Pub Date : 2023-06-21DOI: 10.24818/18423264/57.2.23.04
Stancu Stelian, Pernici Andreea, Bala Denisa Elena, Marinescu Daniela Elena
. The emergence of the Internet as a central phenomenon of the post-industrial era has generated structural changes in all socio-economic processes, including public administration. On this note, e-government has become the new practice, aimed to reshape the relationship between state and citizen, but showing considerable differences in the way it is adopted worldwide. Therefore, this paper proposes a methodology for assessing whether socio-demographic characteristics such as the urban population, the average years spent in school, or the overall median age of the population can successfully explain the level of e-government adaptation (measured through the EGDI). To observe it, we will use data from six years, from 2010 to 2020, and 130 countries of the UN. As tools, we have employed a multi-model approach that consists of regression and neural network models, with two main directions of analysis: individual yearly methods and longitudinal panel data.
{"title":"Linking e-Government to Socio-Demographics. A Multi-Model Approach Using Panel Data, Regression, and Neural Networks","authors":"Stancu Stelian, Pernici Andreea, Bala Denisa Elena, Marinescu Daniela Elena","doi":"10.24818/18423264/57.2.23.04","DOIUrl":"https://doi.org/10.24818/18423264/57.2.23.04","url":null,"abstract":". The emergence of the Internet as a central phenomenon of the post-industrial era has generated structural changes in all socio-economic processes, including public administration. On this note, e-government has become the new practice, aimed to reshape the relationship between state and citizen, but showing considerable differences in the way it is adopted worldwide. Therefore, this paper proposes a methodology for assessing whether socio-demographic characteristics such as the urban population, the average years spent in school, or the overall median age of the population can successfully explain the level of e-government adaptation (measured through the EGDI). To observe it, we will use data from six years, from 2010 to 2020, and 130 countries of the UN. As tools, we have employed a multi-model approach that consists of regression and neural network models, with two main directions of analysis: individual yearly methods and longitudinal panel data.","PeriodicalId":51029,"journal":{"name":"Economic Computation and Economic Cybernetics Studies and Research","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42287165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-21DOI: 10.24818/18423264/57.2.23.13
Ionescu Stefan-Alexandru, Duffett Rodney, Edu Tudor, Negricea Iliuta Costel
. The study focuses on investigating the fashion clothing buying behaviour and potential brand loyalty within Generation Y by using buying antecedents, demographic, and behavioural variables. Samples of 400 people (Romanians/South Africans) were considered in a step-by-step methodology, using principal component analysis and logistic regressions. A rational buying behaviour for both nationalities was displayed, influenced by magazines and scholarship/bursary (Romanian sample), and celebrities, TV advertisements, buying frequency and budget for clothes (South African sample). Brand loyalty was established only for the South African sample. This study enriches the literature by exhibiting an intra-Generation Y image and extending this cohort’s heterogeneity view through the uncovered brand loyalty differences. Managers can position fashion clothing brands for Generation Y based on rational buying motives, using magazines or endorsers in TV advertisements. The model can be improved by including the number of brands purchased from one clothing category, employing more metric scales, and other predictors.
{"title":"Brand-Centred Fashion Clothing Behaviour Modelling within Generation Y. A Two-Country Comparison","authors":"Ionescu Stefan-Alexandru, Duffett Rodney, Edu Tudor, Negricea Iliuta Costel","doi":"10.24818/18423264/57.2.23.13","DOIUrl":"https://doi.org/10.24818/18423264/57.2.23.13","url":null,"abstract":". The study focuses on investigating the fashion clothing buying behaviour and potential brand loyalty within Generation Y by using buying antecedents, demographic, and behavioural variables. Samples of 400 people (Romanians/South Africans) were considered in a step-by-step methodology, using principal component analysis and logistic regressions. A rational buying behaviour for both nationalities was displayed, influenced by magazines and scholarship/bursary (Romanian sample), and celebrities, TV advertisements, buying frequency and budget for clothes (South African sample). Brand loyalty was established only for the South African sample. This study enriches the literature by exhibiting an intra-Generation Y image and extending this cohort’s heterogeneity view through the uncovered brand loyalty differences. Managers can position fashion clothing brands for Generation Y based on rational buying motives, using magazines or endorsers in TV advertisements. The model can be improved by including the number of brands purchased from one clothing category, employing more metric scales, and other predictors.","PeriodicalId":51029,"journal":{"name":"Economic Computation and Economic Cybernetics Studies and Research","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41503502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-21DOI: 10.24818/18423264/57.2.23.09
Yim Hyung Rok
. The paper focuses on an eye-catching FDI pattern prevailing among Korean firms, so-called sequential FDIs. Between a single-investment strategy and a sequential-investment strategy, we scrutinise the reasons why the sequential-investment strategy is pursued by Korean parents taking time value into consideration. Fundamentally, Korean parents are inclined to establish Chinese subsidiaries sequentially because they can enjoy more flexible production effects, which enable them to lead markets in quantity competition. Three important theoretic predictions are drawn from a quantity competition model. First, the net discount payoff under the sequential-investment strategy is payoff dominant to the single-investment strategy’s as long as the market bargaining power of Korean parents can be enhanced. Second, those parents withholding higher discount factors are more likely to pursue the sequential-investment strategy. Third, the longer the Korean parents can stay in China, the more likely that they are to invest sequentially. Pooling LSDV (least squares dummy variable) regressions support these theoretic predictions. It is evident that sequential investments significantly increase the Korean parents’ production capabilities because the production portfolios constructed by the sequential investment strategy can organise internal production networks. As more subsidiaries are networked, the longer the new subsidiaries established by follow-up investments can be sustained owing to tie-in effects. The duration since after the first subsidiary foundation is positively associated with the frequency of sequential investments. It is evident that Korean firms’ sequential investment strategy, combined with their geographical proximity to China, contributes to overcoming market uncertainty and foreignness in China.
