Earticle

RFID는 기존 물류방식의 변화를 가능케 하는 중요한 정보기술이다. 본 연구는 물류활동의 효율성 제고를 도모하기 위한 목적으로 국내 식․음료업체를 대상으로 RFID 도입의사 결정모형을 개발하였다. 167개 국내 식․음료업체를 대상으로 기업 일반현황 및 RFID 도입에 따른 SCM 부문별 기대효과를 분석한 결과 RFID 도입에 따른 SCM 부문별 효율성 향상에 대한 기대효과에 대해 대체적으로 긍정적으로 응답하였다. RFID 도입의사 결정모형 도출결과 RFID 도입의사에 주요한 영향을 미치는 영향요인은 “직원수”, “RFID 도입비용”이 도출되었다.

RFID is an important information technology that enables changes in existing methods of logistics. In this study, a decision making model for the introduction of RFID by domestic food & beverage businesses has been developed in order to enhance the efficiency of logistics activities. The general business states and effects expected from the introduction of RFID by SCM sector of 167 domestic food and beverage businesses were surveyed and based on the results, it was identified that generally positive answers were received. A decision making model for the introduction of RFID was derived and based on the results, it was identified that major influencing factors affecting the intention to introduce RFID were “the number of personnel” and “costs to introduce RFID”.

급속한 고령화에 비해서 아직 우리나라는 사회 전반적으로 고령화 문제를 심각하게 인식하지 않고 있다. 이러한 측면에서 고령화를 대비한 고령친화산업의 육성과 발전은 매우 중요한 현안이다. 특히, 고령친화산업 클러스터 구축은 고령친화 관련기업이 수요자에게 전문적인 상품 및 서비스를 제공하기 위하여 지역사회의 복지시설들과 상호 협력함으로써 지역사회차원의 네트워크 운용에 적극적으로 참여할 것으로 기대되고 있다. 따라서, 본 연구의 목적은 향후 바람직한 고령친화산업 클러스터 구축요인은 무엇 있는지를 살펴본 후, 고령친화산업 클러스터 구축효과성에 미치는 요인을 분석하고자 한다. 그리고 로짓모형을 활용하여 공공과 민간 기관 지역사회복지 종사자에 따라 고령친화산업 클러스터구축 효과성은 어떠한 영향차이가 있는지를 확인하고자 하였다. 분석결과 첫째, Wald 통계량 결과, 물적자원(-.910), 시장집중도(.586), 시장잠재력(.758), 배후지(-.453), 공공지원(-1.283)이 모두 유의수준 p<.05에서 사회복지종사원에 의미있는 영향이 나타났다. 둘째, B의 부호가 ‘+’이면 변수 값이 클수록 내부 값이 1인 집단(공공사회복지종사자)에 속한 가능성이 크고, 부호가 ‘-’이면 변수 값이 클수록 내부 값 0인 집단(민간사회복지종사자)에 속할 가능성이 크므로, 시장집중도, 시장잠재력은 증가할수록 공공사회복지종사자에 속할 가능성이 크고, 반대로 물적자원, 배후지이 증가할수록 공공지원은 민간사회복지종사자에 속할 가능성이 큰 것으로 나타났다. 분석결과에서 처럼 고령친화산업 클러스터 구축에 대한 영향은 특정한 영역에서 민간과 공공사회복지종사자들에 따라 영향을 미치고 그 중요성이 부각된다고 볼 수 있다. 따라서 공공과 민간영역이 동시에 발전시킬 수 있는 선진국의 다원주의 복지공급방식에 입각한 사회복지시스템인 고령친화산업의 육성이 요구된다.

South Korea's aging problem than the speed issue seriously is not recognized. In order to prepare for the Senior-friendly development and to the development of the industry is very important. In particular, Senior-friendly building industry clusters related to the Senior-friendly businesses for the consumer and professional products and services gives. Community facilities and community-wide network of cooperation by the operation are expected to participate actively. The purpose of this study is desirable future Senior-friendly building industry cluster factors verify.Senior-friendly build industrial clusters is to analyze the effectiveness factors. Logit model by utilizing the effectiveness Senior-friendly building industry cluster impact of private and public workers should make a difference. First analysis, Wald statistic result, material resources(-.910), market concentration(0.586), market potential(0.758), hinterland(-.453), public support(-1.283), significant levels of both p <. 05 employees in the social welfare was a meaningful impact. Second, B is the sign of '+', the value of a variable with a value of 1 inside the larger group(the public social welfare workers) are more likely to belong to. Friendly industrial cluster analysis as in the old building on the impact on a particular area of private and public social worker, depending on the importance of influence can be seen that the incidence. Thus, the public and private sectors to develop at the same time, the welfare of the developed supply system based on pluralism and social welfare systems, older-friendly development of the industry is required.

