• 대한지역사회영양학회지
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• 제10권2호
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• pp.216-223
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• 2005

This purpose of this study was to investigate the nutrient intake, the health status as determined self-assessment checklist, biochemical indicators of elderly Korean women. We interviewed and 55 female subjects living alone in the Urban aged over 65 years. Information on their dietary intake was collected by 24-hour Recall method. Their health status was determined by a NSI checklist. Biochemical indicators were performed in whole blood and plasma of subjects. Except for protein, Fe, all of the elderly subjects belonged to over moderate nutritional risk. The average daily nutrient intake of the elderly was below the level of the recommended dietary allowances (RDA) for Koreans. A relationship between their health risk score and nutrient intake was observed negatively (not significantly). They had a risk of anemia as hemoglobin and hematocrit of subjects were under the normal value. Therefore, the reason that health risk score and health status badly was thought for lower nutrient intake.

• The Journal of Asian Finance, Economics and Business
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• 제8권3호
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• pp.237-249
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• 2021

Indonesia has successfully increased its ranking to 40th place in the 2019 Travel & Tourism Competitiveness Index. While tourism has become the country's second largest foreign exchange contributor, there is no existing competitive advantage model for Indonesian tourist destinations. The purpose and novelty of this study is to develop and formulate a competitive advantage model for Indonesia's tourism industry. The model will be based on the supply-side perception analysis of competitiveness indicators from Bali and five designated super-priority destinations in Indonesia. This model is expected to become a guideline for policymakers to design an effective and focused strategy. Data were obtained from in-depth interviews with, and questionnaires given to, 62 qualified industry players from the public and private sectors. This data-driven approach builds a relationship between competitiveness indicators and competitive advantages using a combination of importance-performance analysis and confirmatory factor analysis, thereby leveraging these advantages to generate a strategic model to compete in the international tourism industry. This would also be the first study to use this method in defining the competitive advantage of a destination. Using structural equation modeling, the study found that there are 54 indicators representing twelve dimensions of competitive advantages with good fit criteria.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2000년도 춘계학술대회 논문집
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• pp.43-50
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• 2000

This paper shows the recent changes of national transportation policies in some developed countries and argues that the evaluation method of the effect of transportation investment on national economy should be improved to reveal real impact of the investment. The evaluation method should develope effective performance indicators of the goals set in national transportation policy. To estimate correctly the magnitude of transportation services in national economy, the evaluation method also provides a way to measure in-house transportation services and to overcome the limits of marginal effect equal equation.

• 한국도서관정보학회지
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• 제39권4호
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• pp.51-69
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• 2008

본 연구에서는 선행 연구에서 제시된 웹정보의 신뢰성 평가 요인과 지표들을 바탕으로 계층적 분석방법(Analytic Hierarchy Process: AHP)을 이용하여 지표들의 가중치를 산출하고 민감도 분석을 통해 웹정보의 신뢰성을 평가하기 위한 모델을 개발하고자 하였다. AHP를 이용한 분석 도구로는 Expert Choice 2000을 사용하였으며, 평가지표의 가중치 산출을 위한 대상자는 비확률 표준추출방법(non-probability sampling) 중 판단표본추출방법(judgement sampling)을 사용하여 25명의 전문가로 구성된 설문대상자를 추출하였다. 한편 민감도 분석은 평가요인들의 가중치를 달리 했을 때 하위지표들의 글로벌 가중치에 대한 민감성을 분석한 것으로, 본 연구에서는 평가 영역의 가중치를 네 가지 경우로만 제한된 변화에 대해서 하위지표들의 글로벌 가중치와 우선순위의 변동을 살펴보았다. 분석결과 1차 지표 간의 상대적 중요도 분석에서는 진실성 요인의 중요도가 0.606으로 압도적으로 높게 나타났으며, 2차 지표에서는 콘덴트의 믿음성(0.857), 유용성(0.460), 시의성(0.417)이, 그리고 3차 지표에서는 '정보의 출처에 관한 정보 제공', '기사의 인용이나 참고문헌 제공', '이용자의 의견이나 리뷰제공' 등의 요인의 가중치가 높은 것으로 나타났다. 한편 영역별 가중치를 달리했을 때 AHP 결과와 민감도 분석의 결과에서 하위지표들의 가중치와 우선순위의 반전이 나타났지만, 안전성 요인의 가중치를 0.5로 상향조정한 민감도 분석 D를 제외하면 대체적으로 AHP 결과에서 글로벌 가중치의 우선순위가 높을수록 민감도 분석에서도 우선순위가 높아지는 경향을 발견할 수 있었다.

• Asian Pacific Journal of Cancer Prevention
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• 제13권8호
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• pp.3967-3971
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• 2012

Aims: To explore the relationship between various molecular makers and liver metastasis of colorectal cancer (CRC). Method: Using immunohistochemistry, protein expression of CEA, nm23, c-met, MMP2, COX-2, VEGF, EGFR, and CD44 was assessed in 80 CRC cases. The Chi-square test and logistic regression were performed to analyze the relationship between these indicators and CRC liver metastasis. Results: There were significant differences in expression of CEA, MMP2, CD44, VEGF and EGFR between the liver metastasis and non metastasis groups (P < 0.05); no significant differences were noted for nm23, c-met, and COX-2 expression. Logistic regression analysis showed that only CEA, VEGF, and EGFR entered into the regression equation, and had significant correlations with CRC liver metastasis (${\alpha}$ inclusion= 0.10, ${\alpha}$ elimination = 0.15, R2 = 0.718). Conclusions: Combination detection of CEA, VEGF, and EGFR may be an effective means to predict CRC liver metastasis. Nm23, c-met, MMP2, COX-2, and CD44, in contrast, are not suitable as prognostic markers.

