• Title/Summary/Keyword: Competitiveness Analysis

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The Influence of Factors on the Level of Digitalization of World Economies

  • Pyroh, Olha;Kalachenkova, Kateryna;Kuybida, Vasyl;Chmil, Hanna;Kiptenko, Viktoriia;Razumova, Oleksandra
    • International Journal of Computer Science & Network Security
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    • v.21 no.5
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    • pp.183-191
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    • 2021
  • The advanced development of the world's economies requires a detailed study of the impact of factors on the level of digitalization, to ensure economic growth and promote the use of information and communication technologies in the digital economy. Digitalization of the world's economies is ensured through the implementation of relevant regulations and policy decisions to implement public policy and strategy of the digital economy. The purpose of the study is to establish the pattern of the impact of factors on the level of digitalization of world economies by conducting a regression analysis to reflect the dependence of the impact of factors on the level of digitalization in 25 economies (by IMD digital competitiveness), to check the level of digitalization of the world's economies. It is necessary to analyze the ranking of countries in the world according to the DiGiX Index, IMD, and DESI Digital Competitiveness Rating. Research methods: information synthesis method; regression analysis; systematization, and generalization. Results. It was found that because of regression analysis, the value of the coefficient of determination indicates that the regression model by 78% explains the relationship between future readiness of countries to implement digital technologies and information and communication technologies, but there are still a small number of other factors not included in the regression model. It is determined that the greatest progress among EU member states for the period 2015-2020 according to the DESI index belongs to Ireland, the Netherlands, Malta, and Spain. It is established that Estonia, Spain, and Denmark are in the lead in the DESI rating, in terms of e-government implementation. The study found that the impact of factors on the level of digitalization of world economies contributes to solving current economic problems through further implementation of information and communication technologies and improving legislation in the digital economy, which will ensure the implementation of effective digital policy. It is established that ensuring the appropriate level of digitalization of the world's economies should solve the problems in the digital economy sector faced by governments and businesses, which requires the implementation of measures to regulate and ensure the continued operation of the digital economy.

Productive Efficiency of the Coastal Fishing Business : A Comparison of Data Envelopment Analysis and Stochastic Frontier Analysis (연안어업경영의 생산효율성 분석 : DEA와 SFA 기법 비교를 중심으로)

  • Choi, Jong-Yeol;Kim, Ki-Seog;Kim, Do-Hoon
    • Journal of the Korean Operations Research and Management Science Society
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    • v.35 no.3
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    • pp.59-68
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    • 2010
  • Improving productive efficiency is important for strengthening a competitiveness of coastal fisheries. This paper examines the productive efficiency of a sample of coastal gillnet fishing business units by estimating a stochastic frontier analysis (SFA) and a data envelopment analysis (DEA) approaches and compares those estimates obtained from two approaches. The estimated mean productive efficiency by SFA is 77.6% and the mean productive efficiencies obtained for the VRS and CRS DEA are 75.9% and 45.7%, respectively. The joint use of SFA and DEA for estimating efficiency is also discussed.

Development Possibility of Busan as a Cruise Center (부산의 크루즈 중심지로 발전 가능성에 대한 연구)

  • Choi, Jung-Kyu
    • Journal of Korea Port Economic Association
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    • v.31 no.4
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    • pp.227-240
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    • 2015
  • Asia's cruise industry is growing rapidly with the number of tourists increasing every year. This growth has encouraged intense competition among leading port cities in Asia to retain cruise tourists and cruise lines. The purpose of this study is to analyze the development of the cruise industry around Busan as a hybrid port city and propose new strategies for improving Busan's competitiveness. To achieve these goals, factor analysis and Importance-performance analysis (IPA) are used. The analyses results suggest that the development possibility of Busan as a cruise center is dependent on the improvement of certain factors, including the variety of inland tour options, unique experience, direct service infrastructure, tourist attractions, wide accessibility to other modes, and strong connection to attraction. In addition, the city needs to meet other requirements, including developing various tours, tourist products, and fly & cruise packages and hosting international festivals that can represent Busan and cater to potential cruise customers. Moreover, the city desperately needs to expand its commercial and cultural space by redeveloping its cruise terminals.