This study aims to develop a predictive model for student counseling support by identifying key individual factors encountered in university life, such as academic performance, financial conditions, psychological factors, and campus environment, as explanatory variables. Using logistic regression (logit model), the model was constructed to predict academic persistence and dropout, set as binary response variables, and validated for consistency through the support index. Additionally, the consistency of the dropout prediction model based on the logit model was cross-validated using a classification model with CART (Classification and Regression Tree) to determine which model or approach provided superior results. Modeling and comparing 2,000 simulated data points yielded similar results. All explanatory variables, except gender, were significant (p < .05), and, considering odds ratios, the number of leaves of absence (1.7818) and academic warnings (1.2921) had strong positive effects on dropout likelihood. Conversely, academic year, number of enrolled semesters, and GPA showed a negative effect on dropout probability. From a practical perspective for system implementation and operation, the logit model proved more efficient for constructing and applying the prediction model.

This paper reviewed previous research of changing characteristics of preliminary homeowners and borrow's reverse mortgage and to explore new changing from 1999 to 2009. The framework used in this study was binary logit model and a questionnaire survey from aged 40 to 60's preliminary homeowners in the Seoul Metropolitan Area. Major findings are as follows 1) The significant variables of a strong demand for reverse mortgage when they retired or become older, are marriage, higher education level, residential apartment, high concern of reverse mortgage. but not married children, higher age, more healthy, big size house are demonstrated a negative preference. 2) Many of the older(about 76.9%) are at risk of having insufficient resources in retirement, and they have owned over 30% as real estate resource. 3) The answer which have a positive preference to be use a reverse mortgage is clearly increased. 4) The willingness of passing their properties to next generation clearly improved for few years. 5) The reason which will not use reverse mortgage is because of resistance to reverse mortgage generally or more specific difficulties with the products that are available is unclear at this point. Reverse mortgages provide a means for elderly and aging to access their home equity while continuing to live in their homes. This could be an effective means for reducing poverty among the elderly. Due to the demographic development in Korea, it is better option for the government to improve the economic status of the aging population in the coming two decades, government might even supply promotion to spread nationwide rapidly.

The main purpose of this study is to establish the empirical model of internet banking system. The results of this study shows that the statistical significant lies in confidentially and response among many factors. And additionally another result for recommendation factor by legit analysis that there is the significant result. Thus in the present period, bank company will focus to rise up the reliance of the internet banking system.

본 연구에서는 경찰청에서 제공한 2006년 전국 37,589개의 보행자 사고 자료에서 나타난 보행자 사고 심각도를 분석했다. 이를 위해 본 연구에서는 보행자사고 심각도에 영향을 미칠 것으로 예상되는 주요 요인을 미리 선정하여, 그 영향을 순서형 로짓 모형(Ordered Logit Model)을 통해 분석했다. 이모형은 사고 심각도와 같이 종속변수가 순서형으로 표시되는 경우 매우 유용한 결과를 제시하는 것으로 알려져 있어서 본 연구에서 사용했다. 본 연구는 다음과 같은 결과를 나타냈다. 첫째, 우리나라 보행자 사고 심각도는 운전자와 보행자로 나타나는 인적요인에서 성별, 나이, 음주여부에 영향을 많이 받는다. 둘째, 기타 요인에는 차량, 도로기하구조, 날씨, 시간대가 포함된다. 셋째, 보행자 사고 심각도는 계절요인과 무관하다. 끝으로, 보행자 사고 심각도 분석을 위해 순서형 로짓 모형을 적용하면 매우 적절한 분석결과를 얻을 수 있다. 결론적으로 본 연구는 우리나라 보행자 사고 심각도는 사람들이 전통적으로 생각하는 것과 같은 방식인 것으로 확인했다. 이 결론은 본 연구에서 사용한 사고자료에 국한한 것이며, 이 결론을 일반화시키려면 추후 연구가 필요하다.

