• Korean Journal of Construction Engineering and Management
• /
• v.9 no.4
• /
• pp.92-100
• /
• 2008

Productivity is acknowledged as a very important factor for successful construction projects. Various data items collected daily form a construction site can be used for monitoring its productivity by analyzing them. However, no analytical methods for that purpose have been established in the domestic construction industry yet. Previous researches that utilized OLAP and data mining to analyze the factors that affect the productivity did not do well with predicting future cases with sufficient reliability. This research therefore proposes a new analytical process which is capable of figuring out the factors that would affect the productivity of future projects, through qualitative and quantitative analysis of the data collected from past projects.

• International Area Studies Review
• /
• v.13 no.3
• /
• pp.163-190
• /
• 2009

This study tries to analyze the investment determinants of Chinese firms in local Korea, where the Chinese investing ones have been operating since in the middle of 1990s. The main purpose can be mentioned to test empirically some relations between the investment determinants of Chinese firms and the investment types. In detail speaking, the dependent variables of investment types are classified with sole venture and joint venture, while the independent ones are sorted based on the previous studies with the 2 following factors like the competitive advantages of Chinese firms, and the location advantages of local Korea. This study is conducted as the following: the survey of Chinese firms engaging in investment activities in there is implemented by collecting questionnaires. And for testing the hypothesis, the path analysis of structural equation modeling is activated with SPSS. 12.0 and AMOS 11.0 for windows.

• 한국노년학
• /
• v.29 no.3
• /
• pp.1141-1158
• /
• 2009

This study was conducted to explore the determinants of happiness for Korean Old People. A total of 105 Korean old people responded to open-ended questions about their happiness. From the content analysis of those reponses were happiness-related 70 items derived. Then 200 old people rated themselves on the list of those items. Factor analysis of those data ended up with 33 items of 8 factors, which were ①Family relationship, ②Religion, ③Financial ability, ④Health, ⑤Work/Job, ⑥ Psychological stability, ⑦Leisure, ⑧Public welfare. This Happiness Scale for the Korean old people, Subjective wellbeing Scale, Emotion experience Scale, and Self-esteem Scale were also administered to the identical 200 Korean old people. Results indicated that the construct validity of this new Happiness Scale for Korean old people was obtained. Finally, the implications and limitations of the present study and suggestions for further studies were discussed.

• Korea Real Estate Review
• /
• v.27 no.4
• /
• pp.7-20
• /
• 2017

This study attempts to diagnose and categorize the characteristics of old industrial parks, and eventually link the results to the regeneration of industrial complexes. For this reason, we performed a factor analysis by utilizing 15 indices of 89 industrial parks, excluding 5 large equipment industry sites. The 15 indices were classified into 5 factors. Factor 1 can be described as a category of 'urbanization possibility' for the indices of building age, plot ratio of less than $1,650m^2$, and urbanization ratio of the surrounding area. Factor 2 can be described as a category of 'productive efficiency' for the indices of land productivity, amount of exports by land, employment productivity, and repair costs of industrial areas. Factor 3 can be described as a category of 'infrastructure amenity' for the indices of road ratio, plot ratio attached to the road, and parks and recreation ratio. Factor 4 can be described as a category of 'location potentiality' for the indices of land price, infrastructure age, and distance to the highway, while factor 5 can be described as a category of 'availability of supporting facilities' for the indices of parking lot ratio and supporting facility land ratio. By using these 5 factor scores, we were able to extract industrial parks included in the lower 25% of the factor score and searched for what kind of factor problem they have for each industrial park. Based on these results, this research will provide sufficient information on the decline of industrial parks with respect to their demerits. The results of this study show significant implications and contribute to the establishment of policies for regional competitiveness, as well as job creation, in the process of industrial regeneration.

• Korean Journal of Social Welfare Studies
• /
• v.49 no.2
• /
• pp.159-180
• /
• 2018

The purpose of this study is to identify the trajectories in the use time of children from community children centers and to examine the predictive factors and developmental factors related to each trajectory. The data were derived from the second stage of the Community Children Center Panel Survey using from the first wave (2014) to the third wave (2016). A total of 606 samples were selected from the forth to sixth grades of elementary school. Latent class growth model was employed to identify the trajectories, and the multinominal logistic regression and the logistic regression analysis were used to examine predictive factors and developmental factors. Main results indicated that three types of trajectory were identified: high using group, low using group, and high initial using-rapid declining group. Sex, parental supervision, and use duration were found to be significant predictors. Regarding developmental factors, children who constantly use the community children centers were more likely to increase academic performance and school adaptation. However, no significant results were found for aggression and delinquent behaviors. Based on these findings, this study have suggested the future direction of the community children center.

• Korean Journal of Environment and Ecology
• /
• v.34 no.2
• /
• pp.179-187
• /
• 2020

The study was conducted on Godeoksan, Gangdong-gu, Seoul, for the study of elderly people's park use and satisfaction. For the analysis, frequency analysis was performed on all items, and reliability analysis was performed to check the validity of the items. Factor analysis was used to identify items that have a significant effect on the customer's satisfaction. Multiple regression analysis was performed using the derived factors. As a result of factor analysis, it was found that the factors affecting satisfaction were composed of three factors and 69.50% of the total variance was explained. The KMO value, which means the sample fit between items, was analyzed as .756. Factors were classified into usage aspect, ecological aspect, and amenityt aspect by reflecting the characteristics of the item. As a result of the multiple regression analysis through the derived factors, the multiple regression equation for the elderly's park use satisfaction was analyzed to be Y = 3.678 + 0.202X₁ + 0.125X₂ + 0.236X₃. In this study, there are limitations in conducting a questionnaire survey for the elderly who lack professional knowledge. In the future, evaluation studies should be conducted for the elderly with specialized knowledge, and it is judged that a comparative study of ecological, utilization, and climatic aspects by age is necessary.

• Proceedings of the KOR-KST Conference
• /
• 1999.10a
• /
• pp.117-122
• /
• 1999

• Proceedings of the Korean Nutrition Society Conference
• /
• 2004.05a
• /
• pp.130-130
• /
• 2004

• Proceedings of KHEA Conference
• /
• 2004.10a
• /
• pp.141-141
• /
• 2004

• Proceedings of the Korean Nutrition Society Conference
• /
• 2000.11a
• /
• pp.95-95
• /
• 2000