• 한국IT서비스학회지
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• 제16권1호
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• pp.41-53
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• 2017

Recently, due to the economic recession and increase of ITO (IT Outsourcing), bidding in software industry has been recognized as more competitive and the importance of software bid evaluation for corporate selection is being increased. This study aims to analyze and prioritize influential factors in the software bid evaluation criteria which is adopted as the main evaluation model of national software businesses by Ministry of Science. The priority was developed by AHP (Analytic Hierarchy Process) through pair-wise comparison. For the analysis, this study developed analysis model for AHP and conducted survey of experts who have work experience for more than 10 years in the IT industry. As the result of analysis, weighted factors in the evaluation criteria were deduced and differences of priority factors between purchaser and bidder were investigated. The analysis showed differences of view point in the bidding process. With these results, this study suggests how to write a proposal strategically and effectively in perspective of the purchaser. It is expected that priority factors will be adopted in strategic proposals in both bidder and purchaser. For purchaser, the priority will be adopted to select reliable bidder. So, we expect that the priority factors will be used to get more values for both bidder and purchaser in their business atmosphere.

• 한국도로학회논문집
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• 제15권1호
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• pp.121-126
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• 2013

PURPOSES: Road Design Consistency Evaluation can guarantee road alignments with safety factors, however it can be hard work to deal with general car accident factors in only this evaluation index. Ideal Road Design Consistency Evaluation is show the mutual balance of road alignment and human factors with a variety of factors for road safety. METHODS: This study carried out overall road safety evaluations which are methods of running speeding consistency and car platoon safety analysis (driver's behaviors factors) as well. RESULTS: Out of 13 sections in a experimental road layout, safety factors of 8 sections showed 'Good' or 'Fair' status. However, 'Poor' results were found out in 5 sections. Particularly, it showed the different outcomes among the 4 evaluation methods used in this study. CONCLUSIONS: Road safety countermeasures were proposed for the potentially dangerous sections in road which failed to identify in the other methods. This study will contribute toward future study of more reliable Road Design Consistency Evaluation in the future for road safety.

• 산업경영시스템학회지
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• 제41권1호
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• pp.1-10
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• 2018

Current evaluation practices for IT projects suffer from several problems, which include the difficulty of self-explanation for the evaluation results and the improperly scaled scoring system. This study aims to develop a methodology of opinion mining to extract key factors for the causal relationship analysis and to assess the feasibility of quantifying evaluation scores from text comments using opinion mining based on big data analysis. The research has been performed on the domain of publicly procured IT proposal evaluations, which are managed by the National Procurement Service. Around 10,000 sets of comments and evaluation scores have been gathered, most of which are in the form of digital data but some in paper documents. Thus, more refined form of text has been prepared using various tools. From them, keywords for factors and polarity indicators have been extracted, and experts on this domain have selected some of them as the key factors and indicators. Also, those keywords have been grouped into into dimensions. Causal relationship between keyword or dimension factors and evaluation scores were analyzed based on the two research models-a keyword-based model and a dimension-based model, using the correlation analysis and the regression analysis. The results show that keyword factors such as planning, strategy, technology and PM mostly affects the evaluation result and that the keywords are more appropriate forms of factors for causal relationship analysis than the dimensions. Also, it can be asserted from the analysis that evaluation scores can be composed or calculated from the unstructured text comments using opinion mining, when a comprehensive dictionary of polarity for Korean language can be provided. This study may contribute to the area of big data-based evaluation methodology and opinion mining for IT proposal evaluation, leading to a more reliable and effective IT proposal evaluation method.

• Nuclear Engineering and Technology
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• 제46권1호
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• pp.81-92
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• 2014

This study suggests 5 evaluation criteria (safety and technology, environmental impact, economic feasibility, social factors, and institutional factors) and 24 evaluation indicators for a NFC (nuclear fuel cycle) derived using factor analysis. To do so, a survey using 1 on 1 interview was given to nuclear energy experts and local residents who live near nuclear power plants. In addition, by conducting a factor analysis, homogeneous evaluation indicators were grouped with the same evaluation criteria, and unnecessary evaluation criteria and evaluation indicators were dropped out. As a result of analyzing the weight of evaluation criteria with the sample of nuclear power experts and the general public, both sides recognized safety as the most important evaluation criterion, and the social factors such as public acceptance appeared to be ranked as more important evaluation criteria by the nuclear energy experts than the general public.

• Asia pacific journal of information systems
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• 제11권3호
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• pp.43-62
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• 2001

The purpose of this research is to develop a webcasting site evaluation model, to estimate the relative importance of factors affecting the performance of webcasting sites, and to derive the CSFs of the sites. Evaluation model consists of 6 first-level evaluation factors and 23 second-level evaluation factors. This study compares the evaluation scores of website with those of the customer satisfaction. We inspect seven hypotheses. Hypothesis)(H1) tests correlation of the evaluation scores of website and those of the customer satisfaction. Hypothesis2(H2)$\sim$Hypothesis7(H7) tests if 6 first-level factors(planning, program & form, design, technology, interface, content) have an impact on customer satisfaction. In order to test the hypotheses, correlation analysis and regression analysis are performed. As a result of empirical tests, all Hypotheses$(H1){\sim}H7)$ are accepted and its implications are discussed.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2010년도 춘계 학술발표회
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• pp.1342-1348
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• 2010

Currently available evaluation checklists are developed for specific purposed using different parameters and items determined by different weighting factors. Those items with different weighting are sometimes said that they are based on the engineering judgement and leap of faith and, therefore, there is a limitation to adapt those checklists for slope-stability evaluation in the field. This study reviews factors affecting slope stability, analyze the relationship between those factors and slope failures using artificial neural network, and proposed a slope-stability evaluation model for adequate weighting for the factors.

