This paper examines the situation and tasks of competitive systems of EU transport market focusing on railways. Recently, the EU transport market has changed radically, thanks to an increasingly competitive rail market. The European Commission has stimulated the creation of a competitive environment that will enhance the position of rail. Some scholars have insisted that the rail market is more monopolistic than competitive. However, the case of UK rail privatization suggests this is not the case. Moreover, some countries have a rail market that is more competitive. We draw on a wide range of sources including statistics and analyses of recent phenomena. These demonstrate the emergence of competitive markets in EU rail and the difficulty of developing a competitive market. With regard to the adoption of the competitive market, we examine three things. First, we observe recent cases and trends in competitive markets. Second, we compare the result of competitive markets and non-competitive markets within EU nations. Third, we demonstrate factors of formation of competitive markets and the possible expansion. We identified differences within open market policies amongst EU nations. Although a competitive EU rail market may have some difficulties, it will steadily begin to overcome technological differences and a lack of funds, because EU countries have a common goal, which is to develop the railways, solving, wherever possible both environmental and energy problems. Through this analysis, we found that the free market in EU rail will be extended to deliver efficiency and quality service.
The artificial intelligence (AI) is a technology that will lead the future connective and intelligent era by combining with almost all industries in manufacturing and service industry. Although Korea is one of the world's leading artificial intelligence group with the United States, Japan, and Germany, but its competitiveness in terms of artificial intelligence patent is relatively low compared to others. Therefore, it is necessary to carry out quantitative analysis of artificial intelligence patents in various aspects in order to examine national competitiveness, major industries and future development directions in artificial intelligence technology. In this study, we use the IPC technology classification code to estimate the overall life cycle and the speed of development of the artificial intelligence technology. We collected patents related to artificial intelligence from 2008 to 2018, and analyze patent trends through one-dimensional statistical analysis, two-dimensional statistical analysis and network analysis. We expect that the technological trends of the artificial intelligence industry discovered from this study will be exploited to the strategies of the artificial intelligence technology and the policy making of the government.
Journal of Korean Society of Industrial and Systems Engineering
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v.40
no.4
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pp.38-45
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2017
As the competitiveness of SMEs (small and medium enterprises) is getting more and more improved and globalized, the government provides various consulting services to secure the competitiveness of small and medium firms and support stable growth. However, the assessment of the result from the government's support is generally focused on non-financial factors, such as customer satisfaction and analysis of improvement effect. This paper is in regards to the statistical analysis of how much the government's support in the form of providing consulting services contributes to financial outcomes in terms of profitability and growth. ROA (return on asset) and ROS (return on sales), which are investment profitability and sales profitability respectively, are chosen as an indicator of profitability. For analysis of growth, sales revenue and total asset growth are used. The samples are 44 corporations which are supported by government, and 150 corporations which are selected for comparison, with corporate growth support center program by the Ministry of Trade, Industry, and Energy chosen as the consulting model. After gathering the yearly balance sheets and income statements of the samples from CRETOP, Korea Enterprise Data, the analysis is conducted in the way of identifying the statistical significance of financial difference in the same period between corporates taking consulting services and corporates which have not, and the difference of financial outcomes from the corporates taking consulting services before and after consulting services. As a result, in terms of business growth, it is turned out to have positive difference both in growth ratio and profitability compared to the compared corporations at the significant level. Therefore, it is obvious that the consulting program which government provides to SMEs have direct influence practically to the corporates' management performance.
Journal of the Korea Society of Computer and Information
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v.18
no.9
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pp.201-208
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2013
The purpose of this paper is to study the effects of the competitiveness of intermediate goods and enterprise's core competency on customer value and enterprise performance. And it is the first time to investigate the intermediate product competitiveness with the variable of interest to recent corporate values and corporate customers with business performance by exploring their relationships. Intermediate products, which the competitiveness of products that target structure is introduced for the first time, and the relationships between intermediate goods competitive and product reliability, intermediate goods competitive and product innovation are studied in this paper. Further research on integral, modular, valuable, durability, by measuring parameters such as product innovation and product reliability are also conducted. Eight hypotheses are introduced for statistical hypothesis testing. Employees and typical intermediate products in electronic companies in China and South Korea are investigated. SPSS and AMOS models are applied to perform the statistical analysis. Analysis of the proposed models is fit to an acceptable level. Research results and limitations are discussed, and useful conclusions are drawn.
