, and consumer service. As a result of assessing the quality of logistics service, an integral indicator was obtained, which made it possible to determine the evaluations of its components: product availability/quality is rated high; reliability/flexibility – average; consumer service – good; and company reputation – poor. The obtained results indicate that such an aspect of logistics service quality assessment as company reputation needs particular attention, which confirms the modern trend of prioritizing the perception of the quality of logistics service, personal service/contact, and empathy by customers. Therefore, customers' perception of the quality of logistics service becomes a decisive factor in the competitive struggle in the logistics services market. Moreover, it is a bottleneck in the process of increasing LSQ, which requires further research to develop appropriate management mechanisms.Публікація Digital transformation as a tool for creating an inclusive economy in Ukraine during wartime(LLC “Consulting Publishing Company “Business Perspectives”, 2024) Kolodiziev, O.; Shcherbak, V.; Kostyshyna, T.; Krupka, M.; Riabovolyk, T.; Androshchuk, I.; Kravchuk, N.The russian aggression against Ukraine underscores the need to reassess regional strategies for digitalization and inclusivity. The study aims to identify strategies for enhancing these areas during wartime. Taxonomy and cluster and factor analysis methods have shown that regions with a higher level of digitalization have lower levels of poverty and unemployment. Specifically, regions in the top quartile of the digitalization index reported, on average, 12% lower unemployment rates compared to those in the bottom quartile. The analysis identifies distinct regional groupings: areas such as Zaporizhzhia, Kherson, Donetsk, and Luhansk are partially occupied and exhibiting low digitalization and inclusivity, in contrast with Mykolaiv and Kirovohrad that show moderate progress. Rural regions face a significant digital divide, with only 60% of rural households having stable internet access compared to 90% in urban areas. Factor analysis confirms that wartime conditions have accelerated digital transformation, evidenced by a 42% increase in Diia app usage from 2021 to 2023 and a rise in internet penetration from 62% in 2019 to 78% in 2023. Additionally, IT sector export revenues grew by 20% in 2022, and technology startups doubled between 2019 and 2023. The study proposes a strategic framework for regional adaptation: intensive digitalization and inclusivity for Zaporizhzhia, Kherson, Donetsk, and Luhansk regions; digitalization for Mykolaiv region; inclusivity for Kirovohrad and Zakarpattia regions; and balanced adaptation for Chernivtsi and Khmelnytskyi regions. Recommended measures include modernizing digital infrastructure, expanding educational opportunities, supporting startups, and aligning digital and social initiatives to foster regional resilience and development.Публікація Factors influencing the multinational banks’ decisions to curtail operations in russia: Does ESG matter?(2024) Rohov, H.; Kolodiziev, O.; Yehorycheva, S.; Krupka, I.; Zaplatynskyi, M.The paper is devoted to an under-researched topic of the international business community's reaction to Russia's armed aggression against Ukraine. It aims to evaluate how such factors as G7 and EU financial sanctions, institutional pressure, ESG ratings, and asset value of multinational banks in Russia influence their decisions to reduce activities in the invading country. The study was conducted based on the Yale CELI database of companies leaving and staying in Russia, using the classification tree method. The results of this study show that none of the banks headquartered in G7 and EU member states that had no or relatively little assets in Russia before the invasion are doing business there on a pre-war scale. Unlike banks headquartered in other countries, most of them either curtailed their presence in that market or exited. This indicates that financial sanctions imposed by G7 and EU member states and institutional pressure on banks in these countries to withdraw from the Russian market have proven effective to a certain extent. However, these factors do not meaningfully influence the business of multinational banks with significant assets in Russia. The study has not confirmed the hypothesis that a bank with higher ESG ratings is more likely to curtail its operations in the market of an aggressor country and withdraw. However, nearly all banks that scaled back significant activities or even pulled out of Russia have better ESG indicators than the industry average. The study results suggest the feasibility of improving the methodologies of ESG rating providers for accurately measuring business reactions to aggression and war crimes.Публікація Foreign trade policy and its impact on economic growth(2023) Telnova, H.; Kolodiziev, O.; Petchenko, M.; Yakushev, O.; Shulga, N.; Kochetkov, V.The empirical research on the various effects of international trade in periods of a steady world economy, crisis phenomena and post-crisis recovery enables the formation of generalized principles of foreign trade policy aimed at economic growth. The purpose of the paper consists in the determination of the impact of foreign trade factors on economic growth in each of the periods of the economic state and the substantiation of the hypothesis regarding the expediency of adapting foreign trade to the economic situation in the country. The authors of the paper use the tool of fuzzy neural networks for spatial data for 82 countries of the world at time intervals of stability, crisis and post-crisis recovery. This made it possible to find a rational approach to the formation of foreign trade guidelines under different macroeconomic conditions. The results of the research revealed that during periods of a steady economy, the maximization of realistically achievable rates of economic growth (about 10-20%) occurs at average and relatively equal levels of export and import (from 30% to 60%). At the same time, a potential surge in the rate of economic growth may be achieved due to a reduction in the level of exports while maintaining the average level of imports. During crisis phenomena, countries that have limited imports and maintained the average level of export of their products are the most stable, and the potential opportunities for increasing the rate of economic growth are seen in the increase of imports to the pre-crisis level. During post-crisis recovery, the greatest potential rates of economic growth are achieved with the maximum possible increase in exports and a reduction in the level of imports. It is determined that the export of high-tech products is an influential factor in economic growth. However, its level should be rationally adapted to the macroeconomic conditions and the structure of international trade, based on the theory of mercantilism.