• Proceedings of the Korean Society of Computer Information Conference
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• 2011.01a
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• pp.145-148
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• 2011

본 연구는 전자교육(e-learning) 교수설계자의 핵심 직무역량을 분석함으로써 궁극적으로 교수설계 인력의 전문성 제고 방안 마련에 그 목적이 있다. 이를 위해 우선, 선행연구를 토대로 전자교육 교수설계자의 역량수준도와 역량중요도를 분석할 수 있는 설문 조사지를 개발하여 50명의 전자교육 교수설계자를 대상으로 설문하고 그 자료를 분석하였다. 활용 가능한 42부를 최종 분석에 이용하여 SPSS 17.0을 사용하여 통계 처리한 결과, 전자교육 교수설계자는 전반적으로 보통 수준을 상회하는 양호한 역량 수준도를 보유한 것으로 나타났지만, 역량중요도 인식과 비교해 볼 때 평균적으로 큰 차이를 나타냈으므로 직무수행을 위해 갖춰야 하는 역량의 중요성에 비해 전자교육 교수설계자의 현재 역량 수준도는 충분하지 못하다는 것을 알 수 있었다. 향후에는 인터뷰와 같은 질적인 접근을 통해 좀 더 현실적인 업무 환경을 반영한 역량 연구와 더불어 직무 인식도에 영향을 줄 수 있는 수많은 자극 가능성을 최대한 수렴한 세분화된 연구를 통해 전자교육 교수설계자의 상황과 수준에 맞는 양질의 교육 프로그램을 다양하게 제공해야 할 수 있도록 연구할 필요가 있다.

• Proceedings of the Korea Association of Information Systems Conference
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• 2005.12a
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• pp.185-193
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• 2005

본 연구에서는 항만클러스터에 대한 온라인과 오프라인의 융합요소를 도출하고 이러한 융합요소가 항만클러스터의 성공에 어떠한 영향을 미치는가를 분석하였다. 온라인과 오프라인의 융합요소에는 첫째, 정보화, IT화, e-transformation화 수준 등을 포함하는 e-비즈니스화 정도 둘째, B2B 전자상거래 수준 셋째, 관련 온라인기업들의 활성화 수준, 넷째, 항만클러스터에 특화된 e-비즈니스 지원 산업 수준 그리고 마지막으로 E-Logistics 수준 등이 있다. 항만클러스터의 오프라인 요소와 온라인 요소가 융합됨에 따라 얻어지는 효익항목, 항만클러스터 SCM 가치사슬 구성요인에 대한 항목, 그리고 항만클러스터에 속한 기업이 얻을 수 있는 성과항목에 대한 요인을 추출하기 위하여 요인분석을 행하였으며, 요인분석에서 추출된 온라인과 오프라인의 융합요소가 거시적인 측면에서 항만클러스터 SCM 가치사슬 요인과 미시적인 측면에서 클러스터내의 개별기업 성공에 어떠한 영향을 미치는가를 분석하기 위하여 회귀분석을 수행하였다.

• Journal of Navigation and Port Research
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• v.30 no.8 s.114
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• pp.669-674
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• 2006

The purpose of this study is to examine the effects of the factors on the usage level of e-business in the shipping companies. In order to do empirical analysis, firstly, this study carried out reliability analysis and factor analysis. Secondly, this study examined the effects of the factors on the usage level of e-business in the shipping companies by multiple regression analysis. In conclusion, the analysis result revealed that 5 factors effect on the service business usage's level and 4 factors effect on the real transaction usage's level of e-business.

• Culinary science and hospitality research
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• v.16 no.2
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• pp.31-48
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• 2010

The purpose of this study was to examine the influence of food service web site users' functional recognition extent on switching behaviors. For this, a survey of web site users was carried out. As for analytic methods, frequency analysis was used to examine respondents' demographic features. In addition, simple regression analysis and multiple regression analysis were carried out used to look into the influence of functional recognition of food providers' web sites on switching behaviors. Study findings are as follows: all the functional variables such as entertainment, advertisement & public relations, communication and purchase decision-making function have significant influence on users' switching behaviors. When users' recognition extent of food providers' online web sites is high, their switching behavior is also high. In particular, the following clause have the greatest influence upon users' switching behaviors pattern. In the function of entertainment, (1) it is easy to search on web site; in the advertisement function, (2) the image of restaurant can easily be recognize; In the communication function, (3) the image of new products can be seen with ease; and in the purchase decision-making function, (4) web sites are easily accessible.

