Pub Date : 2023-12-03DOI: 10.15549/jeecar.v10i7.1621
Natalia Kharadze, N. Katsitadze, Maia Giorgobiani, Lia Dzebisauri, D. Pirtskhalaishvili
This research explores the interplay between employee motivation and leadership qualities within the Ministry of Economy and Sustainable Development and the Ministry of Finance of Georgia. A survey involving 821 government employees was conducted to identify the factors influencing employee motivation and the potential barriers associated with dissatisfaction with supervisors. The study uses statistical methods to identify critical factors shaping motivation, including principal component analysis and Spearman correlation coefficients. Key determinants include satisfaction with supervisors, external motivators, and performance evaluations. Employee engagement emerges as a significant driver, particularly for men and younger employees. The study also reveals variations in motivation related to gender and age, with women and senior employees displaying higher motivation levels. Furthermore, the research identifies dominant leadership qualities that impact employees' desire for managerial change, a primary motivational barrier. This study offers practical insights for enhancing employee motivation and optimizing leadership strategies, particularly within the Georgian Ministry of Economy and Sustainable Development and the Ministry of Finance.
{"title":"The nexus of employee motivation and leadership: A study of the government employees in Georgia","authors":"Natalia Kharadze, N. Katsitadze, Maia Giorgobiani, Lia Dzebisauri, D. Pirtskhalaishvili","doi":"10.15549/jeecar.v10i7.1621","DOIUrl":"https://doi.org/10.15549/jeecar.v10i7.1621","url":null,"abstract":"This research explores the interplay between employee motivation and leadership qualities within the Ministry of Economy and Sustainable Development and the Ministry of Finance of Georgia. A survey involving 821 government employees was conducted to identify the factors influencing employee motivation and the potential barriers associated with dissatisfaction with supervisors. The study uses statistical methods to identify critical factors shaping motivation, including principal component analysis and Spearman correlation coefficients. Key determinants include satisfaction with supervisors, external motivators, and performance evaluations. Employee engagement emerges as a significant driver, particularly for men and younger employees. The study also reveals variations in motivation related to gender and age, with women and senior employees displaying higher motivation levels. Furthermore, the research identifies dominant leadership qualities that impact employees' desire for managerial change, a primary motivational barrier. This study offers practical insights for enhancing employee motivation and optimizing leadership strategies, particularly within the Georgian Ministry of Economy and Sustainable Development and the Ministry of Finance.","PeriodicalId":127595,"journal":{"name":"Journal of Eastern European and Central Asian Research (JEECAR)","volume":"38 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138605518","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}
This study is devoted to considering the level of influence of some factors on the growth of teachers' incomes in the digital economy. The main research hypothesis is that there is a certain level of influence of qualitative and quantitative factors on the relationship between sales of digital educational products (resources) and the income of authors. The analysis in the article was carried out using the fuzzy output logic method in the MATLAB software package. Statistical data from Azerbaijan for the years 2010–2020 were used in the study. It was determined that quality indicators such as the ease of finding the digital product during the search, the availability of new information on the digital educational product, the image of the product owner, and the usefulness of the digital educational product for the buyer have a moderate to high effect on the increase of the authors' income.
{"title":"The impact of digitalization on the income of authors of educational products: Analysis of the influence of factors based on fuzzy logic","authors":"Afag Huseyn, Elnura Shafizade, Sugra Humbatova, Tahmasib Huseynov","doi":"10.15549/jeecar.v10i7.1371","DOIUrl":"https://doi.org/10.15549/jeecar.v10i7.1371","url":null,"abstract":"This study is devoted to considering the level of influence of some factors on the growth of teachers' incomes in the digital economy. The main research hypothesis is that there is a certain level of influence of qualitative and quantitative factors on the relationship between sales of digital educational products (resources) and the income of authors. The analysis in the article was carried out using the fuzzy output logic method in the MATLAB software package. Statistical data from Azerbaijan for the years 2010–2020 were used in the study. It was determined that quality indicators such as the ease of finding the digital product during the search, the availability of new information on the digital educational product, the image of the product owner, and the usefulness of the digital educational product for the buyer have a moderate to high effect on the increase of the authors' income.","PeriodicalId":127595,"journal":{"name":"Journal of Eastern European and Central Asian Research (JEECAR)","volume":"40 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138605508","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 : 2023-12-03DOI: 10.15549/jeecar.v10i7.1426
Mykola (Nikolay) Megits, Daniel Meyer
This research article examines the economic analysis of the influence of the Russian war in Ukraine on Poland and U.S. trade. The study employs a combination of quantitative and qualitative research methods to investigate the impact of the conflict on trade dynamics between the two countries. The quantitative analysis utilizes trade data, including import and export volumes, trade balances, trade flows, and economic output from 2003 to 2022 using TradeMap data. Descriptive and various econometric estimations were estimated. The qualitative analysis involves the evaluation of policy responses, trade strategies, and business decisions made in response to the conflict. The results indicate a rise in Polish exports to the U.S., but dominated by specific products. This research contributes to a comprehensive understanding of how the Russian war in Ukraine has affected Poland's trade with the U.S., provides valuable insights into the economic consequences of the conflict, and identifies potential avenues for future trade cooperation between Poland and the U.S.
