• Title/Summary/Keyword: Social Interest

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Maternal Early Parent Attachment and Social Interest: The Effect of Attachment Anxiety and Attachment Avoidance (어머니의 초기부모애착과 사회적 관심: 애착 불안과 애착 회피를 중심으로)

  • Ha Yeoung, Min
    • Human Ecology Research
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    • v.62 no.1
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    • pp.69-80
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    • 2024
  • This study explored the relationship between maternal early parental attachment (EPA) and social interest. The participants were 311 mothers with elementary schoolchildren who lived in the Daegu-Gyeongbuk area. Data were collected through an online questionnaire provided on the portal site and analyzed using k-means clustering, t-test, One-Way ANOVA, and Pearson's correlation using IBM SPSS Statistics 21 for Windows and, RMSEA, TLI, NFI and CFI using IBM SPSS AMOS 18 for Windows. The principal results were as follows. Firstly, mothers' EPA anxiety and avoidance had a negative influence on social interest. Secondly, social interest was found to be significantly higher among mothers with a secure attachment style than among mothers with an insecure attachment style. Thirdly, significant differences were observed in levels of social interest among mothers with secure, preoccupied, dismissive, and disorientated attachment styles. A Scheffé post-hoc test revealed that social interest was significantly higher among mothers with a secure attachment style than among mothers with a disorientated attachment style. The experience of relationships with caregivers early in life is therefore important in the development of social interest.

How a Luxury Brand Can Enhance its Product Attractiveness in Retail Environment?

  • Ahn, Sungsook;Lee, Jeonghoon
    • Journal of Distribution Science
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    • v.13 no.12
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    • pp.5-11
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    • 2015
  • Purpose - The purpose of this research is to investigate the influence of social status perception and interest in social issues on the authenticity perceived by consumers of the corporate social responsibility (CSR) activities of premium brands. Research design, data, and methodology - Behavioral experiments were performed to observe the impact of consumers' social status perception and interest in social issues on their perceived authenticity of CSR motivation related to premium brands and consumer behavior. Results - We found that the possibility of social mobility and the degree of individuals' interest in the environment and CSR enable them to reconsider the authenticity of CSR motivation, thereby having positive effects on purchase intention, willingness to recommend the product, and brand value. This research also showed that proactive customers who seek to move up the social ladder have a stronger interest in social issues such as the environment or CSR. Conclusions - Our research suggests that when conducting a consumer segmentation analysis for the launch of CSR products (products released for CSR), a positive mind-set toward social mobility serves as an effective criterion.

Effect of Stress, Impulsivity, Peer Attachment and Social Interest on Gambling Behavior

  • JI, Jaehyun;KIM, Minchang;KO, Seokhyun;JUNG, Minhyuk;HAN, Jaepil;SEO, Bo-Kyung
    • The Korean Journal of Food & Health Convergence
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    • v.7 no.2
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    • pp.11-24
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    • 2021
  • This study identified the severity of youth gambling behavior and analyzed the impact of stress, impulsivity, peer attachment and social interest on youth gambling behavior. Based on the results of the study, the government sought to help understand teenagers who are addicted to gambling and to help them maintain psychological and social stability and healthy living. A total of 237 high school students were surveyed. According to the analysis, the prevalence rate was found to be 3.4 percent of the problem gambling group and 9.3 percent of the medium-risk gambling group, and a total of 12.7 percent was addiction. Low-risk gambling groups accounted for 16.9 percent and non-problem gambling groups accounted for 70.5 percent. By gender, male students have more serious gambling problems than female students. As a result of dividing the group that experienced gambling more than once and the group that did not experience gambling into gambling group and non-gambling group, the two groups showed significant differences in impulsiveness, avoidant attachment, and interest in others. Furthermore, a correlation analysis was conducted to examine the relationship between these factors and the level of gambling behavior, showing that only impulsivity was significant.