This Paper presents the severity analysis result of the year 2006 national pedestrian crashes using the data base of 37,589 records prepared for the National Police Bureau. A set of attributing factors considered to affect pedestrian crash patterns were selected, and their contributing effects were investigated by applying the Ordered Logit Model. This model was selected because this model has been able to afford satisfactory results when the dependent variable involved ordered severity levels; fatal, injury, and property- damage-only in this investigation. The investigation has unveiled the followings; First, the pedestrian crash patterns were dependent upon human -drivel and pedestrian- characteristics including gender, age, and drinking conditions. Second, other contributing factors included vehicle, roadway geometric, weather, and hour of day characteristics. Third, seasonal effect was not contributive to crash patterns. Finally, the application of the Ordered Logit Model facilitated the ordered severity level analysis of the pedestrian crash data. This paper concludes that conventional wisdom on the pedestrian crash characteristics is largely truthful. However, this conclusion is limited only to the data used in this analysis, and further research is required for its generalization.

Public research, which requires large computational resources, utilizes the supercomputers of the National Supercomputing Center in the Republic of Korea. The average utilization rate of resources over the past three years reached 80%. Therefore, to ensure the operational stability of this national infrastructure, specialized centers have been established to distribute the computational demand concentrated in the national centers. It is necessary to predict the computational demand accurately to build an appropriate resource scale. Therefore, it is important to estimate the inflow and outflow of computational demand between the national and specialized centers to size the resources required to construct specialized centers. We conducted a logit model analysis using the probabilistic utility theory to derive the preferences of individual users for future supercomputer resources. This analysis shows that the computational demand share of specialized centers is 59.5%, which exceeds the resource utilization plan of existing specialized centers.

This study was carried out to identify users' choice behavior of theme parks. overland. Lotte World, Seoul Land, Dreamland and Children's Grand Park were selected as study areas. Both multinomial logic model(MNL), nested logic model(NMNL) and joint logit model wet$.$e test using a choice-based sample collected on study areas. Hausman-McFadden test showed that the MNL is not appropriate because the IIA assumption is violated. To avoid the problematic IIA assumption, the NMNL was tested. It splits similar alternatives into groups and nests separate decisions into hierarchical order to avoid the IIA assumption. Cluster analysis and discriminant analysis were conducted to find applicable nest structures. The inclusive value coefficient was 0.7788. It meant that sufficient condition of this model is met and users' choice behavior can be better understood by NMNL than MNL. The $\rho$2 value and accuracy of prediction of this model were 0.402 and 46.33% , respectively. Several comments were suggested to make the NMNL to be more reliable for future research on users' choice behavior of theme park.

This study was carried out to identify destination choice behavior for one-day use recreation areas. Previous positioning study was utilized to select 4 study areas, and the secondary data were used for logit analyses. The Hausamn-McFadden test for IIA was conducted to examine whether conditional logit models are valid methodology for this study. The results revealed that IIA assumption among the study areas was violated; therefore, generalized binomial and generalized multinomial logit models were used in this study. In the binomial logit analysis, 2 to 5 independent variables were included in the models: their $\rho$2 values were from 0.1to 0.323, and accuracy of predictions were from 65.38 to 79.86 percent. In the multinomial logit analysis, 4 independent variables were included in the model: its $\rho$2 value was 0.207, and accuracy of prediction was 45.82 percent. The results showed that the conditional logit should be used with caution because of the IIA assumption. Several suggestions were described, mainly due to utilization of the secondary data for this study.

The purpose of this study is to suggest developing plans for 6 beef brands in Kangwon-do. Data were collected by consumer survey on 12th August, 2010 at Daemyung Resort in Hongcheongun. A total of 658 questionnaires were distributed and collected. SAS 9.1 and Excel 2007 were used as statistical packages and ordered logit model was used as a model to analyze the data. From the results of the study the following improvement plans were suggested for the 6 beef brands in Kangwon-do. First, the 6 beef brand agents should use public relation to give information for consumers. Clean image of Kangewon-do and clear distribution process should be stressed for the public relation. Second, promotion is an important tool to discriminate the 6 beef brands with other beef brands. The discrimination by the 6 beef brands should be focused on taste of the 6 beef brands. Third, market segmentation strategies are needed. The market segmentation may be achieved by segmentation of sales places.

