Study Of Competitiveness Research Articles

Digital footprint approach for the study of competitiveness in wineries

Advances in computation and web-scraping techniques allow us to use real-time information from company websites and social media platforms, namely digital footprint indicators. Additionally to their real-time availability, these indicators are easily accessible, making them a potentially practical tool for monitoring a company’s level of competitiveness. Therefore, this article aims to obtain a multivariate analysis method to accurately predict the wineries’ competitiveness group, applying the methodology to a sample of Valencian wineries to explore the association between digital footprint indicators and competitiveness.Unsupervised learning techniques were implemented to detect outliers and clusters in observations using financial variables obtained from the Sistema de Análisis de Balances Ibéricos (SABI). Thus, clustering was used to identify groups of wine companies differentiating the sample of companies according to their competitiveness characteristics. Subsequently, footprint indicators were used to create multivariate models to predict the above classification of companies. Also, this methodology permits the study of which digital indicators are essential in this prediction, specifically the presence of words on the web and others regarding online company activities on social networks associated with competitiveness. This research provides practical guidance for developing and incorporating the essential digital indicators, which could be applied in wineries and any study of companies’ competitiveness.

ENERGY (IN)DEPENDENCE AND NATIONAL SPECIALIZATION AS A FACTOR OF GLOBAL COMPETITIVENESS

The article presents preliminary results of a comprehensive interrelation study of the global competitiveness of the world economy actors with their energy systems and specialization. The article structure is logically split into three parts. The first one presents an attempt of evaluating energy dependence of the largest nations and its dynamics. The author proposes hypotheses regarding origins of different national roles on the world energy market and prospects of their development. The second part is dedicated to researching the nature of economic growth in the first quarter of XXI century and its interconnection with industrial development and specialization on particular goods, including fuel products and energy-intensive manufactures. In the third part the article explores international merchandise trade landscape by merchandise chapters (HS2) and in particular cases by headings (HS4). Finally, the author makes a conclusion and offers prognostic points in terms of the most significant merchandise items as well as in terms of world economy actors.

중국과 미국의 첨단산업 국제경쟁력 분석에 관한 연구

Purpose - With the acceleration of scientific and technological progress and globalization, the competition in high-tech industry has become increasingly fierce, and China and the United States, as the world's two largest economies, have attracted much attention in the field of high-tech industry. This study analyzes the international competitiveness of high-tech industries targeting China and the United States. Design/Methodology/Approach - MS (Market Share) index, RSCA (Revealed Symmetric Comparative Advantage) index, and TSI (Trade Specialization Index) were calculated for nine high-tech industries in China and the United States. The analysis period was 2010, 2015, and 2020, and the analysis data used data from UN Comtrade and WDI industry statistics. Findings - The analysis shows that China has an advantage over the United States in the computer office machinery, telecommunications, electrical machinery, and chemical industries, while the United States has an advantage in the pharmaceutical, scientific instruments, non-electrical machinery, and military industries. In the aerospace industry, both the United States and China are inferior, but the United States appears to have an advantage over China. Research Implications - The competitive relationship between China and the United States in the field of high-tech industries not only affects the economies of the two countries, it also profoundly influences the world industrial structure and innovation. Therefore, an in-depth study of the international competitiveness of China and the United States in the field of high-tech industries is of great significance.

Navigating Opportunities and Challenges: A Comprehensive Study of Venture Companies' Strategies and Competitiveness

To establish a competitive position in the era of relentless competition, the enduring secrets of venture companies lie in continuous technological innovations and ground breaking ideas. The categorization of strategic types and groups derived from the strategic dimensions of venture firms is expected to provide valuable insights for aspiring new entrants into the venture industry. This study examines the managerial shortcomings and financial constraints faced by venture firms in existing research, aiming to identify the core competitiveness of these firms by scrutinizing government support for start-ups and the challenges venture companies encounter in their interactions with large corporations. Additionally, the research analyzes the factors contributing to the failure of venture firms and examines the successful strategies employed by successful venture companies, endeavoring to address various challenges and illuminate success strategies through the perspective of successful ventures.

