• Title/Summary/Keyword: trade trends

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Features and Tendencies of the Digital Marketing Use in the Activation of the International Business Activity

  • Zhygalkevych, Zhanna;Zalizniuk, Viktoriia;Smerichevskyi, Serhii;Zabashtanska, Tetiana;Zatsarynin, Serhii;Tulchynskiy, Rostislav
    • International Journal of Computer Science & Network Security
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    • v.22 no.1
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    • pp.77-84
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    • 2022
  • The study highlights the features and trends of digital marketing for international business. To achieve these goals, the authors used a systematic approach that allows a comprehensive approach to the object of study, as well as used general and specific methods of scientific knowledge on the application of digital marketing for international business. The dynamics of the number of users of social networks in the world is analyzed, which allowed us to conclude about the steady trend of increasing the number of users of the Internet and social networks, as well as the time spent by users on social networks. The study of the dynamics of the number of users of social networks provides increased efficiency in the use of digital marketing tools to enhance international business. The most effective digital marketing tools for international business, including artificial intelligence, conversational marketing, chatbots, personalization, video marketing, live shopping, social media stories, interactive content, omnic marketing, augmented reality and technology immersion, native advertising, green marketing and mobile commerce.

An Investigation into the Historical Context of a Kimono and Its Sartorial Relevance in Western Societies in 2022

  • Elizabeth J, Burton
    • Journal of Fashion Business
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    • v.26 no.6
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    • pp.14-31
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    • 2022
  • Worn by both males and females the kimono is the national dress of Japan. Previous research highlights that this national dress is fading from tradition and evolves to develop with the times and fashion trends. This research aims to investigate what a kimono represents both historically and currently within Western society. The idea of the kimono being more than a national dress representing Japan, the main three themes researched will be (1) Shape (2) Narrative (3) Journey from East to West. Based on both primary and secondary sources this research indicates that there is a strong relationship between the universal increase of kimono wearers in Eastern and Western societies from history through to present day. Primary research is utilised in the form of two types of interviews. Primary outcomes bring a personal perspective to how and why kimono is worn nowadays within Europe. Secondary sources include online lectures held by kimono specialists as well as subject relevant books. From the 19th century where the Dutch were the only European country to trade with Japan, an exchange of fabrics took place which later led to the exchange of: fit, fashion and pattern (primarily within Western womenswear fashion.) This distinct garment never gets discontinued and evolves with social demands within society today.

Development of Dataset Items for Commercial Space Design Applying AI

  • Jung Hwa SEO;Segeun CHUN;Ki-Pyeong, KIM
    • Korean Journal of Artificial Intelligence
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    • v.11 no.1
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    • pp.25-29
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    • 2023
  • In this paper, the purpose is to create a standard of AI training dataset type for commercial space design. As the market size of the field of space design continues to increase and the time spent increases indoors after COVID-19, interest in space is expanding throughout society. In addition, more and more consumers are getting used to the digital environment. Therefore, If you identify trends and preemptively propose the atmosphere and specifications that customers require quickly and easily, you can increase customer trust and conduct effective sales. As for the data set type, commercial districts were divided into a total of 8 categories, and images that could be processed were derived by refining 4,009,30MB JPG format images collected through web crawling. Then, by performing bounding and labeling operations, we developed a 'Dataset for AI Training' of 3,356 commercial space image data in CSV format with a size of 2.08MB. Through this study, elements of spatial images such as place type, space classification, and furniture can be extracted and used when developing AI algorithms, and it is expected that images requested by clients can be easily and quickly collected through spatial image input information.

Data Science and Machine Learning Approach to Improve E-Commerce Sales Performance on Social Web

  • Hussain Saleem;Khalid Bin Muhammad;Altaf H. Nizamani;Samina Saleem;M. Khawaja Shaiq Uddin;Syed Habib-ur-Rehman;Amin Lalani;Ali Muhammad Aslam
    • International Journal of Computer Science & Network Security
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    • v.23 no.8
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    • pp.137-145
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    • 2023
  • E-Commerce is a buzzword well known for electronic commerce activities including but not limited to the online shopping, digital payment transactions, and B2B online trading. In today's digital age, e-commerce has been playing a very important and vital role in areas such as retail shopping, sales automation, supply chain management, marketing and advertisement, and payment services. With a huge amount of data been collected from various e-commerce services available, there are multiple opportunities to use that data to analyze graphs and trends. Strategize profitable activities, and forecast future trade. This paper explains a contemporary approach for collecting key data metrics and implementing cost-effective automation that will support in improving conversion rates and sales performance of the e-commerce websites resulting in increased profitability.

