INTERNATIONAL AND REGIONAL CAPITAL MOBILITY IN LATIN AMERICAN COUNTRIES

This study examines the role of global, regional and domestic saving for domestic investment financing in the panel of Latin American and Caribbean countries along with its three regional integration blocks, namely SICA, Andean Community and MERCOSUR. Panel regression and rolling-window estimation results reveal that global saving is the main source of domestic investment financing in the region of Latin America and the Caribbean, SICA, Andean Community and MERCOSUR. The role of domestic and regional savings is rather limited, implying that there are weak regional and domestic channels that can funnel domestic and regional savings into investment in the analysed samples. The importance of regional agreement saving is insignificant and decreases over the analysed period except for the Andean Community. The results indicate low financial integration of the member-countries within the three regional trade agreements.

LABOR MIGRATION: CURRENT AND PERSPECTIVE CHALLENGES FOR UKRAINE

The main purpose of this study was to analyze the labor resources migration phenomenon from Ukraine in the context of theoretical basics of it generalization and against the background of its evolution and world trends, to identify its specific features, real consequences and possible perspectives regarding the regulation possibility taking into account the specifics of the nature and structure of this phenomenon in this country. The research methodology is formed on the basis of the classic economic theory of migration in combination with the behavioral approach and the interpretation of human as homo oeconomicus. Methods were used in the research process: dialectical, historical and semantic analysis, method of theoretical generalization and scientific abstraction, induction and deduction, monographic, graphic, statistical and analytical. The main findings are related to the detection of the tendency to increase the scale of labor migration from Ukraine even under conditions of pandemic, the identification of threats and harms connected with this phenomenon. Substantiated recommendations for eliminating the threats and harms of international labor migration from Ukraine may have practical applications. The originality of the article is determined by its timeliness and by diversified set of used sources of information, what together forms its value as well.

CAPACITY SHARING STRATEGY WITH SUSTAINABLE REVENUE-SHARING CONTRACTS

This paper develops a duopoly model to analyse capacity sharing strategy and the optimal revenue-sharing contract under a two-part tariff and examines the effects of capacity sharing, cost, and sharing charges in three scenarios. The paper uses the two-part tariff method and adds a more realistic assumption of incremental marginal costs to improve the research on capacity sharing strategies. The results show that capacity constraints affect the sustainable development of firms. A sustainable revenue-sharing contract can create a win-win situation for both firms and promote capacity sharing. Capacity sharing, cost, and the revenue-sharing rate have different impacts in different scenarios; the optimal revenue-sharing rate and fixed fee can be determined to maximise the profits of firms that share capacity. However, capacity sharing may not improve social welfare.

MAPPING KNOWLEDGE MANAGEMENT RESEARCH: A BIBLIOMETRIC OVERVIEW

In recent years, knowledge management (KM) has consistently attained considerably growing research attention. Consequently, several literature reviews have been performed addressing different topic areas of KM. This paper seeks to present a comprehensive bibliometric and network analysis on KM to understand its development from the perspective of academic communities. Subsequently, it seeks to identify the structure of associations between prior and current themes, predict emerging trends and offer a longitudinal perspective on KM research. This study used web of science database and the initial sample was trimmed down by considering only the articles contributing to KM literature, and further 8,721 KM papers published in the last 30 years were systematically evaluated. The descriptive statistics and science mapping methods employing co-citation analysis were performed with VOSviewer software. In the descriptive analysis, we have analysed publication trends over time, geographical localization of the contributing institutions, journals, most prolific authors, top-performing institutions and most cited articles. Science mapping analysis is based on co-word analysis and co-citations analysis, namely articles’ co-citations and authors’ co-citations. The main findings of this paper will help researchers and academicians to develop knowledge in a specific sub-field by analysing the research outcomes of the papers included in the body of literature.

CREATIVE TRANS-BORDER COOPERATION IN THE FIELD OF OPERATIONS RESEARCH AND SUSTAINABLE DEVELOPMENT IN CIVIL ENGINEERING

The paper presents an overview of the history and achievements of trans-border cooperation in the Lithuania-Germany-Poland triangle in planning instruments in Construction Management, decision-making theory, application of Operational Research, and Multiple Criteria Decision Making (MCDM) methods in Civil Engineering and sustainable development. The cooperation and results of the Colloquiums with 35 years of tradition, their multidimensional nature is underlined. The research instruments, methods, studied phenomena are reviewed and characteristic applications in engineering and economics are presented. The knowledge and combined efforts of three academic centers have created a synergy which set in motion many original methods and spectacular implementations. The Colloquium calendar and the evolution of organizational forms are presented along with the inclusion of the informal EURO Working Group on Operations Research in Sustainable Development and Civil Engineering.

PDHL-EDAS METHOD FOR MULTIPLE ATTRIBUTE GROUP DECISION MAKING AND ITS APPLICATION TO 3D PRINTER SELECTION

With the rapid development of 3D printing technology, 3D printers are manufactured based on the principle of 3D printing technology are more and more widely used in the manufacturing industry. Choosing high quality 3D printers for industrial production is of great significance to the economic growth of enterprises. In fact, it is difficult to select the most optimal 3D printers under a single and simple standard. Therefore, this paper establishes the probabilistic double hierarchy linguistic EDAS (PDHL-EDAS) method for the multiple attribute group decision making (MAGDM). Then the CRITIC model is introduced to derive objective weight and the cumulative prospect theory is leaded into obtain the cumulative weight of PDHLTS. In addition, what’s more, the PDHL-EDAS method is built and applied to the choice of high-quality 3D printer. Finally, compared with the available MAGDM methods under PDHLTS, the built method is proved to be scientific and effective.

