• Journal of the Korea Convergence Society
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• v.13 no.5
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• pp.237-247
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• 2022

This study predicts the economic activity level of the elderly in Korea using various machine learning methods. While the previous studies mainly focused on testing the relationship between the economic activity level and the life satisfaction or the social security system, this study aims at the accurate prediction on the economic activity level of the elderly using various machine learning methods and the forecast combination. Dependent variables such as the activity rate, employment rate, etc and independent variables such as the income, average wage, etc compose the dataset in this study. Five different machine learning methods and two forecast combinations are applied to the given dataset. The prediction performances of the machine learning method and the forecast combination varied across the dependent variables and prediction intervals, but it was found that the forecast combination was relatively superior to other methods in terms of the stability of prediction. This study has significance in that it accurately predicted the economic activity level of the elderly and achieved the stability of the prediction, raising practicality from a policy perspective.

• Korean Journal of Social Welfare
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• v.66 no.3
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• pp.277-295
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• 2014

This study was purposed to examine the effect of the parental care burden on the labor force participation of the middle aged and older women. For this, this study used 2,125 samples aged from 50 to 70 years old that were extracted from 1st and 2nd wave of the Korean Retirement and Income Study(KReIS). In order to examine the causal relationship between two variables, Generalized Estimating Equation(GEE) and Multi-nominal Regression analysis were performed. The results showed that there was a positive effect of the parental care burden on the labor force participation of the middle aged and older women. However, this effect was limited only to the employment to the unpaid family workers. In addition, the effect was varied according to the level of caring time to the old parents. Based on that, several policy and practical implications were suggested.

• The Journal of Korean Association of Computer Education
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• v.17 no.4
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• pp.79-88
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• 2014

The purpose of this study is to investigate the barriers and the solutions of the older adults' online information activities. The barriers were categorized into 8 and the solutions into 9 based on the literature review. It revealed that the lack of information devices use skill was the most serious barrier in their online information activities, and the results were different according to gender, academic careers, and residential area.; the improvement of information device environment was the most important solution to resolve the barrier, and different according to academic careers, economic status, and residential area contrary to the barrier. To get rid of the digital devide according to socioeconomic variables, a customized education of information literacy and an elderly-oriented information devices are necessary to resolve the barriers.

• The Journal of the Convergence on Culture Technology
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• v.10 no.6
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• pp.677-689
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• 2024

The quality of life, frailty, economic activity, and other indicators are crucial for assessing older adults' overall well-being and health status. A comprehensive evaluation using this information helps predict the health status of older adults. This study aims to apply and compare machine learning-based prediction models for comprehensive health indicators of community-dwelling older adults. Utilizing data from 4,652 individuals provided by the Aging Research Panel, we assessed various machine learning techniques to fit the predictor variables. Our findings reveal that the LightGBM Regression model performed the best, with an RMSE of 5.082 and an MSE of 25.83. The Gradient Boosting model best predicted current health status, with an RMSE of 0.588 and an R-Square of 0.456. Additionally, the Random Forest model showed strong performance in predicting economic activity participation among older adults. These machine learning-based models offer valuable insights for evaluating health status and predicting economic activity participation, highlighting the importance of employing diverse methodologies for comprehensive predictions.

• Journal of Korean Library and Information Science Society
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• v.45 no.1
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• pp.249-270
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• 2014

The purpose of this study is to discover the mobile-based information behaviors of the older adults with comparison of the college students and then to provide some fundamental ideas of the bridging digital devide for them. For this aims, data were collected from seniors and college students living in Daegu and Kyung-buk province via a self-designed questionnaire, and the data of 375 seniors and 323 college students were analysed with $x^2$ and t-test using SPSS. It revealed that the economic condition did not influence in the possession of mobile devices, and for leisure was most favorite activity in both groups. However, the college student group suggested the supply of free or low price mobile device; whereas the older adults group suggested the spread of education of mobile device usage would be the most important matter for bridging the digital devide. Various results of the study were presented with tables and figures in this paper.