Employment Growth and Industrial Change in Cheongju, 1985-2005: An Analysis Using a Shift-Share Model (청주의 고용 성장과 산업 변화, 1985-2005: 변이할당모형에 의한 분석)

  • Kim, Hak-Hoon
    • Journal of the Economic Geographical Society of Korea
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    • v.14 no.3
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    • pp.325-341
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    • 2011
  • The population and employment of Cheongju have increased rapidly since the 1970s. This study examines the industrial employment change of Cheongju City and performs a shift-share analysis for the employment growth. The data used in this study are mainly from the 1985, 2000 and 2005 Census of Population and Housing. This study first explained the population change and industrial structure of Cheongju, then reviewed the development of shift-share models. Location quotients and specialization coefficients resulted from this study revealed the diversifying tendency in the urban industrial structure. Shift-share analysis employing the modified Arcelus model elucidated the favorable industrial mix and the competitiveness of industrial sectors. As a whole, Cheongju has advantageous industrial structure in comparison with that of the nation. All sectors of Cheongju except several services sectors grew faster than those of the nation and showed positive competitive effects. It is suggested to utilize more disaggregated industrial data in more fractured subperiod in order to pinpoint the competitive industries.

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Comparative Analysis on Current Status of Research University Libraries between Korea and the United States (연구중심대학의 도서관 지원과 연구경쟁력에 관한 연구)

  • Han Hye-Young
    • Journal of the Korean Society for Library and Information Science
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    • v.39 no.4
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    • pp.25-44
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    • 2005
  • Research is one of main roles of university and its importance has been emphasized gradually since a few decades ago. Yet, the objective and concrete criterion lot the definition of the research university is not available in Korea, Accordingly, the role of the research university library is not established as a key system for research university. In this study the criterion for the United States research university is applied to domestic universities, thereby current status of research universities and their libraries between the United States and Korea is analyzed comparatively. Fundamental data including budget, employees and information resources for pursuing high research competitiveness necessary for the research university library are provided based on comparative analysis of 98 research university libraries in the United States and 38 domestic research university libraries. Correlation analysis data between library investment and research Publication are also provided. Finally this study can be used, hopefully, as a milestone for the establishing strategy of domestic research university libraries.

Value Model for Applications of Big Data Analytics in Logistics (물류에서 빅데이터 분석의 활용을 위한 가치 모델)

  • Kim, Seung-Wook
    • Journal of Digital Convergence
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    • v.15 no.9
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    • pp.167-178
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    • 2017
  • Big Data is a key asset for the company and a key factor in boosting its competitiveness in the logistics sector. However, there is still a lack of research on how to collect, analyze and utilize Big Data in logistics. In this context, this study has developed a value model applicable to logistics companies based on the results of analysis and application of Big Data in the logistics of previous studies and DHL. The purpose of this study is to improve the operational efficiency and customer experience maximization level of logistics companies through utilization of big data analysis in logistics, to improve competitiveness of big data utilization and to develop new business opportunities. This study has a significance to newly create a value model for utilization of big data analysis in logistics sector and can provide implications for other industries as well as logistics sector in the future.

