• 한국산업융합학회 논문집
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• 제27권4_2호
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• pp.961-972
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• 2024

As the global elderly population rapidly increases, the mental health of the elderly, particularly depression, has emerged as a significant social issue. This study analyzes the various factors influencing depression in the elderly based on the ICF model. Utilizing data from the Korea Welfare Panel Study, the study identifies the types of changes in depression among individuals aged 65 and older and examines the factors influencing these changes. This longitudinal secondary data analysis research uses the most recent three years of data (2021-2023) from the Korea Welfare Panel. The study sample consisted of 965 elderly individuals, and a latent class growth model was applied to identify the types of depression changes, while a multinomial logistic regression analysis was conducted to analyze the influencing factors. The analysis revealed that elderly depression could be categorized into four types: high-level decrease, high-level maintenance, low-level increase, and low-level maintenance. Main influencing factors included gender, age, education, poverty, social trust, social relationships, participation in economic activities, participation in religious activities, and health status. Particularly, social relationships and health status were significant factors affecting the types of depression changes. To mitigate depression in the elderly, a multifaceted approach considering both individual characteristics and social relationships and health status is required. The study suggests the development of community-based programs and trust-building activities at the community level to maintain and strengthen the social relationships of the elderly. These findings can serve as important foundational data for policies and practices aimed at improving the mental health of the elderly.

• 한국지역사회생활과학회지
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• 제20권4호
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• pp.503-514
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• 2009

The purpose of this study was to explore the influencing factors of consumption behavior of healthy functional foods including vitamin/mineral products for overweight and obese Koreans. Overweight and obese Koreans were selected based on the body mass index(BMI) from the KNHANES that was collected in 2007. Probit estimation model was used to find the influencing factors such as age, gender, job, education, income, nutrition education, and cultural capital(parents' education) on consuming the healthy functional foods. Overweight consumers were found to consume vitamin/mineral products and healthy functional foods at 17.5% and 22.7%, respectively. Obese consumers were found to consume vitamin/mineral products and healthy functional foods at 18.2% and 22.8%, respectively. In addition, self decision was found to be a significant factor to consume both products in both groups. Nutritional education and job were significant factors to consume vitamin/mineral products in overweight consumers, while mother's education and job(service) were significant factors in obese consumers. Weight control for body shape, gender, age, and income were significant factors to consume healthy functional foods in overweight consumers, while nutrition label and perceived health status were significant for obese consumers. Therefore, providing consumer information on functional foods might be useful for consumers to consider the healthy functional foods as an available option to purchase. Various influencing factors between two groups might be concerned to develop different strategies for promoting the healthy functional foods consumption including vitamin/mineral products.

• 한국건축시공학회지
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• 제8권4호
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• pp.53-59
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• 2008

Cost estimates are very important to their decision-making in the early stages of a construction project. So Clients have wanted not only to know the results of conceptual cost estimates but also to assess their quality Conceptual cost estimates process is very complex process, so the results of cost estimates are influenced by various factors. So the purpose of this study is to reveal the key factors which influence the reliability of conceptual cost estimates in building construction projects. The analytic hierarchy process is used to determine the relative important weights of elements influencing the conceptual cost estimates. And factor analysis is used to reveal the key factors from the elements that influence the conceptual cost estimates. The results showed that the key factors is an experience level, available data level, level of will for winning the bid, difficulty level of conceptual cost estimate, uncertainty level.

• International Journal of Contents
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• 제12권4호
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• pp.45-52
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• 2016

This study focuses on finding ways to stimulate the growth of agricultural sectors in m-businesses, by analyzing and comparing the factors that influence the purchasing behavior of consumers in the open market, social commerce, and integrated shopping malls. Consumers at various mobile shopping malls answered a survey. Among the nine factors considered, one important factor was the frequency of purchasing agrifoods. Regression analysis produced three results. First, in the open market, in addition to various other advantages, the brand image, reasonable pricing, simple payment system, and convenience of using an app were important factors that influenced the purchasing behavior of the individual consumer. Second, in social commerce, the major factors influencing purchase were the reasonable pricing, quick delivery service, and convenience of using an app. Third, in integrated shopping malls, the brand image, guaranteed after-sale service, the variety of products, quick delivery service, and convenience of using an app were the significant factors.

• 지역사회간호학회지
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• 제20권4호
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• pp.443-452
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• 2009

Purpose: The purpose of this study were to examine the need of community care services and the influencing factors of the need in the family care givers of hospital-based home care patients. Methods: Data were collected from 256 family caregivers, who were recruited from 10 hospitals in a metropolitan city. A structured questionnaire on the characteristics of caregivers, resources, and patients was administered. Also, questions on the need of community care services were added. Logistic regression analysis was used to identify the influencing factors of the need for community care services. Results: The participant needed more transportation service, lease of health care devices, visiting bath, caring, visiting hair dressing than that of housekeeping, short-term care, and day care service. Various variables from the three factors were found to be influenced on the need of community care services. Conclusion: The accessibility of the higher need of community care services should be increased for hospital-based home care users. Also, the factors of Family care giver, Resource, and Patient might be considered to provide community care services of hospital-based home care users.