• 한국지역사회생활과학회지
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• 제25권3호
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• pp.373-382
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• 2014

This study was explored the relationship of fit-related factors and, clothing evaluation criteria to clothing satisfaction. A total of 247 completed responses were obtained from a convenient sample of female students in their twenties. The statistical analysis methods included factor analysis, an ANOVA, and a multiple regression analysis. First, clothing evaluation criteria included practicality, product trait, and symbolism. Second, a comparison of clothing evaluation criteria and clothing satisfaction in groups divided by fit-related factors showed significant differences. In particular, the fat body type group showed higher level of the product trait and the thin body type group showed lower level of clothing satisfaction. The high activity group showed higher levels of clothing evaluation criteria and lower level of clothing satisfaction. Third, body type perception (-) and activity importance (-), fit-related factors, and practicality (+), clothing evaluation criterion had significant effects on clothing satisfaction. Therefore, These results suggest that fashion firms should make efficient use of fit-related factors and clothing evaluation criteria to enhance consumers' clothing satisfaction and to stimulate their purchase intention toward fashion goods.

• 유통과학연구
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• 제17권12호
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• pp.55-62
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• 2019

Purpose: The number intelligent homecare products are focused on the development of technology, resulting in a lack of realistic environments or requirements for consumers. The purpose of this paper is to define the consumer and context for intelligent homecare products and to develop a usability evaluation scale. Research design, data and methodology: For this study, first, consumer and contexts related to intelligent homecare products were analyzed through literature review. Second, the primary usability evaluation factors were derived for intelligent homecare products by collecting the factors related to usability evaluation and conducting in-depth interviews with experts. Third, the second usability evaluation factors were derived through survey and statistical analysis based on the derived usability evaluation factors. Results: As a result, users of intelligent homecare products were classified as primary users and secondary consumers and six related contexts. The usability evaluation scale was established with four factors - Functionality, Error, Convenience, and Emotion - and 13 items. Conclusions: This study can be the basis for developing and distributing products that meet the consumer environment and requirements related to intelligent homecare products that will contribute to securing the competitiveness of companies and developing the technology and service value of related industries.

• 대한안전경영과학회지
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• 제16권4호
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• pp.71-80
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• 2014

This study is performed to determine the priorites of the evaluation factors for the improvement of fire emergency medical service by increasing it's efficiency to protect the people's lives effectively, and by recognizing it's mid-long term development. Based on the output of the analysis, the critical evaluation factors of the fire emergency medical services to be improved shall be identified, and shall be intended to use strategically for increasing the efficiency of all the activity in the EMT service, and also for providing the basic date to product and manage the good quality services. To calculate the priority of the evaluation factor for each level as shown on this study, AHP(anaysis hierarchy process) with pairwise comparison method is applied. According to the priority analysis for the evaluation factors in main category (evaluation zone), 'medical service professional aspect' is recognized as highest one, and 'service infrastructure aspect', 'service management aspect' are indicated in order. According to the priority analysis for the evaluation factors in evaluation index, 'professional personal arrangement' in the service infrastructure aspect, 'appropriateness and timeliness of emergency medical care' in the medical service professional aspect, and 'clinical training' in the service management aspect are respectively recognized as most important factors.

• 지식경영연구
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• 제7권2호
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• pp.69-96
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• 2006

The purpose of this study is to find success factors of knowledge management in Korean firms, confirm them empirically, and verify their relative importance in terms of company size and industry type. The major studies on the knowledge management were deliberately selected and interpretively analyzed to find the success factors of Korean firms. As a result of the analysis, five success factors(top management's will, evaluation reward, organizational culture, knowledge management system, organizational structure) have been found. The empirical researches to make certain whether the above five factors derived are actually true or not have been separately performed by using questionnaire method. Based on the data collected, it is found that all five factors are significant. The degree of relative importance among the success factors of knowledge management in Korean firms has been found as: (i)top management's will, (ii)organizational culture, (iii)evaluation-reward, (iv)knowledge management system, (v)organizational structure. In company size, large firm's degree of relative importance among the success factors are: (i)top management's will, (ii)organizational culture, (iii)evaluation-reward, (iv)knowledge management system, (v) organizational structure. And medium-small firm's degree of relative importance among the success factors of knowledge management in Korean firms has been found as: (i)top management's will, (ii)organizational culture, (iii) evaluation-reward, (iv)knowledge management system, (v)organizational structure. Finally, in type of industry, manufactural firm's degree of relative importance among the success factors of knowledge management in Korean firms has been found as: (i)top management's will, (ii)organizational culture, (iii)evaluation-reward, (iv)knowledge management system, (v)organizational structure. And non-manufactural firm's degree of relative importance among the success factors of knowledge management in Korean firms are: (i)top management's will, (ii)organizational culture, (iii)evaluation-reward, (iv)knowledge management system, (v)organizational structure.