• Title/Summary/Keyword: 트랜드분석

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The effect of convergence research (government support, entrepreneurship, trend) of start-ups (startup companies) on business performance. (스타트업(창업기업)의 융복합적 연구(정부지원,기업가정신,트랜드)가 경영성과에 미치는 영향.)

  • Joo, Bok-Kee;Hyun, Byung-Hwan
    • Journal of Digital Convergence
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    • v.20 no.3
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    • pp.275-281
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    • 2022
  • This paper intends to provide a more effective understanding of the management performance (survival and growth) of startups and to suggest methods that can be applied to empirical research related to startups in the future. Therefore, in this study, the effect of entrepreneurship, trend analysis, and government support on business performance (non-financial and financial) is studied. A total of 220 questionnaires were received, and 215 were adopted except for 5 insincere questionnaires. Therefore, it was evaluated based on statistical data of 215 companies surveyed by startup officials. The questionnaire was analyzed using the SPSS 28.0 statistical program. The results of the study confirmed that all three items of the hypothesis, government support, entrepreneurship, and trend analysis of start-ups all play a positive role regardless of the difference in financial and non-financial management performance.

트랜드분석 / 러브바이러스와 그 변종의 피해와 치료

  • Korea Database Promotion Center
    • Digital Contents
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    • no.6 s.85
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    • pp.86-91
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    • 2000
  • 하루 아침에 웬 날벼락인가? 바로 바이러스에 당했을때 하는 말이다. 그것도 사랑스러운 벌레 (Love Worm)에 물렸을때.. 5월 4일 아침에 편지함을 열어 보았더니 제목이 "ILOVEYOU" 혹은 'FW:Joke'이고 그 첨부 파일의 확장자가 VBS나 JPG, 혹은 TXT인 메일이 있었지만 첨부파일을 클릭할 시간이 없어서 그냥 둔 행운의 사용자가 분명히 있었을 것이다. 하지만 아직도 그 메일이 편지함에 남아 있다면 가차없이 휴지통으로 보내길 바란다.

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Analysis of trend in construction using textmining method (텍스트마이닝을 활용한 건설분야 트랜드 분석)

  • Jeong, Cheol-Woo;Kim, Jae-Jun
    • Journal of The Korean Digital Architecture Interior Association
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    • v.12 no.2
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    • pp.53-60
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    • 2012
  • In this paper, we present new methods for identifying keywords for foresight topics that utilize the internet and textmining techniques to draw objective and quantified information that support experts' qualitative opinions and evaluations in foresight. Furthermore, by applying this fabricated procedure, we have derived keywords to analyze priorities in architectural engineering. Not much difference between qualitative methods of experts and quantitative methods such as text mining has been observed from comparison between technologies derived via qualitative method from "The Science Technology Vision" (control group). Therefore, as a quantitative tool useful for drawing keywords for foresight, textmining can supplement quantitative analysis by experts. In addition, depending on the level and type of raw data, text mining can bring better results in deriving foresight keywords. For this reason, research activities accommodating Internet search results and the development of textmining methods for analyzing current trends are in demand.

Development of a web-based market research tool utilizing street-trend image database system. (트렌드 이미지 데이터베이스를 활용한 상황인식 지원도구 개발에 관한 연구)

  • 이종호;홍석기
    • Proceedings of the Korea Society of Design Studies Conference
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    • 2000.11a
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    • pp.120-121
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    • 2000
  • 신상품 개발을 위한 트랜드 이미지의 수집과 분석(타운워칭, 캐털로그 분석 등)은 이미 디자인 전개과정에 깊숙히 자리잡고 있는 기법이다. 그러나 대부분의 경우 트랜드 이미지의 수집은 디자이너의 직관에 의존하는 경우가 많았기 때문에 실질적인 시장상황을 반영한다고 하기에는 다소 힘들었던 것이 사실이다. (중략)

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A study on trend tracking system interface for industrial design base on town watching (타운워칭(Town-watching)에 의한 트랜드 트래킹 시스템과 활용에 관한연구)

  • 한석우;김정진
    • Proceedings of the Korea Society of Design Studies Conference
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    • 2000.11a
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    • pp.118-119
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    • 2000
  • 트랜드는 개별적, 일시적 유행과는 다른 것이며 보다 광의적이고 포괄적이며 커다란 생명력을 가진 것이다. 눈에 보이는 현상보다는 민족성이나 인간의 본성과 같은 표현하기 힘들거나, 인식하기 힘든 요인으로 말미암아 기존의 여론조사나 소비자 성향을 분석하는 트랜드 트레킹 방법에는 한계가 있다고 할 수 있다. (중략)

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트랜드분석 / "질적 성장 없이는 '부익부 빈익빈' 현상 극대화 자명하다'

  • Korea Database Promotion Center
    • Digital Contents
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    • no.12 s.103
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    • pp.64-65
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    • 2001
  • 지난 4월말 통계청이 발표한 전자상거래 통계조사 결과에 따르면 올해 1~2월말 현재 국내 인터넷 소매 시장 규모는 약 3,490억원에 달한 것으로 나타났다. 통계조사가 지난해 4월부터 시작되 전년 동기대비 다소 어려우나 지난4~5월 시장규모와 단순 비교해 보면 약 48%정도 증가한 수치다. 1~2월의 쇼핑몰 매출이 일반적으로 다른 시기에 비해 낮은 점을 감안하면 실제 성장률은 보다 높을 것으로 추정되고 있다.

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Consumer Trend Platform Development for Combination Analysis of Structured and Unstructured Big Data (정형 비정형 빅데이터의 융합분석을 위한 소비 트랜드 플랫폼 개발)

  • Kim, Sunghyun;Chang, Sokho;Lee, Sangwon
    • Journal of Digital Convergence
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    • v.15 no.6
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    • pp.133-143
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    • 2017
  • Data is the most important asset in the financial sector. On average, 71 percent of financial institutions generate competitive advantage over data analysis. In particular, in the card industry, the card transaction data is widely used in the development of merchant information, economic fluctuations, and information services by analyzing patterns of consumer behavior and preference trends of all customers. However, creation of new value through fusion of data is insufficient. This study introduces the analysis and forecasting of consumption trends of credit card companies which convergently analyzed the social data and the sales data of the company's own. BC Card developed an algorithm for linking card and social data with trend profiling, and developed a visualization system for analysis contents. In order to verify the performance, BC card analyzed the trends related to 'Six Pocket' and conducted th pilot marketing campaign. As a result, they increased marketing multiplier by 40~100%. This study has implications for creating a methodology and case for analyzing the convergence of structured and unstructured data analysis that have been done separately in the past. This will provide useful implications for future trends not only in card industry but also in other industries.

A trend analysis of the Knowledge Management Research using graph theory and network model (그래프 이론 및 네트워크 모델을 이용한 지식경영연구 논문 트랜드 분석)

  • Lee, Dong Hyun;Lee, Ho;Kim, Jungmin
    • Knowledge Management Research
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    • v.17 no.1
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    • pp.1-16
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    • 2016
  • The purpose of this study is to analyze 352 scholarly journals and 1496 keywords in Knowledge Management Research from 2000 to 2015 and provide systematical view point of research trend in the area of knowledge management using graph theory and network model. The relational patterns among keywords as well as keywords which recently received noticeable attention and keywords which receded from the spotlight in recent years in the knowledge management literature were identified. The result of this study can be used as a foundation of future research ideas in knowledge management.