• Title/Summary/Keyword: On-line Market

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Analysis and Estimation for Market Share of Biologics based on Google Trends Big Data (구글 트렌드 빅데이터를 통한 바이오의약품의 시장 점유율 분석과 추정)

  • Bong, Ki Tae;Lee, Heesang
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.43 no.2
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    • pp.14-24
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    • 2020
  • Google Trends is a useful tool not only for setting search periods, but also for providing search volume to specific countries, regions, and cities. Extant research showed that the big data from Google Trends could be used for an on-line market analysis of opinion sensitive products instead of an on-site survey. This study investigated the market share of tumor necrosis factor-alpha (TNF-α) inhibitor, which is in a great demand pharmaceutical product, based on big data analysis provided by Google Trends. In this case study, the consumer interest data from Google Trends were compared to the actual product sales of Top 3 TNF-α inhibitors (Enbrel, Remicade, and Humira). A correlation analysis and relative gap were analyzed by statistical analysis between sales-based market share and interest-based market share. Besides, in the country-specific analysis, three major countries (USA, Germany, and France) were selected for market share analysis for Top 3 TNF-α inhibitors. As a result, significant correlation and similarity were identified by data analysis. In the case of Remicade's biosimilars, the consumer interest in two biosimilar products (Inflectra and Renflexis) increased after the FDA approval. The analytical data showed that Google Trends is a powerful tool for market share estimation for biosimilars. This study is the first investigation in market share analysis for pharmaceutical products using Google Trends big data, and it shows that global and regional market share analysis and estimation are applicable for the interest-sensitive products.

A Study on the Activation of the Fur Fashion Industry in Korea(Focused on the opening domestic Fur Market after 1988) (한국 모피 패션 산업 활성화에 관한 연구 -'88년 모피 내수시장 개방 이후를 중심으로-)

  • 정성혜
    • Journal of the Korean Society of Costume
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    • v.22
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    • pp.45-60
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    • 1994
  • Since 1988 the fur fashion industry in Korea has been difficult in exporting and competition with too many brands after opening the dom-estic fur market. However comparing with the interest of manufactures and consumers there are few of related references and books. So the purpose of this study is to put in order and summurize the manufacture in fur cloth-ing the informations of domestic and oversea fur markets and the other professional references. After all it is to help succeed in domestic and international fur markets and give the new ideas of designing and merchandising to the fur fashion industry. The results were as follows: 1. Contact with fur specialty stores in the international fashion cities and tourist cities directly. 2. Establish oversea factories in the low labor countries. 3. Exploit and invest in Russia china and the East European countries for suppliment of law materials and fur market. 4. Need the market research and promotion for encroachment in Japanese fur market. 5. Create the original brands with inter-national fashion sense. 6. Develop the manufacture line for diverse models in small lots matching with the modern life styles. 7. Need the fashion show exhibition pro-motion with reasonable prices and creative new designing with various color trimming texturizing and combination with the other materials. 8 Subdivide and distinguish labels into different types for avoiding with too much com-petition and comvenience of consumers. 9. Make an effort to weaken the black mar-ket the 30% of the domestic fur market.

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A Study on Market Segmentations and Shopping Orientations of Home Shopping User: Based on Mixture Model (Mixture model에 의한 홈쇼핑 이용자 시장세분화와 쇼핑성향)

  • Seo, Jeong-Ah;Lee, Jin-Hwa;Hong, Jae-Won
    • Journal of the Korean Society of Clothing and Textiles
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    • v.32 no.7
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    • pp.1023-1033
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    • 2008
  • The purpose of this study was to segment home-shopper market by using the demographic characteristics. This study enables a better unders landing of home-shoppers and improving the strategy of marketing. The specific objects of this study are as follow: First, it was to exam market segmentations by demographic factors using mixture model. Second, it was to exam shopping orientations of fashion merchandise according to segmentation groups. The data was collected from 637 subjects who had used the home shopping more than one time in a year. The data was analysised through frequencies, factor analysis, ANOVA, Duncan's mutiple range tests with SPSS 12.0 and Mixture model. The results of data are as follows: 1. The result of market segmentation as demographic factor using Mixture model was extracted to 4 market segments called 20's/ unmarried stage, 30's/ children bearing & rearing stage, 40's/ families with children's education stage, 50's/ aging stage. 2. Shopping orientations were extracted to 5 factors called a pleasure oriented, convenience oriented, off-line oriented, human oriented, thrift oriented.