Публікація Resilience Benchmarking: How Small Hotels Can Ensure Their Survival and Growth during Global Disruptions(MDPI, 2024) Kolodiziev, O.; Dorokhov, O.; Shcherbak, V.; Dorokhova, L.; Ismailov, A.; Figueiredo, R.This study aimed to develop a resilient benchmarking system for small hotels in Ukraine, designed to ensure their survival and growth amid global disruptions and local crises. Given the severe challenges associated with the COVID-19 pandemic and military actions, the resilience of the regional tourism business is particularly relevant. The methods used in this study, including factor and cluster analysis, taxonomy, and dendrograms, enabled the development of development programs for two clusters of hotels: those located in areas with increased military risk and those in relatively safe territories. The taxonomic analysis revealed signifcant differences in managerial practices and operational effciency, largely determined by the geographic location of the hotels. Hotels in active combat zones experienced a 40% reduction in tourist fow and fnancial instability, while hotels in safe areas demonstrated a 30% higher level of customer satisfaction. The application of advanced security systems and modern marketing techniques led to a 40% reduction in incidents.Публікація Risk-based approach to combating money laundering(2020) Pukala, R.; Chmutova, I.; Ponomarenko, V.; Vnukova, N.; Kolodiziev, O.; Vovk, V.; Zhanna, A.; Olena, B.; Hontar, D.; Zhezherun, Y.; Korvat, O.; Kurkach, S.; Omelchenko, O.; Rats, O.The findings provided in the monograph address the development aspects of the risk-based approach to combating money laundering. The analysis includes international standards applied to regulate and develop the risk-oriented financial monitoring system; financial intermediaries’ functioning peculiarities under the economy digitalization conditions and the peculiarities of primary financial monitoring conducted in the insurance industry and by banks; theoretical and methodological provisions for assessment and banks’ risk management from the standpoint of the factors influencing the money laundering processes.Публікація The Impact of Refugee Startups on Host Country Economies: Business Models and Economic Adaptation(2024) Kolodiziev, O.; Gukaliuk, A.; Shcherbak, V.; Riabovolyk, T.; Androshchuk, I.; Pas Y.The current global economic landscape is characterized by turbulence and crises, such as the COVID-19 pandemic and military conflicts, which have disrupted the development of innovative startups. In this context, it becomes essential to explore how refugee startups influence the economies of host countries and facilitate their adaptation to specific conditions. This article aims to examine the most suitable and optimal business models for such startups, the industries they predominantly operate in, their overall impact on economic growth, and the potential for cross-border collaboration among refugee entrepreneurs. Additionally, the article intends to analyze the relevance of existing financing models for startup sustainability and explore innovative methods and instruments that can effectively address the challenges faced by refugee startups. By investigating the alignment between financing models and the current economic state, this study provides valuable insights for fostering economic recovery and development in regions hosting refugee populations. In summary, this analysis offers insights into the impacts of refugee startups on host economies, focusing on their suitability and impact on economic growth, the relevance of financing models in sustaining these startups, and the potential for cross-border collaboration among refugee entrepreneurs.Публікація The social responsibility of dual education in an unstable environment(2023) Kolodiziev, O.; Shcherbak, V.; Krupka, M.; Kovalenko, V.; Kolodizieva, T.; Yatsenko, V.BACKGROUND AND OBJECTIVES: In a context of instability caused by various crises, including military crises, the higher education system is at great risk. Practice-oriented (dual) education is one of the most effective ways to address this problem. The innovation of this study is that for the first time a theoretical and practical model for involving all stakeholders in this process has been created and tested. The aim of the article is to substantiate a socially responsible dual education system in an unstable environment. METHODS: In terms of objective, this is an applied and quantitative study. The study population is estimated at 13 universities, 10 companies, 50 students between November 2021 and November 2022. The sample size is estimated using the Cochrane formula. A standard 5-point Likert scale questionnaire was used to collect data, where groups of questions corresponded to 4 hypotheses. All data were investigated by factor and cluster analysis using STATISTICA software (version 10.0). FINDINGS: All four hypotheses were confirmed. Before the war, the first and second hypotheses were prioritized. According to them, the process approach of social responsibility of dual education allows designing and launching a system of social responsibility of dual education and creating a talent pool at the employing enterprise. After the outbreak of hostilities, the priorities changed. The third and fourth hypotheses allow, through the organization of supportive (enabling) processes, to ensure the effective functioning of the system. As a result, the majority of stakeholders (31%) consider it necessary to modernize the mentoring system and provide graduates with relevant professional skills, while methodological and career guidance came in second and third (16% and 13% respectively). CONCLUSION: Using the theoretical and practical model of formation and implementation of dual education in the unstable conditions of Ukraine will help to solve the problems of the country out of crisis, post-war recovery of higher education system, to bring the requirements of production with the possibilities of training specialists in universities and can be applied in other countries in a similar situation.