• Journal of the Korean Society for Library and Information Science
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• v.48 no.2
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• pp.159-175
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• 2014

The purpose of this study is to analyze the relationships between the online information activities of older adults and their life satisfaction. Online information activities were categorized into 'information use ability', 'information use time', and 'information device use ability', and the life satisfaction included such as 'feeling of happiness', 'physical condition', and 'economical condition'. A total of valid 341 responses were examined and analyzed to test the research model using SPSS 19 and Amos. It found that the online information use ability and the online information use time had a positive effect to the information device use ability; it showed that the higher the information device use ability the higher their life satisfaction. However, the online information use ability and the online information use time had no effect to the older adults' life satisfaction in this study.

• Fiber Technology and Industry
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• v.8 no.2
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• pp.141-151
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• 2004

국내에서 실버산업의 정의를 살펴보면 고령층의 정신적ㆍ육체적 기능을 향상시키거나 유지시키고 고령자의 완전한 사회활동을 위하여 민간이 시장경제에 입각하여 상품이나 서비스를 공급하는 산업 또는 중산층이상의 경제력있는 노인을 대상으로 수익자부담에 의하여 노후생활에 적합한 상품과 서비스를 공급하는 산업으로 규정하고 있다. (중략)

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.6
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• pp.53-69
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• 2016

The purpose of this study is to analyze the factors of Elderly Social Activity (Employment) Programs participatory intention of middle and old aged and to figure out the undertone of research results. To achieve this aims, we conducted a literature survey on Elderly Social Activity Programs and local informatization, and then designed a questionnaire including the demographic information and the five variables, i.e., satisfaction on local informatization, satisfaction on health condition, satisfaction on economic condition, satisfaction on human relationship, and participatory intention of Elderly Social Activity (Employment) Programs. The data were collected through online and offline survey targeted those aged over 50 and participated in information literacy program in Korea. A total of 333 valid data were analyzed using SPSS and AMOS statistical packages. The results can be summarized as follows: satisfaction on local informatization and satisfaction on health condition have a statistically significant effect on Elderly Social Activity (Employment) Programs participatory intention. In the comparative analysis of two groups between economic active group and economic inactive group, only health has a statistically significant effect on their participatory intention in economic active group, not only health but also local informatization has a statistically significant effect on the their participatory intention in economic inactive group. Therefore, local informatization is an essential prerequisite and local informatization should be improved for the middle aged and elderlies who have willingness to participate in Elderly Social Activity (Employment) Programs.

• Information and Communications Magazine
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• v.29 no.12
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• pp.39-42
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• 2012

스마트워크란 시간과 장소에 얽매이지 않고 언제 어디서나 편리하고 똑똑하게 근무하는 미래지향적인 업무환경을 의미한다. 스마트워크의 성공적인 도입은 업무효율성 향상을 통해 기업의 경쟁력을 강화하고 창의성과 생산성을 제고할 수 있는 혁신의 틀을 제공한다. 특히, 업무에 대한 시간 공간 신체적 조건을 완화시킴으로써 육아여성, 고령층, 장애인 등 근로소외계층의 경제활동 참여를 제고시켜 저출산 고령화 등의 사회문제를 해소하는 등 국가 사회적 측면에서도 스마트워크의 도입은 그 중요성이 날로 증대되고 있다. 향후, 스마트워크 서비스의 조기 활성화를 위해서는 정부 민간 공동의 선도 시범사업 추진, 제도적 기반 마련, 스마트워크 문화 확산 및 여건 조성 등의 정책과제를 발굴하여 추진하여야 한다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.1D
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• pp.29-34
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• 2008

The Korean society has been changed to the aging one. The number of elderly people has been in creasing rapidly. For their social and economic activity, more convenient transport services have to be offered. Specifically, increasing mobility is one of the most urgent policies for them. One action of the policy in Seoul has introduced low floor buses since 2003. This paper shows how low floor buses affect on passengers' boarding and alighting time through the field survey. In the analysis of the survey results it has been found that the low floor buses can reduce average boarding time by 0.8 sec, especially, by 1.1 sec (about 36%) for elderly passengers. These outcomes expect total bus operating hours as well as headways could be reduced, and operating cost and passengers' waiting time could be saved.