• Journal of the Korea Society of Computer and Information
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• v.25 no.6
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• pp.225-230
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• 2020

The purpose of this study was to present implications for empirical analysis of the structural relationship between the level of activities for senior citizens, self-efficacy, and life satisfaction and depression. In order to the survey was conducted For the elderly students who are enrolled in the Senior Citizens' Welfare Center and participating in the information service education in the G-metropolitan city. The method of data analysis was verified by the Regression and Hierarchical Regression analysis using the spss 22.0 statistical program. As a result, The level of activity for the elderly increases the level of self-efficac, The level of activity and self-efficacy of the elderly increased the level of living satisfaction of the elderly and It has been shown to lower the level of depression. Self-efficacy has been shown to have a mediating effect in the relationship between senior citizens' level of information service activities and living satisfaction and depression. Based on these analysis results, a policy measure was proposed to enhance the level of activities for senior citizens.

• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.395-404
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• 2022

The purpose of this study is to prevent obesity in the elderly and to seek differentiated intervention measures according to education level by comparing and analyzing the factors influencing obesity in single-person households according to education level. Using the data from the National Health and Nutrition Survey in 2020, cross-analysis and logistic regression analysis were conducted through data of a total of 400 respondents, and the analysis showed vulnerability in physical activities that could affect obesity if the education level was low, and risk factors such as eating out and sodium intake were high. As a result of comparative analysis of influencing factors through the classification of education levels, sedentary time was a risk factor in the low-education group, and sodium intake was a risk factor for obesity in the high-education group. Through this, it was discussed the need for healthy nutrition and physical activity education for middle-aged and elderly single-person households, and differentiated intervention according to the level of education.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10c
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• pp.694-696
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• 2002

이 논문에서는 시스템 수준의 전력 소모를 분석하는 방법론을 설명한다. 응용의 시스템 수준 전력 모델을 구하기 위해서, 시스템을 이루는 각 부분들을 선형적으로 모델링하고, 이를 모두 더한다. 선형적으로 모델링된 식의 파라메터들을 구하기 위해서, 회귀분석에 기반한 분석을 한다. 이를 위해서 다양한 벤치마크들을 준비하고, 응용에 대해서 측정을 한 것과 수정된 시뮬레이터에서 필요한 정보를 얻어야 한다. 이렇게 분석한 전력 모델의 예측치는 5% 내의 정확도를 가짐을 확인하였다.

• Korean Journal of Construction Engineering and Management
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• v.16 no.4
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• pp.129-138
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• 2015

In this study, the road construction field of high impact in the construction industry were selected, and the analysis of the detailed technology level was carried out. and we derived the main fields for future overseas. As results, the technology level of road facilities in korea was high about road operations and management sector, while it was relatively row about road pavements. And this study, we analyzed the economic, social and technological priority, and derived main fields to have the high investment efficiency. A derived items are found to be "maintenance-free Modular Road Pavements" and "Cities temperature reduction-type road".

• Journal of Energy Engineering
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• v.23 no.4
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• pp.196-206
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• 2014

This study analyzes the technological level of Korean bioenergy firms and its determinants by using a multiple logistic regression analysis based on a survey. As the result of analysis, the technological level of Korean bioenergy firms has been positively influenced by the firm size, R&D investments and R&D manpower, but negatively influenced by the competition in domestic market and economy of scale. The policy implications of this study are related to achieve the economy of scale and coevolve between demand and supply-firms for the improvement of the technological level of Korean bioenergy firms.

• Journal of the Korean Data and Information Science Society
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• v.24 no.6
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• pp.1285-1296
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• 2013

The fundamental concerns of this paper are to analyze the effects of student course evaluation using subject characteristic and student characteristic variables. We use a 2-level hierarchical linear model since the data structure of subject characteristic and student characteristic variables is multilevel. Four models we consider are as follows; (1) null model, (2) random coefficient model, (3) mean as outcomes model, (4) intercepts and slopes as outcomes model. The results of the analysis were given as follows. First, the result of null model was that subject characteristics effects on course evaluation had much larger than student characteristics. Second, the result of conditional model specifying subject and student level predictors revealed that class size, grade, tenure, mean GPA of the class, native class for level-1, and sex, department category, admission method, mean GPA of the student for level-2 had statistically significant effects on course evaluation. The explained variance was 13% in subject level, 13% in student level.