• Title/Summary/Keyword: trade trends

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Marketing Strategy of the Small Business Adaptation to Quarantine Limitations in the Sphere of Trade Entrepreneurship

  • Ivanova, Nataliia;Popelo, Olha;Avhustyn, Ruslan;Rusak, Olena;Proshchalykina, Alina
    • International Journal of Computer Science & Network Security
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    • v.22 no.1
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    • pp.149-160
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    • 2022
  • The article considers the peculiarities of developing a marketing strategy for the adaptation of small businesses to quarantine restrictions in the field of commercial entrepreneurship. The importance of reformatting the existing marketing strategy in connection with the change of key conditions of trade activity with the introduction of quarantine restrictions due to the covid19 virus epidemic is substantiated. Quarantine restrictions and the temporary introduction of lockdown in various countries around the world, including Ukraine, have not only caused a crisis for small businesses. But they became a shock therapy and accelerated the digitalization of retail. Trends in digitalization and development of digital infrastructure allow both to adapt the structures of commercial entrepreneurship to the current conditions, and set directions for development in the long run. Particular attention in the article is paid to changing the business model and automation of sales processes based on the introduction of vending. The preconditions and existing experience of vending in Ukraine are analyzed. An outline of the business model of the project for the sale of goods through vending machines has been developed.

A Comparative Study on FDI Attractiveness Index between Korea and the United States (한·미간 FDI 매력도 비교 연구)

  • Byung-Soo Ahn
    • Korea Trade Review
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    • v.46 no.2
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    • pp.141-160
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    • 2021
  • The scale of global FDI has been decreasing since 2016 due to the ongoing US-China trade dispute, the strengthening of FDI inflow screening regulations with concern over strategic technology leaks, and the spread of reshoring trends due to the reinforcement of national preferences. Eventually, the competition to attract FDI between countries is expected to become more intense. Therefore, in order to attract high-quality FDI for Korea that will contribute to the development of the national economy, it is pressing to evaluate and improve the domestic FDI attraction environment. This study aims to analyze which areas of Korea's economic and non-economic environments need improvement for gaining advantage amid the fierce competition to attract FDI between countries, by the relative comparison between Korea and the U.S., and based on the ranking indicated in key FDI attractiveness indices. As a result, improvement is needed in the following areas. First, according to IMD's "World Competitiveness Ranking 2020," Korea was inferior to the US in terms of business efficiency, productivity, finance and business legislation in terms of government efficiency. Second, according to INSEAD's "Global Talent Competitiveness Index 2020," Korea was inferior to the US in terms of internal openness, external openness, employability, lifelong learning, access to growth opportunity, and business and labor landscapes. Third, according to WEF's "Global Competitiveness Index 2019", Korea was inferior to the US in terms of product market, labor market, business dynamism and workforce skills.

Optimum Tire Contour Design Using Systematic STOM and Neural Network

  • Cho, Jin-Rae;Jeong, Hyun-Sung;Yoo, Wan-Suk;Shin, Sung-Woo
    • Journal of Mechanical Science and Technology
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    • v.18 no.8
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    • pp.1327-1337
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    • 2004
  • An efficient multi-objective optimization method is presented making use of neural network and a systematic satisficing trade-off method (STOM), in order to simultaneously improve both maneuverability and durability of tire. Objective functions are defined as follows: the sidewall-carcass tension distribution for the former performance while the belt-edge strain energy density for the latter. A back-propagation neural network model approximates the objective functions to reduce the total CPU time required for the sensitivity analysis using finite difference scheme. The satisficing trade-off process between the objective functions showing the remarkably conflicting trends each other is systematically carried out according to our aspiration-level adjustment procedure. The optimization procedure presented is illustrated through the optimum design simulation of a representative automobile tire. The assessment of its numerical merit as well as the optimization results is also presented.

