• 유통과학연구
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• 제17권11호
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• pp.73-79
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• 2019

Purpose: The purpose of this study was evaluated to compare the predictive power of distress prediction models by using discriminant analysis method and logit analysis method for food service franchise industry in Korea. Research design, data and methodology: Forty-six food service franchise industry with high sales volume in the 2017 were selected as the sample food service franchise industry for analysis. The fourteen financial ratios for analysis were calculated from the data in the 2017 statement of financial position and income statement of forty-six food service franchise industry in Korea. The fourteen financial ratios were used as sample data and analyzed by t-test. As a result seven statistically significant independent variables were chosen. The analysis method of the distress prediction model was performed by logit analysis and multiple discriminant analysis. Results: The difference between the average value of fourteen financial ratios of forty-six food service franchise industry was tested through t-test in order to extract variables that are classified as top-leveled and failure food service franchise industry among the financial ratios. As a result of the univariate test appears that the variables which differentiate the top-leveled food service franchise industry to failure food service industry are income to stockholders' equity, operating income to sales, current ratio, net income to assets, cash flows from operating activities, growth rate of operating income, and total assets turnover. The statistical significances of the seven financial ratio independent variables were also confirmed by logit analysis and discriminant analysis. Conclusions: The analysis results of the prediction accuracy of each distress prediction model in this study showed that the forecast accuracy of the prediction model by the discriminant analysis method was 84.8% and 89.1% by the logit analysis method, indicating that the logit analysis method has higher distress predictability than the discriminant analysis method. Comparing the previous distress prediction capability, which ranges from 75% to 85% by discriminant analysis and logit analysis, this study's prediction capacity, which is 84.8% in the discriminant analysis, and 89.1% in logit analysis, is found to belong to the range of previous study's prediction capacity range and is considered high number.

• 펄프종이기술
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• 제31권4호
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• pp.30-40
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• 1999

The possibility of the characterization of sheet formation by image analysis with transmitted light was evaluated. Specific perimenter, average perimeter and variation could not be used to predict the sheet formation because there were no corrleation. Although image analysis method still have a lot of problems , it was found that the contrast intensity obtained by image analysis with transmitted light can be used to predict the sheet formation. In the case of highly filled sheet, the intensity of transmitted light was too low to characterize the sheet formation . However, it was possible to characterize the formation of unfilled heavy weight paper($\leq$200g/㎡).

• 한국콘텐츠학회논문지
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• 제8권8호
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• pp.188-195
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• 2008

본 연구는 지역전략산업진흥사업의 효과를 통하여 향후 분권적 상향적 지역산업정책이 다양한 형태로 발전하여 지역의 자생적 능력을 향상시키고 지역의 혁신능력을 배양하여 지역산업을 진흥시키고 지역경제를 활성화 한다는 측면에서 접근하였다. 지역산업의 진흥은 현 정부의 광역경제권 구축정책의 기본전제로 광역을 이루는 한 축의 발전이 타 지역에 비하여 낙후된다면 광역이라는 경제권구상에 있어 실패 또는 갈등요인으로 작용할 수 있을 것이다. 분석결과, 충북지역의 전략산업은 타 지역과 비교하여 상대적으로 빠른 발전을 하였고 지역의 전략산업발전 정책이 효과를 극대화하기 위해서는 R&D체계의 효과적인 개선이 필요함을 도출하였다.

• 융합경영연구
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• 제10권6호
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• pp.1-7
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• 2022