본 연구에서는 국내 테마파크 방문자들의 인구통계학적 특징에 따른 테마파크의 수요를 분석 하였다. 본 연구에서는 테마파크의 수요예측을 위해 순위 자료 분석에 적합한 순서형 로짓 모형(Ordered Logit Model)을 사용하였다. 분석결과 테마파크 방문자가 주 5일 근무형태를 가질 경우 테마파크 방문을 결정하는데 긍정적인 영향을 끼쳤으며, 테마파크를 자주 방문할 경우 가까운 곳을 선호하였다. 방문자의 직업(소득)차이보다는 직업의 유무가 테마파크 방문에 영향을 끼쳤다. 이는 테마파크의 방문을 결정하는데 이용자간의 소득 격차보다 소득의 안정성이 더 중요하다는 것을 보여준다. 방문자의 연령변수를 살펴보면 나이가 어릴수록 자주 테마파크를 방문하겠다는 의견이 많은 것 을 알 수 있다. 이런 확률의 증가는 20대까지만 나타났으며, 30대 초반 이후로는 급격한 감소현상을 보였다. 테마파크의 방문 결정은 근무형태, 직장, 결혼, 자녀출산 등 이용자의 개인적 특징과 테마파크와 거주지의 접근성 정도에 의해 결정되었다.

본 연구의 목적은 사회경제적 특성에 따른 장사유형 선호의 결정요인을 도출하는 것이다. 우리나라는 '장사 등에 관한 법률'에 의하여 장사유형은 매장, 봉안, 자연장으로 구분하고 있다. 본 연구는 사람들이 3가지 장사유형을 선택함에 있어 그들이 가진 어떠한 사회경제적 특성이 영향을 미치는지 실증분석하였다. 이를 위하여 2017년 사회조사 자료와 전국의 장사시설 자료를 수집하였다. 그리고 매장과 화장을 상위 계층으로 하고, 화장의 하위 계층에 봉안과 자연장이 반영된 위계 구조를 구성하여 분석용 자료를 구축하였다. 구축된 자료를 바탕으로 네스티드로짓모형을 활용한 실증분석을 실시하였다. 실증분석 결과, 장사유형의 선호에 통계적으로 유의한 영향을 미치는 사회경제적 특성은 성별, 연령, 가구주 여부, 혼인상태, 전반적인 생활에 대한 만족도, 사회경제적 지위에 대한 계층의식, 월평균 가구소득, 주택 유형, 주택 점유형태, 도시 거주 여부로 추정되었다. 네스티드로짓모형의 결과는 직접 탄력성과 교차 탄력성을 산출하여 변수별 탄력성 계수를 근거로 해석하여야 한다. 따라서 본 연구는 통계적으로 유의한 변수들의 직접 탄력성 및 교차 탄력성 계수를 산출하였다. 산출한 직접 탄력성은 통계적으로 유의한 변수가 변화할 때, 각 장사유형의 선택 확률을 해석하는데 활용하였다. 그리고 교차 탄력성은 특정 장사유형을 선택하는 경우, 나머지 장사유형을 선택하는 확률이 어떻게 변화하는지 해석하는데 활용하였다. 실증분석 결과 중 주목해야하는 점은 자연장과 관련된 사항이다. 자연장에 대한 수요를 충족하기 위한 자연장지의 공급을 활성화하고, 자연장에 대한 인식 제고를 위한 노력을 기울일 필요가 있다. 이를 통하여 국토 공간을 효율적으로 이용하여야 할 것이다.

The purpose of this study is to identify determinants for preferred funeral methods depending on socio-economic characteristics. In South Korea, the Act on Funeral Services, Etc. categorizes funeral methods into burial, inurnment, and natural burial. This study empirically analyzes how and what socio-economic characteristics affect choices among these three categories. Data is collected from Social Survey 2017 and funeral facilities in the country. The data to be analyzed is developed in terms of a hierarchy which puts the burial and cremation methods in an upper class and the inurnment and natural burial methods in a lower class. Based on this data, a nested logit model is employed to conduct empirical analysis. The analysis indicates that those characteristics that have a statistically significant influence on preferred methods include gender, age, householder, marriage, satisfaction with life, class awareness, monthly income, housing type, housing tenure type, and living in city area. Each variable's modulus of calculated direct and cross elasticity need to be used to analyze the outcome of a nested logit model. In this study, the modulus of direct and cross elasticity are determined for the significant variables. The calculated direct elasticity is applied to analyze the likelihood of choosing each funeral method when there are changes in the significant variables. When a particular method has been selected, on the other hand, the cross elasticity is utilized to analyze changes to the likelihood of choosing the other methods. One of the most notable results is related to natural burial. In order to meet the demand for natural burial, it is necessary to provide more burial sites and raise awareness of natural burial. This will facilitate the efficient use of national territorial space.