Development of a Method for Measuring Social Interest Index on Disaster Using News Data (뉴스 데이터를 활용한 재난에 대한 사회적 관심 측정방법 개발)

  • Eun Hye Shin;Do Woo Kim;Jae Hak Chung;Seong Rok Chang
    • Journal of the Korean Society of Safety
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    • v.38 no.5
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    • pp.27-35
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    • 2023
  • Social interest in disasters is a significant factor in shaping disaster management policies, enabling the enhancement of disaster safety management and prevention activities according to the specific needs of society. However, in the past, there were limits to measuring which disasters society was particularly interested in. Hence, in this study, a method of measuring social interest using news data was devised. Specifically, we classifed news reports into natural and social disasters, creating a comprehensive Social Interest Index (SII) on disasters covering from 2011 to 2021. Additionally, we quantitatively compared the SII with budgets allocated to disaster-related efforts. Our primary findings are as follows: First, our methodology not only distinguishes natural disasters from social disasters but also identifies emerging areas of societal concern. Second, in recent years (2014-2021), social disasters gained more attention than natural disasters. Third, the disaster safety budget accounted for approximately 3.5% of Korea's total budget, closely paralleling the SII we measured. However, exceptions were noted in cases such as heavy snow, cold waves, and heat waves, where the SII remained high, but the disaster safety budget was relatively low, indicating potential outliers. The findings of this research are projected to contribute to the improvement of national disaster management policies by providing a quantitative measure of social interest in disaster, enabling more informed and effective policy decisions.

The relationship among self-efficacy, engineering interest and social support on adjustment to college and learning persistence in first year engineering college students (공과대학 신입생의 자기효능감, 공학흥미, 사회적지지, 대학생활적응 및 학업지속의향 간의 관계)

  • Lee, Myunghwa;Lee, Jeongmin
    • Journal of Engineering Education Research
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    • v.21 no.6
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    • pp.13-24
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    • 2018
  • The purpose of this research is to investigate the relationship among self-efficacy, engineering interest and social support on adjustment to college and learning persistence in first year engineering college students. The participants were 74 freshman of engineering college students, SPSS and SmartPLS were used to analyze the data. The key findings revealed were as follows: First, self-efficacy, engineering interest and social support had a significant influence on adjustment to college. Second, engineering interest and adjustment to college had a significant influence on learning persistence. This research suggested the implications for adjustment to college and learning persistence in engineering education.

Graph-based Event Detection Scheme Considering User Interest in Social Networks (소셜 네트워크에서 사용자 관심도를 고려한 그래프 기반 이벤트 검출 기법)

  • Kim, Ina;Kim, Minyoung;Lim, Jongtae;Bok, Kyoungsoo;Yoo, Jaesoo
    • The Journal of the Korea Contents Association
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    • v.18 no.7
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    • pp.449-458
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    • 2018
  • As the usage of social network services increases, event information occurring offline is spreading more rapidly. Therefore, studies have been conducted to detect events by analyzing social data. In this paper, we propose a graph based event detection scheme considering user interest in social networks. The proposed scheme constructs a keyword graph by analyzing tweets posted by users. We calculates the interest measure from users' social activities and uses it to identify events by considering changes in interest. Therefore, it is possible to eliminate events that are repeatedly posted without meaning and improve the reliability of the results. We conduct various performance evaluations to demonstrate the superiority of the proposed event detection scheme.

A Study on the Clothing Attitude and Clothing Deviation related to Social Deviation and Clothing Interest of Female High School Students (여자고등학생의 사회적 일탈과 의복관심도에 따른 의복태도 및 의복일탈의 관계에 관한 연구)

  • Kim, Ji-Young;Kim, Joon-Ho
    • Journal of the Korea Fashion and Costume Design Association
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    • v.8 no.3
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    • pp.119-128
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    • 2006
  • The augmentation in social deviation of adolescence is one of the issues that modern society should resolve. Deviation behavior of adolescents is often expressed as clothing behavior being against the social or school rules. Therefore, to understand the social deviation and clothing behavior of adolescents, the study investigated the relationship with the level of social deviation, clothing interest, the attitude toward clothing, and clothing deviation. Survey was utilized to collect the data and subjects were 411 female high school students. Principal component analysis and regression analysis were used to analyze the data. While the level of social deviation of female high school students had no statistically significant influence on the fashion-oriented attitude, clothing interest of them had an effect on the fashion-oriented attitude, suggesting that adolescents, having a high interest in clothing, thought the fashion-oriented attitude as an important clothing attribute. The level of social deviation of subjects had a statistically significant influence on the behavior of clothing deviation. The less the subjects took an interest in clothing and the lower the level of social deviation was, the more they thought the status-oriented clothing attitude as an important clothing attribute. Also, the result revealed a similar tendency in the modesty-oriented clothing attitude to that in the status-oriented clothing attitude.