Purpose: The purpose of this study is identifying the research trends of degree papers related to the beauty industry and providing information which can contribute to the development of the domestic beauty industry and the direction of various research about beauty industry. Research design, data and methodology: This study used 154 academic papers and 189 academic papers with English abstracts out of 299 academic papers. All of these papers were found by searching for the keyword "beauty industry" in ScienceON on August 15, 2022. For the analysis, BERTopic and LDA (Latent Dirichlet Allocation) analysis were conducted using Python 3.7. Also, OLS regression analysis was conducted to understand the annual increase and decrease trend of each topic derived with trend analysis. Results: As a result of word frequency analysis, the frequency of satisfaction, management, behavior, and service was found to be high. In addition, it was found that 'service', 'satisfaction' and 'customer' were frequently associated with program and relationship in the word co-occurrence frequency analysis. As a result of topic modeling, six topics were derived: 'Beauty shop', 'Health education', 'Cosmetics', 'Customer satisfaction', 'Beauty education', and 'Beauty business'. The trend analysis result of each topic confirmed that 'Beauty education' and 'Health education' are getting more attention as time goes by. Conclusions: The future studies must resolve the extreme polarization between the structure of the small beauty industry and beauty stores. Furthermore, the researches have to direct various ways to create the performance of internal personnel. The ways to maximize product capabilities such as competitive cosmetics and brands are also needed attentions.

• 한국콘텐츠학회논문지
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• 제11권12호
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• pp.884-892
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• 2011

관광산업의 산업연관분석은 최근의 서비스산업에 대한 정책적 관심이 증가하고 있는 상황에서 경제적 효과를 측정하는 수단으로 유용성이 높다. 2007년과 2008년 산업연관표를 통하여 생산유발계수, 부가가치 유발계수, 수입유발계수, 영향력계수와 감응도계수를 도출하였다. 분석결과, 산업연관분석의 주요지표들은 최승이[6]의 연구와 비교하여 커다란 차이가 나타나지 않았다. 본 연구에서 관광산업의 범위를 축소한 상황에서도 비슷한 결과를 보인 것은 과거에 비해 관광산업의 영향력이 커진 것으로 추측된다. 향후 연구에서는 관광산업의 분류에 대한 합의가 필요하며, 각종 계수를 전체적으로 도출하는 것 뿐만 아니라 세부적인 관광산업에 대해서도 분석이 진행되어야 한다.

• Journal of Korea Trade
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• 제25권6호
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• pp.34-56
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• 2021

Purpose - This study presents strategies to overcome the COVID-19-induced crisis in Korea's meetings, incentives, conferences, and exhibitions (MICE) industry. It aims to quantitatively identify the environmental factors affecting the industry and their degree of influence, and derive optimal countermeasures. Design/methodology - The study applied the SWOT-AHP-TOWS framework. An AHP analysis was first performed within the SWOT frame, and then a TOWS analysis was conducted using the results of the SWOT-AHP analysis. In the AHP analysis, the number of pairwise comparison questions was limited to four for each SWOT factor to increase the consistency of responses by reducing the burden on respondents. Findings - The plunge in demand (threats factor) has had an overwhelming impact on the MICE industry, more than any other environmental factor. To overcome the crisis, the ST alternative that takes advantage of dynamic pop culture to minimize the business damage caused by the plunge in demand was the top priority measure. Based on the results, this study presents suggestions for overcoming the crisis in the MICE industry. First, the industry should develop profitable business models to supplement scarce financial resources by exploiting Korea's success with quarantine management. Second, the government must provide emergency relief funds or bailout support to protect MICE facilities and employees. Originality/value - Unlike previous work on the MICE industry, this study utilized the SWOT-AHPTOWS framework to derive quick research results in an abnormal situation. This approach can be expanded to other countries with different industrial environments and situations. Additionally, when applying this method to MICE sub-sectors, countermeasures should be tailored to each field.

• 산경연구논집
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• 제15권3호
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• pp.31-46
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• 2024

Purpose: Employees in the beauty industry, where emotional labor is essential, are exhausted due to stress from excessive working hours and low pay, and ultimately consider changing jobs. This study analyzed the structural relationship of turnover intention according to job stress of beauty industry employees. We tried to present implications by verifying the methods necessary for conflict management in the beauty industry from an empirical point of view. Research design, data and methodology: This study selected 518 workers in the beauty industry as a sample. Frequency analysis, validity and reliability analysis, factor analysis, correlation analysis, and regression analysis were performed using SPSS (Statistical Package for Social Science) WIN23.0. Results: The moderating effect of work experience, a moderating variable, was found to be significant in the effect of job stress of beauty industry employees following changes in the employment environment on the dependent variable, turnover intention. Conclusion: This study revealed that changes in the employment environment negatively affect the job stress of beauty workers. To reduce the job stress of employees in the beauty industry, a systematic response at the organizational level will be necessary. In addition, it is expected that it will help establish differentiated strategies such as compensation system, service training, and service management to reduce job stress.

