• Title/Summary/Keyword: 한동

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Difference in Happiness Level of Workers Depending on the Leadership Type (상사의 리더십 유형에 따른 근로자의 행복 수준 차이)

  • Cho, Hyun-Jung;Lee, Hyunmin;Lee, Yujin
    • Knowledge Management Research
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    • v.23 no.3
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    • pp.111-128
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    • 2022
  • The purpose of this study is to identify the difference in happiness of workers depending on the perceived leadership types in a big company in Korea. The research objectives were 1) to identify the managers' leadership types which their workers perceive in a big corporate organization, and 2) to analyze the difference in a degree of workers' happiness according to the types of manager's leadership. To this end, a latent profile analysis was conducted. The research results are as follows. There were four types of leadership: 1) the Elite type which shows perfect ability in each area of self-management, task management, people management, and organization management, 2) the Competent type which has excellent self-management skills, good levels of task management and organizational management skills, but relatively poor people management skills, 3) the Self-centered type with the average levels of self-management, task management and organization management but with the poor level of people management skills, and lastly 4) the Passive type with the average level of self-management, somewhat low levels of task management and organization management skills and the poor level of people management skills. In addition, there was a statistically significant difference in the degree of happiness of workers according to the manager's leadership type. This study is meaningful in that it presented the leadership types of managers in a big company through the latent profile analysis and provided its implications on the workers' happiness.

Social Network Analysis of Long-term Standby Demand for Special Transportation (특별교통수단 장기대기수요에 대한 사회 연결망 분석)

  • Park, So-Yeon;Jin, Min-Ha;Kang, Won-Sik;Park, Dae-Yeong;Kim, Keun-Wook
    • Journal of Digital Convergence
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    • v.19 no.5
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    • pp.93-103
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    • 2021
  • The special means of transportation introduced to improve the mobility of the transportation vulnerable met the number of legal standards in 2016, but lack of development in terms of quality, such as the existence of long waiting times. In order to streamline the operation of special means of transportation, long-term standby traffic, which is the top 25% of the wait time, was extracted from the Daegu Metropolitan Government's special transportation history data, and spatial autocorrelation analysis and social network analysis were conducted. As a result of the analysis, the correlation between the average waiting time of special transportation users and the space was high. As a result of the analysis of internal degree centrality, the peak time zone is mainly visited by general hospitals, while the off-peak time zone shows high long-term waiting demand for visits by lawmakers. The analysis of external degree centrality showed that residential-based traffic demand was high in both peak and off-peak hours. The results of this study are considered to contribute to the improvement of the quality of the operation of special transportation means, and the academic implications and limitations of the study are also presented.

A Study on Problems in TV Drama Contents Containing Sexual Socialization - Focusing on Adultery Content and Married Men and Women - (성적 사회화를 담은 TV 드라마 콘텐츠에 대한 문제의식 고찰 - 불륜 콘텐츠와 기혼 남녀를 중심으로 -)

  • Lee, Hee-Jin
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.8
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    • pp.63-74
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    • 2021
  • This study focuses on the increasing supply and consumption of affair dramas on TV with the theme of unconventional 'infidelity', therefore, is an empirical study that reveals factors related to the problem consciousness of married men and women about infidelity dramas that can affect the sexual socialization of married men and women. This study investigates the effect of married men and women's right to sexual self-determination between couples, personal psychological characteristics (emotional maturity, emotional alienation, self-perception), surrounding environmental characteristics (prevalence of extramarital relationships), and demographic background (gender, age, educational background, economic level) on 'the presence or absence of critical consciousness of infidelity dramas'. For the data of this study, an online survey is conducted on married men and women(614 people), and binary logistic analysis is conducted using SPSS. As a result of this analysis, first, 46% of married men and women have a relatively good level of critical awareness of affair dramas, and overall, the level of critical thinking of married men and women about the infidelity dramas is rather low. Second, there is no significant difference between genders in the perception of problems such as 'excessive beautification of infidelity', 'incitement of infidelity' and 'damage of family values', however, married women are more critical than married men regarding 'explicit sexual description', indicating differences according to gender characteristics. Third, for married men, the level of 'self-perception' and 'marital sexual self-determination right' have a significant effect on the critical mind with infidelity dramas. In the case of married women, it is found that 'the right to sexual self-determination' between married couples and 'emotional alienation' have a significant effect on 'the presence or absence of critical consciousness of infidelity dramas'.