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Machine Learning Based Stock Price Fluctuation Prediction Models of KOSDAQ-listed Companies Using Online News, Macroeconomic Indicators, Financial Market Indicators, Technical Indicators, and Social Interest Indicators (온라인 뉴스와 거시경제 지표, 금융 지표, 기술적 지표, 관심도 지표를 이용한 코스닥 상장 기업의 기계학습 기반 주가 변동 예측)

  • Kim, Hwa Ryun;Hong, Seung Hye;Hong, Helen
    • Journal of Korea Multimedia Society
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    • v.24 no.3
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    • pp.448-459
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    • 2021
  • In this paper, we propose a method of predicting the next-day stock price fluctuations of 10 KOSDAQ-listed companies in 5G, autonomous driving, and electricity sectors by training SVM, XGBoost, and LightGBM models from macroeconomic·financial market indicators, technical indicators, social interest indicators, and daily positive indices extracted from online news. In the three experiments to find out the usefulness of social interest indicators and daily positive indices, the average accuracy improved when each indicator and index was added to the models. In addition, when feature selection was performed to analyze the superiority of the extracted features, the average importance ranking of the social interest indicator and daily positive index was 5.45 and 1.08, respectively, it showed higher importance than the macroeconomic financial market indicators and technical indicators. With the results of these experiments, we confirmed the effectiveness of the social interest indicators as alternative data and the daily positive index for predicting stock price fluctuation.

The study about social worker's the political participation state and an influenced factor (사회복지사 정치참여 실태 및 영향요인에 관한 연구)

  • Kim, Gyo-Yeon
    • 한국사회복지학회:학술대회논문집
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    • 2005.04a
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    • pp.651-673
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    • 2005
  • Political participation consciousness of social worker is changed and politics participation activity is putting forth with a bud. Currently, the systematic and scientific approach in study of social worker's the political participation is short. This study analyzes the present situation of political participation action and will present political participation action contents and direction in the future. This study may give practical meaning to the social welfare practice and educational scope about what we must do to become a political influence the group. The object of this study is 1229 people in choosing social welfare politics participation investigation committee data. A participation of Korean social worker appeared that a meeting or a demonstration is high when comparing the United States. Also, electioneers, and, government bureaucrat contact, financial contributions is a half experience. The strong variable in explaining social worker's the political participation was a politics efficacy, politics interest. Political efficacy and politics interest, a joining and a political behavior proposal of an association is a influenced factor. Through this result The Civic Volunteer Model is a theory to able to explain social worker's the political participation. Approach growing the political efficacy and politics interest is very important in activating politics participation. Role of a social welfare association or a group was important in order to induce politics participation and concentrate.

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Social Category based Recommendation Method (소셜 카테고리를 이용한 추천 방법)

  • Yoo, So-Yeop;Jeong, Ok-Ran
    • Journal of Internet Computing and Services
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    • v.15 no.5
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    • pp.73-82
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    • 2014
  • SNS becomes a recent issue, and many researches in various kinds of field are being done by taking advantage of it. Especially, there are many researches existed on the system that finds user's interest and makes recommendation based on multiple social data generated on the SNS. User's interest is not only revealed from the user's writing but also from the user's relationship with friends. This study proposes a recommendation method that extracts user's interest by using social relationship and its categorization applies it to the recommendation. In this way, it can recommend user's interest with category based on the writings by the user and furthermore it can apply the user's relationship with his/her friends for more accurate recommendation. In addition, if necessary, the recommendation can be made by extracting any interest shared between the user and specific friends. Through experiments, we show that our method using social category can produce satisfactory result.