Study of competitiveness in businesses and factors affecting IT

Study of competitiveness in businesses and factors affecting IT

Algorithms for the study of ecological and economic competitiveness of regions

Algorithms for the study of ecological and economic competitiveness of regions

A Study of Competitiveness in Logistics Firms in Vietnam

Objective: This study aims to evaluate the competitiveness of logistics firms in Hanoi and neighboring provinces in Vietnam, and compare respondents' assessments of competitiveness in logistics firms. Method: The sample size in this study was adjusted to the regression model. The research sample consists of 225 respondents working for logistics firms in Hanoi and neighboring provinces. We designed a questionnaire related to the competitiveness of logistics firms. We determined the observed variables (scales) of the competitiveness of logistics firms based on previous studies and expert interview results. We use both qualitative and quantitative research methods, including reliability analysis through the Cronbach alpha coefficient, EFA analysis, the independent T test, and ANOVA analysis. Results: The findings in this study prove that four attributes of the competitiveness of logistics firms are quite high. All the attributes of the variables are statistically significant. There is no statistically significant difference in the competitiveness of logistics firms between these different marital statuses, work locations, career seniority, and job positions. Conclusions: This research broadens our understanding of the importance of the competitiveness of logistics firms in Hanoi and neighboring provinces in Vietnam. This research has expanded the competitiveness of logistics firms in Hanoi and neighboring provinces in Vietnam as an activity with profound business performance impacts. This study can be a basis for other research works and policy design oriented to achieve a comprehensive measurement of business performance and make business strategy in the firm. The results of this study are expected to contribute to the development of business administration science, especially in the logistics sector.

Methodology for selecting competing regions based on their specialization (using the example of the Amur region)

Purpose of the study. The paper presents the author’s methodology for selecting competing regions based on their specialization. The formation of a statistical set of competing regions is one of the stages of the methodology for managing the competitiveness of a region. The selection of competing regions precedes the stage of assessing the region’s competitiveness and identifying its competitive advantages. Ignoring the stage of selecting competing regions in the study of regional competitiveness leads to leveling out the differences between the constituent entities of the Russian Federation in socio-economic conditions of development and reduces the possibility of making effective management decisions to increase the competitiveness of the country’s regions. The purpose of the paper is to improve the methodology for selecting competing regions based on their specialization.Materials and methods. In the process of achieving the goal, statistical methods of analysis, factor analysis, cluster analysis, and the main array method were used. Calculations were made in SPSS Statistics and Excel programs. The paper used statistical data from Rosstat. To perform the calculations, GVA was considered in the Russian National Classifier of Types of Economic Activity2 structure for 2020.Results. The article improves the methodology for selecting competing regions based on their specialization. The method under consideration contains 7 stages. Its difference from the previous methodology is the addition of two stages: extracting factors of GVA shares or localization coefficients by type of economic activity of regions using factor analysis and clustering of regions based on selected factors. To test the methodology, localization coefficients were calculated by type of economic activity of the regions of the Russian Federation for 2020. Their descriptive statistics are presented. A set of competing regions has been formed for the Amur region. The region’s competitors are 11 regions of the country, in which “mining” and “construction” predominate.Conclusion. Solving the problem of forming a statistical set of competing regions is an important condition for the objectivity and reliability of the results of assessing the competitiveness of regions. The paper shows that the selection of competing regions must be carried out taking into account the specialization of the region, which is an expression of the level of socio-economic development of the region and its specifics. Dividing the totality of the country’s regions into homogeneous groups in accordance with their specialization allows for a qualitative analysis of the competitiveness of the regions within each individual group. The presented technique is universal, because its information base can be both the sectoral structure of the economy of the regions of the Russian Federation and the localization coefficients calculated on its basis, characterizing the specialization of the regions.

