• Knowledge Management Research
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• v.24 no.1
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• pp.245-271
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• 2023

The change to the data economy requires a new analysis beyond ordinary research in the management field. Data matching refers to a technique or processing method that combines data sets collected from different samples with the same population. In this study, statistical matching was performed using random hotdeck and Mahalanobis distance functions using 2020 Survey of Korea Venture Firms and 2020 Korea Innovation Survey datas. Among the variables used for statistical matching simulation, the industry and the number of workers were set to be completely consistent, and region, business power, listed market, and sales were set as common variables. Simulation verification was confirmed by mean test and kernel density. As a result of the analysis, it was confirmed that statistical matching was appropriate because there was a difference in the average test, but a similar pattern was shown in the kernel density. This result attempted to expand the spectrum of the research method by experimenting with a data matching research methodology that has not been sufficiently attempted in the management field, and suggests implications in terms of data utilization and diversity.

• Journal of agricultural medicine and community health
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• v.27 no.2
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• pp.127-136
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• 2002

This study was taken to provide data for the approaches of day care service for the elderly in community health practitioner's post through the study on the utilization rate, characteristics and health promotion that the elderly used the day care services. Data collection used three records that case management in take sheet, dementia check list and ADL record during the one year, from June 21, 2001 to June 30, 2002. During the one year, the elderly used day care services were 119 persons that 26.9% of the total elderly population, 1.5 time per used the elderly, and female elderly(88.9%) more used than male elderly. 39.5%of the elderly user have chronic diseases that was arthritis and hypertension and etc. 41.2% of the elderly users have dementia state that score was $17.39{\pm}7.17$(handicapped elderly), $18.43{\pm}7.36$(healthy elderly), but statistically not significant PADL score was $2.18{\pm}0.55$(handicapped elderly), $2.78{\pm}0.30$(healthy elderly), IADL score was $1.78{\pm}0.51$(handicapped elderly), $2.47{\pm}0.60$(healthy elderly) that were statistically significant. One year later, PADL and IADL of the elderly users were improved that statistically significant(p=0.01). The elderly users were wanted rehabilitation service(22.2%), talking service(20.6%), bath service(12.7%), food service(9.5%) of day care services in CHP's post. We are recommended that day care service for the elderly in CHP's post was very useful and contributed to promote ADL functions.

• Land and Housing Review
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• v.12 no.2
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• pp.47-59
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• 2021

This study aims to review the trends of the population outflows in the metropolitan area of Busan and to investigate the factors that affect population out-migration to the Seoul metropolitan area. The following variables are considered for analysis: traditional population movement variables and quality of life variables, such as population, society, employment, housing, culture, safety, medical care, greenery, education, and childcare. The 'domestic population movement data', provided by the MDIS of the National Statistical Office, was used for this research. Out of the total of 57 million population movement data in the period 2012 - 2017, population outmigration from Busan to the Seoul metropolitan area was extracted. Independent variables were drawn from public data sources in accordance with the temporal and spatial settings of the study. The multiple linear regression model was specified based on the dataset, and the fit of the model was measured by the p-value, and the values of Adjusted R2, Durbin-Watson analysis, and F-statistics. The results of the analysis showed that the variables that have a significant effect on population movement from Busan to the Seoul metropolitan area were as follows: 'single-person households', 'the elderly population', 'the total birth rate', 'the number of companies', 'the number of employees', 'the housing sales price index', 'cultural facilities', and 'the number of students per teacher'. More positive (+) influences of the population out-movement were observed in areas with higher numbers of single-person households, lowers proportions of the elderly, lower numbers of businesses, higher numbers of employees, higher numbers of housing sales, lower numbers of cultural facilities, and lower numbers of students. The findings suggest that policies should enhance the environments such as quality jobs, culture, and welfare that can retain young people within Busan. Improvements in the quality of life and job creation are critical factors that can mitigate the outflows of the Busan residents to the Seoul metropolitan area.