SOCIAL EXCLUSION AND HEALTH INEQUALITIES IN THE TIME OF COVID-19

Social exclusion as a process leads to a state of multiple relative deprivations in diverse areas of social life, like employment, education, healthcare, social ties, respect. Individuals or groups may have a worse position in several areas, particularly with other individuals or groups in society. Coronavirus pandemics disproportionately affect poorer communities and socially excluded people. Socially excluded are double victims; due to their position, they are more prone to infection by a coronavirus, further increasing their exclusion. The purpose of this contribution is to provide a conceptual framework for analyzing the relationship between social exclusion and health disparities during the COVID-19 pandemic. The goal is to comprehend the causes and consequences of unequal power relationships and offer critical assessments of current policies and measures to reduce health inequalities. Health and social inequalities are a significant constraint to economic revival and a successful fight against pandemics. The extent of the economic and health crisis caused by pandemic shock largely depends on past health and social inequality.

EVALUATING LOGISTICS VILLAGES IN TURKEY USING HYBRID IMPROVED FUZZY SWARA (IMF SWARA) AND FUZZY MABAC TECHNIQUES

Positioning in the right location for organizing logistics activities is a determinative factor in the aspect of costs, effectivity, productivity, and performance of these operations carried out by logistics firms. The proper logistics village selection is a crucial, complicated, and time-consuming process for decision-makers who have to make the right and optimal decision on this issue. Decision-makers need a methodological frame with a practical algorithm that can be implemented quickly to solve these decision-making problems. Within this scope, the current paper aims to present an evaluation tool, which provides more reasonable and reliable results for decision-makers to solve the logistics village selection problem that is very complicated and has uncertain conditions based on fuzzy approaches. In this study, we propose the Improved Fuzzy Step-Wise Weight Assessment Ratio Analysis (IMF SWARA), a modified and extended version of the traditional fuzzy Step-Wise Weight Assessment Ratio Analysis (F-SWARA) to identify the criteria weights. Also, we suggest applying the fuzzy Multi-Attributive Border Approximation area Comparison (F-MABAC) technique to determine the preference ratings of the alternatives. This combination has many valuable contributions. For example, it proposes to use a more reliable and consistent evaluation scale based on fuzzy sets. Hence, decision-makers can perform more reliable and reasonable pairwise comparisons by considering this evaluation scale. Besides, it presents a multi-attribute evaluation system based on the identified criteria weights. From this perspective, the proposed model is implemented to evaluate eight different logistics village alternatives with respect to nine selection criteria. According to the analysis results, while A8 is the most appropriate option, C1 Gross National Product (GNP) is the most significant criterion. A comprehensive sensitivity analysis was performed to test the robustness and validation of the proposed model, and the results of the analysis approve the validity and applicability of the proposed model. As a result, the suggested integrated MCDM framework can be applied as a valuable and practical decision-making tool to develop new strategies and improve the logistics operations by decision-makers.

INTEGRATING THE BWM AND TOPSIS ALGORITHM TO EVALUATE THE OPTIMAL TOKEN EXCHANGES PLATFORM IN TAIWAN

This research presents procedures for determining the optimal solution of token exchanges platform for investors in Taiwan via integrating the best-worst method (BWM) and the technique for ordering preference by similarity to the ideal solution (TOPSIS). Firstly, this research applies the modified Delphi method to develop the perspectives and factors via literature review and experts opinion. Secondly, the BWM is implemented to obtain weights of perspectives and factors on the linear programming concept. Thirdly, the TOPSIS model is used to rank the optimal solution of the token exchange for investors or corporations. Finally, the proposed model BWMTOPSIS-based procedures will list the optimal token exchanges platform on the three token exchange platforms to investors or corporations in Taiwan on the basis of their rankings in the architecture. The proposed combination framework is able to provide academic and commerce support to investors or corporations in implementing the token into their portfolio as a valuable objective guide to determine the optimal token exchange platform.

BETA CONVERGENCE ANALYSIS OF GROSS VALUE ADDED IN THE HIGH-TECHNOLOGY MANUFACTURING INDUSTRIES

The paper examines the recent developments in the high-technology manufacturing sectors in the EU28 countries, focusing on the β-convergence of gross value added in the Manufacture of computers, electronic, and optical products, and the Manufacture of basic pharmaceutical products and pharmaceutical preparations. We employ two dynamic panel models estimated using the system of generalized method of moments (GMM) to address the risk of an endogeneity bias. The panel data analysis indicates a higher convergence for the Manufacture of computer, electronic, and optical products at 16.4% compared to 2.2% for the Manufacture of basic pharmaceutical products and pharmaceutical preparations, which is consistent with the existence of fewer barriers and higher exposure to competition in the case of the first analyzed sector. In the context of the role of the high-technology manufacturing industries as an engine of growth and the existing performance differences between the EU28 countries in terms of gross value added in the analyzed sectors, we investigated the β-convergence for two groupings EU15 and the new EU member states. We found that the new EU member states display a higher β-convergence rate than EU15, but also that they have a lower capital intensity. The result highlights the potential risk of some of the new EU member states becoming laggers in terms of the underlying factors behind gross value added as investment and labour force.