• Journal of Korea Technology Innovation Society
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• v.9 no.4
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• pp.812-841
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• 2006

Previous studies have shown that the ex-ante financial ratios, mainly used by financial institutions for loan evaluation purpose, are related to the ex-post finn's performance of venture firm's. The main objective of this study is to examine whether non-financial variables such as 'technology', 'marketability', and 'other business indexes' have extra explanatory power in forecasting the ex-post firm's performance of small and medium size venture firm's in Korea. The implications and results of this study are expected to be useful in loan evaluation, investment decision and internal management decisions of venture firms. Among small and medium sized manufacturing firms funded in the year of 1999 through 2005, 416 firms are selected for our analysis. The relationship between evaluation indexes and firm's success/failure is investigated using binary logistic regression analysis and factor analysis with an aid of SPSS program. The summarized results are as follows. First, current evaluation model, used for loan evaluation purpose for small and medium size manufacturing firms show the same discriminatory power as previous prediction model. Second, among the tested additional variables, significant indices are 'technological capability of CEO', 'managerial capability of CEO', and 'business feasibility'. Third, while previous studies on evaluation structure had 3 factors, this study showed that valuation's structure has 6 factors.

• Journal of the Korean association of regional geographers
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• v.16 no.5
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• pp.559-571
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• 2010

This paper aims at, firstly, analyzing the preference of rental apartment owned by real estate companies, and the characteristics of housing location factors which Korean university students prefer, secondly, examining the effect of location factors to housing preferences. Especially, comparative analysis between this study and US students' precedent case study are used, in order to derive the implications about the housing policy. The main results of this study are as follows. Firstly, according to the questionnaire survey results, a great part of Korea and US university students prefer rental apartments owned by real estate companies as next housing after graduation. And a meaningful part of them prefer rental apartments owned by real estate companies as permanent housings. Secondly, according to factor analysis, five new factors such as (1) housing condition, (2) facilities and management, (3) neighborhood, (4) reputation and policy, (5) accessibility are extracted. Finally, according to logistic regression analysis, "facilities and management" and "reputation and policy" factors influence the preference of rental apartment. Therefore, provisions of "facilities and management" and "reputation and policy" factor are important to activate rental apartments owned by real estate companies for young generation.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.373-380
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• 2013

Recently, AR(Augmented Reality) system as an information technology for the increased access of information has a potential possibility of next generation's system for tourism guide. In this regard, the objective of this study is to explore the technology acceptance factors of AR system on tourism destination. To achieve the objective of this study, logit regression model was used to analyze the influential level of the factors. This study was analyzed with the final 224 respondents and the results showed that if there will be assured with high trust and easy access via mobility device as smartphone, the AR system has the possibility of high acceptance level. The result of this study will be expected to be utilized as fundamental data from the viewpoint of the service providers and system developers that want to launch the appropriate service to users' needs of AR system.

• Journal of the Economic Geographical Society of Korea
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• v.20 no.2
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• pp.173-188
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• 2017

This paper aims to analyze the effects of the residential area and personal characteristics of households on the preference of residential location factors. The main results of this study are as follows. Firstly, considering the results of multiple regression analysis, it can be seen that preference of location factors is differentiated according to the residential area and personal characteristics of households by individual location factors. Secondly, considering the results of binomial logistic regression analysis, it can be also elucidated that the preferred location factors are differentiated according to the residential area and personal characteristics of the households. Therefore, it is judged that the residential area and personal characteristics of household and the location factors of the household are mutually influencing each other.

• Journal of Information Management
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• v.42 no.1
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• pp.199-219
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• 2011

Currently, managers and researchers have come to recognize the importance of knowledge as an asset to the organization. Knowledge Management System (KMS) is developed as a tool to manage the organizational knowledge. A significant literature about Knowledge Management in the private, but not public sector. The purpose of the study is to analyze the influencing factors for KMS utilization in a public sector, Jeju Provincial Government Organization. This study performed an empirical research on factors that affect the use of KMS using Knowledge Management system capability and individual & organizational capability criteria. Survey was conducted with 150 employees from Jeju Provincial Government Organization. The Results show that an ability to create knowledge, and knowledge infrastructure are significant factors in determining the level of usage of Knowledge Management system. In particular, the most important factor that influences the usage of Knowledge Management is knowledge creation. and then knowledge infrastructure. The result also shows that the usage of KMS is affected by management's support willingness.