• 기술혁신학회지
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• 제9권1호
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• pp.26-51
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• 2006

최근 국가 연구개발 활동에 있어서 연구개발 성과의 측정 및 관리가 중요한 이슈가 되고 있다. 특히 기술의 사업화는 연구개발의 결과물을 최종 경제적 성과로 전환하는 것으로서, 연구개발 활동의 경제적 기여를 위해 필수적인 과정이다. 이 논문에서는 국가 R&D 정책에서 중요하게 다루어지고 있는 기술사업화의 현황 및 추세를 파악하기 위하여 국가 기술사업화와 관련된 다양한 정보들을 종합한 국가기술사업화지표를 개발하였다. 개발된 지표는 기술사업화 활동, 협력 및 네트워크, 기술사업화 성과 기술사업화 환경, 심리지수의 다섯 가지 부문으로 구성되어 있고 각 부문의 지수는 각각 다섯 개의 세부 지표로 구성되어 있다. 개발된 지표는 우리나라의 기술시장 및 사업화 정책 수립을 위한 유용한 기초 자료로서 기술사업화 현황 및 수준, 예측 등 다양한 정보를 제공할 것이다.

• The Journal of Asian Finance, Economics and Business
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• 제9권8호
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• pp.89-97
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• 2022

The e-commerce market faces significant credit risks due to the complexity of the industry and information asymmetries. Therefore, credit risk has started to stymie the growth of e-commerce. However, there is no reliable system for evaluating the creditworthiness of e-commerce companies. Therefore, this paper constructs a credit risk evaluation index system that comprehensively considers the online and offline behavior of online retail enterprises, including 15 indicators that reflect online credit risk and 15 indicators that reflect offline credit risk. This paper establishes an integration method based on a fuzzy integral support vector machine, which takes the factor analysis results of the credit risk evaluation index system of online retail enterprises as the input and the credit risk evaluation results of online retail enterprises as the output. The classification results of each sub-classifier and the importance of each sub-classifier decision to the final decision have been taken into account in this method. Select the sample data of 1500 online retail loan customers from a bank to test the model. The empirical results demonstrate that the proposed method outperforms a single SVM and traditional SVMs aggregation technique via majority voting in terms of classification accuracy, which provides a basis for banks to establish a reliable evaluation system.

• Journal of Construction Engineering and Project Management
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• 제2권3호
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• pp.30-39
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• 2012

Design-build (D&B) has been broadly perceived as an effective project delivery method and become popular in the world. However, the implementation process of this innovative procurement method in Vietnam encounters difficulties due mainly to unfamiliarity and inexperience with the approach. Critical success factors (CSFs) which could be used to enhance the project execution are useful to practitioners in Vietnam if identified. A questionnaire survey was employed to identify CSFs of D&B projects in Vietnam. Parties' competence, especially financial capability, and contract documentation are the most important factors significantly affecting project success. It was also shown that the perspectives of two principal parties in D&B projects on the CSFs are statistically correlated. The identified CSFs were then validated with some various D&B projects. The execution results of CSFs' were compared with the projects' performance measured try key performance indicators (KPIs). The most important success factors of this study were also compared with other countries'. The validation and comparison results provide project participants with some useful information to perform D&B projects better. Practitioners should well perform the identified CSFs to enhance the chance of the success of D&B projects in Vietnam. The findings of this study are useful not only to Vietnamese practitioners but also to others who are concerned about D&B method and plan to employ it in Vietnam in future.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권9호
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• pp.2314-2333
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• 2023

It is significant to predict the performance degradation of complex electromechanical systems. Among the existing performance degradation prediction models, belief rule base (BRB) is a model that deal with quantitative data and qualitative information with uncertainty. However, when analyzing dynamic systems where observable indicators change frequently over time and working conditions, the traditional belief rule base (BRB) can not adapt to frequent changes in working conditions, such as the prediction of aeroengine performance degradation considering working condition. For the sake of settling this problem, this paper puts forward a new hidden belief rule base (HBRB) prediction method, in which the performance of aeroengines is regarded as hidden behavior, and operating conditions are used as observable indicators of the HBRB model to describe the hidden behavior to solve the problem of performance degradation prediction under different times and operating conditions. The performance degradation prediction case study of turbofan aeroengine simulation experiments proves the advantages of HBRB model, and the results testify the effectiveness and practicability of this method. Furthermore, it is compared with other advanced forecasting methods. The results testify this model can generate better predictions in aspects of accuracy and interpretability.

• International Journal of Quality Innovation
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• 제4권2호
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• pp.101-122
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• 2003

With the development of the American Customer satisfaction index (ACSI), research on customer satisfaction measurement or evaluation methods have become significant in the last decade. Most of international customer satisfaction barometers or indices are evolved based on the cause and effect relationship model of ACSI. Of critical importance to validity of customer satisfaction indices is how to construct a measurement attribute or indicator model and provide an effective implementation method effectively. Quality Function Deployment (QFD) is a very useful tool for translating the customer voice into product design through quality engineering. In fact, this is a methodology for measuring and analyzing evaluation indicators by their relationship matrix. In this paper, we will make an effort to integrate the framework of QFD into the measurement problem of customer satisfaction, and also develop a new multi-phase QFD model for evaluation of Customer Satisfaction Index (CSI). From the houses of quality in this model, the evaluation indicators impacting on customer's global satisfaction are identified by means of their relationship matrix. Then the evaluation indicator hierarchy and its measurement method for the customer satisfaction index are presented graphically. Furthermore, survey data from the Chinese automobile maintenance sector and a relevant case study are utilized to show the implementation method of the QFD model used to measure and analyze of customer satisfaction.