FACTORS AFFECTING BRANDS AND COMPETITIVENESS OF TOURISM DESTINATIONS: AN ANALYSIS OF THE MEKONG DELTA

International travel is one of the fastest-expanding links, connecting countries worldwide and bringing them closer together. Since 1990, many Southeast Asian countries have opened their doors to international integration and have become attractive destinations for international tourists by promoting tourism development, typically Singapore, Thailand and Malaysia. The study of brands and competitiveness for tourism destinations in Vietnam is essential. However, there is no research done yet to study the brands and competitiveness of destinations in Mekong Delta. This research aims to define factors affecting the brand and competitiveness of a tourism destination; its foundation is a synthesis of qualitative and quantitative research methods and it focuses on a case study in the Mekong Delta. Group conversations with specialists were held to conduct qualitative research. Research directly interviewed 650 tourists in Mekong Delta tourist areas and was used to conduct quantitative research. The research will show which specific factors affect the brand and destination competitiveness in the Mekong Delta that other researchers have not shown. The research results show that: (i) brand of a destination is affected by eight factors (tourism infrastructure, natural environment, destination adaptation, culinary culture, safety and security in tourism, hospitality, service costs and local folk music); (ii) competitiveness of a destination is affected by nine factors (tourism infrastructure, natural environment, destination adaptation, culinary culture, safety and security in tourism, human service costs, local folk music and brand). From the results, this research suggests some managerial implications for expanding brands and strengthening the destination competitiveness in the Mekong Delta.

Research on the Countermeasures to Promote the Development of Education Service Trade in China

With the development of the economy, international trade globalization, and the improvement of people's living standards, coupled with the development of international trade globalization, education service trade has become an important part of the economy of various countries. Since China acceded to the WTO, the educational service trade has been effectively developed and made some achievements. It is worth mentioning that with the advent of the post-COVID-19 era, the global economy has begun to show new vitality, promoting the development of international trade in education services. Whats more, this paper uses the Porter diamond model, which facilitates the study of Chinese international education services trade competitiveness. On the basis of explaining the relevant theories of educational service trade, this paper focuses on analyzing the current situation and existing problems of educational service trade and puts forward targeted strategic choices. Finally, at the end of the thesis, there is a brief conclusion for the paper.

An integrated CoCoSo-CRITIC-based decision-making framework for sustainable competitiveness evaluation of regional financial centers with interval-valued intuitionistic fuzzy information

Due to the increasingly strengthened role of finance in modern economic development, theoretical research on regional financial competitiveness in the study of regional economic competitiveness becomes very important. For China at this stage, finance is in a period of rapid development, and its role has penetrated into all aspects of social and economic life. Especially after China’s entry into the WTO, the pace of opening up the financial market has been further accelerated, and comprehensive evaluation and analysis of financial competitiveness is of great significance for comprehensively understanding and accurately grasping China’s national conditions, national strength, and international competitiveness, promoting the long-term growth of China’s financial competitiveness, and the sustainable development of the financial industry. The competitiveness evaluation of regional financial centers is looked as the multiple attribute decision-making (MADM) problem. This paper intends to propose a MADM methodology based on CoCoSo (Combined Compromise Solution) method under interval-valued intuitionistic fuzzy sets (IVIFSs) for sustainable competitiveness evaluation of regional financial centers. At the end of this study, we noticed to a comparison between the proposed IVIF-CoCoSo approach with other existing methods to verify the effectiveness of the algorithm.

Moving towards Post-COVID-19: A Study of Ecotourism Destinations Competitiveness in Sarawak

Moving towards Post-COVID-19: A Study of Ecotourism Destinations Competitiveness in Sarawak

Empirical Study of Cultural Industry Competitiveness in Anhui Province Based on the Diamond Model