{"title":"The Sequential-Investment Strategy vs. The Single-Investment Strategy: Lessons from Korean Firms' FDIs to China","authors":"Yim Hyung Rok","doi":"10.24818/18423264/57.2.23.09","DOIUrl":"https://doi.org/10.24818/18423264/57.2.23.09","url":null,"abstract":". The paper focuses on an eye-catching FDI pattern prevailing among Korean firms, so-called sequential FDIs. Between a single-investment strategy and a sequential-investment strategy, we scrutinise the reasons why the sequential-investment strategy is pursued by Korean parents taking time value into consideration. Fundamentally, Korean parents are inclined to establish Chinese subsidiaries sequentially because they can enjoy more flexible production effects, which enable them to lead markets in quantity competition. Three important theoretic predictions are drawn from a quantity competition model. First, the net discount payoff under the sequential-investment strategy is payoff dominant to the single-investment strategy’s as long as the market bargaining power of Korean parents can be enhanced. Second, those parents withholding higher discount factors are more likely to pursue the sequential-investment strategy. Third, the longer the Korean parents can stay in China, the more likely that they are to invest sequentially. Pooling LSDV (least squares dummy variable) regressions support these theoretic predictions. It is evident that sequential investments significantly increase the Korean parents’ production capabilities because the production portfolios constructed by the sequential investment strategy can organise internal production networks. As more subsidiaries are networked, the longer the new subsidiaries established by follow-up investments can be sustained owing to tie-in effects. The duration since after the first subsidiary foundation is positively associated with the frequency of sequential investments. It is evident that Korean firms’ sequential investment strategy, combined with their geographical proximity to China, contributes to overcoming market uncertainty and foreignness in China.","PeriodicalId":51029,"journal":{"name":"Economic Computation and Economic Cybernetics Studies and Research","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45129732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the paper, a fuzzy multi-criteria group evaluation model suitable for the measurement of companies ́ performance is developed. The constructed model considers in addition to the traditionally used quantitative financial point of view also nonfinancial qualitative criteria such as Corporate Social Responsibility, innovation, or service level containing a considerable degree of uncertainty that can be appropriately modeled by the tools of fuzzy sets theory. Since the evaluations are often done by a group of experts with different opinions, our approach enables one to find at first a set of alternatives that are good enough for the sufficient quantity of relevant experts, and therefore to reach a consensus among evaluators. The best alternative is subsequently chosen from this set using a fuzzy weighted average operation. The model can be used for the comparison of companies in the same field, in one region, or to compare a company before and after managerial interventions.
{"title":"A Fuzzy Group Decision-making Model for Measurement of Companies' Performance","authors":"Pavlackova Martina, Pavlacka Ondrej, Horcickova Tereza","doi":"10.24818/18423264/57.2.23.08","DOIUrl":"https://doi.org/10.24818/18423264/57.2.23.08","url":null,"abstract":"In the paper, a fuzzy multi-criteria group evaluation model suitable for the measurement of companies ́ performance is developed. The constructed model considers in addition to the traditionally used quantitative financial point of view also nonfinancial qualitative criteria such as Corporate Social Responsibility, innovation, or service level containing a considerable degree of uncertainty that can be appropriately modeled by the tools of fuzzy sets theory. Since the evaluations are often done by a group of experts with different opinions, our approach enables one to find at first a set of alternatives that are good enough for the sufficient quantity of relevant experts, and therefore to reach a consensus among evaluators. The best alternative is subsequently chosen from this set using a fuzzy weighted average operation. The model can be used for the comparison of companies in the same field, in one region, or to compare a company before and after managerial interventions.","PeriodicalId":51029,"journal":{"name":"Economic Computation and Economic Cybernetics Studies and Research","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45451525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-21DOI: 10.24818/18423264/57.2.23.01
