• The Korean Journal of Financial Studies
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• v.7 no.1
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• pp.71-98
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• 2001

본 연구는 절대가치 추정방법인 EVA모형과 FCFF모형, 그리고 상대가치 추정방법인 PER모형, PBR모형 및 PSR모형의 한국기업에의 적합성을 검증하는 것을 목표로 하고 있다. 분석대상기간은 1992년$\sim$1996년까지 5년 간으로 하였으며 수익률 자료를 획득할 수 있고 괴리율을 계산할 수 있는 207개 기업을 전체 표본기업으로 선정하였다. 절대가치평가모형에 의한 집단간 차이분석에서는 EVA모형과 FCFF모형 모두 집단간에 유의적인 차이를 보이는 것으로 나타났다. 그리고 상대가치평가모형에 의한 집단간 차이분석에서는 PBR모형과 PSR모형은 분석기간 동안 집단간에 유의적인 차이를 보이는 것으로 나타났다. PER모형의 경우에는 재무제표 공시일 이전에 이미 반영되고 공시일 이후에는 차이를 보이지 않는 것으로 나타났다. 회귀분석 결과 주식수익률은 산업평균수익률인 Rc와 FCFF모형에 의한 괴리율과 강한 유의적인 관계를 갖고 PBR모형에 의한 괴리율과는 약한 유의적인 관계를 갖는 다는 것을 확인할 수 있었다. 이상의 연구결과는 절대가치 추정방법인 FCFF모형과 상대가치 추정방법인 PBR모형에 의한 기업평가모형이 제한적이지만 한국주식시장에서 어느 정도 적합성을 가질 수 있다(재무제표 공시일 기준)는 가능성을 보여주고 있다.

• Journal of Satellite, Information and Communications
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• v.7 no.1
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• pp.33-38
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• 2012

In this paper we proposed an algorithm selection method based on the features of video inputs which are acquired from the large scale integrated surveillance system. The example of integrated surveillance system is the metro railway system. Automated surveillance system at large area saves the human resource and minimizes the non-observing spots. We have analyzed the input video under this system in order to apply adequate video analytics algorithms in each installing places and for each situation. Based on the analysis, we suggested event processing scenarios and video analytic algorithm selection.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.137-138
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• 2016

본 연구에서는 기술수용모델과 혁신확산이론을 기반으로 스마트폰 혁신기술 저항에 관한 재사용 의도에 미치는 영향을 알아보고자 한다. 외부변수는 기술수용모델의 인지된 유용성과 인지된 사용 용이성 그리고 혁신확산이론의 적합성과 복잡성을 4개 변수를 두고자 한다. 예측변수는 혁신저항 변수를 두고 재사용의도에 미치는 영향으로 하여 개념모델을 완성하였다. 또한 혁신저항 변수가 인지된 위험 요인을 매개하여 재사용의도에 미치는 영향을 알아보고자 하였다. 연구대상은 부산 경남지역 및 전북지역에 거주하는 스마트폰 사용자를 대상으로 설문을 통해 자료를 수집하고자 한다. 인구통계학인 분석은 IBM SPSS Statistics 19로 하고 확인적 요인분석과 변수들 간의 인과관계에 대한 경로분석은 Smart PLS를 사용하여 분석하고자 한다. 분석결과를 바탕으로 이론적 실무적 시사점을 제시하고자 한다.

• Convergence Security Journal
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• v.20 no.4
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• pp.91-101
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• 2020

We analyzed APT attack cases that occurred overseas in the past using a cyber kill chain model and a TTP model. As a result of the analysis, we found that the cyber kill chain model is effective in figuring out the overall outline, but is not suitable for establishing a specific defense strategy, however, TTP model is suitable to have a practical defense system. Based on these analysis results, it is suggested that defense technology development which is based on TTP model to build defense-in-depth system for preparing cyber attacks.

• Asia Marketing Journal
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• v.3 no.2
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• pp.1-20
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• 2001

본 연구는 리즈렐을 이용한 자료 분석에서 실제적으로 발생할 수 있는 문제점과 유의해야 할 사항을 실증자료를 이용하여 고찰하기 위한 것이다. 분석자료는 수도권에 소재하고 있는 보험판매영업소에서 판매활동을 하고 있는 328명의 보험판매원의 조직시민 행동(organizational citizenship behaviors, OCB)에 영향을 미치는 선행변수를 파악하기 위해 수집된 자료를 이용하였다. LISREL 적용상의 유의사항으로는 구성 개념과 지표간의 관계 및 구성 개념간의 관계, 좋은 참조변수 지정의 중요성, χ² 검정 적용상의 유의사항, 식별되지 않은 모델과 관련한 유의사항, 초기설정치의 제공과 수용하기 어려운 해와 관련한 유의사항, 모델 탐색시의 유의사항, 공분산행렬로 분석하지 않고 상관 행렬로 분석하는 경우의 문제점, 표본크기 확인과 분석에 선택된 변수 지정의 중요성, 전반적인 적합도에 의한 모델의 검정, 결과 해석과 보고시의 유의사항을 다루고 있다. 이어서, LISREL에 있어서의 모수 유의성 검정상의 문제점에 대해 고찰하고 있으며, LISREL의 유용성과 한계점에 대해서도 다루고 있다.

