• Proceedings of the Korea Association of Information Systems Conference
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• 2005.12a
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• pp.435-440
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• 2005

정보기술 도입과 관련된 주류 이론은 혁신확산이론과 기술수용모델이다. 특히 기술수용모델은 도입의사결정자가 합리적 사고를 한다는 전제가 이론 기저에 깔려 있다. 하지만, 실제 현실세계에서는 유행과 집단의식 등에 의해 정보기술을 도입하는 경우가 많다. ERP가 유행이면, 무조건 쫓아서 ERP를 도입하고, KM이 유행이면 또한 쫓아서 KM을 도입하는 현상이 보편적으로 일어나고 있다. 이러한 행태를 군집 행태라 한다. 군집행태는 정보에 대한 비대칭성이 커서 사람들이 느끼는 정보의 불확실성이 큰 경우에 사람들이 보이는 행태 중의 하나이다. 어느 한 사람이 특정한 행동을 하면 다른 사람들도 그를 따라 집단적으로 동일한 행동을 하는 것을 말한다. 그 사람이 왜 그러한 행동을 하는지를 알고 따라하는 것이 아니다. 그가 자신이 모르는 무엇인가를 알고 있다고 믿고 우선 따라 하는 것이 상책이라고 생각하는 것이다. 본 연구에서는 정보기술의 도입과 관련된 군집행태에 영향을 주는 요인을 찾아내고자 한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.5
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• pp.252-266
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• 2019

The purpose of this study was to identify the type of health behaviors in Korean adults and to identify related factors. The data used in the analysis was the Korea Health and Nutrition Examination Survey 2014., which was representative of the Korean population. Cluster analysis was used to find the pattern of clustering of smoking, drinking, exercising and nutrition. Differences in the pattern of clustering was examined, first by bivariate chi-square test, and then by multinomial logit regression. Lastly, the association between the clusters of health behaviors and other behavioral risk factors was tested by chi-square test and logistic regression. The distribution of the clusters varied not only across socioeconomic characteristics and local size, but also between individuals with certain chronic diseases and those without. The results of this study can be used as a basis for the usefulness of approaching the cluster rather than individually approaching the health behavior.

• Journal of The Korea Institute of Healthcare Architecture
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• v.18 no.3
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• pp.9-17
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• 2012

본 연구는 미국 소재 T 대학교의 학생아파트를 대상으로 하여 창밖으로 보이는 외부 환경의 차이와 거주자의 환경조절 행태 사이의 관계를 분석하는 관찰연구로 진행되었다. 거주자와 거주환경간에 발생하는 부조화는 환경 스트레스의 한 원인이 된다. 이러한 환경 스트레스에 대한 대응 전략으로 거주자는 그들의 환경을 조정하곤 한다. 본 연구는 실내에서 식물을 키우거나 거주자의 취향에 따라 커튼을 교체하는 등의 환경조절 행태를 분석의 대상으로 한다. 창문과 현관 영역에서 발생하는 환경조절 행태의 정도를 비교 관찰하기 위해 군집형과 일자형으로 되어 있는 두 개의 배치 유형을 연구의 대상으로 선정하였다. 군집형 유형(cluster type: type A)은 상대적으로 도로에 가깝고 거실 창문의 조망이 다른 건물에 가로막혀 있으며, 일자형 유형(parallel type: type B)은 가로막고 있는 건물이 없어 자연경관을 거실 창문을 통해 조망할 수 있는 배치상의 두드러진 차이점이 있다. 관찰연구를 통해 군집형 유형에서 일자형 유형보다 더 높은 빈도로 식물 화분과 개별 커튼 등을 이용한 개인적 환경조절이 이루어진 흔적이 발견되었다. 이러한 결과는 창문을 통해 보이는 외부 경관의 특성이 거주자의 환경조절 행태에 미치는 영향의 정도를 암시하고 있다. 결론적으로 관찰연구에서 나타난 거주자의 환경조정 행태를 반영하여 디자인 고려사항을 제안하였다.

• Proceedings of the KAIS Fall Conference
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• 2010.11b
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• pp.759-762
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• 2010

본 연구는 당뇨인지환자들의 당뇨 조절에 관계되는 요인들을 포괄적으로 반영하는 집단으로 분류한 후 이를 기반으로 보다 효율적인 당뇨관리사업을 할 수 있는 기초자료를 제공하기 위해 수행되었다. 연구를 위해 2007년, 2008년도 국민건강영양조사를 통해 검진에 참여한 당뇨인지환자 666명의 자료를 수집하여 분석하였다. 당뇨인지환자의 관리행태에 대한 군집분류는 K-means 기법을 이용하였다. 당뇨인지환자의 군집은 건강행태사업 대상군, 중점관리사업 대상군, 합병증검사사업 대상군으로 분류되었다. 당뇨 조절율을 높이기 위해서는 각 군집의 특성에 따라 보다 특화된 당뇨관리 프로그램이 적용되어야 할 것이다.

