• Title, Summary, Keyword: Market Analysis

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An Analyzing the Competitiveness of Chinese Metal Items in the Korean Market under Korea-China FTA (한·중 FTA에 따른 중국산 금속 품목의 한국시장 경쟁력 분석)

  • Kim, Ji-Yong
    • Asia-Pacific Journal of Business
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    • v.8 no.1
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    • pp.67-77
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    • 2017
  • The purpose of this study was to analysis Korean market competitiveness of Chinese metal items. Methods of analysis were Market Share Index, Market Comparative Advantage. The data was collected through Korean Materials & Components Technology Network and period of analysis were 2009-2016. Chinese main 6 metal items which recorded high-ranked export sum and exported to Korea in 2009-2016. From this study, following results were found. i) In searching trade balance aspects through MSI, highly ranked Chinese metal items in Korea market were steel rolling, pressing&elongation products, steel tubes, steel casting industry. ii) In searching market advantage aspects through MCA, Chinese metal items have strong competitiveness in Korea market. especially, steel rolling, pressing & elongation products, steel tubes, steel casting industry had strong competitiveness in Korea Market. In conclusion, we found that most of Chines metal items have competitiveness in Korea market. Especially, steel rolling, pressing & elongation products had very strong competitiveness in Korea market.

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Types and Patterns of the Analysis of Technology and Market (기술시장분석의 유형과 패턴)

  • Seol, Sung-Soo;Park, Jung-Min
    • Journal of Korea Technology Innovation Society
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    • v.7 no.1
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    • pp.182-206
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    • 2004
  • This is the review of 2,500 cases on the trend analysis of technology and market. We find the fact that the patterns of trend analysis are defined by the purpose and size of the series and analysis, not by the difference of experience, educational background, country or organization. Based on these facts, we define 14 types of the analysis of technology and market. Also we conceptualize several patterns of the analysis in methodology, techniques, analytical index, structure, information source and the value by types of trend analysis.

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A Comparative Analysis on Competitiveness for Computer Parts Industry between Korea and China (한.중 컴퓨터 부품산업의 경쟁력 비교분석)

  • Kim, Ji-Yong;Lee, Chang-Hyeon
    • International Commerce and Information Review
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    • v.9 no.2
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    • pp.423-439
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    • 2007
  • The purpose of this study was to analyze market competitiveness of Korean and Chinese computer parts industry in the between two countries' market by using Index of Export Bias and Market Comparative Advantage Index. For attaining the purpose of study, we classified the computer parts which exported to the two countries' market and the imported products as the memory devices and input/output peripheral devices. Analyzing period was 2001-2006. The analysis of Korean results of Index of Export Bias indicated that memory devices represented low overall numerical value and the Chinese results of Index of Export Bias indicated that memory devices represented high gradual numerical value. On the other hand, Korean input/output peripheral devices have been increasing steadily for analysis period and China input/output peripheral devices have been decreasing steadily for analysis period. Additional results indicated that the Korean and China computer parts which gained market competitiveness between two countries market were as follows. Korean memory devices have been losing competitiveness in the China market steadily and Chinese memory devices have been acquire competitiveness in the Korean market gradually. In input/output peripheral devices case, Korean products represented powerful competitiveness in the China market and Chinese products have been gaining competitiveness in the Korea market.

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The Present and Future of the Food Market in Northeast Asia: Confectionery Markets

  • Jeong, Han-Na-Ra;Moon, Junghoon
    • Agribusiness and Information Management
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    • v.4 no.1
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    • pp.41-47
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    • 2012
  • The Asian food market has been growing recently, due to the role played by major Asian countries, which include Korea, China, and Japan. This study is purposed to investigate the potential of the food market in these Northeast Asian countries and to suggest future direction for global food companies. For in-depth analysis, this study is limited in scope to the confectionery market and analyzes that market within two frameworks: first, the 'Market Attractiveness Matrix' which transforms the 'BCG Matrix' to fit into the food market in order to analyze the flow in the Asian confectionery market; and second, analysis of the potential growth of the market using a Category Development Index (CDI), which aids in understanding the growth potential of a market. The European food market has recently reached its capacity and is now experiencing a low growth rate (Data Monitor, 2011). It is time for food companies to find a new 'blue ocean' to avoid fierce competition in the mature markets of Europe. Therefore, this analysis of the confectionery market, using the Market Attractiveness Matrix and CDI will suggest opportune directions for global food companies.