{"title":"An economic analysis of the impact of the Russian War in Ukraine on the Poland-U.S. trade","authors":"Mykola (Nikolay) Megits, Daniel Meyer","doi":"10.15549/jeecar.v10i7.1426","DOIUrl":"https://doi.org/10.15549/jeecar.v10i7.1426","url":null,"abstract":"This research article examines the economic analysis of the influence of the Russian war in Ukraine on Poland and U.S. trade. The study employs a combination of quantitative and qualitative research methods to investigate the impact of the conflict on trade dynamics between the two countries. The quantitative analysis utilizes trade data, including import and export volumes, trade balances, trade flows, and economic output from 2003 to 2022 using TradeMap data. Descriptive and various econometric estimations were estimated. The qualitative analysis involves the evaluation of policy responses, trade strategies, and business decisions made in response to the conflict. The results indicate a rise in Polish exports to the U.S., but dominated by specific products. This research contributes to a comprehensive understanding of how the Russian war in Ukraine has affected Poland's trade with the U.S., provides valuable insights into the economic consequences of the conflict, and identifies potential avenues for future trade cooperation between Poland and the U.S.","PeriodicalId":127595,"journal":{"name":"Journal of Eastern European and Central Asian Research (JEECAR)","volume":"93 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138605951","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 : 2023-12-03DOI: 10.15549/jeecar.v10i7.1343
Susilo Nur Aji Cokro Darsono, Thang Le-Dinh, Nguyen Trong Than, Wing Keung Wong, Tran Thai Ha Nguyen, Jenho Peter Ou
The coronavirus outbreak at the end of 2019 hit many aspects of the financial sector, especially the stock market. This research examines the impacts of the COVID-19 pandemic, exchange rates, gold price, and the Brent oil price on the volatility of the Sustainable Stock Market in Asia. A quantitative research method is applied using average monthly panel data from March 2020 to April 2022, covering the COVID-19 pandemic period. We employed panel regressions and applied Feasible Generalized Least Square (FGLS) in the analysis, which also serves as a robustness check. This study contributes to the literature by examining the variables significantly impacting sustainable investing, particularly in the sustainable stock market. Empirical results find that COVID-19, gold price and the exchange rate have negatively affected sustainable stock market volatility, while the Brent oil price has a positive impact on the volatility of the sustainable stock market. This study's recommendations infer that both investors and managers should consider the increase of COVID-19 cases and frequency-varying exchange rates to the USD on the Asian sustainable stock market volatility.
{"title":"Did COVID-19 challenge the volatility of the sustainable stock market? An examination of Asian market","authors":"Susilo Nur Aji Cokro Darsono, Thang Le-Dinh, Nguyen Trong Than, Wing Keung Wong, Tran Thai Ha Nguyen, Jenho Peter Ou","doi":"10.15549/jeecar.v10i7.1343","DOIUrl":"https://doi.org/10.15549/jeecar.v10i7.1343","url":null,"abstract":"The coronavirus outbreak at the end of 2019 hit many aspects of the financial sector, especially the stock market. This research examines the impacts of the COVID-19 pandemic, exchange rates, gold price, and the Brent oil price on the volatility of the Sustainable Stock Market in Asia. A quantitative research method is applied using average monthly panel data from March 2020 to April 2022, covering the COVID-19 pandemic period. We employed panel regressions and applied Feasible Generalized Least Square (FGLS) in the analysis, which also serves as a robustness check. This study contributes to the literature by examining the variables significantly impacting sustainable investing, particularly in the sustainable stock market. Empirical results find that COVID-19, gold price and the exchange rate have negatively affected sustainable stock market volatility, while the Brent oil price has a positive impact on the volatility of the sustainable stock market. This study's recommendations infer that both investors and managers should consider the increase of COVID-19 cases and frequency-varying exchange rates to the USD on the Asian sustainable stock market volatility.","PeriodicalId":127595,"journal":{"name":"Journal of Eastern European and Central Asian Research (JEECAR)","volume":"53 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138604830","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 : 2023-12-03DOI: 10.15549/jeecar.v10i7.1345
Xuan-Nhi Nguyen, Hung Cuong Hoang, Trung-Nghia Vu
Our study investigates the factors that drive Vietnamese online shoppers in Ho Chi Minh City (HCMC) to make impulsive purchases of Biti's Hunter sports shoes (BHS), using the Stimulus-Organism-Response (S-O-R) theory and the Technology Acceptance Model (TAM). Mixed methods are applied: in-depth interviews with ten regular online shoppers and focus group discussions with e-commerce managers for qualitative data collection, and survey techniques to gather quantitative data from 319 online shoppers. Data analysis was performed using SPSS 22.0 and AMOS 22.0. Our findings reveal five factors as a stimulus - visual appeal, website ease of use, product availability, portability, and social influence – and three factors as an organism - instant gratification, impulsiveness, and trust, that lead to the response of urge to buy impulsively. Significant positive effects are found among these constructs, except the relationship between portability and impulsiveness, visual appeal, social influence, trust, instant gratification, and urge to buy impulsively.
