• Title/Summary/Keyword: 전자무역금융

Search Result 27, Processing Time 0.022 seconds

World Trade Network and the Roles of the Industries in the Major Trading Countries (세계무역 네트워크와 주요국 산업의 역할: 부가가치 교역 자료를 이용한 사회연결망 분석 기법을 중심으로)

  • Hyun, Kisoon;Lee, Junyeop
    • Journal of the Economic Geographical Society of Korea
    • /
    • v.19 no.4
    • /
    • pp.677-693
    • /
    • 2016
  • Using Social Network Analysis and Trade in Value Added Database(TiVA), this paper examines the world trade network. Main findings are as follows. Firstly, there are three types of industries, which have dominant status in the world value added trade network. Those are the manufacturing industries in the developing countries such as China's electronics industry, the service industries in the developed countries such as U.S. R&D, and the manufacturing industries in the developed countries such as German motor vehicle industry. Secondly, the major hub industries in the world trade network have their own specific types in the brokerage roles. Most interestingly, U.S. service industries such as the R&D, the logistics industry, and the whole sale and retail industry reveal itinerant and liaison brokerage roles. Thirdly, Korean industries have been dominated by Chinese industries. However, the financial industry and the R&D industry could have revealed superior status as the brokerage role of itinerant. This implies Korean industries could sustain their competitiveness of the hubness status only by openness policy in the service industry.

A Study on the Choice of Export Payment Types by Applying the Characteristics of the New Trade & Logistics Environment (신(新)무역물류환경의 특성을 적용한 수출대금 결제유형 선택연구)

  • Chang-bong Kim;Dong-jun Lee
    • Korea Trade Review
    • /
    • v.48 no.4
    • /
    • pp.303-320
    • /
    • 2023
  • Recently, import and export companies have been using T/T remittance and Surrender B/L more frequently than L/C when selecting the process and method of trade payment settlement. The new trade and logistics environment is thriving in the era of the Fourth Industrial Revolution (4IR). Document-based trade transactions are undergoing a digitalization as bills of lading or smart contracts are being developed. The purpose of this study is to verify whether exporters choose export payment types based on negotiating factors. In addition, we would like to discuss the application of the characteristics of the new trade and logistics environment. Data for analysis was collected through surveys. The collection method consisted of direct visits to the company, e-mail, fax, and online surveys. The survey distribution period is from February 1, 2023, to April 30, 2023. The questionnaire was distributed in 2,000 copies, and 447 copies were collected. The final 336 copies were used for analysis, excluding 111 copies that were deemed inappropriate for the purpose of this study. The results of the study are shown below. First, among the negotiating factors, the product differentiation of exporters did not significantly affect the selection of export payment types. Second, among the negotiating factors, the greater the purchasing advantage recognized by exporters, the higher the possibility of using the post-transfer method. In addition to analyzing the results, this study suggests that exporters should consider adopting new payment methods, such as blockchain technology-based bills of lading and trade finance platforms, to adapt to the characteristics of the evolving trade and logistics environment. Therefore, exporters should continue to show interest in initiatives aimed at digitizing trade documents as a response to the challenges posed by bills of lading. In future studies, it is necessary to address the lack of social awareness in Korea by conducting advanced research abroad.

Competitiveness and Export Performance in Korean Manufacturing Enterprises : Focusing on the Comparison of Conglomerates and SMEs (국내 제조기업의 경쟁력과 수출: 대기업과 중소기업의 비교를 중심으로)