Purpose - The present study theoretically reviews the use of power norm according to the cultural orientation of consumers to categorize the shopping value that corresponds to the use of the power norm when consumers use local food stores. Research Design, Data, and Methodology - Based on the data collected from the survey to 130 undergraduates, salaried men and people at large, the group with cultural value orientation was divided further into the group of horizontal individualism and that of vertical collectivism by using cluster analysis of SPSS 18.0 program. And regression analysis of SPSS 18.0 was employed to verify the hypotheses. Results - The following conclusions were shown in the empirical study. First, in the group of vertical collectivism, contribution to regional profits and competitiveness, economic value and service superiority can positively affect the attitude to the local food stores while the social responsibility activity in the community can't. In the group of horizontal individualism, however, contribution to regional profits and competitiveness, social responsibility activity, economic value and service superiority were all found to positively affect the attitude to the stores. Second, the distinctive shopping value of the stores such as escapism, entertainment value and prestige does not affect the attitude to the stores. Third, the positive effects that the stores' level of responsibility for the outgroup community can exercise on the attitude to the stores turned out to be bigger in the group of horizontal individualism than in the group of vertical collectivism. Fourth, the impact that the degree of the stores' contribution to regional profits and competitiveness has on the attitude to the stores was found to be positive in both groups. However, no difference existed in the degree of positive effects between them. Conclusions - Marketing managers of local food stores should pay more attention to managing their contribution to practical shopping value and to interests as well as competitiveness of regional society, and to persuading consumers of the horizontal individualistic group by performing responsible activities for the outgroup of local society regardless of the types of consumers' cultural orientation.
The purpose of this study is to construct the evaluation model for the major science research facilities and equipments to enhance the competitiveness of the science and technology and also to test the reliability and validity of the model. To achieve the purposes, this study theoretically reviews the concept of the major science research facilities and equipments and their characteristics. Through a review of literature, this study draws 11 criteria for evaluating the priorities of the major science research facilities and equipments. These criteria are categorized as two dimensions - 'science & technology' and 'national policy'. The dimension of science & technology includes scientific importance, technological readiness, utilization rate, common utilization rate, and ability of management and operation. The national policy dimension contains degree of correspondence with national science development, imperativeness of national policy, science and technical effectiveness, economic and industrial effectiveness, responsiveness of research demand, and equity among the related institutions. The competitiveness of the science and technology consists of these two dimensions. The evaluation model is established on the framework of criteria. The 18 major science research facilities and equipments are selected through a series of Delphi. The survey of experts (BT, ET, IT, NT and ST) is also implemented to evaluate the 18 major science research facilities and equipments by 11 criteria. The overall results indicate that the reliability and validity of the model are good. The reliability tests show that the five indicators of science & technology and the six indicators of national policy have high internal consistencies. The confirmatory factor analyses reveal that the two constructs - 'science & technology' and 'national policy' - have high convergent and discriminant validity. The correlational analyses also show that the criteria-related validity between them is high. Furthermore, the results of higher order factor analysis indicate that the fit indices of the model are high and suggest a good fit to the data. Based on these findings, the policy implications of the model are discussed.