{"title":"Factors influencing the urge to buy impulsively of Vietnamese online buying customers towards Biti’s Hunter sport shoes","authors":"Xuan-Nhi Nguyen, Hung Cuong Hoang, Trung-Nghia Vu","doi":"10.15549/jeecar.v10i7.1345","DOIUrl":"https://doi.org/10.15549/jeecar.v10i7.1345","url":null,"abstract":"Our study investigates the factors that drive Vietnamese online shoppers in Ho Chi Minh City (HCMC) to make impulsive purchases of Biti's Hunter sports shoes (BHS), using the Stimulus-Organism-Response (S-O-R) theory and the Technology Acceptance Model (TAM). Mixed methods are applied: in-depth interviews with ten regular online shoppers and focus group discussions with e-commerce managers for qualitative data collection, and survey techniques to gather quantitative data from 319 online shoppers. Data analysis was performed using SPSS 22.0 and AMOS 22.0. Our findings reveal five factors as a stimulus - visual appeal, website ease of use, product availability, portability, and social influence – and three factors as an organism - instant gratification, impulsiveness, and trust, that lead to the response of urge to buy impulsively. Significant positive effects are found among these constructs, except the relationship between portability and impulsiveness, visual appeal, social influence, trust, instant gratification, and urge to buy impulsively.","PeriodicalId":127595,"journal":{"name":"Journal of Eastern European and Central Asian Research (JEECAR)","volume":"15 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138605637","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 : 2023-12-03DOI: 10.15549/jeecar.v10i7.1386
I. D. G. Satrya, Thomas S. Kaihatu, L. P. Budidharmanto, D. Karya, Ni Wayan Purnami Rusadi
Ecotourism is a form of sustainable tourism that aims to preserve the natural environment and wildlife while benefiting local communities. It is a responsible and ethical way of travel that promotes environmental awareness, education, and cultural exchange. Ecotourism has gained popularity recently due to growing concerns over environmental degradation and climate change. This study discusses the influence of environmental awareness, cultural and natural attractiveness, and ecotourism attributes on destination image and intention to visit. The location of the study is in Bali, Indonesia. This study used quantitative research using purposive random sampling and analyzed using SmartPLS. The results explain a significant positive relationship between environmental awareness, cultural and natural attractiveness, and ecotourism attributed to destination image and intention to visit.
{"title":"The role of ecotourism in preserving environmental awareness, cultural and natural attractiveness for promoting local communities in Bali, Indonesia","authors":"I. D. G. Satrya, Thomas S. Kaihatu, L. P. Budidharmanto, D. Karya, Ni Wayan Purnami Rusadi","doi":"10.15549/jeecar.v10i7.1386","DOIUrl":"https://doi.org/10.15549/jeecar.v10i7.1386","url":null,"abstract":"Ecotourism is a form of sustainable tourism that aims to preserve the natural environment and wildlife while benefiting local communities. It is a responsible and ethical way of travel that promotes environmental awareness, education, and cultural exchange. Ecotourism has gained popularity recently due to growing concerns over environmental degradation and climate change. This study discusses the influence of environmental awareness, cultural and natural attractiveness, and ecotourism attributes on destination image and intention to visit. The location of the study is in Bali, Indonesia. This study used quantitative research using purposive random sampling and analyzed using SmartPLS. The results explain a significant positive relationship between environmental awareness, cultural and natural attractiveness, and ecotourism attributed to destination image and intention to visit.","PeriodicalId":127595,"journal":{"name":"Journal of Eastern European and Central Asian Research (JEECAR)","volume":"89 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138606132","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 : 2023-12-03DOI: 10.15549/jeecar.v10i7.1417
T. Kussaiynov, Ainur Bulasheva, Sandugash Tokenova, G. Mussina
This article aims to propose a method for quantifying the impact of idiosyncratic and systemic risks on agricultural production volatility and to develop techniques and procedures for calculating the number of losses due to systemic risks. The analysis is based on grain yield and price data adjusted for inflation, trends, and acreage in the northern grain-producing region of Kazakhstan from 2005 to 2017. This study presents a method for determining the proportion of systemic and idiosyncratic risk in variations in agricultural production volume. Using a method based on the beta factor can significantly reduce subjectivism and prevent exploitation when assessing and compensating farmers for damages resulting from adverse natural phenomena. The authors believe this is the first study to examine the impact of systemic and idiosyncratic risks on the volatility of production volumes in the grain industry under specific economic conditions in emerging markets.