The Effect of Individuals' Vulnerability to the Different Sex's Physical Attractions on Their Own Acceptance of Extramarital Relationship and Intentions of Open Marriage (이성의 신체적 매력에 대한 취약성이 본인의 혼외관계 수용성 및 개방결혼의도에 미치는 영향)

  • Lee, Hee-Jin
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.7
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    • pp.203-216
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    • 2020
  • The purpose of this study is to reveal the effects of the VDSPA(Vulnerability to the Different Sex's Physical Attraction) on IOM(the intention of open marriages), the mediating effect of the SAEMR(Self Acceptance of Extra-Marital Relationship) and the moderating effect of gender. This is an empirical research based on data analysis obtained by surveying 655. The notable findings are as follow: First, respondents' perceptions of their own extramarital affairs(M=2.284) and open marriages(M=2.175) are generally negative, but women were more negative than men. Second, both men and women were vulnerable to the physical attraction of the opposite sex(M=3.569), especially men than women. Third, the more vulnerable to the physical attraction of the opposite sex, the more receptive to their own infidelity. The more receptive to their own extramarital affair, the more clear their intention to open marriage. Lastly, in the case of women, it is confirmed that the vulnerability of the physical attraction of the opposite sex has a significant effect on the intention of an open marriage, with the acceptability of the one's own infidelity as a mediator. In the case of men, there is no mediating effect of accepting their own extramarital affairs, which proved to be a moderating effect by gender. Unlike men, in the case of women, it is concluded that 'accepting their own extramaritality is a critical factor that directly or indirectly has a significant effects on their intention to open marriage.

A Study on Effective Real Estate Big Data Management Method Using Graph Database Model (그래프 데이터베이스 모델을 이용한 효율적인 부동산 빅데이터 관리 방안에 관한 연구)

  • Ju-Young, KIM;Hyun-Jung, KIM;Ki-Yun, YU
    • Journal of the Korean Association of Geographic Information Studies
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    • v.25 no.4
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    • pp.163-180
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    • 2022
  • Real estate data can be big data. Because the amount of real estate data is growing rapidly and real estate data interacts with various fields such as the economy, law, and crowd psychology, yet is structured with complex data layers. The existing Relational Database tends to show difficulty in handling various relationships for managing real estate big data, because it has a fixed schema and is only vertically extendable. In order to improve such limitations, this study constructs the real estate data in a Graph Database and verifies its usefulness. For the research method, we modeled various real estate data on MySQL, one of the most widely used Relational Databases, and Neo4j, one of the most widely used Graph Databases. Then, we collected real estate questions used in real life and selected 9 different questions to compare the query times on each Database. As a result, Neo4j showed constant performance even in queries with multiple JOIN statements with inferences to various relationships, whereas MySQL showed a rapid increase in its performance. According to this result, we have found out that a Graph Database such as Neo4j is more efficient for real estate big data with various relationships. We expect to use the real estate Graph Database in predicting real estate price factors and inquiring AI speakers for real estate.

Relationship between Levels of Problem Gambling and Stress among Gambling Addicts: The Multiple Mediation Effects of the Basic Psychological Needs (도박중독자의 문제도박 수준과 스트레스와의 관계: 기본심리욕구의 다중매개효과)

  • Kim, Jae-Hwan;Jang, Sung-ho;Shin, Sung-man
    • Korean Journal of Culture and Social Issue
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    • v.28 no.1
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    • pp.43-59
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    • 2022
  • This study conducted a multiple mediation analysis using sub-factors of basic psychological needs (BPNs) as mediators in the relationship between problem gambling and stress of gambling addicts to confirm that BPNs and stress, which affect gambling addiction, may be the result of problem gambling and to find effective intervention strategies. A total of 206 adults gambling addicts were screened by using CPGI. Descriptive statistics, correlation, hierarchical regression, and mediation analysis were conducted. Hierarchical regression analysis results yielded that problem gambling and sub-factors of BPNs were significant predictors of stress when controlling for gender and debt. The sub-factors of BPNs mediated the relationship between problem gambling and stress. These results indicated that BPNs and stress are not only the causes of gambling addiction but also the results from the harmful consequences of gambling addiction. The study supported the possibility of the psychological process of "Deficits of BPNs (of gambling users) → stress (of gambling users) → problem gambling → gambling addiction (of gambling addicts) → problem gambling → Deficits of BPNs (of gambling addicts) → stress (of gambling addicts)" among the variables and provided clinical implications for problem gambling counseling. Lastly, the limitations of this study and suggestions for further study were discussed.