• Journal of Korean Society of Transportation
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• v.35 no.4
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• pp.332-347
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• 2017

Analysis of the interaction between the automated vehicles and manual vehicles is very important in analyzing the performance of automated cooperative driving environments. In particular, the automated vehicle platooning can affect the driving behavior of adjacent manual vehicles. The purpose of this study is to analyze the lane change behavior of the manual vehicles in automated vehicle platonning environment and to conduct the experiment and questionnaire surveys in three stages. In the first stage, a video questionnaire survey was conducted, and responsive behaviors of manual vehicles were investigated. In second stage, the driving simulator experiments were conducted to investigate the lane change behaviors of in automated vehicle platonning environments. To analyze the lane change behavior of the manual vehicles, lane change durations and acceleration noise, which are indicators of traffic flow stability, were used. The driving behavior of manual vehicles were compared across different market penetration rates (MPR) of automated vehicles and human factors. Lastly, NASA-TLX (NASA Task Load Index) was used to evaluate the workload of the manual vehicle drivers. As a result of the analysis, it was identified that manual vehicle drivers had psychological burdens while driving in automated vehicle platonning environments. Lane change durations were longer when the MPR of the automated vehicles increased, and acceleration noise were increased in the case of 30-40 years old or female drivers. The results from this study can be used as a fundamental for more realistic traffic simulations reflecting the interaction between the automated vehicles and manual vehicles. It is also expected to effectively support the establishment of valuable transportation management strategy in automated vehicle environments.

• The Journal of Korean Association of Computer Education
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• v.23 no.1
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• pp.77-90
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• 2020

The purpose of the study is to provide educational implications for more effective Problem-based learning(PBL) by investigating students' learning types based on their online learning behaviors. A total of 1,341 students participated in the study, and they engaged in a six-week-long PBL program run by K University. For the study, participants' online activity data were collected. From the data, a total of 48 variables that represent their various online learning behaviors were extracted. Based on the variables, hierarchical cluster analysis was conducted to analyze learning types. Also, the differences in learning characteristics and achievements were investigated by considering types of learning. As a result, the learning types in online PBL were classified as 'high-level participation (cluster 1)', 'medium-level participation (cluster 2)', and 'low-level participation (cluster 3)'. In addition, the achievement level was found to be highest in 'high-level participation (cluster 1)' and lowest in 'low-level participation (cluster 3)'. Based on the results, the implications for improving online PBL were suggested.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.2
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• pp.765-774
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• 2011

The purpose of this study is to provide informative statistics which can be used for effective Diabetes Management Programs. We collected and analyzed the data of 666 diabetic people who had participated in Korean National Health and Nutrition Examination Survey in 2007 and 2008. Group classification on management behavior of Diabetic Mellitus is based on the K-means clustering method. The Decision Tree method and Multiple Regression Analysis were used to study factors of the management behavior of Diabetic Mellitus. Diabetic people were largely classified into three categories: Health Behavior Program Group, Focused Management Program Group, and Complication Test Program Group. First, Health Behavior Program Group means that even though drug therapy and complication test are being well performed, people should still need to improve their health behavior such as exercising regularly and avoid drinking and smoking. Second, Focused Management Program Group means that they show an uncooperative attitude about treatment and complication test and also take a passive action to improve their health behavior. Third, Complication Test Program Group means that they take a positive attitude about treatment and improving their health behavior but they pay no attention to complication test to detect acute and chronic disease early. The main factor for group classification was to prove whether they have hyperlipidemia or not. This varied widely with an individual's gender, income, age, occupation, and self rated health. To improve the rate of diabetic management, specialized diabetic management programs should be applied depending on each group's character.

• Journal of Digital Convergence
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• v.12 no.8
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• pp.397-410
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• 2014

This study sought to identify types of health behavior clusters among Korean adults and their related factors. A secondary analysis of 1,441 subjects, aged 19 to 64, in the 2009 Korean National Health and Nutrition Examination Survey (KNHANES IV-3) was conducted. A cluster analysis was used to identify types of clusters related to physical activity, smoking, and alcohol drinking. A complex samples chi square test and multivariate logistic regression were performed to analyze the associations between types of health behavior clusters and sample's characteristics using SPSS WIN 21. Five clusters were identified: health promotion, smoking, alcohol drinking, passive attitude, and risky behavior. The passive attitude cluster had the most subjects, with 47.7% of subjects as members. Socio-demographic factors, hypertension, and depressive symptoms were associated with membership in the alcohol drinking, smoking, passive attitude, or risky behavior cluster rather than the health promotion cluster. The findings of this study suggest that integrated health promotion programs incorporating multiple strategies need to be investigated. In addition, further studies should explore psychosocial factors that affect health behavior clusters, such as stress, self-efficacy, social support, and social networks.

• Culinary science and hospitality research
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• v.17 no.4
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• pp.13-24
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• 2011

The purpose of this study is to analyze dining out consumption behavior of working women based on their lifestyle. To do this, demonstrative research was conducted on studying how the behavior of working women differs according to their lifestyle. The questionnaires developed for this study were distributed to 350 working women living in Daejeon City. A total of 310 copies of the questionnaire were used for analysis, and the statistical analysis was completed using SPSS(ver 12.0) for descriptive analysis, factor analysis and cluster analysis. A total of 4 factors were generated by factor analysis: Financial technology style, pursuit of dining out style, pursuit of popularity style, pursuit of brand style. The result of analyzing the difference between the consumer behavior by lifestyle of working women showed there were significant differences in 5 factors except time required for meal. To sum up, lifestyle of working women plays an important role in dining out consumption behavior. Therefore, marketing strategies about demographic characteristics and dining out consumption of working women are urgently needed.

• Journal of Agricultural Extension & Community Development
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• v.19 no.4
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• pp.1137-1170
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• 2012

The study aims to identify the typology of urban-rural migration and its implications. Factors analysis showed that the motivation of migration were economic, idyllic, family, escape of urban life, and farm succession. The most important variable was economic motivation. Cluster analysis also showed that enterprise seeker, small new business seeker, idyllic seeker, and farm successor, This study will be helpful for policy makers to understand urban-rural migration while practical and policy implications were discussed.