The Analysis on Fashion Image through Change in Trend - Focusing on Domestic Women's Wear between $2000{\sim}2006$ - (트렌드 변화에 따른 패션이미지 분석 -2000년${\sim}$2006년 국내 여성복을 중심으로-)

  • Park, Yun-A
    • Journal of the Korea Fashion and Costume Design Association
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    • v.10 no.1
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    • pp.145-159
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    • 2008
  • This study has examined the shift in fashion styles in Korea by analyzing trends in fashion environment and fashion image by seasons in Korea to understand the domestic fashion flow from 2000 to 2006. Since 2000, with the well-being trend, polarization of consumption, preference in luxury orientation, and digital revolution, consumers became individualized and detail oriented. They also became smart consumers equipped with information and knowledge in making choice and purchasing products suiting their taste. To satisfy the consumer trend, fashion market also saw changes such as expansion of advanced distribution, totalization of brands, growing of on-line shopping mall, expansion of outdoor-wear market, and formation of masstage(mass+prestage) market. Fashion images in domestic women's wear since 2000 are analyzed as classic, elegant, minimalism, romantic, bohemian & vintage, ethnic, glam, girlish, kidult, sportive, femiculine, military, and lingerie image. Classic, romantic, and bohemian & vintage are the images that were popular throughout 2000 to 2006. Fashion images of domestic women's wear showed changes in three periods: Sportive image was popular in FW 2002; military image in SS 2003 to SS 2005; and femiculine, glam, and minimalism images in FW 2005 to FW 2006. Through information and detail-oriented emotion, the wide-ranging acceptance of global trends, the consumer tendency towards purchasing products quickly and conveniently, the speedy supply of trendy products both on-line and in-store, and the evolution of the fashion market towards providing one-stop shopping and a cultural space, different fashion images have all emerged at the same time in Korea. It looks like this phenomenon is set to continue for a while.

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Exploring On-line Consumption Tendency of Sports 4.0 Market Consumer: Focused on Sports Goods Consumption by Generation of Working Age Population (스포츠 4.0 시장 소비자의 온라인 소비성향 탐색: 생산 가능인구의 세대별 스포츠 용품 소비를 중심으로)

  • Jin-Ho Shin
    • Journal of the Korean Applied Science and Technology
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    • v.40 no.1
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    • pp.24-34
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    • 2023
  • This study sought to explore the online consumption propensity of sports goods by generation of the productive population and to provide basic data to predict the future consumption market by segmenting online consumers in the sports 4.0 market. Therefore, this survey was conducted on those who consumed sports goods among the generation-specific groups (Generation Y and above, Z) of the productive population, and a total of 478 people's data were applied to the final analysis. Data processing was conducted with SPSS statistics (ver.21.0), frequency analysis, exploratory factor analysis, correlation analysis of re-examination reliability, reliability analysis, and decision tree analysis. According to the online consumption propensity of sports goods by generation of the productive population, there is a high probability of being classified as Generation Z group if the factors of leisure, joy, and environment are high. In addition, the classification accuracy of such a model was 69.7%.

Research about Choice Attribution Customers make in Food & Beverage Events (식음료 이벤트의 고객 선택속성에 관한 연구)

  • Park, Jong-Hun;Jin, Yang-Ho
    • Culinary science and hospitality research
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    • v.10 no.1
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    • pp.32-45
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    • 2004
  • This study is about choice attribution of customers make in food and beverage events. The researcher provided practical plans to uplift food-related enterprises and activate management through surveys and positive analyses, targeting customers who use food services. First of all, all event plans must include customer demands, social changes, special qualities of the business, and market research. Second, low demand season must be customers will be induced to the events. Third, prediction for market variable and solutions must be thoroughly examined and plans should look into the future to maintain a long period of time. Fourth, sufficient communication between planners and employees should be made before the event starts, so that food and beverage businesses can gain trust and quality of event services.Fifth, immaterial service and visible goods/menus in business of food and beverage events must be closely matched. Sixth, menus introducing a variety of merchandise, quality of nutrition and health of the business should be developed. Also, events from countries(regions) should be hold to create a market of cultural exchange. Seventh, for hereafter event plans, feedbacks are needed concerning customers needs and demands through customer care, after the food and beverage events. Eight, faculty management for convenience, kindness, safety, and life preserver accommodations in parking areas must be made, as automobiles are necessaries for people in Mycar era. The ninth, off-line and on-line care through on-line business construction and production of homepage must be done, due to the fact that even the well-made events are bound to fail if they are not delivered to the customers.