Latent Profile Analysis of Korean Adult Gamblers' Psychological Characteristics and Their Differences in Levels of Problematic Gambling (잠재프로파일 분석을 이용한 성인 도박자의 심리적 특성과 문제도박 수준의 차이)

  • Jaehwan, Kim;Seongeun, Oh;Sungho, Jang
    • Korean Journal of Culture and Social Issue
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    • v.28 no.4
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    • pp.577-595
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    • 2022
  • The purposes of the study is to classify the psychological characteristics of gamblers using by latent profile analysis and to identify the consequences according toof the latent profiles. The subjects of the study are 473 adults gamblers who responded to a online survey about gambling patterns, basic psychological needs(BPNs), and mental health status(MHS) such as stress, depression, and anxiety. Using latent profile analysis known as the person-centered analysis, the results showed that psychological characteristics of gamblers were classified into three groups: 'Lower MHS-BPNs', 'Middle MHS-BPNs', and 'Upper MHS-BPNs'. Also, the as outcome variable, levels of problematic gambling(KCPGI) showed significant differences across the latent profiles such as Problem gambling(M=11.393) on 'Lower MHS-BPNs', Moderate-risk gambling(M=4.277) on 'Middle MHS-BPNs' and Low-risk gambling (M=1.718) on 'Upper MHS-BPNs'. Overcoming the limitations of variable-centered analysis in the existing studies, this study providesreveals new insights onin the psychological characteristics of gamblers and how different latent profiles of gamblers may be in theirdistinct levels of problematic gambling. Finally, limitations of the study and future directions for research on gambling problems are discussed.

A Study of Film Crews' Needs to Participate in Overseas Production : On the Basis of Binary Logistics Analysis and Marginal Effect Method (영화제작인력들의 해외활동 참여욕구에 관한 연구 : 이분형 로지스틱 분석 및 한계효과분석을 중심으로)

  • Lee, Hee-Jin
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.4
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    • pp.27-37
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    • 2019
  • This study empirically identified and sought implications for the degree of desire by film crews to participate in overseas production and the factors affecting them, based on the recognition that the active participation of skilled film crews in overseas production and joint ventures can be an alternative to the poor treatment of domestic film industry sites and the reduction of job losses due to problems with career barriers. In order for respondents to verify research questions, binomial logistic and marginal effects analysis using SPSS and STATA, the data obtained by surveying 402 film crews operating in various areas. The notable findings are as follow: First, about 65%(263 people) of the respondents expressed their desire to participate in overseas activity, indicating that a considerable number of film crews are looking forward to opportunities with overseas productions. Second, major factors that have a positive effect on film crews' need to participate in overseas activities have been found to be professionality, artistic identity, Korean Wave persistence, and career barriers. In other words, the higher the professionality, the more clearly the identity of the artist, the more positive expectations of the possibility of the Korean Wave continuing, and the more serious the problem of career disability, the clearer was the desire to participate in overseas production and joint-work activities.

A Study on the Intention to use Personal Mobility Services: Focused on the SOR(Stimulus-Organism-Response) Model (퍼스널 모빌리티 사용의도에 관한 연구: SOR(Stimulus-Organism-Response) 모델을 중심으로)

  • Wonguk Lee;Heetae Yang
    • Information Systems Review
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    • v.24 no.2
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    • pp.67-88
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    • 2022
  • This study proposed a research model that can explain the usage intentions of users and non-users by considering the performance aspects of personal mobility and external environmental factors based on the SOR (Stimulus-Organism-Response) model, A survey was conducted targeting domestic users and non-users, and research models and hypotheses were verified through Partial Least Square (PLS) and Artificial Neural Network (ANN). As a result of the analysis, it was confirmed that the users' perceived satisfaction and perceived trust had a positive effect on their intention to use, and that perceived risk and environmental value had a significant relationship with perceived satisfaction and perceived trust. For non-users, it was found that there was a positive correlation between perceived satisfaction and intention to use, and it was verified that perceived risk and environmental value, like users, were significant antecedents of perceived satisfaction and perceived trust. Among the remaining variables, the perceived mobility of users and the perceived ease of use of non-users were respectively presented as important influencing factors on perceived satisfaction.

Research on Training and Implementation of Deep Learning Models for Web Page Analysis (웹페이지 분석을 위한 딥러닝 모델 학습과 구현에 관한 연구)

  • Jung Hwan Kim;Jae Won Cho;Jin San Kim;Han Jin Lee
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.2
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    • pp.517-524
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    • 2024
  • This study aims to train and implement a deep learning model for the fusion of website creation and artificial intelligence, in the era known as the AI revolution following the launch of the ChatGPT service. The deep learning model was trained using 3,000 collected web page images, processed based on a system of component and layout classification. This process was divided into three stages. First, prior research on AI models was reviewed to select the most appropriate algorithm for the model we intended to implement. Second, suitable web page and paragraph images were collected, categorized, and processed. Third, the deep learning model was trained, and a serving interface was integrated to verify the actual outcomes of the model. This implemented model will be used to detect multiple paragraphs on a web page, analyzing the number of lines, elements, and features in each paragraph, and deriving meaningful data based on the classification system. This process is expected to evolve, enabling more precise analysis of web pages. Furthermore, it is anticipated that the development of precise analysis techniques will lay the groundwork for research into AI's capability to automatically generate perfect web pages.