Knowledge Distribution in the Science and Technology Space (Case of the Eurasian Economic Union)

  • Farida ALZHANOVA;Gulnaz ALIBEKOVA;Farkhat DNISHEV;Nazyken BAGAYEVA
    • Journal of Distribution Science
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    • v.21 no.9
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    • pp.81-91
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    • 2023
  • Purpose: The article aims to assess the possibilities and contribution of countries to the creation and distribution of knowledge circulating in the scientific and technological space of the EAEU. Research design, data, and methodology: To understand the conditions and possibilities for the distribution of knowledge, the methodology of the quality of economic space used. The space is considered through density, placement, connectedness, and asymmetry. Used bibliometric analysis, balance of payments analysis, and integration indicators. Results: The study showed that low barriers, including language, created visible advantages in the mutual distribution of knowledge. However, the geo-technological space of the EAEU is polarised and has differences in the density and distribution of scientific resources. Asymmetries are shown in the distance between countries in multidirectional trends. Cooperation between countries has a different level of interaction. Conclusions: The internal resources of the geo-technological space of the EAEU are limited, and most of the needs are covered by external sources. Some mechanisms of the scientific policy of countries in scientific careers act as «demotivates» for distributing knowledge within the EAEU. Countries need to improve the quality of services and trade data to better understand technology distribution processes through bilateral channels.

An Analysis of Sustainable Macro Trends of Luxury Fashion Brands (럭셔리 패션 브랜드의 지속가능 매크로 트렌드 분석)

  • Lee, Hojae;Ko, Eunju
    • Journal of Fashion Business
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    • v.26 no.1
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    • pp.16-29
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    • 2022
  • Environmental problems increasingly serious, and sustainability in the fashion industry has become an essential factor. Nowadays, numerous brands are engaging in sustainable fashion activities, such as recycling, vegan, fair trade, etc., which have not been done before. However, there are limited studies about sustainable fashion activities focusing on luxury brands. The purpose of this study is to establish the current status of luxury brands' sustainable fashion activities based on the macro trend of Todeschini et al(2017)'s thesis. This study selected six global luxury fashion brands Louis Vuitton, Hermes, Gucci, Prada, Burberry, and Stella McCartney. Data were collected from the brand's websites and reports, fashion magazines, and Google. As a result of the study, the following adjustments are being implemented; first, efforts are being made to reduce the consumption of natural resources. Second, transparency on working conditions is provided in various ways. Third, luxury brands' awareness of the sharing economy was not opened. Fourth, efforts are being made to develop eco-friendly materials and technologies to minimize wastage. Based on these research results, if applied as basic data for the development of Korean fashion brands and start-up companies, it will help establish directions of sustainable fashion strategies.

International Diesel Price Prediction Model based on Machine Learning with Global Economic Indicators (세계 경제 지표를 활용한 머신러닝 기반 국제 경유 가격 예측 모델 개발)

  • A-Rin Choi;Min Seo Park
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.251-256
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    • 2023
  • International diesel prices play a crucial role in various sectors such as industry, transportation, and energy production, exerting a significant impact on the global economy and international trade. In particular, an increase in international diesel prices can burden consumers and potentially lead to inflation. However, previous studies have primarily focused on gasoline. Therefore, this study aims to propose an international diesel price prediction model. To achieve this goal, we utilize various global economic indicators and train a linear regression model, which is one of the machine learning methodologies. This model clearly identifies the relationship between global economic indicators and international diesel prices while providing highly accurate predictions. It is expected to aid in understanding overall economic trends including market changes.

Study on the Legal Protection of Sports Organizer's Profit and Introduction of Intellectual Property Right (경기주최자의 재산적 이익의 법적 보호방안과 지식재산권 도입론)

  • Lee, Sung-Un
    • Journal of Legislation Research
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    • no.54
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    • pp.345-382
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    • 2018
  • Sports events are not copyrighted and sports organizer's profit from sports events is not subject to intellectual property law in our legislation. Most other countries, except for France, do not also recognize sports organizer's profit as an intellectual property right. For this reason, legal grounds protecting sports organizer's profit must be found from current law such as tort law or Unfair Competition and Trade Secret Protection Act. It is irrefutable that these laws play a significant role in protecting sports organizer's profit by imposing restrictions on taking unfair advantage of others' efforts or investment. Nevertheless, protecting sports organizer's profit through such laws has its limits because sports events and relevant information outside the protection category of intellectual property law are considered as public domain. Therefore, introduction of sports organizer's intellectual property right through legislation will serve to faithfully protect sports organizer's profit. Even countries where spectator sports industry is fully in force actively discuss the issue of introducing sports organizer's intellectual property right. Intellectual property law, like other laws, is keenly subject to international trends due to market globalization and sensitively responds to the trends. I believe that further discussions are highly required about the introduction of sports organizer's intellectual property right that properly reflects international trends.