S. Manuel E., B. Jose M.
{"title":"A Fuzzy Dynamic Model for Total Quality Cost","authors":"S. Manuel E., B. Jose M.","doi":"10.24818/18423264/57.2.23.01","DOIUrl":"https://doi.org/10.24818/18423264/57.2.23.01","url":null,"abstract":"","PeriodicalId":51029,"journal":{"name":"Economic Computation and Economic Cybernetics Studies and Research","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41756887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-21DOI: 10.24818/18423264/57.2.23.15
Yakut Selay Giray, Ilicali Emre, Camkiran Ceren
. In this study, sociodemographic factors affecting the homeownership were investigated using data from the 2017 Household Budget Survey conducted by the TURKSTAT. To logistic regression analysis, it was confirmed that sociodemographic variables such as gender, age, household type, annual disposable income, household size, education level, marital status, employment status and activity status have an impact on homeownership. As a distinction from the literature, canonical correlation analysis with optimal scaling was implemented to examine the interactions between the sub-categories related to these variables. When the positions of the variables were examined, the main variables with the highest load value are ownership type, housing type, and income. In addition, the secondarily effective variables with the highest load value are age and education. On the basis of subgroups, it was seen that being a home owner/tenant was correlated with subcategories of age and working status, while preference for housing type was correlated with subcategories of education and household size. The results of sub-categories may provide guidance for future housing projects and policies.
{"title":"Sociodemographic Determinants of Homeownership: The Case of Turkey","authors":"Yakut Selay Giray, Ilicali Emre, Camkiran Ceren","doi":"10.24818/18423264/57.2.23.15","DOIUrl":"https://doi.org/10.24818/18423264/57.2.23.15","url":null,"abstract":". In this study, sociodemographic factors affecting the homeownership were investigated using data from the 2017 Household Budget Survey conducted by the TURKSTAT. To logistic regression analysis, it was confirmed that sociodemographic variables such as gender, age, household type, annual disposable income, household size, education level, marital status, employment status and activity status have an impact on homeownership. As a distinction from the literature, canonical correlation analysis with optimal scaling was implemented to examine the interactions between the sub-categories related to these variables. When the positions of the variables were examined, the main variables with the highest load value are ownership type, housing type, and income. In addition, the secondarily effective variables with the highest load value are age and education. On the basis of subgroups, it was seen that being a home owner/tenant was correlated with subcategories of age and working status, while preference for housing type was correlated with subcategories of education and household size. The results of sub-categories may provide guidance for future housing projects and policies.","PeriodicalId":51029,"journal":{"name":"Economic Computation and Economic Cybernetics Studies and Research","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48207109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-23DOI: 10.24818/18423264/57.1.23.17
Jankova Zuzana
{"title":"Latent Dirichlet Allocation (LDA) Approximation Analysis of Financial-Related Text Messages","authors":"Jankova Zuzana","doi":"10.24818/18423264/57.1.23.17","DOIUrl":"https://doi.org/10.24818/18423264/57.1.23.17","url":null,"abstract":"","PeriodicalId":51029,"journal":{"name":"Economic Computation and Economic Cybernetics Studies and Research","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45611159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-23DOI: 10.24818/18423264/57.1.23.02
Xu Heng, Zhao Yiming, Jing Zhucui, Wang Yaqi, Wang Yixi
{"title":"Is \"Quantity Restriction Order\" on Sharing Bikes Reasonable and Effective? — The Regulation on the Excess of Sharing Bikes","authors":"Xu Heng, Zhao Yiming, Jing Zhucui, Wang Yaqi, Wang Yixi","doi":"10.24818/18423264/57.1.23.02","DOIUrl":"https://doi.org/10.24818/18423264/57.1.23.02","url":null,"abstract":"","PeriodicalId":51029,"journal":{"name":"Economic Computation and Economic Cybernetics Studies and Research","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41710255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-23DOI: 10.24818/18423264/57.1.23.05
Xu Guangye, Weng Xinlan, Dan Bin, Duan Huawei
{"title":"Hedging Strategies of Supply Chain under Risk Aversion","authors":"Xu Guangye, Weng Xinlan, Dan Bin, Duan Huawei","doi":"10.24818/18423264/57.1.23.05","DOIUrl":"https://doi.org/10.24818/18423264/57.1.23.05","url":null,"abstract":"","PeriodicalId":51029,"journal":{"name":"Economic Computation and Economic Cybernetics Studies and Research","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45988877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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