{"title":"Quantifying systemic and idiosyncratic risks in agriculture: A study of Kazakhstan's grain production volatility","authors":"T. Kussaiynov, Ainur Bulasheva, Sandugash Tokenova, G. Mussina","doi":"10.15549/jeecar.v10i7.1417","DOIUrl":"https://doi.org/10.15549/jeecar.v10i7.1417","url":null,"abstract":"This article aims to propose a method for quantifying the impact of idiosyncratic and systemic risks on agricultural production volatility and to develop techniques and procedures for calculating the number of losses due to systemic risks. The analysis is based on grain yield and price data adjusted for inflation, trends, and acreage in the northern grain-producing region of Kazakhstan from 2005 to 2017. This study presents a method for determining the proportion of systemic and idiosyncratic risk in variations in agricultural production volume. Using a method based on the beta factor can significantly reduce subjectivism and prevent exploitation when assessing and compensating farmers for damages resulting from adverse natural phenomena. The authors believe this is the first study to examine the impact of systemic and idiosyncratic risks on the volatility of production volumes in the grain industry under specific economic conditions in emerging markets.","PeriodicalId":127595,"journal":{"name":"Journal of Eastern European and Central Asian Research (JEECAR)","volume":"40 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138605380","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 : 2023-12-03DOI: 10.15549/jeecar.v10i7.1322
Vu Duc Hieu Dam, H. Phan, Thi Nhu Quynh Le, Thi Hoai Linh Truong, Quoc Anh Le
This paper investigates herd behavior in the Vietnam stock market under the impacts of the COVID-19 pandemic. Using Chang et al.’s (2000) method on two sets of daily and weekly trading data ranging from January 2018 to December 2021, we provide evidence about the presence of herd behavior during the global health crisis but not in the period prior to the outbreak of COVID-19. In addition, the regression analysis of a modified model implies that the tendency of herding among investors in the Vietnam stock market became more prevalent as the pandemic became more severe and the government measures to mitigate the pandemic turned out to be more stringent. These findings suggest that Vietnamese regulators may help to stop or mitigate the impact of any potential stock market crashes and that new investors need to acquire more knowledge about the market and skills for investing.
{"title":"Hearding during COVID-19 pandemic: An empirical study in Vietnamese stock market","authors":"Vu Duc Hieu Dam, H. Phan, Thi Nhu Quynh Le, Thi Hoai Linh Truong, Quoc Anh Le","doi":"10.15549/jeecar.v10i7.1322","DOIUrl":"https://doi.org/10.15549/jeecar.v10i7.1322","url":null,"abstract":"This paper investigates herd behavior in the Vietnam stock market under the impacts of the COVID-19 pandemic. Using Chang et al.’s (2000) method on two sets of daily and weekly trading data ranging from January 2018 to December 2021, we provide evidence about the presence of herd behavior during the global health crisis but not in the period prior to the outbreak of COVID-19. In addition, the regression analysis of a modified model implies that the tendency of herding among investors in the Vietnam stock market became more prevalent as the pandemic became more severe and the government measures to mitigate the pandemic turned out to be more stringent. These findings suggest that Vietnamese regulators may help to stop or mitigate the impact of any potential stock market crashes and that new investors need to acquire more knowledge about the market and skills for investing.","PeriodicalId":127595,"journal":{"name":"Journal of Eastern European and Central Asian Research (JEECAR)","volume":"43 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138605483","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 : 2023-12-03DOI: 10.15549/jeecar.v10i7.1402
B. T. Khoa, T. Huynh
With the economy experiencing rapid growth in recent years, more individuals have started venturing into the stock market. Precisely forecasting the rate of return can mitigate investment risks for stock investors and significantly enhance their investment returns. The Capital Asset Pricing Model (CAPM) and the 3-factor Fama-French model (FF3) are widely recognized in academic and practical settings. This model comparison provides frameworks to analyze the relationship between portfolio risk and return in inefficient markets. This research utilized the Support Vector Regression (SVR) algorithm to forecast the returns of a diversified portfolio in the Hanoi stock market (HNX) from 2010 to 2022. Subsequently, the explanatory power of the CAPM and FF3 models were compared using the Ordinary Least Squares (OLS) algorithm. Finally, this research incorporated the SVR algorithm within the FF3 framework to develop a predictive model. The research findings demonstrate that the FF3 model provides a superior explanation to the CAPM model. Additionally, the study reveals that the SVR algorithm outperforms the OLS algorithm in terms of efficiency, as it yields lower Root Mean Square Error (RMSE) values. Consequently, the next research direction entails replacing the FF3 model with a more comprehensive multi-factor model, anticipating obtaining an enhanced predictive model.
