• 제목/요약/키워드: the Research Trend

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사업실패에 관한 국내외 연구동향 (Business Failure: Overview and Research Trend)

  • 배태준;최윤형
    • 중소기업연구
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    • 제42권3호
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    • pp.43-75
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    • 2020
  • 본 연구는 중소기업학회에서 편찬한 '중소기업연구'에 게재된 논문을 분석하여 사업실패의 연구동향을 알아보는데 있다. 이를 위하여, 첫째, 문헌고찰을 통해, 해외의 연구동향과 주요 연구 주제를 탐색하고, 본 연구를 위한 분석의 틀을 작성하였다. 둘째, 1979년부터 2019년에 이르기까지, 중소기업연구에 편찬된 총 1,060편의 논문 중, 실패와 관련된 16편을 선정하고 분석하였다. 세 번째, 중소기업연구 이외의 한국의 실패 연구동향을 알아보기 위해, 키워드 분석으로 24편을 추가로 선정하여 분석하였다. 본 논문에서는 실패 연구의 동향을 총 5가지 큰 주제로 구분하여 분석하였다. (1) 실패예측, (2) 실패 전·후 감정, (3) 감정 이외 실패 비용, (4) 실패 원인, (5) 재창업 결정 및 성공요인이다. 기존연구가 가지는 함의를 살펴봄으로써, 향후 실패분야의 연구방향을 제시하고 있다.

Trend analysis of aridity index for southeast of Korea

  • Ghafouri-Azar, Mona;Bae, Deg-Hyo
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2017년도 학술발표회
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    • pp.193-193
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    • 2017
  • Trend analysis can enhance our knowledge of the dominant processes in the area and contribute to the analysis of future climate projections. The results of previous studies in South Korea showed that southeast regions of Korea had the highest value of evapotranspiration. Thereby, it is of interest to determine the trend analysis in hydrological variables in this area. In this study, the recent 35 year trends of precipitation, reference evapotranspiration, and aridity index in monthly and annual time scale will be analyzed over three stations (Pohang, Daegu, and Pusan) of southeast Korea. After removing the significant Lag-1 serial correlation effect by pre-whitening, non-parametric statistical Mann-Kendall test was used to detect the trends. Also, the slope of trend of the Mann-Kendall test was determined by using Theil-Sen's estimator. The results of the trend analysis of reference evapotranspiration on the annual scale showed the increasing trend for the three mentioned stations, with significant increasing trend for Pusan station. The results obtained from this research can guide development if water management practices and cropping systems in the area that rely on this weather stations. The approaches use and the models fitted in this study can serve as a demonstration of how a time series trend can be analyzed.

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패션 일러스트레이션 관련 국내 연구동향 분석 (Analysis of Domestic Research Trends in Fashion Illustration)

  • 김미현
    • 한국의류학회지
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    • 제33권8호
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    • pp.1337-1346
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    • 2009
  • This study examines research trends in the dissertations and theses on fashion illustration, as part of the necessity of the enlargement of this field into different areas and the importance of fashion research that will in the future. Currently, there are efforts to find the state of pervasive trends in thesis or that of dissertations in this area to help deter existing studies from producing mutually supplementary and constructive results. This also includes research that may have been overlapped in part or biased toward particular fields. This study is to solidify the research trend in papers and dissertations on fashion illustration in fields unexamined to suggest some of the right direction for research and development in fashion illustration. The selected data involved papers and dissertations published between 1990 and April 2009 by domestic graduate schools. To understand the research trend by item, descriptive statistics are utilized to acquire statistical data on the frequency and percentage in the creation of graphs. The findings of the study are as follows: There has been a steady increase in the rates of the theses and dissertations in this field in yearly domestic research fashion trends in illustration since 2002. In terms of the annual trend by the type of research, the number of the theses and dissertations on the production of works is larger than that of theoretical ones. This indicates that more attention should be given to theoretical research in this area. In regard to research themes and methods, many theses and dissertations were included with the production of works that showed a need to diversify the scope of research.

우리나라 사이버 패션에 대한 연구-1994년 이후에 나타난 트랜드 중에서- (Study of Cyber Fashion Concept-After 1994 Fashion Trend-)

  • 이은영;이종련;홍윤택
    • 자연과학논문집
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    • 제11권1호
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    • pp.173-193
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    • 1999
  • 94년 이후의 FASHION TREND는 여러요인의 상호작용으로 제안되어졌다. 이 경향은 과학의 발달로 인한 끊임없는 상상력에 기인하다. 그 중에서도 사이버 패션의 경향은 다음과 같은 현대 복식의 착장미를 보여주고 있다. . 파운데이션의 적용 . 구축적 컷팅 . 양면적인 요소들의 상호작용 등이 많이 표현되어 진다.