Purpose: Cultural industry is such a profound emerging industry that developing cultural industry is the strategic task of building a modern and strong cultural province. As a strong economic and cultural province in China, Anhui province is rich in cultural resources and has a high level of economic development, which provides unique conditions for the development of cultural industries. However, the development of cultural industry in Anhui province lags behind other parts of the nation. Theoretical framework: This study, which takes the cultural industry competitiveness of Anhui province as the research object, examines the current situation of cultural industry competitiveness in Anhui province based on the diamond model and presents a holistic approach to cultural industry competitiveness and then investigates the influencing factors that determine and contribute to the growth of cultural industry competitiveness in Anhui province. Design/methodology/approach: this study selected 9 indicators as influencing factors to analyze the cultural industry competitiveness in Anhui province, namely, total collections in public libraries (X1), collections of public libraries owned per person (X2), number of performance by art performance troupes (X3), number of students enrollment of regular institutions of higher education (X4), consumer price indices (preceding year=100), education, culture and recreation (X5), foreign exchange earnings from international tourism (X6), total investment of foreign funded enterprises (X7), local governments expenditure, science and technology (X8), number of patent applications for inventions of industrial enterprises above designated size (X9). Findings: The results showed the overall competitiveness factor and industry operation factor are determined as the driving factors. This study also puts forward suggestions to improve the cultural industry competitiveness of Anhui province. Research, Practical & Social implications: The study analyzes the current developing situation of cultural industry in Anhui province based on Porter’s diamond model. Secondly, an empirical analysis was performed to determine the influencing factors of cultural industry competitiveness in Anhui province. Thirdly, on the basis of the above analysis, this paper puts forward suggestions for the development of cultural industry competitiveness in Anhui province. Originality/value: The value of the study formulated differentiated policies to support and develop cultural industries and guide the investment directions of cultural industries in different regions of the province and promote the coordinated development of overall cultural industry competitiveness.

„Praga uważa się za „naj...” – konkurencyjność regionów w Republice Cze- skiej w kontekście pragocentryzmu

The aim of the article was to compare NUTS3 level regions in the Czech Republic in terms of their competitiveness understood as an outcome of the four following dimensions: economic, social, innovative and environmental. The study of competitiveness was intended to verify the thesis of the legitimacy of concentrating development policy (especially in terms of spending EU funds) in the capital city of Prague as the region with the highest potential, providing the greatest guarantees of their effective use. In the article, using the Hellwig method (i.e. relative distances from the benchmark), an empirical analysis of regional competitiveness was carried out. The occurring developmental asymmetry was confirmed by empirical data. Prague is the leader outclassing the other regions in economic, social and innovative dimensions. In a country with significant developmental disparities, disadvantaged units are unable to compete and thus become underdeveloped regions. Praguecentrism therefore causes the increase in development divergence in the Czech Republic. This phenomenon will grow, regardless of the regional development policy.

An empirical study of competitiveness and international economic growth: The case study of the EU

An empirical study of competitiveness and international economic growth: The case study of the EU

FORMATION OF THE COMPETITIVE ADVANTAGES OF THE ENTERPRISE ON THE BASIS OF MARKETING OF VALUES

The study is devoted to the study of competitiveness in the modern conditions of the dynamically developing market. The relationship between competitiveness and marketing is substantiated. Systematization of existing views and approaches to determining competitiveness has been carried out. The main characteristics that act as a key parameter, a factor that determines the level of competitiveness of the economic system of one or another level are highlighted. The use of the methodology of system analysis allows to overcome the contradictions that have arisen in the analysis of competitive advantages. The task of increasing competitiveness can be successfully solved only with the coordination of purposeful and effective actions of the state and domestic business. The theoretical and methodological provisions of the company's competitiveness have been specified, taking into account the principles of the value approach within the framework of relationship marketing, including: the content of the company's competitiveness has been revealed as a comparative characteristic that reflects its ability to create value together with the consumer based on the integration of the consumer's experience of using the product (service) and key competence organizations; a model of interaction between the company and the consumer has been developed, which ensures an increase in the company's competitiveness due to the development of consumer loyalty in the process of joint value creation. The need and importance of the formation of a value approach to the competitiveness of the enterprise as a comparative characteristic reflecting its ability to create value together with the consumer is substantiated, as well as the development of an interaction model, clarifying the theoretical and methodological provisions of the competitiveness of the enterprise taking into account the principles of the value approach. The results of the theoretical and methodological studies carried out by research and production enterprises and organizations in the development of approaches to ensuring the competitiveness of the company, creating consumer value, and developing relations between the company and the consumer. The process of evolution from understanding value creation in terms of product or service orientation, which is the dominant logic in marketing and strategy, and moving towards considering value co-creation in terms of the receiving experience opens up striking new possibilities for researchers. This new approach also allows us to challenge deeply held beliefs about some marketing issues.