• Journal of Information Technology Applications and Management
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• 제15권3호
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• pp.91-110
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• 2008

Trust is emphasized as one of the most important factors in various e-commerce related studies. It is no exaggeration to say that in the area of e-commerce, trust-building with customers determines a company's success or failure. That is why most e-commerce based companies spare no time and effort in building trust with customers. Without exception, trust is one of the most critical factors influencing a customer's decision making process of whether to purchase Internet automobile insurance. This study attempts to provide useful guidelines for the sales-enhancing strategies of Internet automobile insurers, by delving into research questions concerning 1) gender differences in Internet automobile insurance customers' recognition of trust, and 2) gender differences in the effective trust factors influencing one's intention to purchase of Internet automobile insurance. The study finds that while the shape of trust-recognition toward three types of trust factors is very similar for both gender groups, the intensity of trust for each gender group in overall is pretty different. The results indicate that there exist gender differences in the trust factors influencing one’s intent to purchase Internet automobile insurance. The results of this study will provide useful guidelines for Internet automobile insurers in establishing effective and differentiated marketing strategies.

• Journal of Information Science Theory and Practice
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• 제10권2호
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• pp.86-101
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• 2022

This research aimed at studying the factors that influence new media exposure of political news by youths in Isan society in Thailand. The target group comprised 1,200 individuals, obtained from multi-stage sampling from undergraduate students in Isan's autonomous universities, governmental universities, and private institutions. The data collection tool was a questionnaire, the content of which was validated by experts. The reliability of the tool was tested by the formula for Cronbach's alpha coefficient, which yielded a reliability of 0.83. Multiple regression analysis was applied to analyze the data. The results, regarding factors influencing the channels for political news exposure, showed that channels for political news exposure were mostly influenced by inner drives, followed by importance in political news exposure, influence from social networks, and specific characteristics of the Internet. This could explain the variation of channels for political news exposure at 46.5%. In terms of factors influencing political news selection, it was found that political news selection was influenced mostly from social networks, followed by inner drives, benefits from political news exposure, specific characteristics of the Internet, and the field of study. The variation of the political news selection could be explained at 44.6%. These results elaborate on the current situation in Thailand, especially in Isan region, where youths in higher education are playing an increasing role in demonstrating their political stance through various political activities.

• 방송공학회논문지
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• 제24권3호
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• pp.515-526
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• 2019

특정 상품에 대한 사용자의 선호도는 상품의 질 외에도 많은 요소들에 의해 결정된다. 추천시스템에 있어 이러한 외적 요소들의 반영은 데이터의 부족을 포함한 여러 가지 근본적인 문제가 존재하여 지난한 일이었다. 그러나 공공데이터의 개방과 다양하고 방대한 양의 데이터를 가진 평가 플랫폼의 등장 등 기반 환경이 갖춰짐에 따라 외적 요소들의 접근이 용이해 졌다. 이러한 변화에 따라 본 논문은 상품의 품질 외에 사용자의 선호도에 영향을 주는 요소들을 반영할 수 있는 추천시스템 구조를 제안하고 사례를 적용하여 이러한 요소가 실제 선호도에 미치는 영향을 관찰하고자 한다. 제안하는 시스템의 구조는 크게 영향요소를 선정하고 추출하는 과정과 문장 분석을 활용하여 부족한 데이터를 보충하는 과정, 평가데이터와 영향요소를 결합하고 병합하는 과정으로 나눌 수 있으며 제안시스템의 결과 그룹과 실제 사용자 선호도 그룹 간 비교를 통해 구조 변수 설정의 적절성 등을 판단할 수 있는 검증 과정 또한 함께 제안한다.

• Journal of Korea Trade
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• 제25권3호
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• pp.116-133
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• 2021

Purpose - Intra-industry trade of agricultural products can eliminate the disadvantage of Korea's traditional agriculture and improve its lack of comparative advantage. The main purpose of this paper is to measure the level and index of intra-industry trade of Korean agricultural products and to explore the spatial dependence and spillover effect associated with this type of trade. The main factors influencing intra-agricultural trade are analyzed from two perspectives: the population and the classification of agricultural products. Design/methodology - First, the level of intra-industry trade of Korean agricultural products is measured. Second, to obtain a more accurate estimate of the influence of various factors, and based on two types of weight matrices, a spatial econometric model is constructed from two aspects: population and classification of agricultural products. The status and the factors influencing intra-industry trade are also studied. Findings - It is concluded that there is a positive spatial correlation between Korea's intra-industry trade in agricultural products and that of its trading partners. The spatial spillover effect of this type of trade is verified by using the spatial autoregressive model (SAR). Labor-intensive agricultural products are found to have a positive spillover effect on intra-industry trade, while land-intensive products do not have a significant effect. Originality/value - In this paper, the two types of agricultural products are meticulously distinguished, and the spatial effect of the intra-industry trade of agricultural products as well as the influence of various factors are analyzed. In addition, the accuracy of the estimation of the coefficients of the factors by using the spatial econometric model is higher than that of the ordinary panel data model.

• 한국지역사회생활과학회지
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• 제25권2호
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• pp.147-161
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• 2014

This study explores the factors influencing employees' use of family-friendly programs. Although recent years have witnessed an increasing number of family-friendly programs offered in the workplace, many studies have reported a lack of their actual use. This study considers various socio-demographic and workplace characteristics such as attitudes toward gender roles, and the perceptions of the work environment to better understand the reason behind this insufficient use. For this, data from the 2nd National Korean Family Survey in 2010 were employed. The results based on a total of 408 employees with diverse occupations indicate that among the four family-friendly programs evaluated(flexible working hours, child care, dependant care, and employee wellbeing), child care programs were most frequently provided by employers. In addition, the factors influencing employee participation in family-friendly programs were associated mainly with workplace characteristics or attitudes toward gender roles. The work environment including the employee's perceptions of how comfortable it is to accept assistance from family-friendly programs was also a key factor. Personal characteristics such as age and attitudes toward gender roles except for family needs had significant effects on employee participation in family-friendly programs. Future research should examine the effects of various environmental factors on employees' responses to family-friendly programs and investigate additional factors that can further enhance the effectiveness of such programs.