{"title":"A comparison of CAPM and Fama-French three-factor model under Machine Learning approaching","authors":"B. T. Khoa, T. Huynh","doi":"10.15549/jeecar.v10i7.1402","DOIUrl":"https://doi.org/10.15549/jeecar.v10i7.1402","url":null,"abstract":"With the economy experiencing rapid growth in recent years, more individuals have started venturing into the stock market. Precisely forecasting the rate of return can mitigate investment risks for stock investors and significantly enhance their investment returns. The Capital Asset Pricing Model (CAPM) and the 3-factor Fama-French model (FF3) are widely recognized in academic and practical settings. This model comparison provides frameworks to analyze the relationship between portfolio risk and return in inefficient markets. This research utilized the Support Vector Regression (SVR) algorithm to forecast the returns of a diversified portfolio in the Hanoi stock market (HNX) from 2010 to 2022. Subsequently, the explanatory power of the CAPM and FF3 models were compared using the Ordinary Least Squares (OLS) algorithm. Finally, this research incorporated the SVR algorithm within the FF3 framework to develop a predictive model. The research findings demonstrate that the FF3 model provides a superior explanation to the CAPM model. Additionally, the study reveals that the SVR algorithm outperforms the OLS algorithm in terms of efficiency, as it yields lower Root Mean Square Error (RMSE) values. Consequently, the next research direction entails replacing the FF3 model with a more comprehensive multi-factor model, anticipating obtaining an enhanced predictive model.","PeriodicalId":127595,"journal":{"name":"Journal of Eastern European and Central Asian Research (JEECAR)","volume":"97 50","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138605793","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 : 2023-12-03DOI: 10.15549/jeecar.v10i7.1326
K. Boichenko, Oksana Shatilo, Olena Derevianko, Nataliia Shevchuk, Oleksii Magdaliuk
This study is aimed at developing a methodological approach to identify and justify the strategy for the development of enterprises` innovative processes, which enables considering alternatives and determining the priorities of adaptation as well as increasing the level of flexibility to changes in the business operating conditions. The study is based on the materials of 21 motor transport companies in Ukraine. The methodological toolkit is based on the proposed polyfactorial 3D model with the implementation of correlation, regression and cluster analysis. The use of the strategy for the innovation process development of the motor transport enterprise with the introduction of focus on the asymmetry of its directions increases efficiency, which becomes equal to the benchmark or close to the maximum efficient value.
{"title":"Strategic development of motor transport enterprises’ innovative processes in Ukraine","authors":"K. Boichenko, Oksana Shatilo, Olena Derevianko, Nataliia Shevchuk, Oleksii Magdaliuk","doi":"10.15549/jeecar.v10i7.1326","DOIUrl":"https://doi.org/10.15549/jeecar.v10i7.1326","url":null,"abstract":"This study is aimed at developing a methodological approach to identify and justify the strategy for the development of enterprises` innovative processes, which enables considering alternatives and determining the priorities of adaptation as well as increasing the level of flexibility to changes in the business operating conditions. The study is based on the materials of 21 motor transport companies in Ukraine. The methodological toolkit is based on the proposed polyfactorial 3D model with the implementation of correlation, regression and cluster analysis. The use of the strategy for the innovation process development of the motor transport enterprise with the introduction of focus on the asymmetry of its directions increases efficiency, which becomes equal to the benchmark or close to the maximum efficient value.","PeriodicalId":127595,"journal":{"name":"Journal of Eastern European and Central Asian Research (JEECAR)","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138605861","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}
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