Improvement of Project Competency for Small IT Companies through SWOT-AHP Analysis (SWOT-AHP 분석을 통한 소규모 IT업체의 프로젝트 수행 역량 개선)

  • Lee, Min-Kyung;Kang, Chang-Wook
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.41 no.3
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    • pp.83-89
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    • 2018
  • In the SW industry, the diversification of global markets and technology trends are changing due to the emergence of new services, and IT companies are in need of strategic change different from the previous one. In this study, SWOT analysis was performed by extracting the internal environmental factors and external environmental factors through the previous studies to improve the project performance competence of small IT companies, and the SWOT Matrix was reconstructed through the pairwise comparison. Based on this, the purpose of this research was to propose the project performance competency improvement plans for small IT companies based on importance and priority, and the following four strategies were derived from the result of SWOT-AHP analysis. SO strategy was drawn in direction to invest R & D in new SW industry to enhance technology competitiveness of SMEs in order to develop SMEs, and in order to secure competitiveness of SW industry, WO strategy is drawn the cultivation of professional technical manpower through SW policy. ST Strategy presented technical management through SW system improvement policy to improve SW environment, and WT Strategy presented awareness training on the construction and necessity of project management system construction. Using the strategies presented in this study, it is expected that the managers of small IT firms will be presented as references to measure the performance competence factors of current organizations and company organizations.

A Study on the Activities Priority and its Effects for Green Port Construction (그린포트 구축을 위한 활동 순위 및 효과분석에 관한 연구)

  • Kim, Hwan-Seong;Jo, Min-Ji;Wang, Liru
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2011.06a
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    • pp.415-416
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    • 2011
  • As the has been brought out in 1997, many ports pay attention to greenhouse gas emission reduction and try to develop the port as an Green Port. The purpose of this paper is to establish the activities priority for Green Port construction and analysis its efficiency for the port competition. First of all, the activities for Green Port is introduced and showed its characteristics. To analysis these effectiveness for Green Port, the questionnaire survey is done by considering the opinion of port specialists. And by using AHP analysis method, the priority between the port activities is obtained and its effect for Green Port is taken by considering port competitiveness.

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Analysis of Concentrate Competency for Cambodian Building Construction Projects (캄보디아 건축 사업 진출을 위한 우선적 확보역량분석)

  • Jang, Hyoun-Seung;Son, Bo-Sik
    • Korean Journal of Construction Engineering and Management
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    • v.14 no.2
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    • pp.45-55
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    • 2013
  • Recently, with achieved US$ 500 Billion international cumulative construction order, the Korean government presented overseas construction industry visions for international orders of US$ 100 B and entering the top five countries in global construction market. Also, Korean companies are developing strategies for expansion of international markets especially focused on company competitiveness as a target market. Therefore, this study aims to analysis of competitiveness for the Cambodian building construction market, which presents abundant development potential. The results of IPA result were as follows; construction order information and supply chain management are needed for public tender projects and F/S, global project financing, and supplier relationship management are needed for construction investment projects. However, this work is still considered to provide the basic data that can help Korean construction companies who plan to enter the Cambodian building construction market strengthen their medium and long-term capabilities.

Allocating the Budget of Port Incentives for Customers (항만 인센티브 예산의 합리적 배분방법)

  • Park, Byung-In
    • Journal of Korea Port Economic Association
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    • v.32 no.3
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    • pp.139-154
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    • 2016
  • The port incentive scheme currently implemented in various Korean ports is used as a marketing tool to increase price competitiveness. Typically, ports implement piecemeal imitation strategies to enhance their competitiveness, rather than a precisely designed system. A precise analysis of the effectiveness of a port's system and scheme redesign are lacking because budget allocation is done without input from customers and freight groups. This study models the incentives faced by ports using a linear programming model. We use the Gwangyang port as the base case. Our analysis of the Gwangyang port reveals that there are insufficient incentives implemented when a traditional qualitative analysis is used. We also identify any excess, deficiency, or absence of the incentive effect for each type of customer and freight group. We find the overall budget of the incentive scheme to be more rational when ports allocate funds to minimize port mileage, and allocate 61.77 percent and 38.23 percent of the budget on existing and new (or increased) cargo inventory, respectively. Future studies can build on our work by further considering basic inputs, and by adding a system to estimate the input data of our model to identify constraints and thus provide a more accurate incentive scheme.