Trade-off Analysis Between National Ecosystem Services Due to Long-term Land Cover Changes (장기간 토지피복 변화에 따른 국내 생태계서비스 간 상쇄효과(Trade-off) 분석)

  • Yoon-Sun Park;Young-Keun Song
    • Korean Journal of Environment and Ecology
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    • v.38 no.2
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    • pp.204-216
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    • 2024
  • Understanding the trade-off effect in ecosystem services and measuring the interrelationships between services are crucial for managing limited environmental resources. Accordingly, in this study, we identified the dominant trends and increases and decreases in ecosystem services derived from changes in land cover over about 30 years and tracked changes in the relationships between ecosystem services that occurred over time. Through it, we determined the relationship between land cover changes and ecosystem service changes, as well as the distinct characteristics of service changes in different areas. The research primarily utilized the InVEST model, an ecosystem service assessment model. After standardizing the evaluation results between 0 and 1, it went through principal component analysis, a dimensionality reduction technique, to observe the time-series changes and understand the relationships between the services. According to the research results, the area of urbanized regions dramatically increased between 1989 and 2019, while forests showed a significant increase between 2009 and 2019. Between 1989 and 2019, the national ecosystem service supply witnessed a 13.9% decrease in water supply, a 10.5% decrease in nitrogen retention, a 2.6% increase in phosphorus retention, a 0.9% decrease in carbon storage, a 1.2% increase in air purification, and a 3.4% decrease in habitat quality. Over the past 30 years, South Korea experienced an increase in urbanized areas, a decrease in agricultural land, and an increase in forests, resulting in a trade-off effect between phosphorus retention and habitat quality. This study concluded that South Korea's environment management policies contribute to improving ecosystem quality, which has declined due to urbanization, and maximizing ecosystem services. These findings can help policymakers establish and implement forestry policies focusing on sustainable environmental conservation and ecosystem service provision.

Analysis of Appropriate Automobile Tax Rate Considering the Average CO2 Emissions by Engine Displacement in Korea (한국의 배기량별 평균 CO2 배출량을 고려한 자동차세의 적정 세율 분석)

  • Hyunwoo Choi;Min Gyeong Jung;Hyeon Woo Jang;Dong Koo Kim
    • Environmental and Resource Economics Review
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    • v.32 no.4
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    • pp.217-238
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    • 2023
  • Currently, automobile tax in Korea is imposed by multiplying the vehicle's engine displacement by a certain tax rate. However, the need for revision is being raised as it is pointed out that the current system does not reflect the immediate task of reducing greenhouse gas emissions. Accordingly, this study focuses on the positive relationship between engine displacement and CO2 emissions, and seeks to calculate an appropriate automobile tax rate considering average CO2 emissions. To this end, first, we estimated the average annual CO2 emissions (kg/vehicle) for each engine displacement using the average CO2 emissions for each vehicle displacement as of 2020. Next, multiple scenarios were analyzed considering the standard tax rate at $75 per ton of CO2 emissions proposed by the IMF (2019). In particular, we compared the case of imposing a uniform carbon tax of $75 and the case of imposing a progressive tax based on CO2 emissions by displacement. According to the results, it was confirmed that the uniform tax rate proposed by the IMF is difficult to apply to Korea as it is due to the impact of a decrease in tax revenue, and a tax scheme needs to be designed appropriately considering maintenance of tax revenue according to the current automobile tax, greenhouse gas reduction effect, and automobile tax reform trends in developed countries. For example, in the case of the K3 (1,598cc) of Kia Motors, a representative compact car sold in Korea, if we compare the tax burdens for each tax scenario, the tax burden will be about 220,000 KRW under the current system, about 79,000 KRW under the uniform tax rate, about 83,000 KRW under the progressive tax rate, and about 240,000 KRW under the progressive tax rate similar to the UK tax system, respectively. In this way, this study identified the current statuses of automobile registration and tax in Korea, and automobile tax reform trends in major developed countries, and analyzed the impact of automobile tax reform considering engine displacement and CO2 emissions, focusing on the tax burden of the people.