Study of the cities competitiveness: on the example of cities of the republic of Tatarstan

The article examines the socio-geographical definition of the competitiveness of a city, as well as the types of cities competitiveness. Based on the methodology for calculating the index of the city competitiveness, the competitiveness of the cities of Tatarstan Republic as part of the spatial system of the Russian Federation is determined. Based on the research results, the cities of the Republic of Tatarstan are ranked by the competitiveness index and by the number of specialized types of economic activity. The relevance of cities territorial studies is due to the socio-economic, ecological role of cities in the development of countries, constituent entities of the country. Cities are becoming centers of development, which gives rise to problems of territorial imbalances in socio-economic development. Cities are differentiated on the basis of demographic, economic, social, ecological parameters of their development and functioning. Therefore, there is an inequality of cities in their attractiveness for accommodating the population and for enhancing the functioning of the business community. There is a scientific and practical need to define such a concept as the competitiveness of cities.

Behavioural branding of frugal innovations contextual to consumption dynamics: a study of market competitiveness in micro enterprises

Behavioural branding of frugal innovations contextual to consumption dynamics: a study of market competitiveness in micro enterprises

ВИКОРИСТАННЯ ПРОГНОЗУВАННЯ ЗА ДОПОМОГОЮ ШТУЧНИХ НЕЙРОННИХ МЕРЕЖ ПРИ ВИВЧЕННІ КОНКУРЕНТОСПРОМОЖНОСТІ ПРИМОРСЬКИХ РЕГІОНІВ

The use of the mechanism of regional competitiveness enhancement is to maintain and strengthen the region's resource, intellectual, social and human capital. The article is devoted to the study of the possibilities of using artificial neural networks for forecasting indicators of competitiveness, which have a direct impact on subsystems and elements of competitiveness of regions. The practical application of the method of learning artificial neural networks allows you to predict the scenarios of the development of the indicator, confidence intervals, and the amount of the forecasting error. The analysis data can be used in planning the strategic development of the region, studying trends in indicators. The use of software greatly facilitates and simplifies the process of calculations and allows you to obtain data in graphical and calculated form, which is a necessary condition for the interpretation and analysis of data by economists. Forecasting regional competitiveness indicators with the help of neural networks allows testing, obtaining several forecast results and evaluating the forecast results by calculating the average error. Comparison of the obtained values of the calculated average error allows you to choose the forecasting result that is the most acceptable and possible for further use. Taking into account the values of forecast indicators of the region's competitiveness is necessary when planning the region's development strategy, when choosing strategic priorities and initiatives, emphasis is placed on achieving the forecast values of the «markers» of the strategy. Using the example of the indicator of the gross regional product of the region, calculations of the forecast of changes in the indicator were carried out using the Statistica software by the method of artificial neural network modeling. The gross regional product is an indicator chosen for analysis due to certain of its strong positive aspects: universality of the comparative base, availability of statistical data, economic sense. The study of competitiveness requires an understanding of the prospects for the development of its indicators, since their management affects the overall indicator. Competitiveness forecasting makes it possible to create a prognostic scenario of the development of both competitiveness factors, its components, and the object of research in general. However, the use of forecasting tools requires knowledge of certain nuances that accompany forecasting: peculiarities of using software tools, checking the forecast by calculating the standard error, etc.

АНАЛИЗ ДОСТАВКИ КОНТЕЙНЕРОВ В РОССИИ И ЗА РУБЕЖОМ

The article highlighted a list of the most advanced terminals in the world that handle containers. A comparative analysis of the volume of transshipment of containerized cargo by country was carried out. The analysis of the production capacities of the largest container terminals has been carried out. A study of the current competitiveness of Russian container terminals is provided.