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The Analysis of the Factors in Customer Trust and Revisit Decision in Traditional Market (전통시장 방문요인과 고객신뢰간의 관계분석 및 재방문 결정의 관계에 관한 연구)

  • Kim, Pan-Jin
    • The Journal of Industrial Distribution & Business
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    • v.8 no.7
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    • pp.71-81
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    • 2017
  • Purpose - The purpose of this study is to investigate the relationship between customer trust and intention to return to the traditional market by using empirical analysis. Research design, data, and methodology - For the empirical analysis of this study, questionnaires were conducted for adults and over 20s. A total of 200 questionnaires were distributed to consumers with experience in traditional markets, and 163 of them were used for empirical analysis. In order to analyze the relationship between customer trust and return visit intention by consumers visiting the traditional market, variables were selected through 10 constructive concepts and revised based on previous studies. The SPSS for win 18.0 was used for data analysis. Results - In order to clarify the relationship between consumer's visit to traditional market and customer's trust, it was found that the tolerance values of both the visiting factors and the consumers' perceptions of traditional markets were higher than .01. In the relationship between visitor's visit to traditional market and customer's trust, price was positively related to customer trust at 0.1% level. Image, product quality and freshness of traditional market were 5% Positive effects were found. These results show that consumers who visit traditional markets gain customer's trust in price, image, product quality and reliability of traditional market. Conclusions - In this study, the results of this study are as follows: First, the effect of customer trust on customer satisfaction is affected by the image (emotion) consumers feel about traditional market, the trust level about the price of goods offered by the market, The confidence level of freshness, the reliability of consumers' connection with the local economy, the consumer's traditional marketplace, and the level of awareness of the service (kindness) of the variables on the independent variables. As a result of the analysis, it was found that among the influence variables of customer trust used in this study, consumers had a high level of confidence about the price of commodities offered by the market, quality of goods, and freshness, The same relationship, market environment such as hygiene or cleanliness, connection with a local economy, service (kindness) of traditional market did not affect consumers' trust in traditional markets.

Implementing an Analysis System for Housing Business Based on Seoul Apartment Price Data (주택 사업 분석 시스템 구축 : 서울지역 아파트 가격 데이터를 중심으로)

  • 김태훈;이희석;김재윤;전진오;이은식
    • The Journal of Information Technology and Database
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    • v.6 no.2
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    • pp.115-130
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    • 1999
  • The price structure of housing market varies depending upon market price policy rather than low or high price policy because of IMF. The object of this study is to develop an analysis system for analyzing housing market and its demand. The analysis system consists of four major categories: macro index analysis, market decision analysis, housing market analysis, and consumer analysis. We model each category by using a variety of techniques such as generalized linear model, categorical analysis, bubble analysis, drill-down analysis, price sensitivity meter analysis, optimum price index analysis, profit index measurement analysis, correspondence analysis, conjoint analysis, and multidimensional scaling analysis. Seoul apartment data is analyzed to demonstrate the practical usefulness of the system.

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A Study on Checklists for Technology, Market and Firm Analysis (기술시장분석 체크리스트)

  • 설성수;이기호
    • Journal of Korea Technology Innovation Society
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    • v.5 no.3
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    • pp.277-292
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    • 2002
  • This is a study on checklists for technology and market analysis. We show the general Checklist Pool for technology and market analysis to meet various kinds of the purpose and usage of evaluation. This checklist was extracted from the review of 28 checklists for evaluation of technology, market and firm, and now it is used in the Korea Valuation Association. Also, we checked some important points in the technology and market analysis.

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Competitive intelligence in Korean Ramen Market using Text Mining and Sentiment Analysis

  • Kim, Yoosin;Jeong, Seung Ryul
    • Journal of Internet Computing and Services
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    • v.19 no.1
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    • pp.155-166
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    • 2018
  • These days, online media, such as blogospheres, online communities, and social networking sites, provides the uncountable user-generated content (UGC) to discover market intelligence and business insight with. The business has been interested in consumers, and constantly requires the approach to identify consumers' opinions and competitive advantage in the competing market. Analyzing consumers' opinion about oneself and rivals can help decision makers to gain in-depth and fine-grained understanding on the human and social behavioral dynamics underlying the competition. In order to accomplish the comparison study for rival products and companies, we attempted to do competitive analysis using text mining with online UGC for two popular and competing ramens, a market leader and a market follower, in the Korean instant noodle market. Furthermore, to overcome the lack of the Korean sentiment lexicon, we developed the domain specific sentiment dictionary of Korean texts. We gathered 19,386 pieces of blogs and forum messages, developed the Korean sentiment dictionary, and defined the taxonomy for categorization. In the context of our study, we employed sentiment analysis to present consumers' opinion and statistical analysis to demonstrate the differences between the competitors. Our results show that the sentiment portrayed by the text mining clearly differentiate the two rival noodles and convincingly confirm that one is a market leader and the other is a follower. In this regard, we expect this comparison can help business decision makers to understand rich in-depth competitive intelligence hidden in the social media.