Problems of Decarbonization of the Economy of Kazakhstan

  • Yessekina, Bakhyt K.
    • The Journal of Asian Finance, Economics and Business
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    • v.2 no.3
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    • pp.37-39
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    • 2015
  • In this article we consider the modern trends of global warming, GHG pollutions and discussions of the obligations of developed and developing countries before the UN Global Climate Summit in Paris. The article considers decarbonization as a national strategy, including complex tools for the improvement of energy efficiency, reduction of CO2 and development of emissions trading systems. The author underlines that the Central Asian countries such as Kazakhstan and Turkmenistan, have the largest GHG potential in the region, and for this reason they should be within the framework of the UNFCCC and join the international process on development of the national decarbonization strategies.Thesemeasuresallowthese countries to join the global carbon trade marketing, international financial recourses, and significantly reduce CO2 pollutions in the region.

A Study on Performance Characteristics of the Diesel Engine using High Viscous Oils by blending Low Boiling Point Oxygenates (저비점 함산소물질 혼합에 의한 고점도유 사용 디젤기관의 성능특성 연구)

  • ;Noboru Miyamoto
    • Transactions of the Korean Society of Automotive Engineers
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    • v.11 no.4
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    • pp.44-51
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    • 2003
  • By blending of various low boiling point oxygenated agents to lower grade fuels, significant improvements were simultaneously obtained in smoke, CO, PM, SOF and BSEC. Especially, our trends were remarkably obtained by retarding injection timing, by decreasing boiling point and increasing blending contents of additives in case of oxygenated agents rather than non-oxygenated agents. Also, it was revealed that when 20vo1.% DMM added to high viscosity fuels and injection timing was retarded, NOx-smoke trade off relationship was much better than that of ordinary diesel fuel. Thus, lower grade fuels with high viscosity could be expected to be used efficiently and cleanly in diesel operation by blending low boiling point oxygenates.

UK's Digital Policies: Focusing on Strategies of AI and International Provisions (영국의 디지털 정책: AI와 국제규범 전략을 중심으로)

  • J.Y., Lee
    • Electronics and Telecommunications Trends
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    • v.37 no.6
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    • pp.11-22
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    • 2022
  • The UK is a service superpower with solid and well-developed financial and insurance services, including FinTech. Much of the UK's service industry is digital and becoming increasingly so. Primary sources constituting the UK's comparative advantage in services could be factored in business conditions driving innovation in the digital age and world-leading digital competitiveness. Therefore, this study examined the UK's digital policies. This research's focal strands were the UK's digital strategy, national artificial intelligence strategy, and digital trade objectives. As an essential insight for policymakers and other stakeholders, this study proposes that government policies in response to the digital economy are inextricably linked, leading to a critical driver for the UK's digital competitiveness.

Analysis and Trends of Korea's Trade Balance D'eficit (한국 무역수지 적자 원인분석 및 동향)

  • Sung Jin Kim;Jun Won Choi
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.01a
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    • pp.155-158
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    • 2023
  • 한국 무역수지는 지난해 12월, 올해 1월과 4월부터 현재까지 8개월간 연속 적자를 기록했다. 2000년 이후 무역수지가 2개월 이상 지속된 적은 2008년 세계경기 위기 이후 처음이다. 수출 부분도 23개월 연속 증가세를 이어오다가 반도체 등 주력 품목 수출액이 급감하면서 2년 만에 감소로 돌아섰다. 무역수지에 악영향을 끼치는 요인으로는 러시아·우크라이나 전쟁 장기화, 주요국 통화 긴축 등에 따른 글로벌 경기둔화 영향으로 각국의 수입 수요가 둔화되고 있는 상황이다. 특히, 우리 최대 수출국인 중국의 수입시장 위축과 최대 수출 품목인 반도체 가격 하락이 우리 수출에 부담으로 작용했다. 위와 같은 상황을 고려하면 당분간 수출 감소·무역적자 흐름에서 벗어나기 어려울 전망이다. 본 논문에서는 무역수지가 어떠한 요인들에 의해서 결정되고 이러한 요인들의 영향에 의하여 무역수지가 어떻게 변동하는지를 실증적으로 분석하고 시사점을 도출하고자 한다.