• 한국산학기술학회논문지
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• 제19권10호
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• pp.101-107
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• 2018

최근 우리나라의 방위산업은 고도의 발전을 해왔고 국방비 중에서 국방 R&D 예산도 점차적으로 증가하고 있다. 하지만 방위산업기술에 대한 객관적인 분석 없이는 효과적인 국방 R&D 활동이 제한적이고 자칫 국방예산이 비효율적으로 사용될 수 있다. 따라서 본 논문은 현재 주로 실시하고 있는 전문가들의 의견을 반영한 정성적인 방위산업기술의 분석에 더해서 정량적인 방법으로 방위산업기술을 객관적으로 분석함으로써 국방예산의 효율적 사용과 더 나아가서는 세계시장에서의 경쟁 우위를 달성하고자 하였다. 더구나 4차 산업혁명의 키워드 중의 하나인 빅데이터 분석 방법을 국방산업기술에 적용해서 객관적이고 체계적으로 국방산업기술의 특성과 공백기술을 파악하기 위한 특허분석 방법을 제안한다. 제안된 방법은 여러 국방산업기술 중에서 화력분야의 기술에 적용하여 사례분석을 수행하였다. 그 과정은 우선 방위산업진흥원의 방위 산업기업의 분류에서 화력에 관련된 10개 국내 기업의 특허를 Kipris를 통해서 수집하고 이 중에서 IPC 코드를 활용하기 위해서 이를 전처리하여 데이터 매트릭스를 구축하였다. 그리고 R 프로그램을 활용하여 데이터마이닝 기법 중에서 각 항목 간 연관성을 파악할 수 있는 연관규칙마이닝을 수행하였다. 이를 통해서 화력분야의 각 기술에 대한 지지도, 신뢰도, 향상도 값을 도출하고 이를 해석하여 결론을 제시하였다. 따라서 본 논문은 막대한 국방예산의 효율적인 사용과 국방산업기술의 경쟁력 제고에 도움을 줄 수 있을 것이라고 판단된다.

• 한국콘텐츠학회논문지
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• 제2권1호
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• pp.52-58
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• 2002

정부의 부품ㆍ소재 산업 육성 방침에 따라 중소기업의 비중이 높은 부품ㆍ소재 산업의 정보화 지원 사업에 대한 타당성을 비용편익분석으로 검토하였다. 비용편익분석에서 비용부문은 한국과학기술정보연구원의 사업내용과 예산을 인용하여 현가 계산하였고 편익부문은 각 산업별 생산액을 예측하고, 생산액 대비 정보화 투자비율을 이용하여 각 산업별 정보화 비용을 산출하여 현가 계산하였다. 비용편익 비율은 4.67로 계산되어 사업타당성이 있는 것으로 검토되었다.

• 무역학회지
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• 제44권2호
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• pp.173-188
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• 2019

The purpose of this study is to investigate the causal relationship between the logistics industry and the economic growth in Korea, and to provide implications for the contribution of the logistics industry to economic growth. Unlike Previous Related Studies, we derive short-term and long-term effects through dynamic panel analysis such as panel Granger causality test and impulse response function estimation using panel vector error correction model. The results of the empirical analysis are as follows: Labor input of the logistics industry has the greatest positive impact on economic growth. And capital input and total sales of the logistics industry have a negative effect on economic growth. This means that Korea's logistics industry features labor-intensive growth. In addition, We have also found that the growth (sales) and capital input of the logistics industry have not yet had a direct positive impact on economic growth. Therefore, the results of this analysis provide implications for the direction of logistics industry policy to enhance contribution of the logistics industry to economic growth.