• Journal of Navigation and Port Research
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• v.35 no.1
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• pp.101-112
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• 2011

Nowadays, the third-party logistics is getting special attention as one of the most useful ways to perform the logistics management effectively. In this current trend, however, there are many firms which carry out the logistics activities by themselves and strengthen the competitiveness. In respect of contingency theory, the firms' logistics management types should depend on their logistics environment and characteristics, and then the logistics performances vary with this suitability. In this context, this study analyzed empirically the difference of the logistics performances due to the fitness between their logistics characteristics and the management types. According to the finding, the study showed that the third-party logistics is more suitable when the importance and weight of logistics operation and the weight of their export are greater respectively, and the self-logistics is more suitable when the logistics cost is higher. Futhermore, the study indicated that the firms whose relationship between the characteristics and the management types is fit in their logistics are better than the others in the outcome of logistics cost reduction and the effectiveness of logistics operation.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.14 no.1
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• pp.33-40
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• 2003

Radio frequency management system(RFMS) is being operated to facilitate national spectrum management and monitoring in Korea. To improve the engineering analysis function in RFMS, criteria for the automated selection of the propagation model adequate to the radio station service environment considered are proposed. Those criteria are derived from the specified parameters obtained through the analysis of related ITU-R propagation & diffraction loss models which are to be used in RFMS. Then, using criteria acquired, computer program is made to achieve the automated selection of the most appropriate propagation algorithm, among the ones provided in RFMS, to the environment in which the engineering analysis is required. Furthermore, an illustrative example is shown with the proposals fur increasing the efficiency of the engineering analysis in RFMS.

• Spatial Information Research
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• v.16 no.2
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• pp.237-247
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• 2008

Statistical analysis of the coordinate information is regarded as one of the major GIS functions. Among them, one of the most fundamental analysis is density analysis of point features. For analyzing the density appropriately, determining the search radius, kernel radius, has critical importance. In this study, using L-index, known as its usefulness for choosing the kernel radius in previous researches, radius for density analysis of various point features are estimated, and the behavior of L-index is studied based on the estimated results. As results, L-index is not suitable to determine the search radius for the point features that are evenly distributed with small clusters, because the pattern of the L-index is depends on the size of the study area. But for the point features with small number of highly clustered areas, L-index is suitable, because the pattern of the L-index is not affected by the size of study area.

• Culinary science and hospitality research
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• v.15 no.4
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• pp.187-199
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• 2009

The objective of the research is to investigate the causal relationships among functional value, emotional value, social value, perceived sacrifice, satisfaction, loyalty and behavioral intention. All in all, 296 respondents completed a questionnaire themselves in the presence of an interviewer who could be consulted about the response scales and other technical matters. Behavioral intention models were estimated by structural equation modelling using 7 latent constructs. The results demonstrated that the confirmatory factor analysis model provided a good model fit. The unconstrained model yielded a significantly better fit to the data than the constraint model. The effects of functional value and social value on satisfaction and behavioral intention were statistically significant. The effects of perceived sacrifice, satisfaction and loyalty on behavioral intention were statistically significant. As expected, satisfaction had a significant effect on loyalty. Functional value had an indirect effect on behavioral intention through satisfaction and loyalty. Moreover, social value had an indirect effect on behavioral intention through satisfaction and loyalty. Replicating and extending this study in other regions and other samples would test the generalizability of the present findings and provide a basis for an external validation of the framework developed in this paper.

• The Journal of the Korea Contents Association
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• v.18 no.2
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• pp.248-261
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• 2018

This study, the Fear of Missing Out Scale (FoMO Scale) developed by Przybylski et al. (2013) was adapted and validated to the Korean culture. 3-factors were constructed through EFA and item content analysis. In the CFA, 3 models were constructed to verify the fit of the model. Compared the goodness of fit, 3-factors model with 8 items proved to be the most appropriate. Sub-factors extracted through the characteristic context and rationale of Korean culture are 'belonging needs', 'extrinsic motivation', and 'relative deprivation'. K-FoMO scale and the reliability level of each sub-factor were good. Convergent validity was assessed by significant correlation the K-FoMO scores with life satisfaction, positive emotions, negative emotions, and SNS addiction proneness. Discriminant validity was assessed by low correlation with gratitude. At the end, limitation and suggestions for the future research were discussed.