The purpose of this study is to develop business models for current situational scenarios reflecting customer needs emphasize the need for implementing a logistics cooperation system by analyzing big data to strengthen SCM competitiveness capacities. For healthcare SCM competitiveness needed for the logistics cooperation usage intent, they were divided into product quality, price leadership, hand-over speed, and process flexibility for examination. The wordcloud results that analyzed major considerations to realize work efficiency between medical institutes, words like unexpected situations, information sharing, delivery, real-time, delivery, convenience, etc. were mentioned frequently. It can be analyzed as expressing the need to construct a system that can immediately respond to emergency situations on the weekends. Furthermore, in addition to pursuing communication and convenience, the importance of real-time information sharing that can share to the efficiency of inventory management were evident. Accordingly, it is judged that it is necessary to aim for a business model that can enhance visibility of the logistics pipeline in real-time using big data analysis on site. By analyzing the effects of the adaptability of a supply chain network for healthcare SCM competitiveness, it was revealed that obtaining competitive capacities is possible through the implementation of logistics cooperation. Stronger partnerships such as logistics cooperation will lead to SCM competitive capacities. It will be necessary to strengthen SCM competitiveness by searching for a strategic approach among companies in a direction that can promote mutual partnerships among companies using the joint logistics system of medical institutes. In particular, it will be necessary to search for ways to utilize HCSM through big data analysis according to the construction of a logistics cooperation system.
This study aims to review the competitiveness of 'TVING', a Korean OTT player in Korean market. For this, this study extracts core business resources of TVING focusing on resource-based theory, and analyzes their competitiveness under VRIO framework. TVING has 4 tangible and intangible resources respectively and 1 human resource. Tangible resources of TVING are technology(recommendation, compression), content(original, exclusive, discriminative non-exclusive), production studio, and paid-subscribers. Intangible resources are content planing capability, distribution network(local, global), marketing promotion·PR, sales), brand preference. And human resource of TVING creates IP professionalism of the company. As a result of VRIO analysis, discriminative non-exclusive content, production studios, and domestic service channels are the most powerful resources of TVING to 'sustain competitive advantage'. Technology, original content, planning capability and IT professionalism bring 'temporary competitive advantage', while exclusive content, the number of paid-subscribers, global service network, and promotion capabilities are not core resources with staying in competitive rank stages. By the way, TVING has potential users for sales of KT and LGU+ thanks to partnership and M&A, but this is not effectively used at the organization level yet. The meaning of this study can be found in that this evaluated competitiveness by each resource of TVING and arranged its implications.
KSCE Journal of Civil and Environmental Engineering Research
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v.33
no.6
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pp.2529-2539
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2013
The Korean construction industry has led the miraculous economic boost of Korea by providing solid domestic infrastructures such as highway, roads, and airports. It also played a critical role in global construction market and eaned more than 500 billions dollars in terms of their accumulated international orders. However, domestic construction market has significantly decreased in recent years due to the domestic political environments and global economic crisis. Therefore, the importance of international construction market cannot be more emphasized to the Korean construction market in order for the sustainable growth. There has been, however, little research in the area of identifying required competency elements for the Korean construction industry to stay successful in the global market. The main purpose of this study is to identify elements of core competency to increase global competitiveness for Korean construction industry. Core global construction competency elements were derived from the internal and external environmental analyses along with the extensive literature review, expert interviews and a survey. This study utilized the Importance-Performance Analysis (IPA) and a gap analysis in providing insights on the status competitiveness of the Korean construction industry in terms of required global core competency elements. The analysis shows that project management and financial management are the main areas for improvements required to engineering contractors while construction contractors need to take a more balanced approach among technical, project management, and financial management in order to increase their global competencies.
Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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v.6
no.5
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pp.367-377
/
2016
The purpose of the projects for strengthening the Service Business Competitiveness, which had been sponsored by the Ministry of Trade, Industry and Energy, and managed by the NIPA, is to support for combining the whole business process of the SMEs with the business model considering the scientific aspects of the services, to enhance the productivity of them and to add the values of their activities. 5 organizations are selected in 2014, and 4 in 2015 as leading organizations for these projects. This study analyzed the efficiency of these projects using DEA. Throughout the analysis of the prior researches, this study used the amount of government-sponsored money as the input variable, and the number of new customer business, the sales revenue, and the number of new employment as the output variables. And the result of this analysis showed that the decision making unit 12, 15, and 21 was efficient. And from this study, we found out two more performance indicators such as, the number of new employment and the amount of sales revenue, besides the number of new customer businesses.
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