• Communications for Statistical Applications and Methods
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• v.18 no.6
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• pp.859-869
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• 2011

Interest has increased in academic research regarding key factors that drive box-office success as well as the ability to predict the box-office success of a movie from a commercial perspective. This study analyzed the relationship between key success factors of a movie and box office records based on movies released in 2010 in Korea. At the pre-production investment decision-making stage, the movie genre, motion picture rating, director power, and actor power were statistically significant. At the stage of distribution decision-making process after movie production, among other factors, the influence of star actors, number of screens, power of distributors, and social media turned out to be statistically significant. We verified movie success factors through the application of a Multinomial Logit Model that used the concept of choice probabilities. The Multinomial Logit Model resulted in a higher level of accuracy in predicting box-office success compared to the Artificial Neural Network and Discriminant Analysis.

• Journal of Digital Convergence
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• v.11 no.10
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• pp.17-29
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• 2013

The major aim of this research is to examine the effect of computer and internet literacy and cellular phone possession on depression and suicidal ideation among elderly. This study used data of 2011 national survey results on the elderly life conditions. To determine the effectiveness of computer and internet literacy and cellular phone possession, a total of 6,774 respondents over 60 years of age was selected. The SPSS package was used to analyze the data. Multiple linear regression and logit analysis was run to verify influence of information conditions(computer and internet literacy and cellular phone possession) on depression and suicidal ideation. The results are as follows. First, the elder who is male, younger, has higher education and economic level and lives with spouce is in good information conditions. On the contrary to this, the elder who is female, older, low level of education and economic, single and lives with grandchildren is in information minority group. They have high level of depression and rate of suicidal ideation. Second, computer and internet literacy and cellular phone possession associate with level of depression significantly. Third, computer and internet literacy do not associate with suicidal ideation significantly. The results of this study provide significant source to plan informatization policy and welfare services for socially isolated older people.

• Korean Journal of Family Social Work
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• no.43
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• pp.37-59
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• 2014

The purpose of this study is to analyze and find the relative importance of the factors impacting on the intent to leave among the female care worker's the labor properties, Total 540 questionnaire were distributed and collected from 387 female care workers working at the area of Daegu and GyeongBuk. The logistic regression analysis was used to analyze the relative importance among the factors. The results of the study are the followings: Academic ability, lower subjective-evaluation of remuneration, non-business contracts, labor intensity, the relationship between the user, the relationship between the agency providing are factors influencing on the turnover intention. In other words, higher education, lower subjective-evaluation of remuneration, more work than the contract, higher labor intensity, the female care workers have higher probability of turnover intention. Based on the results of the study, this paper suggests some implications as policy and practice.

• The Korean Journal of Applied Statistics
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• v.31 no.3
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• pp.367-382
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• 2018

Prediction models for a corporate bond rating in existing studies have been developed using various models such as linear regression, ordered logit, and random forest. Financial characteristics help build prediction models that are expected to be contained in the assigning model of the bond rating agencies. However, the ranges of bond ratings in existing studies vary from 5 to 20 and the prediction models were developed with samples in which the target companies and the observation periods are different. Thus, a simple comparison of the prediction accuracies in each study cannot determine the best prediction model. In order to conduct a fair comparison, this study has collected corporate bond ratings and financial characteristics from 2013 to 2017 and applied prediction models to them. In addition, we applied the elastic-net penalty for the linear regression, the ordered logit, and the ordered probit. Our comparison shows that data-driven variable selection using the elastic-net improves prediction accuracy in each corresponding model, and that the random forest is the most appropriate model in terms of prediction accuracy, which obtains 69.6% accuracy of the exact rating prediction on average from the 5-fold cross validation.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 1997.11a
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• pp.331-336
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• 1997

본 연구에서 산업재해 사례를 연구 대상으로 재해 발생의 여러 가지 요인들의 관련을 검토하고자 통계적 기법을 이용한 재해요인별 상관분석, 또는 영향의 정도 파악, 재해 요인의 통제에 따른 기타 재해요인에 대한 영향 분석을 시도하는 통계학적 분석 방법을 이용한 재해 발생의 중요요인을 분석하고자 첫째, 산업재해 통계 자료의 내용을 분석하여 재해 관련 변수들을 파악하는데 불안전 행동 및 불안전상태에 의한 재해 형태와 기타 변수들 간의 정성적 상관분석을 통한 상관계수를 고찰, 둘째, 명목척도인 범주형 변수 상호 간의 관련 여부를 파악하기 위해 카이제곱(chi-square)검정을 행하여 입원 일수를 종속 변수로 하는 기타 변수들의 독립성 여부와 변수 상호간 연관이 있다고 판단될 때 각 변수의 연관의 정도 비교, 셋째, 어떤 변수 상호간 일정한 관계를 가질 때 변수의 범주별로 반응변수(종속변수)에 미치는 영향을 회귀식 형태로 파악하고 비교하기 위하여 로짓(logit)모형을 적용하였다. (중략)