  • Lee, Dong-Joo
    • Korea Trade Review
    • /
    • v.43 no.3
    • /
    • pp.1-26
    • /
    • 2018
  • This study estimates the technical efficiency and total factor productivity(TFP) of and analyzes the relationship between TFP and exports for Korean manufacturing companies from 2000 to 2016. Specially, TFP is decomposed into Technical Change(TC), Technical Efficiency Change (TEC), and Sale Effect(SE), and compared between large and small enterprises. First, in the case of technical efficiency, the Korean economy has been very vulnerable to external shocks, such as the sharp decline following the 2008 financial crisis. The efficiency of the electronics, automobile, and machinery sectors is low and needs to be improved. In addition, the technological efficiency of large enterprises is higher than that of SMEs in most manufacturing sub-sectors except for non-ferrous metals. In the case of TFP, most changes are due to TC, and the effective combination of labor, capital and the effect of scale have little effect, suggesting that improvement of internal structure is urgent. In addition, volatility due to the impact of the financial crisis in 2008 was much larger in SMEs than in large companies, so external economic impacts are more greater for SMEs than large enterprises. The relationship between TFP decomposition factors and exports shows that TC has a positive effect only on exports of SMEs. Therefore, in order to increase exports, in the case of SMEs, R&D support to promote technological development is needed. In the case of large companies, it is necessary to establish differentiated strategies for each export market, competitor company, and item to link efficiency and scale effect of exports.

  • PDF

The Effect of Trust and Distrust on the Purchase Intention at Internet Shopping Malls - Focusing on the Chinese Users - (인터넷 쇼핑몰에서 신뢰와 불신이 구매의도에 미치는 영향 - 중국 인터넷 쇼핑몰 사용자를 중심으로 -)

  • Park, Hye-Ryeong;Lee, Jin-Yong
    • Proceedings of the Korean DIstribution Association Conference
    • /
    • 2006.05a
    • /
    • pp.103-115
    • /
    • 2006
  • 중국은 세계 무역기구에 가입하면서 세계경제에서 차지하는 위치가 강화되고 디지털 경제체제에 편입되면서 산업구조를 고부가가치 산업으로 개편하고 있다. 동안 상대적으로 외국기업에 대해 폐쇄적이었던 중국의 유통시장은 2006년부터 전면개방이 시작될 것으로 전망되고 있다. 그러나 중국전자상거래 시장에서 정보 기초화와 물류배송 금융체계의 문제는 나날이 안정화되어 온라인 구매환경은 나아지고 있으나, 오히려 해마다 인터넷쇼핑물 구매율의 하락은 온라인 쇼핑몰 상거래에 대한 불신 문제가 그대로 남아있음을 알 수 있다. 따라서 본 연구에서는 중국의 소비자수준에서의 온라인 구매가 활성화되지 못하는 주요 장애요인으로써 불신(distrust)을 제기하고자 하며 신뢰를 신뢰와 불신의 2차원으로 파악하여 각각의 차원(신뢰와 불신)이 마케팅 성과에 차별적으로 공헌하고 있음을 밝히고자 한다. 본 연구에서 선행변수로 상호작용, 지각된 평판, 정보유용성, 지각된 보안위험, 지각된 거래위험을 설정했으며 매개변수로는 신뢰와 불신을, 결과 변수로는 관계몰입과 구매의도로 구성하였다. 결과에서는 온라인 맥락에서는 신뢰와 불신의 선행요인이 온라인 쇼핑몰에 대한 관계몰입과 구매의도에 서로 차별적으로 공헌한다는 것을 밝혔다. 이는 기존의 신뢰를 2차원으로 구분하여 신뢰와 불신으로 분리하여 관리하는 것이 필요하다는 것을 시사한다고 할 수 있다.

  • PDF

The Effects of Relational Characteristics on the Performance of Business-to-Business Electronic Commerce (거래의 관계특성이 기업간 전자상거래 성과에 미치는 영향에 관한 연구)

  • 진영배
    • Journal of the Korea Society of Computer and Information
    • /
    • v.5 no.4
    • /
    • pp.28-40
    • /
    • 2000
  • As the surrounding of companies is more complicated and intensive. many companies attempt managerial innovations by using information technology(IT) strategically. Recently, information technology, especially Electronic Data Interchange(EDI), is highlighted in the surrounding of companies, because it is regarded as a core technology. EDI is the direct computer-to-computer exchange of business documents in standard formats. EDI brings many benefits to the organization such as reduced costs, faster turnaround, better customer service, and strategic advantage. The Purpose of this study is to identify the effects of relational characteristics-communication, trust, conflict, and commitment- on the performance of Business-to-Business EC. In other words, this study examine the relationships between each characteristics and the effects of these characteristics on the organizational performance. The results of empirical analysis revealed that communications between parties have positive influence on the trust and commitment, and high label of commitment on the EDI is improved the organizational performance. In addition, trust in parties indirectly affects characteristics has unexpectedly positive influence on the trust, commitment, and performance.