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An Exploratory Study of Cross-border Crowdfunding: Focusing on South Korea-based Projects from Kickstarter (국경 간 크라우드펀딩에 관한 탐색적 연구: 킥스타터의 한국 프로젝트를 중심으로)

  • Sehwan Oh
    • Korea Trade Review
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    • v.45 no.1
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    • pp.13-29
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    • 2020
  • With the development of the Internet environment, cross-border crowdfunding has emerged as a novel method to attract foreign investors online. Focusing on 324 South Korea-based crowdfunding projects from Kickstarter, which is a representative cross-border crowdfunding platform, this study explores the trends of South Korea-based funding projects and examines the effects of key determinants on crowdfunding outcomes. Regarding the characteristics of crowdfunding projects, analysis results show that the appropriate goal amount and funding period, sufficient updates of project status, and active communication is critical for success. Additionally, from the perspective of project creators, this research finds that creators need to pay greater attention to writing their detailed biographies. Finally, examining the characteristics of project backers, this study shows that attracting project backers from various countries would be desirable rather than focusing on Korean sponsors from the start.

Predicting Performance of Heavy Industry Firms in Korea with U.S. Trade Policy Data (미국 무역정책 변화가 국내 중공업 기업의 경영성과에 미치는 영향)

  • Park, Jinsoo;Kim, Kyoungho;Kim, Buomsoo;Suh, Jihae
    • The Journal of Society for e-Business Studies
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    • v.22 no.4
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    • pp.71-101
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    • 2017
  • Since late 2016, protectionism has been a major trend in world trade with the Great Britain exiting the European Union and the United States electing Donald Trump as the 45th president. Consequently, there has been a huge public outcry regarding the negative prospects of heavy industry firms in Korea, which are highly dependent upon international trade with Western countries including the United States. In light of such trend and concerns, we have tried to predict business performance of heavy industry firms in Korea with data regarding trade policy of the United States. United States International Trade Commission (USITC) levies countervailing duties and anti-dumping duties to firms that violate its fair-trade regulations. In this study, we have performed data analysis with past records of countervailing duties and anti-dumping duties. With results from clustering analysis, it could be concluded that trade policy trends of the Unites States significantly affects the business performance of heavy industry firms in Korea. Furthermore, we have attempted to quantify such effects by employing long short-term memory (LSTM), a popular neural networks model that is well-suited to deal with sequential data. Our major contribution is that we have succeeded in empirically validating the intuitive argument and also predicting the future trend with rigorous data mining techniques. With some improvements, our results are expected to be highly relevant to designing regulations regarding heavy industry in Korea.

Analysis of Global Shipping Market Status and Forecasting the Container Freight Volume of Busan New port using Time-series Model (글로벌 해운시장 현황 분석 및 시계열 모형을 이용한 부산 신항 컨테이너 물동량 예측에 관한 연구)

  • JO, Jun-Ho;Byon, Je-Seop;Kim, Hee-Cheul
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.10 no.4
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    • pp.295-303
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    • 2017
  • In this paper, we analyze the trends of the international shipping market and the domestic and foreign factors of the crisis of the domestic shipping market, and identify the characteristics of the recovery of the Busan New Port trade volume which has decreased since the crisis of the domestic shipping market We quantitatively analyzed the future volume of Busan New Port and analyzed the trends of the prediction and recovery trends. As a result of analyzing Busan New Port container cargo volume by using big data analysis tool R, the variation of Busan New Cargo container cargo volume was estimated by ARIMA model (1,0,1) (1,0,1)[12] Estimation error, AICc and BIC were the most optimal ARIMA models. Therefore, we estimated the estimated value of Busan New Port trade for 36 months by using ARIMA (1, 0, 1)[12], which is the optimal model of Busan New Port trade, and estimated 13,157,184 TEU, 13,418,123 TEU, 13,539,884 TEU, and 4,526,406 TEU, respectively, indicating that it increased by about 2%, 2%, and 1%.