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로봇교육 관련 국내 연구동향 및 교육효과 분석 (An Analysis of Domestic Research Trend and Educational Effects in Relation to Robot Education)

  • 김철
    • 정보교육학회논문지
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    • 제16권2호
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    • pp.233-243
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    • 2012
  • 본 연구의 목적은 2001년부터 최근까지의 로봇교육과 관련된 국내 연구 동향 및 효과성 논문을 분석함으로써 로봇교육의 방향과 시사점을 제안하는 것이다. 로봇교육과 관련된 연구 동향을 살펴보기 위해 한국연구 재단의 등재지(등재 후보지)의 총 10여종의 전문 학술지에 게재된 112편의 논문을 선정하여 학술지, 연도, 연구형태, 연구주제, 연구대상, 연구방법별로 분석하였다. 연도별 논문 편수를 분석한 결과 2007년을 기점으로 크게 증가하고 있으며 연구 주제로는 프로그래밍 교육, 아동반응연구 순으로 연구 비율이 높은 것으로 나타났다. 연구 방법에서는 실험연구가 가장 많이 수행되었으며 로봇에 대한 교육적 효과에 대한 연구에서 창의성, 문제해결능력, 교과학업성취도 그리고 학습몰입 및 학습태도의 정의적 요인에 효과가 있다고 보고되었다. 이러한 연구 자료를 기초로 로봇교육의 방향 및 시사점을 제안하였다.

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텍스트 마이닝 분석을 통한 수학교육 연구 동향 분석 (A Text Mining Analysis for Research Trend about the Mathematics Education)

  • 진미르;고호경
    • East Asian mathematical journal
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    • 제35권4호
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    • pp.489-508
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    • 2019
  • In this paper we used text mining method to analyze journals of mathematics education posterior to the year of 2016. To figure out trends of mathematics education research. we analyzed the key words largely mentioned in the recent mathematics education journals by Term Frequency and Term Frequency-Inverse Document Frequency method. We also looked at how these keywords match up with the key words that appear of education to prepare for future society. This result can infer the characteristics of mathematics education research in the aspect upcoming research topics.

추세 시계열 자료의 부트스트랩 적용 (Applying Bootstrap to Time Series Data Having Trend)

  • 박진수;김윤배;송기범
    • 한국경영과학회지
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    • 제38권2호
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    • pp.65-73
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    • 2013
  • In the simulation output analysis, bootstrap method is an applicable resampling technique to insufficient data which are not significant statistically. The moving block bootstrap, the stationary bootstrap, and the threshold bootstrap are typical bootstrap methods to be used for autocorrelated time series data. They are nonparametric methods for stationary time series data, which correctly describe the original data. In the simulation output analysis, however, we may not use them because of the non-stationarity in the data set caused by the trend such as increasing or decreasing. In these cases, we can get rid of the trend by differencing the data, which guarantees the stationarity. We can get the bootstrapped data from the differenced stationary data. Taking a reverse transform to the bootstrapped data, finally, we get the pseudo-samples for the original data. In this paper, we introduce the applicability of bootstrap methods to the time series data having trend, and then verify it through the statistical analyses.

An Analysis of the Ecology Fabric Trend : 20 Years (1986-2005) of S/S Woven Fabric Trends

  • Kim, Dong-Woon;Park, Chung-Bee
    • International Journal of Costume and Fashion
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    • 제10권1호
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    • pp.29-45
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    • 2010
  • In order to provide more systematic approach to analyze fabric trends and to develop fabrics accordingly, ecology fabric trend from 1986 to 2005 was analyzed related with fabric trend themes and fabric attributes. The result shows that in the 1980s, natural theme appeared, followed by primitive theme and imitated natural theme until the mid 1990s. From the late 1990s to the early 2000s, new natural theme appeared, followed by eco-friendly theme, and then recycling theme. In the natural theme, 'clean' was the most important fabric attribute and 'textured' and 'worn' were important fabric attributes in the primitive theme. In the imitated natural theme, 'wet' fabric attribute was preferred. In the new natural theme, 'lightweight' were preferred. The results of this study empirically demonstrated that abstract and ambiguous trend terms can be interpreted with a physical, substantial, and feasible attributes that fabric practitioners can easily understand.

복합 추세를 가지는 수리가능 시스템의 고장 데이터 모형화에 관한 연구 (Research for Modeling the Failure Data for a Repairable System with Non-monotonic Trend)

  • 문병민;배석주
    • 한국신뢰성학회지:신뢰성응용연구
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    • 제9권2호
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    • pp.121-130
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    • 2009
  • The power law process model the Rate of occurrence of failures(ROCOF) with monotonic trend during the operating time. However, the power law process is inappropriate when a non-monotonic trend in the failure data is observed. In this paper we deals with the reliability modeling of the failure process of large and complex repairable system whose rate of occurrence of failures shows the non-monotonic trend. We suggest a sectional model and a change-point test based on the Schwarz information criterion(SIC) to describe the non-monotonic trend. Maximum likelihood is also suggested to estimate parameters of sectional model. The suggested methods are applied to field data from an repairable system.

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