  • PDF

Analysis and Forecasting for ICT Convergence Industries (ICT 융합 산업의 현황 및 전망)

  • Jang, Hee S.;Park, Jong T.
    • Journal of Service Research and Studies
    • /
    • v.5 no.2
    • /
    • pp.15-24
    • /
    • 2015
  • The trade balance for the information and communications technology (ICT) industries in 2014 have reached 863 hundred million dollars as the main export products such as smart phone and semi-conductor increase, since the ICT industries have played an important role in economic growth in Korea. Until now, the consistent supporting of government and investment of company have been doing with the growth of ICT industries, as a result, Korea marked as the first in the UN electronic government preparing index, and rank 12 in the network preparing index through the policy of national information and basic plan of inter-industry convergence. However, as the unstable international economic circumstances, ICT industries is faced with the stagnation, and then preemptive development of products and services for ICT convergence industries is needed to continually get definite ICT Korea image. In this paper, the ICT convergence industry is analyzed and forecasted. In specific, the international and domestic market for cloud, 3D convergence, and internet of things is diagnosed. The market for ICT convergence industries is predicted to be 3.6 trillion dollar in the world, and 110 trillion won in domestic. From the analytical results for technology and services development, the preemptive supporting of the technology development and policy for the internet of things and 3D convergence industries is required. In addition to, through the future forecasting by socio-tech matrix method, the policy supporting for the ICT convergence area of healthcare, fintech, artificial intelligence, body platform, and human security is needed.

Analyzing Research Trends in Blockchain Studies in South Korea Using Dynamic Topic Modeling and Network Analysis (다이나믹 토픽모델링 및 네트워크 분석 기법을 통한 블록체인 관련 국내 연구 동향 분석)

  • Kim, Donghun;Oh, Chanhee;Zhu, Yongjun
    • Journal of the Korean Society for information Management
    • /
    • v.38 no.3
    • /
    • pp.23-39
    • /
    • 2021
  • This study aims to explore research trends in Blockchain studies in South Korea using dynamic topic modeling and network analysis. To achieve this goal, we conducted the university & institute collaboration network analysis, the keyword co-occurrence network analysis, and times series topic analysis using dynamic topic modeling. Through the university & institute collaboration network analysis, we found major universities such as Soongsil University, Soonchunhyang University, Korea University, Korea Advanced Institute of Science and Technology (KAIST) and major institutes such as Ministry of National Defense, Korea Railroad Research Institute, Samil PricewaterhouseCoopers, Electronics and Telecommunications Research Institute that led collaborative research. Next, through the analysis of the keyword co-occurrence network, we found major research keywords including virtual assets (Cryptocurrency, Bitcoin, Ethereum, Virtual currency), blockchain technology (Distributed ledger, Distributed ledger technology), finance (Smart contract), and information security (Security, privacy, Personal information). Smart contracts showed the highest scores in all network centrality measures showing its importance in the field. Finally, through the time series topic analysis, we identified five major topics including blockchain technology, blockchain ecosystem, blockchain application 1 (trade, online voting, real estate), blockchain application 2 (food, tourism, distribution, media), and blockchain application 3 (economy, finance). Changes of topics were also investigated by exploring proportions of representative keywords for each topic. The study is the first of its kind to attempt to conduct university & institute collaboration networks analysis and dynamic topic modeling-based times series topic analysis for exploring research trends in Blockchain studies in South Korea. Our results can be used by government agencies, universities, and research institutes to develop effective strategies of promoting university & institutes collaboration and interdisciplinary research in the field.