Worldwide Railroad Market Survey and Analysis (철도의 해외시장 개황 조사 및 분석)

  • Min, Jae-Hong;Lee, Soon-Cheol
    • Proceedings of the KSR Conference
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    • pp.360-364
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    • 2003
  • This study discusses the worldwide railroad related market survey and its analysis. World market of railroad is expected to grow by $4\%$ annually in 2006 and 42 billion euros in total. Europe takes $39\%$ of market and Asia/Australia do $30\%$. It is about $50\%$ of market those Alstom, Bombardier, and Simens take. Important current market trends are Globalization, Concentration, Standardization, Innovation and WTO. To encourage making inroads into world market, both railroad related companies and government make great efforts to increase efficiency and reliability

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Market Structure Analysis of Automobile Market in U.S.A (미국자동차시장의 구조분석)

  • Choi, In-Hye;Lee, Seo-Goo;Yi, Seong-Keun
    • Journal of Global Academy of Marketing Science
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    • v.18 no.1
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    • pp.141-156
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    • 2008
  • Market structure analysis is a very useful tool to analyze the competition boundary of the brand or the company. But most of the studies in market structure analysis, the concern lies in nondurable goods such as candies, soft drink and etc. because of the their availability of the data. In the field of durable goods, the limitation of the data availability and the repurchase time period constrain the study. In the analysis of the automobile market, those of views might be more persuasive. The purpose of this study is to analyze the structure of automobile market based on some idea suggested by prior studies. Usually the buyers of the automobile tend to buy upper tier when they buy in the next time. That kind of behavior make it impossible to analyze the structure of automobile market under the level of automobile model. For that reason I tried to analyze the market structure in the brand or company level. In this study, consideration data was used for market structure analysis. The reasons why we used the consideration data are summarized as following. Firstly, as the repurchase time cycle is too long, brand switching data which is used for the market analysis of nondurable good is not avaliable. Secondly, as we mentioned, the buyers of the automobile tend to buy upper tier when they buy in the next time. We used survey data collected in the U.S.A. market in the year of 2005 through questionaire. The sample size was 8,291. The number of brand analyzed in this study was 9 among 37 which was being sold in U.S.A. market. Their market share was around 50%. The brands considered were BMW, Chevrolet, Chrysler, Dodge, Ford, Honda, Mercedes, and Toyota. �� ratio was derived from frequency of the consideration set. Actually the frequency is different from the brand switch concept. In this study to compute the �� ratio, the frequency of the consideration set was used like a frequency of brand switch for convenience. The study can be divided into 2 steps. The first step is to build hypothetical market structures. The second step is to choose the best structure based on the hypothetical market structures, Usually logit analysis is used for the choice best structure. In this study we built 3 hypothetical market structure. They are type-cost, cost-type, and unstructured. We classified the automobile into 5 types, sedan, SUV(Sport Utility Vehicle), Pickup, Mini Van, and Full-size Van. As for purchasing cost, we classified it 2 groups based on the median value. The median value was $28,800. To decide best structure among them, maximum likelihood test was used. Resulting from market structure analysis, we find that the automobile market of USA is hierarchically structured in the form of 'automobile type - purchasing cost'. That is, result showed that automobile buyers considered function or usage first and purchasing cost next. This study has some limitations in the analysis level and variable selection. First, in this study only type of the automobile and purchasing cost were as attributes considered for purchase. Considering other attributes is very needful. Because of the attributes considered, only 3 hypothetical structure could be analyzed. Second, due to the data, brand level analysis was tried. But model level analysis would be better because automobile buyers consider model not brand. To conduct model level study more cases should be obtained. That is for acquiring the better practical meaning, brand level analysis should be conducted when we consider the actual competition which occurred in the real market. Third, the variable selection for building nested logit model was very limited to some avaliable data. In spite of those limitations, the importance of this study lies in the trial of market structure analysis of durable good.

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