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A Study on the Competitive Structure and Business Models of MRO e-Marketplace (기업소모성자재(MRO) 관련 e-Marketplace의 경쟁구조와 비즈니스 모델에 관한 연구)

  • An, Chong-Soo
    • International Commerce and Information Review
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    • v.7 no.4
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    • pp.117-134
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    • 2005
  • B2B transaction was expected to dominate in the global market and thus many e-marketplaces have been built since 1999 in Korea. However, only a few e-marketplaces are thriving and the future of B2B e-marketplaces except MRO area seem to be uncertain. This paper explores why B2B transactions only in MRO area are rapidly increasing and examines the competing structure and business models of MRO e-marketplace. Business models of MRO e-marketplaces are various among different countries. However, they can be classified as three business models:information portal model, purchasing agent model, open market model. It is not easy to answer which business model is most competitive because each models have their own advantages and functions. Information portal model can be easily applied for the e-marketplace which operates off-line enterprises. Purchasing agent model is favorable to the e-marketplaces which has already obtained buyers and sellers. Open market model is desirable to the e-marketplace which has excess to global market.

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Dynamic Pricing for User Created Contents : Computer Modeling and Simulation (UCC의 동적 가격 결정 : 모델링과 시뮬레이션 이용)

  • Chung, Doo-Shik;Jo, Hyeon;Kim, Soung-Hie
    • The Journal of the Korea Contents Association
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    • v.12 no.6
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    • pp.56-67
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    • 2012
  • The User Created Contents (UCC) are traded actively on the on-line market. The current pricing policy on the UCC market is the fixed pricing, which is set by the seller once and price never changes again. However market demand and supply are changing hourly, so the studies about dynamic pricing to determine more properly have been carried out. This paper suggests dynamic pricing models for UCC by analyzing the customer's searching pattern. We propose 2 pricing models (trend change-based pricing model and relative pricing model), and experiment various status by controlling system and market variables. We demonstrated our model by computational modeling and simulation. The result of this research can be useful guidelines to increase the revenue and profit of the UCC Market.

The Strategy for the Traditional Market's Attractions (재래시장 명소화 전략)

  • Lee, Yk-Su;Park, Koo-Won;Park, Jin-Woo
    • The Journal of the Korea Contents Association
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    • v.8 no.2
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    • pp.222-230
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    • 2008
  • Depending on the changing business environment in the traditional markets are experiencing a lot of difficulties. In order to enable traditional markets has been to the brink of a variety of studies in progress. Accordingly, the government has a budget to support the massive effort to modernize its traditional markets. However, traditional market is changing, but the bottom line is the actual appearance of solving performance was still little. Based on these issues, awareness of the current research conducted in this desirable market and the traditional market for the traditional differences in the recognition of the discovery. Recognition of these differences based on the traditional attractions market direction and composition of the present strategy.

The On-Line Application Algorithm of SCOPE Using Time-varying Sensitivities (시변민감도를 이용한 안전도제약 최적조류계산의 On-Line 적용 알고리즘)

  • 김발호;신영균
    • Journal of Energy Engineering
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    • v.13 no.1
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    • pp.60-67
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    • 2004
  • The recent movement to deregulated and competitive electricity market reacquires new concepts against existing central dispatch in the system operation and pinning. As power systems tend to be operated more closely to their ultimate ratings, the role of SCOPF (Security Constrained Optimal Power flow) is changed and the importance for real-time security inhancement will be more increased i]1 the new and com partitive electricity market. This paper deals with the application of the SCOPF which makes possible the On-Line application. The security margin of power system truly is changed according to the conditions or configuration of power systems, therefore, the sensitivity factor reiated to the security is recalculated and the application should be updated in accordance with the state of power system. The goal of this paper is to obtain proper security through the effluent usage of the sensitivity and to apply this a1gorithm to system operation. The proposed mechanism has been tested on a sample system and the results show more secure conditions against critical contingencies.